Evidence map›Paper›PMID 32767173›Full record

Observational studyJournal of autism and developmental disorders2021

Identification of Essential, Equivocal and Complex Autism by the Autism Dysmorphology Measure: An Observational Study.

Sharmila B Mukherjee, Neelam, Seema Kapoor, Suvasini Sharma

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Journal of autism and developmental disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 40% of its field
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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 2 institutions in 1 country.

Sharmila B MukherjeeDepartment of Pediatrics, Lady Hardinge Medical College and Associated Kalawati Saran Children's Hospital, New Delhi, India. theshormi@gmail.com.ORCID http://orcid.org/0000-0002-3184-464X
NeelamDepartment of Pediatrics, Lady Hardinge Medical College and Associated Kalawati Saran Children's Hospital, New Delhi, India.
Seema KapoorDepartment of Pediatrics, Maulana Azad Medical College and Associated Lok Nayak Hospital, New Delhi, India.
Suvasini SharmaDepartment of Pediatrics, Lady Hardinge Medical College and Associated Kalawati Saran Children's Hospital, New Delhi, India.
Lady Hardinge Medical College · INMaulana Azad Medical College · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Autism Dysmorphology Measure is designed for non-expert clinicians. It uses an algorithm to assess 12 body regions and categorizes Autism on the number of dysmorphic regions identified; Essential (≤ 3), Equivocal (4-5) or Complex (≥ 6). We evaluated 200 Indian children with Autism (mean age 3.7 years) in a hospital-based cross-sectional study and compared inter-group profiles. We found 31% Essential, 49% Equivocal and 20% Complex Autism. On comparing results with existing literature, it appeared that genetic ancestry and age significantly influenced dysmorphism and hence categorization. No significant differences were observed between complex and essential autism in epilepsy, severity of autism or development, as reported earlier. These shortcomings make the present tool unsuitable for use in young Indian children with Autism.

Indexed as

AlgorithmsAdaptation, PsychologicalAutism Spectrum DisorderChildChild, PreschoolCross-Sectional StudiesFemaleHumansMaleAutism spectrum disorderCongenital abnormalitiesDysmorphism

Identifiers

PMID32767173
OpenAlexW3048026428

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.