Evidence map›Paper›PMID 41341081›Full record

ArticleProceedings (Baylor University. Medical Center)2025

Racial and sex disparities in inpatient outcomes of patients with opioid overdose: a nationwide analysis.

Mohammed A Quazi, Aman Goyal, Toqeer Khan, Mikel Madi, Zohaa Faiz, Alan G Ortega Macias, Edward Davis, Amir Humza Sohail, Abu Baker Sheikh

Abstract read
In one paragraph

Article in Proceedings (Baylor University. Medical Center), 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

9 authors.

Mohammed A QuaziDepartment of Family and Community Health, West Virginia University, Morgantown, West Virginia, USA.
Aman GoyalDepartment of Internal Medicine, Cleveland Clinic Foundation, Cleveland, Ohio, USA.ORCID https://orcid.org/0000-0001-8062-5657
Toqeer KhanDepartment of Internal Medicine, University of New Mexico, Albuquerque, New Mexico, USA.
Mikel MadiDepartment of Internal Medicine, American University of Beirut, Beirut, Lebanon.
Zohaa FaizDepartment of Internal Medicine, Aga Khan University, Karachi, Pakistan.
Alan G Ortega MaciasDepartment of Internal Medicine, University of New Mexico, Albuquerque, New Mexico, USA.
Edward DavisDepartment of Mathematics and Statistics, University of New Mexico, Albuquerque, New Mexico, USA.
Amir Humza SohailDepartment of Surgery, University of New Mexico, Albuquerque, New Mexico, USA.
Abu Baker SheikhDepartment of Internal Medicine, University of New Mexico, Albuquerque, New Mexico, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The opioid crisis continues to affect communities across the US, with significant sex- and race-based disparities in outcomes. Limited research has explored how these disparities influence hospitalization outcomes after opioid overdose. Methods: We conducted a retrospective cohort study using the National Inpatient Sample database. Opioid overdose codes specific to opioid poisoning were used. We analyzed in-hospital outcomes including mortality, complications, and healthcare utilization across sex and racial groups. Results: Among 479,175 hospitalizations for opioid overdose, males accounted for 52% and had higher mortality than females (adjusted odds ratio [aOR], 1.13; 95% confidence interval [CI], 1.09-1.17; Conclusion: Our study highlights persistent sex and racial disparities in inpatient opioid overdose outcomes, with males and White patients showing higher mortality.

Indexed as

Disparityepidemiologyopioidsoutcomespublic health

Identifiers

PMID41341081
PMCPMC12671507

What OpenQuestion holds

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Registered trials

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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.