Evidence map›Paper›PMID 32461866›Full record

ArticleCureus2020

Do Demographics and Comorbidities Act as Predictors of Co-diagnosis of Attention-deficit/Hyperactivity Disorder in Autism Spectrum Disorder?

Sahar Ashraf, Noha Eskander, Ozge Ceren Amuk, Rikinkumar S Patel

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2020. 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
0.1field-weighted citation impact, top 59% 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, 1 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

4 authors at 3 institutions in 3 countries.

Sahar AshrafPsychiatry, Mayhill Hospital, Denton, USA.
Noha EskanderPsychiatry, Ain Shams University Hospital, Cairo, EGY.
Ozge Ceren AmukPsychiatry, Koç University School of Medicine, Istanbul, TUR.
Rikinkumar S PatelPsychiatry, Griffin Memorial Hospital, Norman, USA.
Memorial Hospital · USKoç University · TRMayo Clinic Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective The study aims to determine the demographic predictors of attention-deficit/hyperactivity disorder (ADHD) in hospitalized children with autism spectrum disorder (ASD) and the impact of comorbidities on the length of stay (LOS). Methods A retrospective study was performed using a nationwide inpatient sample from US hospitals. All patients were ≤18 years in age with a primary diagnosis of ASD (n = 3,095) and grouped by co-diagnosis of ADHD based on the International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) diagnosis codes. Logistic regression was used to calculate the odds ratio (OR) and linear regression for estimated LOS. Results Male patients had a higher odds of comorbid ADHD (OR: 2.2). Age and race were not significant predictors of ADHD though the condition was found to be prevalent in adolescents and Caucasians. These children were mainly from the South (30.8%) and the Midwest (29.9%) regions of the US. Psychosis was seen in 37.3% of patients with ADHD and was more likely to be comorbid psychosis (OR: 1.8). Depression and ADHD increased the LOS in hospitals for ASD by 2.1 days and 0.9 days, respectively. Conclusion Our study led us to determine the demographic predictors of comorbid ADHD in patients with autism, and we believe that our findings can help to better serve these patients and their families. Comorbid ADHD and depression can prolong the length of hospitalization and they necessitate the need for acute inpatient care in such patients.

Indexed as

attention deficit hyperactivity disorder (adhd)autismchild and adolescent psychiatrycomorbiditieslength of stay

Identifiers

PMID32461866
PMCPMC7243838
OpenAlexW3020111701

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.