Evidence map›Paper›PMID 41282200›Full record

ArticleResearch square2025

Demographic and Genetic Predictors of ADHD Diagnoses and Medications in Electronic Health Records.

Olivia R Nicastro, Makayla Reed, Zeal Jinwala, Penn Medicine BioBank, Regeneron Genetics Center, Rachel L Kember, Emily E Hartwell

Abstract readPreprint
In one paragraph

Article in Research square, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Olivia R NicastroUniversity of Pennsylvania.
Makayla ReedUniversity of Pennsylvania.
Zeal JinwalaUniversity of Pennsylvania.
Penn Medicine BioBank
Regeneron Genetics Center
Rachel L KemberUniversity of Pennsylvania.
Emily E HartwellPhiladelphia VA Medical Center.

Funding

Phenotypic Diversity in COVID-19UL1TR001878 · NCATS · UNIVERSITY OF PENNSYLVANIA · PI FITZGERALD, GARRET A · 2016 to 2025
$102.4M
Characterizing the phenotypic spectrum associated with genetic liability for alcohol use disorderK01AA028292 · NIAAA · UNIVERSITY OF PENNSYLVANIA · PI KEMBER, RACHEL LORRAINE · 2021 to 2024
$505k
CSRD VA IK2 CX002336NCATS NIH HHS UL1 TR001878NIAAA NIH HHS K01 AA028292
6 · The paper itself

Abstract

Background: The rise in stimulant prescriptions, which are commonly prescribed for attention-deficit/hyperactivity disorder (ADHD), has raised concerns due to their high potential for abuse. Methods: This study utilized data from the Penn Medicine BioBank (PMBB) to investigate prescription stimulant use by identifying: (1) individuals with an International Classification of Diseases (ICD) code for ADHD, (2) individuals prescribed a stimulant, (3) individuals with both an ICD code for ADHD and a stimulant prescription, (4) individuals without an ICD code for ADHD but with a stimulant prescription, and (5) a control group. We assessed differences in demographics, medication type, and dosages amongst these groups. For participants with available genetic data, we calculated polygenic scores (PGS) for ADHD and used regression models to examine whether PGS for ADHD is associated with ADHD diagnosis and stimulant medication use. Results: Demographic differences between the five groups were identified. Individuals with an ADHD diagnosis were more likely to be younger, female, and White, compared to the control group. Individuals with ICD codes for ADHD were prescribed significantly higher average doses of stimulants compared to those without ADHD. PGS for ADHD was significantly associated with the likelihood of receiving an ADHD diagnosis, using a stimulant, using a stimulant in the absence of an ADHD diagnosis, and receiving a lower dosage of a stimulant. Conclusions: Findings from this research will contribute to discussions surrounding the role of genetic predisposition and demographic disparities in ADHD diagnosis and treatment.

Indexed as

Attention-deficit/hyperactivity disorderpolygenic scoresprescription misuseprescription stimulants

Identifiers

PMID41282200
PMCPMC12636742

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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.