DSM-5 criteria for autism spectrum disorder maximizes diagnostic sensitivity and specificity in preschool children
Open accessAbstract
Purpose The criteria for autism spectrum disorder (ASD) were revised in the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM). The objective of this study was to compare the sensitivity and specificity of DSM-IV-Text Revision (DSM-IV-TR) and DSM-5 definitions of ASD in a community-based sample of preschool children. Methods Children between 2 and 5 years of age were enrolled in the Study to Explore Early Development-Phase 2 (SEED2) and received a comprehensive developmental evaluation. The clinician(s) who evaluated the child completed two diagnostic checklists that indicated the presence and severity of DSM-IV-TR and DSM-5 criteria. Definitions for DSM-5 ASD, DSM-IV-TR autistic disorder, and DSM-IV-TR Pervasive Developmental Disorder Not Otherwise Specified (PDD-NOS) were created from the diagnostic checklists. Results 773 children met SEED2 criteria for ASD and 288 met criteria for another developmental disorder (DD). Agreement between DSM-5 and DSM-IV-TR definitions of ASD were good for autistic disorder (0.78) and moderate for PDD-NOS (0.57 and 0.59). Children who met DSM-IV-TR autistic disorder but not DSM-5 ASD (n = 71) were more likely to have mild ASD symptoms, or symptoms accounted for by another disorder. Children who met PDD-NOS but not DSM-5 ASD (n = 66), or vice versa (n = 120) were less likely to have intellectual disability and more likely to be female. Sensitivity and specificity were best balanced with DSM-5 ASD criteria (0.95 and 0.78, respectively). Conclusions The DSM-5 definition of ASD maximizes diagnostic sensitivity and specificity in the SEED2 sample. These findings support the DSM-5 conceptualization of ASD in preschool children.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
5 of 7 cited sources checked · 2 supported · 0 flagged · accuracy not yet measured
- Premisecitation
Kappa agreement between SEED2 final classification status and clinical judgment was 0.71.
“Moreover, kappa agreement between SEED2 final classification status and clinical judgment was 0.71, reflecting substantial agreement.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [29] Wiggins LD, Reynolds A, Rice C, Moody EJ, Bernal P, Blaskey L et al (2015) Using standardized diagnostic instruments to classify children with autism in the Study to Explore Early Development. J Aut Dev Disord 45:1271–1280 source
The Methods (Statistical Analyses) compare SEED ASD classification with clinical judgment using sensitivity and specificity, and the Results report those measures. Searches for “SEED2,” “kappa,” and “0.71” found no passage reporting the claimed kappa agreement; this paper’s discussion of SEED classification does not verify that SEED2 figure. Page numbers were not available in our copy. (LLM, conf=0.76)
Experimental — accuracy not yet measured
- Rests on an assumption: The ADOS and ADI-R scores are both sensitive and specific in detecting ASD when used in combination.
- Premisecitation
Previous SEED analyses showed that children termed 'DD with ASD symptoms' had a phenotypic profile more similar to children with ASD than to children with other developmental disorders.
“Previous SEED analyses have shown that children termed “DD with ASD symptoms” and used in these analyses have a phenotypic profile more similar to children with ASD than children with other DD [32].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [32] Wiggins LD, Levy SE, Daniels J, Schieve L, Croen LA, DiGuiseppi C et al (2015) Symptoms of autism spectrum disorder among children enrolled in the Study to Explore Early Development. J Aut Dev Disord 45:3183–3194 source
- Premisecitation
Among females and males with similar ASD traits, females with more behavior problems or intellectual disability, or both, are more likely to be recognized and diagnosed.
“Among females and males with similar ASD traits, females with more behavior problems or ID, or both, are more likely to be recognized and diagnosed [34, 35].”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [34] Dworzynski K, Ronald A, Bolton R, Happe F (2012) How different are girls and boys above and below the diagnostic threshold for autism spectrum disorders? J Am Acad Chil Adoles Psychiatry 51:788–797 source
The Discussion (page not supplied) reports that lower cognitive ability and/or additional behavior problems distinguished diagnosed from undiagnosed girls with similarly high ASD traits, but not boys. It suggests that girls may be missed in diagnosis, while also offering better adaptation as an alternative explanation; it does not establish that the additional problems make girls more likely to be recognized. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [35] Frazier TW, Georgiades S, Bishop SL, Hardan AY (2014) Behavioral and cognitive characteristics of females and males with autism in the Simons Simplex Collection. J Am Acad Chil Adoles Psychiatry 53:329–340 source
The Discussion (page not provided) reports lower cognitive ability and more externalizing problems among diagnosed females with ASD, and raises the possibility that higher-IQ females are underidentified. It does not establish that, among females and males with similar ASD traits, behavior problems or intellectual disability make females more likely to be recognized and diagnosed; underidentification is presented as a possibility. (LLM, conf=0.84)
Experimental — accuracy not yet measured
- Findingown data
The DSM-IV-TR autistic disorder and PDD-NOS(1) and PDD-NOS(2) definitions had an adequate balance of sensitivity and specificity.
“DSM-IV-TR definitions of autistic disorder and PDD-NOS(1) and PDD-NOS(2) had an adequate balance of sensitivity and specificity.”
Quote in the paperNot a substantial claim- Rests on an assumption: The ADOS and ADI-R scores are both sensitive and specific in detecting ASD when used in combination.
- Findingown data
Nine children met the DSM-5 ASD definition but not the DSM-IV-TR autistic disorder definition.
“Of note, there were 9 children who met DSM-5 ASD but not DSM-IV-TR autistic disorder, and 120 children who met DSM-5 ASD, but not PDD-NOS(1) or PDD-NOS(2).”
Quote in the paperNot a substantial claim- Rests on an assumption: The ADOS and ADI-R scores are both sensitive and specific in detecting ASD when used in combination.
- Findingown data
The DSM-5 ASD definition had a better balance of sensitivity and specificity against SEED2 classification than the DSM-IV-TR autistic disorder, PDD-NOS(1), or PDD-NOS(2) definitions.
“DSM-5 ASD had a better balance of sensitivity and specificity compared to the SEED2 classification than DSM-IV-TR autistic disorder, PDD-NOS(1), or PDD-NOS(2).”
Quote in the paperSubstantial claim- Rests on an assumption: The ADOS and ADI-R scores are both sensitive and specific in detecting ASD when used in combination.
- Findingown data
If only the presence of any social deficit had been required, specificity would have fallen to 0.06 for PDD-NOS(1) and 0.16 for PDD-NOS(2).
“If only presence of any of the social deficits were required, in addition to presence of any of the communication or behavioral deficits, specificity would have dropped from 0.75 to 0.06 for PDD-NOS(1) and 0.78 to 0.16 for PDD-NOS(2) (data not shown).”
Quote in the paperSubstantial claim- Rests on an assumption: The ADOS and ADI-R scores are both sensitive and specific in detecting ASD when used in combination.
- Findingown data
One hundred twenty children met the DSM-5 ASD definition but neither PDD-NOS(1) nor PDD-NOS(2).
“Of note, there were 9 children who met DSM-5 ASD but not DSM-IV-TR autistic disorder, and 120 children who met DSM-5 ASD, but not PDD-NOS(1) or PDD-NOS(2).”
Quote in the paperNot a substantial claim- Rests on an assumption: The ADOS and ADI-R scores are both sensitive and specific in detecting ASD when used in combination.
- Findingown data
Agreement between the DSM-5 ASD definition and the two DSM-IV-TR PDD-NOS definitions was moderate, with kappa values of 0.57 and 0.59.
“Agreement between DSM-5 ASD and DSM-IV-TR PDD-NOS(1) and PDD-NOS(2) was moderate [κ = 0.57 (95% CI 0.54–0.60) and κ = 0.59 (95% CI 0.56–0.62), respectively].”
Quote in the paperNot a substantial claim- Rests on an assumption: The ADOS and ADI-R scores are both sensitive and specific in detecting ASD when used in combination.
- Findingown data
Agreement between the DSM-5 ASD and DSM-IV-TR autistic disorder definitions was substantial, with kappa = 0.78.
“There was substantial agreement between DSM-5 ASD and DSM-IV-TR autistic disorder [κ = 0.78 (95% CI 0.73–0.82)].”
Quote in the paperNot a substantial claim- Rests on an assumption: The ADOS and ADI-R scores are both sensitive and specific in detecting ASD when used in combination.
- Findingown data
Sixty-six children met a DSM-IV-TR PDD-NOS definition but not the DSM-5 ASD definition.
“There were 71 children who met DSM-IV-TR autistic disorder but not DSM-5 ASD and 66 children who met DSM-IV-TR PDD-NOS(1) or DSM-IV-TR PDD-NOS(2) but not DSM-5 ASD.”
Quote in the paperNot a substantial claim- Rests on an assumption: The ADOS and ADI-R scores are both sensitive and specific in detecting ASD when used in combination.
- Findingreasoning
Diagnostic specificity for PDD-NOS(1) and PDD-NOS(2) was higher in this study than in previous reports.
“In fact, diagnostic specificity for PDD-NOS(1) and PDD-NOS(2) was higher in these analyses than previous reports.”
Quote in the paperSubstantial claim- Rests on an assumption: The ADOS and ADI-R scores are both sensitive and specific in detecting ASD when used in combination.
- Findingown data
Children who met the DSM-IV-TR autistic disorder definition but not the DSM-5 ASD definition were more likely to have mild ASD symptoms or symptoms better explained by another disorder.
“Children who met DSM-IV-TR autistic disorder but not DSM-5 ASD (n = 71) were more likely to have mild ASD symptoms, or symptoms accounted for by another disorder.”
Quote in the paperSubstantial claim- Rests on an assumption: The ADOS and ADI-R scores are both sensitive and specific in detecting ASD when used in combination.
- Findingown data
Seventy-one children met the DSM-IV-TR autistic disorder definition but not the DSM-5 ASD definition.
“There were 71 children who met DSM-IV-TR autistic disorder but not DSM-5 ASD and 66 children who met DSM-IV-TR PDD-NOS(1) or DSM-IV-TR PDD-NOS(2) but not DSM-5 ASD.”
Quote in the paperSubstantial claim- Rests on an assumption: The ADOS and ADI-R scores are both sensitive and specific in detecting ASD when used in combination.
- Interpretationown data
In the SEED2 sample, the DSM-5 ASD definition achieved the best combined sensitivity and specificity.
“The DSM-5 definition of ASD maximizes diagnostic sensitivity and specificity in the SEED2 sample.”
Quote in the paperSubstantial claim- Rests on an assumption: The ADOS and ADI-R scores are both sensitive and specific in detecting ASD when used in combination.
- Interpretationown data
The study findings support the DSM-5 conceptualization of ASD in preschool children.
“These findings support the DSM-5 conceptualization of ASD in preschool children.”
Quote in the paperSubstantial claim- Rests on an assumption: The ADOS and ADI-R scores are both sensitive and specific in detecting ASD when used in combination.
- Study design and conductreasoning
Information from the ADOS and ADI-R was used in the diagnostic checklist, so the SEED final classification and the DSM definitions were not completely independent.
“Second, information collected during the child observation (ADOS) and parent interview (ADI-R) were considered in the diagnostic checklist, so the SEED final classification criteria and DSM definitions were not completely independent of one another.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Estimates of specificity may have been reduced because only children with some social and communication difficulties were included in the sample.
“For instance, estimates of specificity (i.e., the number of true negatives) may have been reduced because only children with some social and communication difficulties—rather than children from the general population—were included the sample.”
Quote in the paperNot a substantial claim- Rests on an assumption: The ADOS and ADI-R scores are both sensitive and specific in detecting ASD when used in combination.
- Classified as probably not a substantial claim. 11
- May combine two claims. 14
- The quote only partly states this claim. 1
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationPrevious analyses found that the SEED final classification criteria had a good balance of sensitivity and specificity compared with clinical judgment of ASD versus another developmental disorder.
“Previous analyses found that SEED final classification criteria had a good balance of sensitivity and specificity when compared to clinical judgment of whether the child had ASD or another DD, and support the use of these instruments when defining ASD case status in SEED [29].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [29] Wiggins LD, Reynolds A, Rice C, Moody EJ, Bernal P, Blaskey L et al (2015) Using standardized diagnostic instruments to classify children with autism in the Study to Explore Early Development. J Aut Dev Disord 45:1271–1280 source
- Rests on an assumption: The ADOS and ADI-R scores are both sensitive and specific in detecting ASD when used in combination.
May combine two claims.
Findingown dataFemales who met the DSM-IV-TR autistic disorder definition were as likely as males to meet the DSM-5 ASD definition, but females were more likely than males to shift between a DSM-IV-TR PDD-NOS definition and the DSM-5 ASD definition.
“Results of this study add to this dialogue by providing evidence that females who meet DSM-IV-TR autistic disorder are as likely as males to meet DSM-5 ASD; however, they are more likely than males to shift between DSM-IV-TR PDD-NOS and DSM-5 ASD.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAmong the 1061 children with ASD or DD with ASD symptoms, 802 met the DSM-5 ASD definition, 864 met the DSM-IV-TR autistic disorder definition, 744 met PDD-NOS(1), and 736 met PDD-NOS(2).
“Of the 1061 ASD and DD with ASD symptoms children in the sample, 802 met DSM-5 ASD, 864 met DSM-IV-TR autistic disorder, 744 met PDD-NOS(1) and 736 met PDD-NOS(2).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn the SEED2 sample, 773 children satisfied the study's ASD criteria and 288 satisfied criteria for a different developmental disorder after comprehensive evaluation.
“773 children met SEED2 criteria for ASD and 288 met criteria for another developmental disorder (DD).”
- Also stated in: § Results · plain
“A total of 773 children met SEED2 criteria for ASD and 288 met criteria for another DD after a comprehensive evaluation.”
Quote in the paperNot a substantial claim- Also stated in: § Results · plain
May combine two claims.
Findingown dataChildren who met the DSM-5 ASD definition but not PDD-NOS(1) or PDD-NOS(2) were less likely to have intellectual disability, more likely to be female, and more likely to have mild ASD symptoms.
“Children who met DSM-5 ASD but not PDD-NOS(1) or PDD-NOS(2) were less likely to have intellectual disability (χ2 = 28.1, p < 0.01) and more likely to be female (χ2 = 8.5, p = 0.01) and have mild ASD symptoms (χ2 = 65.4, p < 0.01).”
Quote in the paperNot a substantial claim- Rests on an assumption: The ADOS and ADI-R scores are both sensitive and specific in detecting ASD when used in combination.
May combine two claims. The quote only partly states this claim.
Findingown dataThe sensitivity and specificity of the DSM-5 ASD definition were 0.95 and 0.78, respectively.
“Sensitivity and specificity were best balanced with DSM-5 ASD criteria (0.95 and 0.78, respectively).”
Quote in the paperSubstantial claim- Rests on an assumption: The ADOS and ADI-R scores are both sensitive and specific in detecting ASD when used in combination.
May combine two claims.
Findingown dataChildren who met a PDD-NOS definition but not the DSM-5 ASD definition, or the reverse, were less likely to have intellectual disability and more likely to be female.
“Children who met PDD-NOS but not DSM-5 ASD (n = 66), or vice versa (n = 120) were less likely to have intellectual disability and more likely to be female.”
Quote in the paperNot a substantial claim- Rests on an assumption: The ADOS and ADI-R scores are both sensitive and specific in detecting ASD when used in combination.
May combine two claims.
InterpretationreasoningHigher-functioning females and females without intellectual disability may be missed by current diagnostic systems.
“These results imply that higher-functioning females and those without ID may be missed by current diagnostic systems.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe ADOS and ADI-R are considered gold-standard instruments for distinguishing ASD from other developmental disorders.
“The ADOS and ADI-R are considered gold-standard diagnostic instruments used to differentiate children with ASD from children with other DD [25].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [25] Gray K, Tonge B, Sweeney D (2008) Using the autism diagnostic interview-revised and the autism diagnostic observation schedule with young children with developmental delay: evaluating diagnostic validity. J Aut Dev Disord 38:657–667 source
Classified as probably not a substantial claim. May combine two claims.
Study design and conductown dataClinicians who administered the ADOS and ADI-R had at least a Master's degree and were monitored for administration fidelity and coding reliability.
“Clinicians who administered the ADOS and ADI-R had at least a Master’s degree in psychology or related field and were deemed field ready once they established administration fidelity and research reliability with a supervising clinician at their site. These clinicians were monitored by the supervising clinician for administration fidelity at least once per year and for coding reliability at least”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataThe closest definition of Social Communication Disorder in this study is PDD-NOS(1), which had an adequate balance of sensitivity and specificity for ASD classification.
“The closest definition of SCD in this study is PDD-NOS(1), which had an adequate balance of sensitivity and specificity for ASD classification.”
Quote in the paperNot a substantial claim- Rests on an assumption: The ADOS and ADI-R scores are both sensitive and specific in detecting ASD when used in combination.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataFirst-pass coding reliability for field clinicians was 92% for the ADOS and 97% for the ADI-R.
“First-pass coding reliability for field clinicians was 92% for the ADOS and 97% for the ADI-R.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductnone givenThe sample was limited to children aged 2 to 5 years who completed a comprehensive evaluation because of ASD risk noted on the SCQ.
“Fourth, the sample was limited to children 2–5 years of age who competed a comprehensive evaluation because of ASD risk noted on the SCQ.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing). May combine two claims.
InterpretationreasoningThe process of using ADOS and ADI-R information in the diagnostic checklist reflects clinical practice and may generalize to real-world clinic settings.
“Nonetheless, this process reflects clinical practice and, therefore, may generalize to real-world clinic settings.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe study findings are strikingly similar to an analysis of 439 children and adolescents in the Autism Treatment Network.
“These findings are strikingly similar to an analysis of 439 children and adolescents enrolled in the Autism Treatment Network [30].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [30] Mazurek MO, Lu F, Symecko H, Butter E, Bing NM, Hundley RJ et al (2017) A prospective study of the concordance of DSM-IV and DSM-5 diagnostic criteria of autism spectrum disorder. J Aut Dev Disord 47:2783–2794 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataSupervising clinicians had a doctorate, established research reliability with certified trainers, were monitored for fidelity and reliability, and had first-pass coding reliability of 92% for the ADOS and 97% for the ADI-R.
“Supervising clinicians had a doctorate degree in psychology, medicine, or related field and established research reliability with a certified ADOS and ADI-R trainer.”
- Also stated in: § Data collection procedures · plain
“First-pass coding reliability for supervising clinicians also was 92% for the ADOS and 97% for the ADI-R.”
Quote in the paperNot a substantial claim- Also stated in: § Data collection procedures · plain
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenSEED2 did not systematically collect criteria for Social Communication Disorder.
“Third, SEED2 did not systematically collect criteria for Social Communication Disorder (SCD), which was introduced in DSM-5 and thought to capture some children formerly defined as PDD-NOS.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenThe sample was large and was ascertained from clinic and non-clinic sources in multiple geographic areas across the United States.
“The sample was large and ascertained from clinic and non-clinic sources in multiple geographic areas throughout the United States.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningThe results are best generalized to samples with a similar age and developmental profile and may differ in younger or older children or those with few social and communication concerns.
“In sum, these results are best generalized to samples with a similar age and developmental profile and may look different in sample of younger or older children or those with few social and communication concerns.”
Quote in the paperSubstantial claim- Rests on an assumption: The ADOS and ADI-R scores are both sensitive and specific in detecting ASD when used in combination.
The paper relies on this without support.
No prior study has examined concurrent coding of DSM-IV-TR and DSM-5 criteria by a clinician evaluating preschool children at the age when symptoms are first recognized.
“To our knowledge, no study has examined concurrent coding of DSM-IV-TR and DSM-5 criteria for ASD by a clinician who evaluated the child at a developmental period when symptoms may be first recognized by a parent or healthcare professional.”
The paper relies on this without support.
The ADOS and ADI-R scores are both sensitive and specific in detecting ASD when used in combination.
“However, scores from the ADI-R and ADOS are both sensitive and specific in detecting children with ASD when used in combination, and offer several advantages to classify children with ASD in large epidemiologic studies.”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
PDD-NOS(3) appears in the analysis plan but is never defined
MinorThe statistical methods list PDD-NOS(3) among the definitions assessed, but the definitions section says only two PDD-NOS definitions were created. The reported results also discuss only PDD-NOS(1) and PDD-NOS(2).
“Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were assessed for the following ASD definitions compared to SEED2 final classification criteria as the gold-standard: DSM-5 ASD and DSM-IV-TR autistic disorder, PDD-NOS(1), PDD-NOS(2), and PDD-NOS(3).”
“Two definitions of PDD-NOS were created for this analysis as indicated in the DSM-IV-TR:”
Analysis lists an undefined third PDD-NOS definition
MinorThe methods say that two PDD-NOS definitions were created, but the statistical methods list PDD-NOS(3) among the definitions assessed. The text provides no definition for PDD-NOS(3).
“Two definitions of PDD-NOS were created for this analysis as indicated in the DSM-IV-TR:”
“Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were assessed for the following ASD definitions compared to SEED2 final classification criteria as the gold-standard: DSM-5 ASD and DSM-IV-TR autistic disorder, PDD-NOS(1), PDD-NOS(2), and PDD-NOS(3).”
Cites
Diagnostic and Statistical Manual of Mental Disorders
American Psychiatric Association (2013) · doi:10.1176/appi.books.9780890425596 · Cited by 116,369 · see citing works
Diagnostic and Statistical Manual of Mental Disorders
Williams, J. B. W., & First, M. B. (2013) · Oxford University Press eBooks · doi:10.1093/acrefore/9780199975839.013.104 · Cited by 109,841 · see citing works
Diagnostic and Statistical Manual of Mental Disorders
(2012) · Springer eBooks · doi:10.1007/springerreference_121117 · Cited by 20,769 · see citing works
Lord, C., Rutter, M., & Le Couteur, A. (1994) · Journal of Autism and Developmental Disorders · doi:10.1007/bf02172145 · Cited by 9,065 · see citing works
Mullen Scales of Early Learning
Bradley‐Johnson, S. (1997) · Psychology in the Schools · doi:10.1002/(sici)1520-6807(199710)34:4 · Cited by 2,329 · see citing works
Identification and Evaluation of Children With Autism Spectrum Disorders
Johnson, C. P., Myers, S. M., & and the Council on Children With Disabilities (2007) · Pediatrics · doi:10.1542/peds.2007-2361 · Cited by 2,011 · see citing works
Vineland Adaptive Behavior Scales
Sparrow, S. S. (2010) · Springer eBooks · doi:10.1007/978-0-387-79948-3_1602 · Cited by 1,974 · see citing works
Autism Diagnostic Observation Schedule
Lord, C., Rutter, M. L., Goode, S., Heemsbergen, J., Jordan, H., Mawhood, L., & Schopler, E. (1989) · PsycTESTS Dataset · doi:10.1037/t54175-000 · Cited by 1,693 · see citing works
Autistic Traits in the General Population: A Twin Study
Constantino, J. N., & Todd, R. D. (2003) · Archives of General Psychiatry · doi:10.1001/archpsyc.60.5.524 · Cited by 1,317 · see citing works
Costs of Autism Spectrum Disorders in the United Kingdom and the United States
Buescher, A. V. S., Cidav, Z., Knapp, M., & Mandell, D. S. (2014) · JAMA Pediatrics · doi:10.1001/jamapediatrics.2014.210 · Cited by 1,296 · see citing works
The Autism Diagnostic Observation Schedule: Revised Algorithms for Improved Diagnostic Validity
Gotham, K., Risi, S., Pickles, A., & Lord, C. (2007) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-006-0280-1 · Cited by 1,161 · see citing works
Constantino, J. N. (2013) · Encyclopedia of Autism Spectrum Disorders · doi:10.1007/978-1-4419-1698-3_296 · Cited by 908 · see citing works
Social Communication Questionnaire
Snow, A. V. (2013) · Springer eBooks · doi:10.1007/978-1-4419-1698-3_1651 · Cited by 880 · see citing works
Autism Diagnostic Observation Schedule
Kim, S. H., & Lord, C. (2017) · Springer eBooks · doi:10.1007/978-3-319-56782-2_1520-2 · Cited by 782 · see citing works
Dworzynski, K., Ronald, A., Bolton, P., & Happé, F. (2012) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2012.05.018 · Cited by 633 · see citing works
Vineland Adaptive Behavior Scales
Burger-Caplan, R., Saulnier, C. A., & Sparrow, S. S. (2017) · Springer eBooks · doi:10.1007/978-3-319-56782-2_1602-4 · Cited by 598 · see citing works
Achenbach, T. M. (2000) · American Psychological Association eBooks · doi:10.1037/10517-028 · Cited by 566 · see citing works
Early Identification of Autism Spectrum Disorder: Recommendations for Practice and Research
Zwaigenbaum, L., Bauman, M. L., Stone, W. L., Yirmiya, N., Estes, A. M., Hansen, R. L., McPartland, J. C., Natowicz, M. R., Choueiri, R., FEIN, D. A., et al. (2015) · PEDIATRICS · doi:10.1542/peds.2014-3667c · Cited by 512 · see citing works
Levy, S. E., Giarelli, E., Lee, L.-C., Schieve, L. A., Kirby, R. S., Cunniff, C., Nicholas, J., Reaven, J., & Rice, C. E. (2010) · Journal of Developmental & Behavioral Pediatrics · doi:10.1097/dbp.0b013e3181d5d03b · Cited by 504 · see citing works
Self-citationAutism Diagnostic Observation Schedule--Generic
Lord, C., Rutter, M. L., DiLavore, P. C., & Risi, S. (1999) · PsycTESTS Dataset · doi:10.1037/t17256-000 · Cited by 487 · see citing works
Corsello, C. M. (2005) · Infants & Young Children · doi:10.1097/00001163-200504000-00002 · Cited by 452 · see citing works
Frazier, T. W., Georgiades, S., Bishop, S. L., & Hardan, A. Y. (2014) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2013.12.004 · Cited by 409 · see citing works
Mattila, M.-L., Kielinen, M., Linna, S.-L., Jussila, K., Ebeling, H., Bloigu, R., Joseph, R. M., & Moilanen, I. (2011) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2011.04.001 · Cited by 373 · see citing works
Achenbach, T. M. (2010) · Springer eBooks · doi:10.1007/978-0-387-79948-3_1529 · Cited by 333 · see citing works
Potential Impact of<i>DSM-5</i>Criteria on Autism Spectrum Disorder Prevalence Estimates
Maenner, M. J., Rice, C. E., Arneson, C. L., Cunniff, C., Schieve, L. A., Carpenter, L. A., Van Naarden Braun, K., Kirby, R. S., Bakian, A. V., & Durkin, M. S. (2014) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2013.3893 · Cited by 292 · see citing works
Self-citationInfants and Toddlers With Autism Spectrum Disorder: Early Identification and Early Intervention
Boyd, B. A., Odom, S. L., Humphreys, B. P., & Sam, A. M. (2010) · Journal of Early Intervention · doi:10.1177/1053815110362690 · Cited by 272 · see citing works
Review of gender differences in core symptomatology in autism spectrum disorders
Rivet, T. T., & Matson, J. L. (2011) · Research in Autism Spectrum Disorders · doi:10.1016/j.rasd.2010.12.003 · Cited by 258 · see citing works
Schendel, D. E., DiGuiseppi, C., Croen, L. A., Fallin, M. D., Reed, P. L., Schieve, L. A., Wiggins, L. D., Daniels, J., Grether, J., Levy, S. E., et al. (2012) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-012-1461-8 · Cited by 154 · see citing works
Self-citationWiggins, L. D., Reynolds, A., Rice, C. E., Moody, E. J., Bernal, P., Blaskey, L., Rosenberg, S. A., Lee, L.-C., & Levy, S. E. (2015) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-014-2287-3 · Cited by 145 · cited 1× · see citing works
“Previous analyses found that SEED final classification criteria had a good balance of sensitivity and specificity when compared to clinical judgment of whether the child had ASD or another DD, and support the use of these instruments when defining ASD case status in SEED [29].”
Self-citationThe <i>DSM-IV Text Revision:</i> Rationale and Potential Impact on Clinical Practice
First, M. B., & Pincus, H. A. (2002) · Psychiatric Services · doi:10.1176/appi.ps.53.3.288 · Cited by 134 · see citing works
Gray, K. M., Tonge, B. J., & Sweeney, D. J. (2008) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-007-0432-y · Cited by 120 · see citing works
Commentary from the DSM-5 Workgroup on Neurodevelopmental Disorders
Swedo, S. E., Baird, G., Cook, E. H., Happé, F. G., Harris, J. C., Kaufmann, W. E., King, B. H., Lord, C. E., Piven, J., Rogers, S. J., et al. (2012) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2012.02.013 · Cited by 70 · see citing works
Wiggins, L. D., Levy, S. E., Daniels, J., Schieve, L., Croen, L. A., DiGuiseppi, C., Blaskey, L., Giarelli, E., Lee, L.-C., Pinto-Martin, J., et al. (2015) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-015-2476-8 · Cited by 57 · see citing works
Self-citationDiGuiseppi, C. G., Daniels, J. L., Fallin, D. M., Rosenberg, S. A., Schieve, L. A., Thomas, K. C., Windham, G. C., Goss, C. W., Soke, G. N., Currie, D. W., et al. (2016) · Disability and Health Journal · doi:10.1016/j.dhjo.2016.01.005 · Cited by 54 · see citing works
Self-citationMazurek, M. O., Lu, F., Symecko, H., Butter, E., Bing, N. M., Hundley, R. J., Poulsen, M., Kanne, S. M., Macklin, E. A., & Handen, B. L. (2017) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-017-3200-7 · Cited by 49 · see citing works
Parent perceptions of autism severity: Exploring the social ecological context
Hock, R., & Ahmedani, B. K. (2012) · Disability and Health Journal · doi:10.1016/j.dhjo.2012.06.002 · Cited by 42 · see citing works
Autism Severity as a Predictor of Comorbid Conditions
Jang, J., & Matson, J. L. (2015) · Journal of Developmental and Physical Disabilities · doi:10.1007/s10882-015-9421-9 · Cited by 39 · see citing works
Impact of DSM-5 on epidemiology of Autism Spectrum Disorder
Tsai, L. Y. (2014) · Research in Autism Spectrum Disorders · doi:10.1016/j.rasd.2014.07.016 · Cited by 39 · see citing works
Volkmar, F. R., Shaffer, D., & First, M. (2000) · PubMed · Cited by 14 · see citing works
Zhang, Z., & Zhang, Z. (2015) · World Academy of Science, Engineering and Technology, International Journal of Psychological and Behavioral Sciences · Cited by 8 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Identification, Evaluation, and Management of Children With Autism Spectrum Disorder
Hyman, S. L., Levy, S. E., Myers, S. M., COUNCIL ON CHILDREN WITH DISABILITIES, S. O. D. A. B. P., Kuo, D. Z., Apkon, S., Davidson, L. F., Ellerbeck, K. A., Foster, J. E. A., Noritz, G. H., et al. (2020) · Pediatrics · doi:10.1542/peds.2019-3447 · Cited by 1,548 · see citing works
Self-citationAutism spectrum heterogeneity: fact or artifact?
Mottron, L., & Bzdok, D. (2020) · Molecular Psychiatry · doi:10.1038/s41380-020-0748-y · Cited by 332 · see citing works
Liang, X., Li, R., Wong, S. H., Sum, R. K. W., Wang, P., Yang, B., & Sit, C. H. P. (2021) · Sports Medicine · doi:10.1007/s40279-021-01545-3 · Cited by 187 · see citing works
Liang, X., Li, R., Wong, S. H., Sum, R. K. W., & Sit, C. H. P. (2021) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-021-01135-6 · Cited by 171 · see citing works
Functional analysis of problem behavior: A 40-year review.
Melanson, I. J., & Fahmie, T. A. (2023) · Journal of Applied Behavior Analysis · doi:10.1002/jaba.983 · Cited by 119 · see citing works
Protective role of IGF-1 and GLP-1 signaling activation in neurological dysfunctions
Bhalla, S., Mehan, S., Khan, A., & Rehman, M. U. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.104896 · Cited by 108 · see citing works
Roussin, L., Prince, N., Perez‐Pardo, P., Kraneveld, A. D., Rabot, S., & Naudon, L. (2020) · Microorganisms · doi:10.3390/microorganisms8091369 · Cited by 64 · see citing works
A Revolutionizing Approach to Autism Spectrum Disorder Using the Microbiome
Johnson, D., Letchumanan, V., Thurairajasingam, S., & Lee, L. (2020) · Nutrients · doi:10.3390/nu12071983 · Cited by 64 · see citing works
Self-citationKohli, M., Kar, A. K., Bangalore, A., & Prathosh, A. P. (2022) · Brain Informatics · doi:10.1186/s40708-022-00164-6 · Cited by 53 · see citing works
Liang, X., Haegele, J. A., Tse, A. C. Y., Li, M., Zhang, H., Zhao, S., & Li, S. X. (2024) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2024.101913 · Cited by 58 · see citing works
Yu, Y., Huang, J.-Y., Chen, X., Fu, J., Wang, X., Pu, L., Gu, C., & Cai, C. (2022) · Frontiers in Neurology · doi:10.3389/fneur.2022.844117 · Cited by 47 · see citing works
The Gut–Brain–Microbiota Connection and Its Role in Autism Spectrum Disorders
Młynarska, E., Barszcz, E., Budny, E., Gajewska, A., Kopeć, K., Wasiak, J., Rysz, J., & Franczyk, B. (2025) · Nutrients · doi:10.3390/nu17071135 · Cited by 44 · see citing works
Psychiatric Neural Networks and Precision Therapeutics by Machine Learning
Komatsu, H., Watanabe, E., & Fukuchi, M. (2021) · Biomedicines · doi:10.3390/biomedicines9040403 · Cited by 37 · see citing works
Harshman, S. G., Jo, J. H., Kuhnle, M. C., Hauser, K., Murray, H. B., Becker, K. R., Misra, M., Eddy, K. T., Micali, N., Lawson, E. A., et al. (2021) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.20m13831 · Cited by 35 · see citing works
Olakkaran, S., Anupama, K. P., Antony, A., & Gurushankara, H. P. (2021) · Molecular Neurobiology · doi:10.1007/s12035-021-02546-z · Cited by 36 · see citing works
Dubourdieu, P. M., & Guerendiain, M. (2022) · Nutrients · doi:10.3390/nu14102155 · Cited by 28 · see citing works
Almutairi, M. M., Nadeem, A., Ansari, M. A., Bakheet, S. A., Attia, S. M., Albekairi, T. H., Alhosaini, K. A., Algahtani, M., Alsaad, A. M. S., Al‐Mazroua, H. A., et al. (2022) · NeuroToxicology · doi:10.1016/j.neuro.2022.06.007 · Cited by 26 · see citing works
Raditha, C., Handryastuti, S., Pusponegoro, H. D., & Mangunatmadja, I. (2022) · Pediatric Research · doi:10.1038/s41390-022-02277-4 · Cited by 22 · see citing works
Alrehaili, R. A., Elkady, R. M., Alrehaili, J. A., & Alreefi, R. (2023) · Cureus · doi:10.7759/cureus.50111 · Cited by 22 · see citing works
Katz, L., Nayar, K., Garagozzo, A., Schieszler-Ockrassa, C., & Paxton, J. L. (2019) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-019-04233-4 · Cited by 17 · see citing works
Decoding the genetic landscape of autism: A comprehensive review
Al‐Beltagi, M., Saeed, N. K., Bediwy, A. S., Bediwy, E. A., & Elbeltagi, R. M. (2024) · World Journal of Clinical Pediatrics · doi:10.5409/wjcp.v13.i3.98468 · Cited by 18 · see citing works
Chen, M., Huang, C.-F., Lin, Y.-S., Chiu, Y., Gau, S. S., & Wu, Y.-Y. (2023) · Research in Autism · doi:10.1016/j.rasd.2023.102184 · Cited by 16 · see citing works
Dubourdieu, P. M., & Guerendiain, M. (2023) · Frontiers in Nutrition · doi:10.3389/fnut.2023.1202948 · Cited by 17 · see citing works
Dastamooz, S., Tham, C. C. Y., Yam, J. C. S., Li, M., Wong, S. H., & Sit, C. H. P. (2023) · Scientific Reports · doi:10.1038/s41598-023-46206-9 · Cited by 14 · see citing works
Elnaiem, W., Benmelouka, A. Y., Elgendy, A. M. N., Abdelgalil, M. S., Alsaman, M. Z. B., Mogheeth, A., Ali, M. M. A., & Yousof, S. M. (2022) · Human Psychopharmacology Clinical and Experimental · doi:10.1002/hup.2841 · Cited by 15 · see citing works
Avlund, S. H., Thomsen, P. H., Schendel, D., Jørgensen, M., & Clausen, L. (2020) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-020-04555-8 · Cited by 15 · see citing works
Liu, H. L. V., Sun, F., Anderson, D. I., & Tse, A. C. Y. (2023) · Child Psychiatry & Human Development · doi:10.1007/s10578-023-01546-5 · Cited by 13 · see citing works
Lin, Y., Wang, G., Yang, Y., Jin, X., Huang, H., Zhang, Y., & Jin, Z. (2022) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-022-05603-1 · Cited by 13 · see citing works
Davidovitch, M., Shmueli, D., Rotem, R. S., & Mimouni-Bloch, A. (2021) · BMC Psychiatry · doi:10.1186/s12888-021-03151-z · Cited by 12 · see citing works
Nonclinical Factors in Autism Diagnosis: Results From a National Health Care Provider Survey
Azim, A., Rdesinski, R. E., Phelps, R. A., & Zuckerman, K. E. (2020) · Journal of Developmental & Behavioral Pediatrics · doi:10.1097/dbp.0000000000000797 · Cited by 10 · see citing works
Inborn Errors of Metabolism Associated With Autism Among Children: A Multicenter Study from Iran
Moravej, H., Inaloo, S., Nahid, S., abrazgah, S. M., Nemati, H., Moosavian, T., Nasiri, J., Ghasemi, F., Alaei, M. R., Dalili, S., et al. (2023) · Indian Pediatrics · doi:10.1007/s13312-023-2833-1 · Cited by 9 · see citing works
The Dangers of Acetaminophen for Neurodevelopment Outweigh Scant Evidence for Long-Term Benefits
Parker, W., Anderson, L. G., Jones, J. P., Anderson, R., Williamson, L. L., Bono‐Lunn, D., & Konsoula, Z. (2023) · Children · doi:10.3390/children11010044 · Cited by 15 · see citing works
Trinh, N. B., Phan, N. D. T., Bui, A. T., Phan, H. T., Nguyen, L. T. T., Nguyen, L. H. T., Khánh, Đ. N., & Dang, A. K. (2023) · Nutrition and Health · doi:10.1177/02601060231152278 · Cited by 9 · see citing works
The role of machine learning in autism spectrum disorder assessment and management
Reilly, A., Walsh, N., O’Reilly, D. P., Smyth, M., Gorman, K. M., Ostadabbas, S., & Power, C. (2025) · Pediatric Research · doi:10.1038/s41390-025-04566-0 · Cited by 11 · see citing works
Michalczyk, J., Miłosz, A., Gesek, M., & Fornal, A. (2024) · Medical Science Monitor · doi:10.12659/msm.945087 · Cited by 9 · see citing works
Panda, P. K., Sharawat, I. K., Gupta, D., Palayullakandi, A., Sopanam, S., & Saha, S. (2025) · Brain and Development · doi:10.1016/j.braindev.2025.104454 · Cited by 10 · see citing works
Muès, M., Schaubroeck, S., Demurie, E., & Roeyers, H. (2024) · Autism & Developmental Language Impairments · doi:10.1177/23969415241253554 · Cited by 15 · see citing works
Al-Masa’deh, M. M., Younis, N. A. H., Al-Zyoud, N., & Homidi, M. A. (2020) · Journal of Educational and Social Research · doi:10.36941/jesr-2020-0118 · Cited by 7 · see citing works
Samra, A. I., Kamel, A. S. E. D., Abdallah, D. M., Fattah, M. A. A. E., Ahmed, K. A., & El-Abhar, H. S. (2023) · Biomedicines · doi:10.3390/biomedicines11123156 · Cited by 6 · see citing works
Du, L., Ye, F., Gao, W., Yang, A., Luan, J., Xu, M., Lv, K., Hu, P., Liu, B., Yu, H., et al. (2024) · Cerebral Cortex · doi:10.1093/cercor/bhae081 · Cited by 7 · see citing works
Hamdan, F. B., Shareef, H., & Jasim, H. S. (2022) · Medical Journal of Babylon · doi:10.4103/mjbl.mjbl_88_21 · Cited by 8 · see citing works
Automatic Cry Analysis: Deep Learning for Screening of Autism Spectrum Disorder in Early Childhood
Laguna, A., Pusil, S. A., Paltrinieri, A. L., & Orlandi, S. (2025) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-025-06811-1 · Cited by 7 · see citing works
Wang, Y.-N., Lin, Q.-H., Meng, D., Wang, J., Xu, H.-P., Wei, W., & Zhang, J.-Y. (2024) · Asian Nursing Research · doi:10.1016/j.anr.2024.03.001 · Cited by 6 · see citing works
Mao, F., Liu, Z., Fang, Q., & Liu, Y. (2025) · BMC Psychiatry · doi:10.1186/s12888-025-07607-4 · Cited by 7 · see citing works
Zubizarreta, S. C.-P., Mosquera, M. L., Tubío-Fungueiriño, M., Alemany-Navarro, M., Hull, L., Carracedo, Á., Gándara-Gafo, B., & Fernández‐Prieto, M. (2025) · Autism in Adulthood · doi:10.1089/aut.2024.0003 · Cited by 5 · see citing works
Han, Y. L., Sulaiman, W. S. W., Badayai, A. R. A., & Nor, H. A. M. (2023) · Frontiers in Child and Adolescent Psychiatry · doi:10.3389/frcha.2023.1221933 · Cited by 6 · see citing works
Đurić-Zdravković, A., Japundža‐Milisavljević, M., & Perović, D. (2022) · Fortschritte der Neurologie · Psychiatrie · doi:10.1055/a-1743-2770 · Cited by 4 · see citing works
Pusil, S. A., Laguna, A., Vilca, B. N. C., Zegarra-Valdivia, J. A., & Orlandi, S. (2025) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-025-06757-4 · Cited by 4 · see citing works
Alterations in Epidermal Biophysical Properties in Autistic Children
Wang, B., Li, Y.-D., Wang, Z., Zhao, J.-Q., Zhang, G., & Man, M. (2023) · Skin Pharmacology and Physiology · doi:10.1159/000530140 · Cited by 4 · see citing works
Wang, X., Carroll, X. D. P., Zhang, P., du Prel, J., Wang, H., Xu, H., & Leeper-Woodford, S. K. (2022) · Autism Research · doi:10.1002/aur.2821 · Cited by 4 · see citing works
Chouari, R., Leftat, L., Arabi, F. E., & Bour, A. (2024) · Ecological Engineering & Environmental Technology · doi:10.12912/27197050/188057 · Cited by 3 · see citing works
Caregiver strain and its predictors among parents of autistic children: a cross-sectional study
Nighat, A., Ahmer, Z., Ovais, M., Athar, F. B., & Baig, L. A. (2022) · Journal of Child and Adolescent Mental Health · doi:10.2989/17280583.2023.2279637 · Cited by 5 · see citing works
Akter, R., Urme, N. A., Hossain, K. M. A., Hossain, T., Ahammad, S., Yeasmin, M. H., Hossain, M. Z., Parvin, R., Hossain, M. S., & Zahid, M. A. (2023) · PLoS ONE · doi:10.1371/journal.pone.0292326 · Cited by 3 · see citing works
Haque, M. S., Islam, M. M., Khan, A. H., Akter, N., & Hossain, K. M. A. (2025) · BMC Pediatrics · doi:10.1186/s12887-025-05832-0 · Cited by 4 · see citing works
Kohli, M., Juneja, M., Gupta, M., Kar, A. K., Sairam, S., Prakash, V. G., & Prathosh, A. P. (2025) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2025.108034 · Cited by 2 · see citing works
Kohli, M., Prathosh, A. P., Kar, A. K., et al. (2022) · Research Square · doi:10.21203/rs.3.rs-1580649/v1 · Cited by 2 · see citing works
Jun, K., Park, D., Eo, H., Woo, S., Koo, W. M., Kim, J., Lee, B. J., & Chang, M. C. (2024) · Neuropediatrics · doi:10.1055/a-2349-1256 · Cited by 1 · see citing works
SPECTRUM DISORDERS CURRENT KNOWLEDGE AUTISM WITH REFERENCE TO THE ROLE OF ANIMAL MODELS
Nagib, N. M., Elrakhawy, F. I., & El-Nefiawy, N. E. (2023) · Ain Shams Medical Journal · doi:10.21608/asmj.2023.307087 · Cited by 1 · see citing works
Selection of Young Animal Models of Autism over Adult: Benefits and Limitations
Paudel, R., & Singh, S. (2021) · Integrative Psychological and Behavioral Science · doi:10.1007/s12124-020-09595-4 · Cited by 1 · see citing works
Expanding Understanding of Autism Spectrum Disorder in Girls and Women: A New Paradigm
Bitensky, D., Clauss‐Ehlers, C. S., & Veksler, K. M. (2026) · Behavioral Sciences · doi:10.3390/bs16030396 · Cited by 1 · see citing works
Romaszko, M. Z., Ochal, M., & Januszko‐Giergielewicz, B. (2020) · Polish Annals of Medicine · doi:10.29089/2020.20.00142 · Cited by 1 · see citing works
Delahanty, M. T., Engel, S. M., Fallin, D., Garcia, T., Ladd‐Acosta, C., Steiner, A. Z., Wood, M. E., & Daniels, J. L. (2025) · Paediatric and Perinatal Epidemiology · doi:10.1111/ppe.70049 · Cited by 1 · see citing works
Peñalba, F., Guisande, A., Lamberti, L., Rusiñol, C., Irastorza, M., Konik, F., Iglesias, C., Dubourdieu, P. M., Garrido, G., Parada, A., et al. (2026) · Frontiers in Microbiomes · doi:10.3389/frmbi.2026.1777385 · Cited by 1 · see citing works
Rust-Overman, S., Hoying, J., Sinnott, L. T., Zeno, R., & Overcash, J. A. (2023) · Journal of Pediatric Health Care · doi:10.1016/j.pedhc.2023.09.004 · Cited by 1 · see citing works
Mosquera, M. L., Zubizarreta, S. C.-P., Tubío-Fungueiriño, M., Navarro, M. A., Hull, L., Álvarez, A. C., Gándara-Gafo, B., & Fernández‐Prieto, M. (2022) · Research Square · doi:10.21203/rs.3.rs-2048328/v1 · Cited by 1 · see citing works
Zhang, S., Liu, K., Shi, L., Yan, C., Wang, A., Liu, A. H., Guo, H., Xie, A., & Kong, X. (2026) · Nutrients · doi:10.3390/nu18111694
Roussin, L. (2023) · theses.fr (ABES) · doi:10.70675/998d3bd1z4618z400dz998cz89e524b35aef · Cited by 1 · see citing works
Yang, R., Zhang, F., & huang, J. (2025) · doi:10.2196/preprints.77158
A case of neurodivergence – the basics of autism spectrum disorder
Brand, S. J. (2023) · South African General Practitioner · doi:10.36303/sagp.0090
Quesada, J. A., Sánchez-Ferrer, F., & López‐Pineda, A. (2024) · Maternal and Child Health Journal · doi:10.1007/s10995-024-04007-0
Síndromes genéticas e a atuação fonoaudiológica
Maximino, L. P., Cavalheiro, M. G., & Corrêa, C. D. C. (2020) · Faculdade de Filosofia e Ciências eBooks · doi:10.36311/2020.978-65-86546-87-3.p165-184
A Closer Look at Supporting Elementary Students With Autism in School
Copeland, H. (2021) · IGI Global eBooks · doi:10.4018/978-1-6684-3670-7.ch026
Chen, X., Xu, H., Huang, Y., Zhang, P., Hu, L., Zhu, F., Liu, J., Xu, H., Gong, Z., & Lu, L. J. (2026) · Hearing Research · doi:10.1016/j.heares.2026.109654
Nguyen, T. B. N., Ngo, H. K. T., Dinh, G., et al. (2026) · Egyptian Pediatric Association Gazette · doi:10.1186/s43054-026-00615-3
Diagnóstico fonoaudiológico de crianças com transtorno do neurodesenvolvimento
Lamônica, D. A. C., & Ferreira‐Vasques, A. T. (2020) · Faculdade de Filosofia e Ciências eBooks · doi:10.36311/2020.978-65-86546-87-3.p207-222
Level 1 autism spectrum disorder as a risk factor for suicide in a child: case report
de Freitas, F. A. C., Caixeta, A. F. T., & Aleixo, M. A. (2024) · Debates em Psiquiatria · doi:10.25118/2763-9037.2024.v14.1193
Психодиагностика риска расстройств аутистического спектра у детей 3–4 лет
Наследов, А., Александрович, М. С., Tkacheva, L. O., Защиринская, О., & Семета, М. У. (2023) · doi:10.15862/01mnnpm23
Αντώνογλου, Μ., & Σοφός, Α. (2023) · Open Journal of Animation Film and Interactive Media in Education and Culture [AFIMinEC] · doi:10.12681/afiinmec.34267
Zhu, Z., Ding, X. P., & Tong, L. (2024) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-024-06589-8
Chalmers, K., Laurie, K., Suetani, S., Franklin, C., Scott, J. G., & Parker, S. (2026) · Australian & New Zealand Journal of Psychiatry · doi:10.1177/00048674261461986
ATENCIÓN TEMPRANA EN EL TRASTORNO DEL ESPECTRO AUTISTA: ESTADO DE LA CUESTIÓN Y DESAFÍOS PENDIENTES
Roig-Vila, R., & Solano, M. E. U. (2020) · Edetania: estudios y propuestas socio-educativas · doi:10.46583/edetania_2020.58.508
Al-Shaghnobi, S., Alodat, A. M., Jammaah, S. J. A., & Alrhmman, I. A. (2023) · International Engineering Conference on Electrical, Energy, and Artificial Intelligence (EICEEAI) · doi:10.1109/eiceeai60672.2023.10590258
Jankovskytė, L., & Aleknavičiūtė-Ablonskė, V. (2024) · Tiltai · doi:10.15181/tbb.v92i1.2625
インターロイキン -17Aによる大脳皮質内ミクログリア活性化と局在への影響 : IL-17A による大脳皮質構築異常とASD発現機構の理解を目指して
佐々木, 哲., ササキ, テ., Sasaki, T., 鮑, 培., 高田, 拓., 武井, 陽., タケイ, ヨ., Takei, Y., Bao, P., & Takada, T. (2020) · Institutional Repositories DataBase (IRDB) · doi:10.11249/jsbpjjpp.31.3_154
A Closer Look at Supporting Elementary Students With Autism in School
Copeland, H. (2019) · Advances in early childhood and K-12 education · doi:10.4018/978-1-7998-1431-3.ch006
Omiya, T., Sankai, T., Sato, W., Matsunaga, A., Nakano, K., Hara, Y., Iwamoto, M., & Mayers, T. (2026) · Psychiatry International · doi:10.3390/psychiatryint7010038
- Authors
- Wiggins, L. D., Rice, C. E., Barger, B., Soke, G. N., Lee, L.-C., Moody, E., Edmondson-Pretzel, R., & Levy, S. E.
- Affiliations
- Centers for Disease Control and Prevention (US)
- Emory University (US)
- Georgia State University (US)
- Johns Hopkins University (US)
- University of Colorado Anschutz (US)
- Children's Hospital of Philadelphia (US)
- Corresponding author
- Wiggins, Lisa D.
- Venue
- Social Psychiatry and Psychiatric Epidemiology
- Published
- 2019-03-08
- Volume
- 54
- Issue
- 6
- Pages
- 693-701
- ISSN
- 0933-7954 (ISSN-L)
- 1433-9285
- PMC
- PMC6713264
- OpenAlex
- W2921046787
- Cited by
- 95
- References
- 39
- Citations by year
- 2026: 11 · 2025: 11 · 2024: 13 · 2023: 20 · 2022: 15 · 2021: 11 · 2020: 11 · 2019: 3
- FWCI
- 5.81
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Social Psychiatry and Psychiatric Epidemiology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Centers for Disease Control and Prevention (U10DD000180, U10DD000181, U10DD000182, U10DD000183, U10DD000184, U10DD000498)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
- Health Sciences › Medicine › Psychiatry and Mental health › Child Nutrition and Feeding Issues
- Social Sciences › Psychology › Clinical Psychology › Child and Adolescent Psychosocial and Emotional Development
- Keywords
- autism spectrum disorder, DSM-5 diagnostic criteria, DSM-IV-TR, sensitivity and specificity, preschool children, autistic disorder, pervasive developmental disorder not otherwise specified, intellectual disability, sex differences
- MeSH terms
- Autism Spectrum Disorder, Child, Preschool, Female, Humans, Male, Intellectual Disability, Sensitivity and Specificity, Diagnostic and Statistical Manual of Mental Disorders, Checklist
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read under definition version 3 (extract-v3) on 2026-09-28.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-09-28.
Cited sources are checked by gpt-6-sol.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review