Evidence map›Paper›PMID 36140719›Full record

ReviewGenes2022

Autism and ADHD in the Era of Big Data; An Overview of Digital Resources for Patient, Genetic and Clinical Trials Information.

Faris M Abomelha, Hesham AlDhalaan, Mohammad Ghaziuddin, Nada A Al-Tassan, Bashayer R Al-Mubarak

Abstract readReview
In one paragraph

Review in Genes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Review of autism spectrum disorder databases for the identification of candidate genes.Database : the journal of biological databases and curation · 2025
    Review
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

5 authors.

Faris M AbomelhaKing Salman Center for Disability Research, P.O. Box 94682, Riyadh 11614, Saudi Arabia.
Hesham AlDhalaanKing Salman Center for Disability Research, P.O. Box 94682, Riyadh 11614, Saudi Arabia.ORCID 0000-0001-7288-8588
Mohammad GhaziuddinDepartment of Psychiatry, University of Michigan, Ann Arbor, MI 48109, USA.
Nada A Al-TassanKing Salman Center for Disability Research, P.O. Box 94682, Riyadh 11614, Saudi Arabia.
Bashayer R Al-MubarakKing Salman Center for Disability Research, P.O. Box 94682, Riyadh 11614, Saudi Arabia.ORCID 0000-0001-9716-3241

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Even in the era of information "prosperity" in the form of databases and registries that compile a wealth of data, information about ASD and ADHD remains scattered and disconnected. These data systems are powerful tools that can inform decision-making and policy creation, as well as advancing and disseminating knowledge. Here, we review three types of data systems (patient registries, clinical trial registries and genetic databases) that are concerned with ASD or ADHD and discuss their features, advantages and limitations. We noticed the lack of ethnic diversity in the data, as the majority of their content is curated from European and (to a lesser extent) Asian populations. Acutely aware of this knowledge gap, we introduce here the framework of the Neurodevelopmental Disorders Database (NDDB). This registry was designed to serve as a model for the national repository for collecting data from Saudi Arabia on neurodevelopmental disorders, particularly ASD and ADHD, across diverse domains.

Indexed as

Attention Deficit Disorder with HyperactivityAutism Spectrum DisorderAutistic DisorderNeurodevelopmental DisordersBig DataHumansADHDAutismclinical trialsdatabasegenetic variation databasepatient registry

Identifiers

PMID36140719
PMCPMC9498424

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.