Evidence map›Paper›PMID 39819492›Full record

ReviewCNS spectrums2025

Rethinking psychometric testing in autism: overcoming the challenges of comorbidity and diagnostic overshadowing.

Nihit Gupta, Srinija Srinivasan, Mayank Gupta

Abstract readReview
In one paragraph

Review in CNS spectrums, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
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  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Nihit GuptaDepartment of Child and Adolescent Psychiatry, Dayton Children's Hospital, Dayton, OH, USA.ORCID 0000-0002-5091-9483
Srinija SrinivasanNorthwestern University, Chicago, IL, USA.
Mayank GuptaSouthwood Children Behavioral Health, Pittsburgh, PA, USA.ORCID 0000-0002-0521-1419

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epidemiological data indicates a rising prevalence of autism spectrum disorder (ASD) among eight-year-old children, with rates increasing from 1 in 44 to 1 in 36 between 2022 and 2023. This growing prevalence poses significant challenges in achieving accurate diagnoses, particularly due to comorbid conditions and diagnostic overshadowing. Certain subgroups-such as females with ASD, individuals with high cognitive abilities, and ethnic minorities-remain at heightened risk of underdiagnosis. Diagnostic tools like the Autism Diagnostic Observation Schedule (ADOS-2) have limitations, particularly in clinical settings where gender biases and cultural differences in symptom presentation can complicate accurate assessment. Moreover, rural areas face additional burdens due to limited access to care, further exacerbating diagnostic challenges. The review underscores the necessity for improved screening and diagnostic methods tailored to diverse populations, acknowledging the current limitations of existing tools. It also highlights significant barriers such as workforce shortages and lengthy wait times for evaluations. Emphasizing the importance of clinician education and targeted diagnostic approaches, the review calls for attention to cultural and gender differences in ASD evaluation.

Indexed as

Autism Spectrum DisorderPsychometricsChildComorbidityFemaleHumansMaleadosautismbarriers in carediagnosisdisparitymisdiagnosis

Identifiers

PMID39819492
PMCPMC13064699

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.