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From the CDC: Understanding Autism Spectrum Disorder

Deborah christensen.

Centers for Disease Control and Prevention, Atlanta

Jennifer Zubler

Eagle Global Scientific, San Antonio, TX

Autism spectrum disorder (ASD) is a condition characterized by impaired social communication as well as restricted and repetitive behaviors. It is considered a neurodevelopmental disorder because it is associated with neurologic changes that may begin in prenatal or early postnatal life, alters the typical pattern of child development, and produces chronic signs and symptoms that usually manifest in early childhood and have potential long-term consequences. In past decades, autism was conceptualized as a strictly defined set of behaviors, usually accompanied by intellectual impairment. Today, it is recognized as a spectrum, ranging from mild to severe, in which behaviors vary substantially and the majority of children who fall on the spectrum have average to above average intellectual ability. Here, the authors discuss the risk factors for ASD, its epidemiology, common concurrent conditions, evaluation, diagnosis, treatments, and outcomes.

Autism spectrum disorder (ASD) is a neurodevelopmental disorder that typically manifests in early childhood as impaired social communication and restricted, repetitive behaviors and falls on a spectrum ranging from mild to severe. 1 For example, some people with ASD are nonverbal or speak only in simple sentences, while others are verbally skilled but have problems with social communication and pragmatic language, such that they respond inappropriately in conversation, misunderstand nonverbal communication, or lack age-appropriate competency to establish friendships. People with ASD may have difficulty adapting to changes in their routine or environment. Their interests, which are typically intense, may be limited. Some display stereotyped, repetitive motor movements or unusual sensory responses. Current diagnostic criteria for ASD can be found in the Diagnostic and Statistical Manual of Mental Disorders , fifth edition. 1

RISK FACTORS

ASD etiology is not completely understood, but multiple factors likely contribute to ASD development. 2 Neurologic changes that result in ASD may begin in prenatal and early postnatal life, 3 and genetic factors (both rare and common variants) are a source of population variation in ASD-related behaviors. 4 , 5

Sibling recurrence risk.

Studies have reported that roughly 15% to 20% of younger siblings of children with ASD meet the diagnostic criteria for ASD themselves. 6 , 7 Concordance is higher among monozygotic compared with dizygotic twins. 8 , 9

Other prenatal and perinatal risk factors have been identified, including

  • prenatal exposure to valproic acid 10 or thalidomide, 11 and rubella infection. 12
  • advanced parental age. 13 , 14
  • maternal gestational diabetes and bleeding. 13
  • neonatal complications, including low birth weight and small size for gestational age. 15
  • preterm birth. 16

Although there’s evidence that any of these factors, which can negatively affect prenatal and perinatal health, may increase the risk of ASD, no single prenatal or perinatal factor has been found to have more than a modest association with ASD. 15 Additional reviews and meta-analyses of research on ASD risk factors have been published. 17 – 19 Research into risk factors for ASD is ongoing, including through such case–control studies as the Centers for Disease Control and Prevention (CDC) Study to Explore Early Development (SEED; see www.cdc.gov/ncbddd/autism/seed.html ). Studies have shown that there is no link between receiving vaccines and developing ASD, as is discussed in the evidence-based meta-analysis of case–control and cohort studies by Taylor and colleagues. 20 Additional information on vaccine safety is available from the CDC at www.cdc.gov/vaccinesafety/concerns/autism.html .

EPIDEMIOLOGY

Recent national surveys suggest that 2% to 3% of children ages three through 17 have a current or previous diagnosis of ASD. 21 , 22 A review of data from 2000 through 2014 on eight-year-old children in selected U.S. communities by the CDC’s Autism and Developmental Disabilities Monitoring (ADDM) Network showed that ASD prevalence estimates rose more than 150% over this period, from 6.7 per 1,000 in 2000 to 16.8 per 1,000 in 2014. 23

Sex differences.

CDC data show that ASD prevalence is four times greater in boys than in girls. 23 Higher prevalence among boys may be related to differences in biological susceptibility to ASD 24 or to less frequent or incomplete identification of ASD in girls because girls with ASD have less well-recognized symptom profiles or higher intellectual ability, better language skills, and perceived better social skills. 25

Racial/ethnic differences.

Historically, CDC surveillance reports had estimated higher ASD prevalence among white children compared with both Black and Hispanic children, possibly because of a failure to identify ASD among children across all racial and ethnic groups. Although ASD prevalence estimates continue to be higher among white than among Black and Hispanic children, the disparity has narrowed in recent years, possibly as a result of more effective outreach directed at racial and ethnic minority communities and improved access to diagnostic services. 23 , 26

Other contributing factors to the recent rise in estimated ASD prevalence include

  • changes in ASD diagnostic criteria, clinical practices for identifying and diagnosing children with developmental delays, and reporting practices. 27 – 30
  • improved access to ASD services through better insurance coverage. 30 – 32
  • the inclusion of children with high intellectual ability and few or mild ASD symptoms. 26 , 28

The heterogeneity of ASD prevalence estimates across geographic areas 26 further supports the premise that regional differences in evaluation, diagnosis, clinical and reporting practices, and service access may affect calculated prevalence.

Prevalence trends by state.

The CDC has recently introduced an Autism Data Visualization Tool (see www.cdc.gov/ncbddd/autism/data ), which provides information about trends in ASD prevalence by state.

ASD in adults.

The CDC does not collect prevalence data on ASD in adults; however a population-based survey of adults in the United Kingdom (UK) estimated that approximately 1% met the study criteria for ASD, though most had never been formally diagnosed. 33 A follow-up analysis of these data combined with data collected from participants in the Intellectual Disability Case Register study found a similar combined prevalence rate (1.1%) among adults. 34 While ASD is usually diagnosed in childhood, some people first seek diagnosis in adulthood. Another UK study reported on 255 adults referred to the Autism Diagnostic Research Centre for neuropsychological assessment, 100 of whom were subsequently diagnosed with ASD. 35 Only four of these had a learning disability, as identified through the education system or a recent diagnosis (intelligence quotient [IQ] below 70). It’s not clear why those found to have ASD were not diagnosed earlier in life, but the researchers suggest that comorbid psychiatric diagnoses, which affected 58%, may have been factors, as psychiatric conditions such as anxiety and depression may have concealed ASD traits, delaying appropriate referral.

COMMON CONCURRENT CONDITIONS

Although the proportion of children identified with ASD and concurrent intellectual disability has declined over time, 26 suggesting improved identification of ASD in children with a high level of intellectual ability, a substantial proportion of people with ASD have concurrent intellectual disability. The most recent CDC data indicate that nearly one-third of eight-year-old children with ASD had an IQ within the range of intellectual disability (70 or below). 23

Other conditions that commonly occur with ASD include the following 36 :

  • motor abnormalities, up to 79%
  • attention deficit–hyperactivity disorder (ADHD), 28% to 44%
  • gastrointestinal problems, 9% to 70%
  • sleep problems, 50% to 80%
  • aggressive behavior up to 68%
  • anxiety, 42% to 56%
  • depression, 12% to 70%

Associated pediatric conditions may include language delay, which occurs in up to 87% of three-year-olds with ASD, 37 or language regression (for example, children’s loss of their first few words or the development of severely impaired receptive–expressive language). 38 The risk of children with ASD developing epilepsy is greatest before the age of five and around the time of puberty and is greater in children with concurrent intellectual disability. 38

Neuropsychological and medical conditions, like the core features of ASD, may interfere with health, functioning, and relationships with family members and peers. The complex health care needs of people with ASD are best addressed through the medical home model of care, which is defined by the American Academy of Pediatrics (AAP; see https://medicalhomeinfo.aap.org/overview/Pages/Whatisthemedicalhome.aspx ). It is important to consider the person’s ASD and concurrent symptoms when conducting the history and physical evaluation, weighing treatment plans, and coordinating referrals for medical evaluation and care. 39

Risky behavioral issues.

In addition to associated medical conditions, people with ASD, particularly those with intellectual disability, may display risky behaviors such as self-injury (up to 50%) 36 and wandering, which has been reported by parents to occur in 37.7% of children who have both ASD and intellectual disability and 32.7% of children who have ASD without intellectual disability. 40 These behaviors may pose safety risks and generate considerable stress for both people with ASD and their families. The CDC provides safety information and resources on these and other potential dangers facing children with special needs at www.cdc.gov/ncbddd/disabilityandsafety/index.html . Families may also find toolkits from Autism Speaks to help them address challenging behaviors at www.autismspeaks.org/family-services/tool-kits/challenging-behaviors-tool-kit .

Nurses can help facilitate the coordination of treatment and safety approaches to challenging behaviors across home and community settings, including schools. Children with disabilities, including ASD, may be at increased risk for maltreatment, including neglect and physical abuse due to caregiver stress. Nurses should be prepared to recognize the signs of maltreatment and intervene when necessary. The Child Welfare Information Gateway, a service of the Children’s Bureau of the Administration for Children and Families at the U.S. Department of Health and Human Services (HHS), provides several resources for health care professionals on child maltreatment at www.childwelfare.gov/topics/preventing/developing/collaboration/professionals .

EVALUATION AND DIAGNOSIS

Diagnosing ASD can be challenging. To date, there is no biomarker or medical test that can distinguish those with ASD from those without.

To make a diagnosis, health care professionals rely on

  • developmental history.
  • parent, caregiver or self-reported responses to questions about ASD-related behaviors.
  • direct observations of behavior.

Concerns initially reported by parents or caregivers of children with ASD often include

  • language delays or unusual language usage.
  • atypical social responses, such as difficulty initiating and sustaining interactions with other children or not responding to their name being called.
  • repetitive behaviors, such as resistance to change.
  • emotional and behavioral reactivity.

High-risk infants.

Data suggest that in high-risk infants (such as those who have an older sibling with ASD), the characteristic signs of ASD, such as social communication difficulties and repetitive behaviors, would usually become apparent between the ages of 18 and 36 months if they too have ASD. 3 However there may be prodromal behaviors that emerge in the first year, including difficulties with emotional regulation, 41 lack of response to bids for attention, inconsistent face gazing, and impaired motor control. 3 These signs may occur before the more easily recognized signs of ASD are apparent and may go unrecognized by parents, caregivers, and health care providers as potential indications of ASD. If, however; parents or caregivers raise concerns about these features with health care providers, it is important that providers take such observations seriously.

Early identification.

Efforts by public, pediatric, and other health organizations have focused on identifying children with ASD as early as possible to facilitate prompt treatment and behavioral intervention. CDC data have indicated that, for nearly all children with ASD, developmental concerns were documented by age 36 months, though there has been little progress in lowering the age of first ASD evaluation. 23 In some cases, ASD can reliably be diagnosed by age two, 37 though the stability of early diagnoses depends on the experience of the diagnosing clinician. Because children with ASD display both typical and atypical behaviors, an average health visit may not allow enough time to observe a child’s atypical behavior 42

Recommendations of the AAP.

To address the complexity of identifying ASD at an early age, the AAP recommends that all children receive ASD-specific screening with a standardized ASD screening test at ages 18 months and 24 months, or whenever concerns arise, and that developmental surveillance occur at each health visit. 39

Developmental surveillance, a flexible, ongoing process of assessment that continues as the child grows, involves the following steps 39 :

  • asking parents or caregivers about concerns they may have regarding their child’s development, and listening and responding to these concerns
  • obtaining and documenting the child’s developmental history
  • noting findings based on informed observation of the child
  • identifying potential risks, strengths, and supportive factors in the child’s medical and life history
  • maintaining an accurate record of the surveillance and screening activities
  • seeking input from and sharing observations and opinions with other health care professionals and educators outside the medical home (for example, with specialty providers or preschool teachers), with the consent of the patient or caregiver

Several online resources are available to assist health care providers in conducting developmental surveillance and to help parents of children in their practice track their child’s developmental milestones (see Developmental Surveillance Resources ).

Developmental Surveillance Resources

  • Developmental Surveillance: What, Why and How, a video for health care providers from the American Academy of Pediatrics (AAP), available at: www.youtube.com/watch?v=sceYLUHhgnU&feature=youtu.be
  • Milestone Tracker, a free app from the Centers for Disease Control and Prevention (CDC) that helps parents identify their children’s developmental milestones and provide support at every stage: www.cdc.gov/MilestoneTracker
  • “Learn the Signs. Act Early” materials from the CDC, which include checklists and videos that can assist providers with developmental surveillance by encouraging parents to monitor their child’s development between health care visits and discuss any concerns: www.cdc.gov/ncbddd/actearly/milestones/index.html
  • Autism Diagnosis Criteria: DSM-5 from Autism Speaks, available at: www.autismspeaks.org/autism-diagnosis-criteria-dsm-5
  • Identifying and Caring for Children with Autism Spectrum Disorder: A Course for Pediatric Clinicians from the AAP, available at: https://shop.aap.org/identifying-and-caring-for-children-with-autism-spectrum-disorder-a-course-for-pediatric-clinicians

Nurses often play a critical role in surveillance, coordination, and championing the efforts of the health care team through the following actions:

  • taking the developmental history
  • eliciting parents’ concerns
  • sharing observations of the child with the primary care provider
  • distributing and scoring age-appropriate screens
  • informing the primary care provider of screening results for discussion with the family
  • submitting and following up on ordered referrals
  • recognizing a pattern of early childhood development consistent with ASD in older children and adults, whose difficulty in developing and maintaining friendships, communicating, and understanding what behaviors are expected in school or on the job may suggest undiagnosed ASD
  • identifying concurrent conditions that often affect people with ASD
  • referring parents of children with ASD, or adults with ASD that was undiagnosed in childhood, to services and specialists

Early intervention and special education.

If ASD risk is indicated on a validated screening tool, or if the provider or parent is concerned the child might have ASD despite normal screening results, the child should be referred promptly for further developmental and medical evaluation as the screening tool may have produced a false negative or the child may have other developmental delays that should be addressed. 43 Children under age three can be referred to the state’s early intervention program (see www.cdc.gov/ncbddd/actearly/parents/states.html for information on early intervention). Patients ages three through 21 can, through the Individuals with Disabilities Education Act (IDEA), receive evaluations and services through their local school district’s special education program. Referral for further developmental evaluation, audiological testing, and assessment for early intervention or special education services can all occur simultaneously. Developmental evaluations may be completed by developmental and behavioral pediatricians, child neurologists, child psychologists, and child psychiatrists.

Currently, there is no curative treatment for ASD, but interventions may reduce troubling symptoms, improving cognition and function, thereby maximizing the ability of people with ASD to participate in the community. Treatment plans are usually multidisciplinary and tailored to the person’s unique strengths and challenges. Some interventions are parent mediated. Behavioral intervention strategies often include social skills training for children and adults and focus on reducing restricted interests and repetitive or challenging behaviors. Occupational, speech, and sensory integration therapy may also be helpful.

For providers who are inexperienced in treating patients with ASD, especially adult patients, it’s important to consider the patient’s ASD diagnosis as one of many variables that affect an individual and to learn how to adapt treatment to accommodate the patient’s strengths, challenges, and differences. 44

ADHD medications.

Although no medications have proven effective in treating the core symptoms of ASD, some may be helpful in reducing concurrent conditions. Medications used to treat ADHD, including methylphenidate (Ritalin and others), atomoxetine (Strattera), and guanfacine (Intuniv), have shown benefit in treating children who have ASD and concurrent ADHD, though they may be less effective and have more adverse effects in these children than in those with ADHD alone. 45 – 47

Two atypical antipsychotic medications, risperidone (Risperdal) and aripiprazole (Abilify), have been shown in randomized controlled trials to reduce irritability or agitation in children and adolescents with ASD, but patients taking these drugs should be monitored for adverse effects, including weight gain and sedation. 48 , 49

Individualized education programs (IEPs).

Children with ASD often have an IEP or a 504 plan through which they may receive behavioral, speech, or occupational therapy, and other services in the school setting. For information about IEPs, visit the IDEA website at https://sites.ed.gov/idea (go to Resources, then Topic Areas). Children with ASD may be taught in a self-contained or general education classroom, be placed in an inclusion classroom that combines elements of both, or spend part of the school day in a general education classroom and part in a self-contained or inclusion classroom.

School nurses may play a role in a child’s treatment plan. For example, they may need to administer medication or assess health problems. School nurses should be aware that children with ASD who experience health problems may have difficulty reporting symptoms of illness or maltreatment and may be challenged by changes in routine such as visiting the nurse’s office, undergoing physical examination, and interacting with unfamiliar staff.

Support for parents.

Providers can direct parents of children with ASD to their state’s free parent support organization, which can be found on the website of Family Voices, a national organization and grassroots network of families of children with special health care needs (see http://familyvoices.org/affiliates ). These state- or territory-based organizations link parents with local resources as well as other parents of children with special needs or developmental disabilities who reside in their community. Families may seek out complementary and alternative therapies and should be encouraged to share and discuss these with their child’s provider.

OUTCOMES IN ADOLESCENCE AND ADULTHOOD

Relatively little is known about how ASD affects outcomes in adulthood, such as level of independence, education, employment, social relationships, community integration, and health status. While for some with ASD, symptom severity decreases over time, 50 studies suggest that outcomes are often poor, especially in the domain of social functioning. 51 A 2012 analysis of data from a nationally representative survey of young adults with ASD, as well as parents and guardians, found that the overall rate of paid employment following high school among young adults with ASD was 55.1%. 52

Poorer health and shorter life spans.

There is evidence that adults with ASD have poorer health and shorter life spans than adults without ASD. 53 A medical record review conducted at a large northern California health care system reported that adults with recent ASD diagnoses had higher frequencies of seizures, hypertension, dyslipidemia, sleep disorders, and psychiatric conditions than sex-and age-matched controls. 54 Another study conducted in the same health care system reported that while utilization of health care services was higher for adults with ASD compared with adults with ADHD and adults with neither condition, women with ASD were less likely to receive gynecologic care and be screened for cervical cancer. 55 Premature mortality among adults with ASD is associated with a variety of medical conditions, including epilepsy, particularly in those with concurrent intellectual disability. 53 , 56 Substantially higher mortality from suicide has been found in people with ASD, especially women and those without concurrent intellectual disability. 53 , 57

Adolescent transition to adult medical care.

Pediatric nurses can help adolescents with ASD prepare for the transition to adult medical care. Adult primary care nurses should be aware of the increasing numbers of people diagnosed with ASD as children who are coming into adult medical care, in addition to those who were diagnosed in adulthood, both of whom will require assistance with medical management and referrals, as well as anticipatory guidance regarding health conditions. Got Transition ( www.gottransition.org ) provides toolkits and other resources for adolescents, young adults, parents, caregivers, and health care providers helping families with this transition.

BEYOND PATIENT CARE: NECESSARY NURSING RESEARCH

ASD is more commonly diagnosed today than it was in the past. In addition to teaching parents and caregivers about developmental milestones, conducting surveillance and screening, assisting with referrals, advocating for appropriate diagnoses, monitoring the effectiveness of treatment plans, and helping families navigate the complex systems of services and resources available for people with ASD, nurses should realize that there is a pressing need for research into interventions and services that can help support people with ASD in securing postsecondary education or training, participating in the workforce, obtaining housing, accessing transportation, and managing their health. A broad range of topics related to ASD outcomes and other issues relevant to primary care are covered in a recent HHS report to Congress, available at www.hhs.gov/sites/default/files/2017AutismReport.pdf .

The authors and planners have disclosed no potential conflicts of interest, financial or otherwise.

For three additional continuing nursing education activities on the topic of autism, go to www.nursingcenter.com .

Contributor Information

Deborah Christensen, Centers for Disease Control and Prevention, Atlanta.

Jennifer Zubler, Eagle Global Scientific, San Antonio, TX.

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Recent developments in autism genetic research: a scientometric review from 2018 to 2022.

research in autism spectrum disorders quartile

1. Introduction

2. materials and methods, 2.1. data collection and conversion, 2.2. document co-citation analysis, 2.3. metrics, 3.1. structural properties of dca network, 3.2. documents with a citation burst, 4. discussion, 4.1. cluster #0: networks and pathways, 4.2. cluster #1: gut microbiota, 4.3. clusters #2 and #3: mouse models, 4.4. clusters #4 and #6: stem cell technology, 4.5. cluster #5: genomic architecture, 4.6. cluster #7: psychiatric disorder, 4.7. cluster #8: sex difference, 4.8. cluster #9: copy number variations (cnvs), 4.9. cluster #10: developmental perspectives, 4.10. cluster #14: antiseizure drug, 4.11. limitations and future recommendations, 5. conclusions, author contributions, institutional review board statement, informed consent statement, data availability statement, conflicts of interest, abbreviations.

ASDAutism Spectrum Disorder
DCADocument Co-Citation Analysis
LLRLog-Likelihood Ratio
GCSGlobal Citing Score
ILAEInternational League Against Epilepsy
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Click here to enlarge figure

Cluster IDSizeSilhouetteMean Publication YearLLR LabelSuggested Label
02180.8232018Intellectual DisabilityNetworks and Pathways
11580.9202019Gut MicrobiotaGut Microbiota
21320.8502018Mouse ModelFragile X Syndrome
31200.8852018Mutant MiceSHANK1,2,3 Genes
41190.8312018Valproic AcidValproic Acid
51100.9192019Genomic ArchitectureGenomic Architecture
61060.8252019Brain OrganoidBrain Organoid
71020.8932020Psychiatric DisorderPsychiatric Disorder
8720.9052019Sex DifferenceSex Difference
9590.9112018Autism Spectrum DisorderCopy Number Variations (CNVs)
10490.9852019Autistic AdultDevelopmental Perspectives
1441.0002020Antiseizure DrugAntiseizure Drug
ReferenceCitation BurstnessPublication YearBurst BeginBurst EndDurationBetweenness CentralitySigma
Lord et al. [ ]14.35720182020202220.00101.01
Grove et al. [ ]9.46220192020202220.01281.13
Iakoucheva et al. [ ]8.08020192020202220.00011.00
Sharon et al. [ ]7.82720192020202220.00661.05
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Kim et al. [ ]7.17220112018201910.00001.00
Abraham et al. [ ]6.81620172020202220.00311.02
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Lee et al. [ ]6.31120192020202220.00061.00
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Velmeshev et al. [ ]6.31120192020202220.00131.01
Matta et al. [ ]6.31120192020202220.00111.01
Estes and McAllister [ ]6.21420152018201910.00201.01
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Yuen et al. [ ]5.97520152018201910.00081.01
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Stahl et al. [ ]5.80520192020202220.00191.01
TitleCoverageGlobal Citing Score
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Gandhi and Lee [ ]529
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Zheng et al. [ ]268
DiCarlo and Wallace [ ]252
Liu et al. [ ]2511
Lombardo et al. [ ]2573
Fattorusso et al. [ ]25140
TitleCoverageGlobal Citing Score
Wang et al. [ ]648
Verma et al. [ ]4623
Gandhi and Lee [ ]439
Joensuu et al. [ ]4037
Guang et al. [ ]3498
Sungur et al. [ ]3412
Bagni and Zukin [ ]33109
Chaudry and Vasudevan [ ]310
Patel et al. [ ]319
Möhrle et al. [ ]2821
TitleCoverageGlobal Citing Score
Wang et al. [ ]548
Soler et al. [ ]4026
Mossa et al. [ ]3519
Yoo et al. [ ]3522
Ali Rodriguez et al. [ ]3410
Joensuu et al. [ ]3337
Sungur et al. [ ]3112
Yoo et al. [ ]2915
Yang and Shcheglovitov [ ]2910
Verma et al. [ ]2923
TitleCoverageGlobal Citing Score
St. Clair and Johnstone [ ]2213
Tartaglione et al. [ ]1928
Hui et al. [ ]188
Filice et al. [ ]1718
Rylaarsdam and Guemez-Gamboa [ ]16118
Napolitano et al. [ ]160
DiCarlo and Wallace [ ]142
Fink and Levine [ ]1414
Patel et al. [ ]149
Nakai et al. [ ]1424
TitleCoverageGlobal Citing Score
Lord et al. [ ]23211
Courchesne et al. [ ]1540
Hoffmann et al. [ ]1514
Ilieva et al. [ ]1439
Hong et al. [ ]1231
Chan et al. [ ]1212
Niu and Parent [ ]1218
Fetit et al. [ ]116
Griesi-Oliveira et al. [ ]1022
Hui et al. [ ]108
TitleCoverageGlobal Citing Score
Al-Dewik et al. [ ]205
Culotta and Penzes [ ]1812
Breen et al. [ ]1413
Gordon and Geschwind [ ]137
Prem et al. [ ]137
Muhle et al. [ ]1276
Grabrucker [ ]142
Saxena et al. [ ]125
Scuderi and Verkhratsky [ ]118
Fink and Levine [ ]1114
TitleCoverageGlobal Citing Score
Lord et al. [ ]18211
Park et al. [ ]1623
Jiang et al. [ ]150
Urresti et al. [ ]1211
Walker et al. [ ]1262
Willsey et al. [ ]121
Hoffmann et al. [ ]1214
Sullivan and Geschwind [ ]12156
Rees and Owen [ ]1228
Mullins et al. [ ]1194
TitleCoverageGlobal Citing Score
Rylaarsdam and Guemez-Gamboa [ ]11118
Lord et al. [ ]10211
Napolitano et al. [ ]90
Rujeedawa and Zaman [ ]90
Lai et al. [ ]853
Kallitsounaki and Williams [ ]60
Müller and Fishman [ ]647
Wilson et al. [ ]67
Howes et al. [ ]6105
Yuen et al. [ ]612
TitleCoverageGlobal Citing Score
Jønch et al. [ ]1119
Egolf et al. [ ]1114
Deshpande and Weiss [ ]1122
Lengyel et al. [ ]101
Takumi and Tamada [ ]955
Rylaarsdam and Guemez-Gamboa [ ]9118
Kushima et al. [ ]8114
Bristow et al. [ ]711
Pucilowska et al. [ ]739
Campbell and Granato [ ]73
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Barros et al. [ ]62
Al-Dewik et al. [ ]65
Lacroix et al. [ ]61
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Nebel et al. [ ]50
Belcher et al. [ ]50
Rozenblatt-Perkal and Zaidman-Zait [ ]51
McCracken et al. [ ]55
TitleCoverageGlobal Citing Score
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Stamberger et al. [ ]310
Hawkins et al. [ ]35
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Lim, M.; Carollo, A.; Dimitriou, D.; Esposito, G. Recent Developments in Autism Genetic Research: A Scientometric Review from 2018 to 2022. Genes 2022 , 13 , 1646. https://doi.org/10.3390/genes13091646

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Lim, Mengyu, Alessandro Carollo, Dagmara Dimitriou, and Gianluca Esposito. 2022. "Recent Developments in Autism Genetic Research: A Scientometric Review from 2018 to 2022" Genes 13, no. 9: 1646. https://doi.org/10.3390/genes13091646

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INSAR Journal

the official journal of The International Society for Autism Research, provides an excellent platform to showcase the highest quality research on autism spectrum disorder and related conditions. The journal distinguishes itself from other journals by offering rapid decision and publication times and by a strong focus on basic genetic, neurobiological, and psychological mechanisms and how these influence developmental processes. Papers related to the epidemiology of autism as well as treatment studies are also welcome at Autism Research. In 2019, the median time to the first decision on submitted papers was 34 days.

A free subscription to Autism Research is a major benefit of membership in INSAR.

The Journal publishes 12 issues a year in electronic format. is edited by an outstanding team of editors including David G. Amaral, Ph.D. (Editor-in-Chief); Peter Mundy, Ph.D. (Senior Associate Editor); Emily Jones, PhD, Genevieve Konopka, PhD, Ralph-Axel Müller, PhD, Diana Schendel, PhD, and Jeremy Veenstra-VanderWeele, MD, PhD (Associate Editors). The editorial team ensures a fair and comprehensive evaluation of papers which is supported by a diverse, international editorial board.

Each issue includes original research articles, brief reports as well as occasional commissioned high-quality review articles or commentaries. Full-color illustrations can be freely used to support findings. The journal also contains items relating to the activities of INSAR, news of Special Interest Groups, and other activities likely to be of interest to the autism research community. Because INSAR is strongly committed to public involvement in science, authors of original scientific papers and reviews are asked to submit lay abstracts. Lay abstracts appear on the INSAR website and are made freely accessible to the public.

is an ideal venue to publish your most exciting results. As one indication of the impact of papers published in the journal, there were 333,701 full-text downloads of articles in 2019. The five countries with the largest number of downloads are The United States, The United Kingdom, China, Australia, and Canada. But, autism researchers from many countries across all continents are reading the research published in the journal. We hope that you will support INSAR and the journal by obtaining a free subscription by joining INSAR and then submitting your most exciting research to the journal.

David Amaral, Editor-in-Chief


 

The Autism 101 series is designed to be instructional i.e. to provide a basic understanding of topics of importance to the autism community. Autism research is inherently multidisciplinary but it is difficult to have a working knowledge of all of the different strategies that are being employed. There are also a number of topics, such as what constitutes evidence-based interventions, that may not be widely understood by many autism researchers. These articles will hopefully fill some of those gaps for both early career and senior autism researchers. This series is open to the public and 

by Giacomo Vivanti
        by Shayal Vashisth and Maria H. Chahrour
       

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Review Journal of Autism and Developmental Disorders

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Subject Area and Category

  • Psychiatry and Mental Health
  • Behavioral Neuroscience
  • Cognitive Neuroscience
  • Developmental Neuroscience

Springer New York

Publication type

21957177, 21957185

Information

How to publish in this journal

research in autism spectrum disorders quartile

The set of journals have been ranked according to their SJR and divided into four equal groups, four quartiles. Q1 (green) comprises the quarter of the journals with the highest values, Q2 (yellow) the second highest values, Q3 (orange) the third highest values and Q4 (red) the lowest values.

CategoryYearQuartile
Behavioral Neuroscience2015Q3
Behavioral Neuroscience2016Q3
Behavioral Neuroscience2017Q3
Behavioral Neuroscience2018Q3
Behavioral Neuroscience2019Q3
Behavioral Neuroscience2020Q2
Behavioral Neuroscience2021Q2
Behavioral Neuroscience2022Q1
Behavioral Neuroscience2023Q1
Cognitive Neuroscience2015Q4
Cognitive Neuroscience2016Q3
Cognitive Neuroscience2017Q3
Cognitive Neuroscience2018Q3
Cognitive Neuroscience2019Q3
Cognitive Neuroscience2020Q3
Cognitive Neuroscience2021Q2
Cognitive Neuroscience2022Q2
Cognitive Neuroscience2023Q1
Developmental Neuroscience2015Q4
Developmental Neuroscience2016Q3
Developmental Neuroscience2017Q3
Developmental Neuroscience2018Q3
Developmental Neuroscience2019Q3
Developmental Neuroscience2020Q3
Developmental Neuroscience2021Q2
Developmental Neuroscience2022Q2
Developmental Neuroscience2023Q1
Psychiatry and Mental Health2015Q2
Psychiatry and Mental Health2016Q2
Psychiatry and Mental Health2017Q2
Psychiatry and Mental Health2018Q2
Psychiatry and Mental Health2019Q2
Psychiatry and Mental Health2020Q2
Psychiatry and Mental Health2021Q2
Psychiatry and Mental Health2022Q2
Psychiatry and Mental Health2023Q1

The SJR is a size-independent prestige indicator that ranks journals by their 'average prestige per article'. It is based on the idea that 'all citations are not created equal'. SJR is a measure of scientific influence of journals that accounts for both the number of citations received by a journal and the importance or prestige of the journals where such citations come from It measures the scientific influence of the average article in a journal, it expresses how central to the global scientific discussion an average article of the journal is.

YearSJR
20150.499
20160.661
20170.722
20180.802
20190.707
20200.856
20210.888
20221.061
20231.398

Evolution of the number of published documents. All types of documents are considered, including citable and non citable documents.

YearDocuments
201427
201531
201626
201726
201828
201928
202024
202138
202254
2023110

This indicator counts the number of citations received by documents from a journal and divides them by the total number of documents published in that journal. The chart shows the evolution of the average number of times documents published in a journal in the past two, three and four years have been cited in the current year. The two years line is equivalent to journal impact factor ™ (Thomson Reuters) metric.

Cites per documentYearValue
Cites / Doc. (4 years)20140.000
Cites / Doc. (4 years)20151.926
Cites / Doc. (4 years)20161.586
Cites / Doc. (4 years)20172.202
Cites / Doc. (4 years)20182.000
Cites / Doc. (4 years)20192.541
Cites / Doc. (4 years)20202.741
Cites / Doc. (4 years)20213.057
Cites / Doc. (4 years)20224.229
Cites / Doc. (4 years)20235.681
Cites / Doc. (3 years)20140.000
Cites / Doc. (3 years)20151.926
Cites / Doc. (3 years)20161.586
Cites / Doc. (3 years)20172.202
Cites / Doc. (3 years)20181.807
Cites / Doc. (3 years)20192.138
Cites / Doc. (3 years)20202.476
Cites / Doc. (3 years)20212.938
Cites / Doc. (3 years)20224.711
Cites / Doc. (3 years)20235.586
Cites / Doc. (2 years)20140.000
Cites / Doc. (2 years)20151.926
Cites / Doc. (2 years)20161.586
Cites / Doc. (2 years)20171.789
Cites / Doc. (2 years)20181.654
Cites / Doc. (2 years)20191.463
Cites / Doc. (2 years)20202.375
Cites / Doc. (2 years)20213.288
Cites / Doc. (2 years)20224.855
Cites / Doc. (2 years)20234.576

Evolution of the total number of citations and journal's self-citations received by a journal's published documents during the three previous years. Journal Self-citation is defined as the number of citation from a journal citing article to articles published by the same journal.

CitesYearValue
Self Cites20140
Self Cites20158
Self Cites20168
Self Cites201710
Self Cites20189
Self Cites20198
Self Cites20202
Self Cites20214
Self Cites20226
Self Cites202327
Total Cites20140
Total Cites201552
Total Cites201692
Total Cites2017185
Total Cites2018150
Total Cites2019171
Total Cites2020203
Total Cites2021235
Total Cites2022424
Total Cites2023648

Evolution of the number of total citation per document and external citation per document (i.e. journal self-citations removed) received by a journal's published documents during the three previous years. External citations are calculated by subtracting the number of self-citations from the total number of citations received by the journal’s documents.

CitesYearValue
External Cites per document20140
External Cites per document20151.630
External Cites per document20161.448
External Cites per document20172.083
External Cites per document20181.699
External Cites per document20192.038
External Cites per document20202.451
External Cites per document20212.888
External Cites per document20224.644
External Cites per document20235.353
Cites per document20140.000
Cites per document20151.926
Cites per document20161.586
Cites per document20172.202
Cites per document20181.807
Cites per document20192.138
Cites per document20202.476
Cites per document20212.938
Cites per document20224.711
Cites per document20235.586

International Collaboration accounts for the articles that have been produced by researchers from several countries. The chart shows the ratio of a journal's documents signed by researchers from more than one country; that is including more than one country address.

YearInternational Collaboration
201414.81
201516.13
201626.92
201719.23
201814.29
201921.43
202016.67
202118.42
202218.52
202318.18

Not every article in a journal is considered primary research and therefore "citable", this chart shows the ratio of a journal's articles including substantial research (research articles, conference papers and reviews) in three year windows vs. those documents other than research articles, reviews and conference papers.

DocumentsYearValue
Non-citable documents20140
Non-citable documents20151
Non-citable documents20161
Non-citable documents20171
Non-citable documents20180
Non-citable documents20190
Non-citable documents20201
Non-citable documents20211
Non-citable documents20223
Non-citable documents20232
Citable documents20140
Citable documents201526
Citable documents201657
Citable documents201783
Citable documents201883
Citable documents201980
Citable documents202081
Citable documents202179
Citable documents202287
Citable documents2023114

Ratio of a journal's items, grouped in three years windows, that have been cited at least once vs. those not cited during the following year.

DocumentsYearValue
Uncited documents20140
Uncited documents20157
Uncited documents201621
Uncited documents201722
Uncited documents201818
Uncited documents201918
Uncited documents202021
Uncited documents202118
Uncited documents202214
Uncited documents202317
Cited documents20140
Cited documents201520
Cited documents201637
Cited documents201762
Cited documents201865
Cited documents201962
Cited documents202061
Cited documents202162
Cited documents202276
Cited documents202399

Evolution of the percentage of female authors.

YearFemale Percent
201467.74
201564.84
201663.11
201765.56
201865.88
201968.04
202066.28
202172.41
202272.03
202367.86

Evolution of the number of documents cited by public policy documents according to Overton database.

DocumentsYearValue
Overton20143
Overton20159
Overton20164
Overton20173
Overton20183
Overton20194
Overton20201
Overton20213
Overton20224
Overton20233

Evoution of the number of documents related to Sustainable Development Goals defined by United Nations. Available from 2018 onwards.

DocumentsYearValue
SDG20184
SDG20197
SDG20201
SDG20219
SDG202218
SDG202327

Scimago Journal & Country Rank

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September 12, 2024

This article has been reviewed according to Science X's editorial process and policies . Editors have highlighted the following attributes while ensuring the content's credibility:

fact-checked

reputable news agency

How parents and caregivers can evaluate the research on MERT and other potential autism treatments

by Corinne Purtill, Los Angeles Times

autism

As diagnoses of autism spectrum disorder have increased in the last two decades, so have the number of experimental and off-label therapies seeking to address the condition.

For parents navigating the complex and often contradictory landscape of autism interventions—while also balancing medical appointments, educational specialists and countless other family needs—evaluating these treatments can be daunting.

Experts in autism research talked to The Times about what parents and patients should watch for when evaluating a potential new treatment—for autism or any other condition.

Take testimonials with a grain of salt

Firsthand accounts of a therapy's life-changing effects can be powerfully compelling. But such stories alone can't indicate how effective a treatment will be for anyone else, autism experts said.

"Be wary of therapies that are sold to you with testimonials. If you go to a clinic website and they have dozens of quotes from parents saying 'This changed my child's life in XYZ ways,' that isn't the same as evidence," said Zoe Gross of the Autistic Self Advocacy Network, a nonprofit group run by and for autistic adults.

"If the main way something's advertised is through testimonials, it may be because there isn't research, or what research was done showed it wasn't effective."

Without accompanying data, there is no way to know whether any patient's experience with a treatment is typical or an outlier. A therapy could have only a 1% success rate, Gross said, and still yield dozens of positive outcomes once thousands of people have tried it.

Former patient stories can be a starting point for an exploration of whether a therapy is right for someone, doctors said, but the exploration shouldn't end there.

"There's an old saying in medicine," said Dr. Andrew Leuchter, director of UCLA's TMS Clinical and Research Service. "The plural of anecdote is not data."

Look for—and at—the research

"Right now, it's really sexy to call yourself 'evidence-based,'" said Dr. David Celiberti, executive director of the nonprofit Assn. for Science in Autism Treatment. "For a consumer, that's amazing. You hear 'evidence-based' and of course, you're going to be drawn to it. But people are using that term very loosely."

In the case of magnetic e-resonance therapy, or MERT, its developer Wave Neuroscience features on its website a library of research. Similar links feature on the sites of many licensee clinics.

Most of the publications related to autism cited by MERT clinics—and, at times, by Wave—are either limited in scope or only tangentially related to the therapy, a half-dozen experts said, including some whose work is cited.

One of them, for example, is a brief 2016 article from the Austin Journal of Autism and Related Disabilities titled "The Potential of Magnetic Resonant Therapy in Children with Autism Spectrum Disorder."

Its authors and advisors said they were surprised to learn the paper was being used to advertise the treatment. The paper contains no data or original research and concludes only that MERT could be studied further as an autism therapy without risk of serious harm.

"This isn't an evidence-based paper. It's an opinion piece about the possibilities of this technology," said Dr. John Crawford, a neurologist at Children's Hospital of Orange County and a co-author of the paper. "It's not that impactful from a scientific perspective."

Who else has verified these findings?

Many MERT clinics feature a 2014 electronic poster presentation that examines data from the charts of 141 children who received transcranial magnetic stimulation , the therapy on which MERT is based, for autism.

Until March, Wave featured the poster on its website and highlighted that 59.1% of 44 participants who completed 12 months of treatment improved their scores on the Childhood Autism Rating Scale, an assessment tool used to gauge symptom severity.

A closer look at the report shows that after five days of treatment, 38 patients were dropped from the analysis because their symptoms either showed no improvement or worsened. One had a seizure during treatment.

The authors excluded dozens more patients for various reasons. Of the remaining 44 patients, 26 saw improvement while getting the treatment. That was 59.1% of those remaining, as the poster said, but only 18.4% of the total study population.

The write-up also notes that many of those 26 children were receiving other therapies at the same time that may have been responsible for some or all of the improvements.

Posters are typically prepared as a way to highlight findings at professional conferences and "cannot be interpreted as having undergone rigorous peer review," said USC neurosurgeon Dr. Charles Liu, a co-author on the poster who is not affiliated with Wave or any MERT clinics.

"The main point of the abstract is and remains that more rigorous studies must [be] done."

If research shows changes, how do you know the therapy caused it?

Wave and licensees also highlight a 2022 paper by a technician at a licensee clinic in Australia who is also a doctoral candidate at Australia's University of the Sunshine Coast.

It looks at data from 28 patients at two MERT clinics in Australia whose brains showed "significant improvement" in their individual alpha frequency waves after treatment.

Although some previous research has found correlations between atypical alpha wave frequency and autism diagnoses, six scientists told The Times that there isn't yet enough evidence to understand how changes in alpha waves affect autistic traits, or any scientific consensus on whether "improvement" in this pattern of brain activity has any meaningful effect on autistic behaviors.

The report is a retrospective chart review, which examines existing data from patients' medical records and is often used to identify interesting outcomes worthy of further study.

By design, it does not include a control group, which is what allows researchers to identify whether any changes they see are related to the variable they are studying. Its authors noted in the paper that findings are preliminary and require further study.

"Because this was not a controlled trial or study, [the cause of the changes] could have been anything including placebo effect, any additional therapies the children were receiving, etc.," said Lindsay Oberman, director of the Neurostimulation Research Program at the National Institute of Mental Health.

Medical research follows a hierarchy of evidence. At the bottom are anecdotes and observations: valid points of information that alone aren't enough to draw broad conclusions from.

Above that are observational studies that collect and analyze preexisting data in a systematic way. And at the top are randomized controlled trials, which are designed to eliminate as much bias as possible from the experiment and ensure that the thing being studied is responsible for any changes observed.

"Families need to know that there is this gold standard for studies—to make sure that something works to help people with autism, it needs to have what's called a randomized controlled trial ," said Alycia Halladay, chief science officer at the Autism Science Foundation.

2024 Los Angeles Times. Distributed by Tribune Content Agency, LLC.

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  • Population Study Article
  • Published: 11 September 2024

Developmental screening of neurodevelopmental disorders before age 6: a nationwide health screening program

  • Jong Ho Cha 1 ,
  • Soorack Ryu 2 ,
  • Minjung Park 3 ,
  • Byung Chan Lim 1 ,
  • Yong Joo Kim 4 &
  • Jin-Hwa Moon 5 , 6  

Pediatric Research ( 2024 ) Cite this article

14 Accesses

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We aimed to investigate the association between developmental screening before 24 months of age and neurodevelopmental disorders (NDDs) at 4–6 years of age.

We included 922,899 newborn born between 2014 and 2016 registered in National Health Insurance Service (NHIS). Developmental screening was administered at 9–12 and 18–24 months old with the Korean Developmental Screening Test for Infants & Children (K-DST). Diagnoses of NDDs was based on the World Health Organization’s International Classification of Diseases, Tenth Revision (ICD-10), provided by the NHIS database.

Among 637,277 individuals who underwent screening at 9–12 and 18–24 months, Screen-positivity (defined as summed score < −2 standard deviation) for gross motor domain at 9–12 months was significantly associated with the incidence of autism spectrum disorder (aHR, 2.24; 95% CI, 1.80–2.80) and cerebral palsy (aHR, 4.81; 95% CI, 3.62–6.38). Screening positive at language domain at 18–24 months old was associated with autism spectrum disorder (aHR 5.50; 95% CI, 4.31– 7.02) and developmental language disorder (aHR 8.67; 95% CI, 7.27–10.33) at 4–6 years of age.

Widespread nationwide implementation of screening programs before 24 months was effective in identifying NDDs at 4–6 years of age. Further strategies integrating with referral and intervention systems should be established.

We investigated the screening effect of nationwide developmental screening program on neurodevelopmental disorders using nationwide data.

Gross motor delay during infancy was significant predictor of later neurodevelopmental disorders.

Language, cognitive, and social delay before 24 months of age was associated with later autism spectrum disorders and developmental language disorders.

Widespread nationwide implementation of screening programs before 24 months was effective in identifying NDDs at 4–6 years of age and should be encouraged.

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Data availability.

The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.

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Acknowledgements

This research was supported by a grant of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea (grant number : RS-2023-00267049). The authors would like to thank Young-Jin Choi and Jae Yoon Na, Department of Pediatrics, Hanyang University for their assistance with data acquisition.

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Department of Pediatrics, Seoul National University Children’s Hospital, Seoul, Korea

Jong Ho Cha & Byung Chan Lim

Biostatistical Consulting and Research Lab, Medical Research Collaborating Center, Hanyang University, Seoul, Korea

Soorack Ryu

Department of Pediatrics, Korea University Anam Hospital, Seoul, Korea

Minjung Park

Division of Pediatric Gastroenterology, Department of Pediatrics, Hanyang University College of Medicine, Seoul, Korea

Yong Joo Kim

Department of Pediatrics, Hanyang University Guri Hospital, Guri, Korea

Jin-Hwa Moon

Division of Pediatric Neurology, Department of Pediatrics, Hanyang University College of Medicine, Seoul, Korea

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J.H.C. designed the study, drafted the initial manuscript, carried out the initial analyses. S.R. conceived and designed the study, collected and analyzed the data. M.P. reviewed the data analyses and drafted the initial manuscript. B.C.L. critically reviewed the data analyses and the manuscript. Y.J.K. critically reviewed the data analyses and the manuscript. J.-H.M. designed the study, critically reviewed and revised the manuscript.

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Correspondence to Jin-Hwa Moon .

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Cha, J.H., Ryu, S., Park, M. et al. Developmental screening of neurodevelopmental disorders before age 6: a nationwide health screening program. Pediatr Res (2024). https://doi.org/10.1038/s41390-024-03516-6

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DOI : https://doi.org/10.1038/s41390-024-03516-6

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