Evidence map›Paper›PMID 37041853›Full record

ArticleCureus2023

Diagnostic Dilemma of Differentiating Attention-Deficit/Hyperactivity Disorder (ADHD) From Mood Disorders and Other Common Psychiatric Illnesses in Substance Use Patient Population.

Nazar Muhammad, Bhavani G Murugesan, Prakamya Singal, Angelica Antai, Lakshit Jain

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Cureus, 2023. 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
0.9field-weighted citation impact, top 28% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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 at 5 institutions in 3 countries.

Nazar MuhammadPsychiatry, Cornerstone Family Healthcare, New York, USA.
Bhavani G MurugesanPsychiatry and Behavioral Sciences, State University of New York (SUNY) Upstate Medical University, Syracuse, USA.
Prakamya SingalPsychiatry, All India Institute of Medical Sciences, New Delhi, IND.
Angelica AntaiRadiology, University of Uyo Teaching Hospital, Uyo, NGA.
Lakshit JainPsychiatry, University of Connecticut, Hartford, USA.
All India Institute of Medical Sciences · INCornerstone University · USSUNY Upstate Medical University · USUniversity of Connecticut · USUniversity of Uyo Teaching Hospital · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To raise awareness of attention-deficit/hyperactivity disorder (ADHD) as an underdiagnosed, undertreated disorder in adult patients with comorbid substance use disorder (SUD) who are misdiagnosed with other common psychiatric illnesses and to reduce fear and hesitancy in prescribing stimulants as treatment in such a patient population. ADHD diagnosis is easier in the child and adolescent population than the adults due to comorbidities of other psychiatric illnesses and SUD. However, diagnosing ADHD appropriately in an increasing number of adult patients presents challenges. Even if they get diagnosed appropriately, the stigma of substance use disorder holds the providers prescribing stimulant medications for such patient populations due to the high comorbidity of ADHD with SUD. Accurate diagnosis of ADHD in adults is a worthwhile endeavor as this diagnosis is comorbidly present in many mood and substance use disorders patients. Treating ADHD in this population can improve clinical symptoms and overall quality of life.

Indexed as

adult adhddiagnostic dilemmamood disorderssubstance use disorder (sud)under diagnosed adhd

Identifiers

PMID37041853
PMCPMC10084797
OpenAlexW4363650323

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.