Evidence map›Paper›PMID 38022247›Full record

ArticleCureus2023

A Rare Case of Diffuse Alveolar Hemorrhage Caused by Fentanyl Inhalation.

Aneeta Nangrani, Justin Chung, Edison Jyang, Kunal Nangrani, Marie Schmidt

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
0.2field-weighted citation impact, top 40% 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. Beyond respiratory depression: acute and delayed pulmonary responses following aerosolized fentanyl exposure.Toxicological sciences : an official journal of the Society of Toxicology · 2026
    Article
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 3 institutions in 2 countries.

Aneeta NangraniPulmonary and Critical Care Medicine, One Brooklyn Health, Brooklyn, USA.
Justin ChungInternal Medicine, State University of New York Downstate Medical Center, Brooklyn, USA.
Edison JyangInternal Medicine, Medical University of Lublin, Lublin, POL.
Kunal NangraniPulmonary and Critical Care Medicine, Mount Sinai Hospital, Queens, USA.
Marie SchmidtPulmonary and Critical Care Medicine, Interfaith Medical Center, Brooklyn, USA.
Mount Sinai Queens · USQueens Hospital Center · USInterfaith Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diffuse alveolar hemorrhage (DAH) is a rare but life-threatening pulmonary disorder characterized by blood accumulation in alveolar spaces, often associated with autoimmune diseases and infections. Drug-induced causes of DAH, including inhalation of substances like fentanyl, are emerging concerns. A 40-year-old male with bipolar disorder and polysubstance abuse presented with altered mental status and hemoptysis after inhaling an unknown substance. Physical examination revealed respiratory distress, pinpoint pupils, and severe hypoxemia. Naloxone administration improved his condition. The workup showed negative infection markers, positive fentanyl-specific urine test, and diffuse bilateral opacities on imaging. Bronchoalveolar lavage confirmed DAH with >20% hemosiderin-laden macrophages. Steroid treatment resulted in marked improvement. Drug-induced DAH, such as fentanyl inhalation, should be considered in patients with altered mental status and pulmonary symptoms following substance use. Comprehensive evaluation and targeted treatment are crucial for optimal outcomes.

Indexed as

dahdiffuse alveolar hemorrhagefentanylopioidpulmonary hemorrhage

Identifiers

PMID38022247
PMCPMC10665760
OpenAlexW4387900037

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.