Evidence map›Paper›PMID 39309751›Full record

ReviewResuscitation plus2024

Drowning incidents precipitated by unusual causes (DIPUCs): A narrative review of their diagnoses, evaluation and management.

Kevin M Duignan, Hannah Luu, João H Delgado, Shawn London, Richard M Ratzan

Abstract readReview
In one paragraph

Review in Resuscitation plus, 2024. 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

5 authors.

Kevin M DuignanUniversity of Connecticut School of Medicine, Emergency Medicine Residency, MC 1930, 263 Farmington Ave., Farmington, CT 06030-1930, United States.
Hannah LuuUniversity of Connecticut School of Medicine, Emergency Medicine Residency, MC 1930, 263 Farmington Ave., Farmington, CT 06030-1930, United States.
João H DelgadoHartford Hospital, 80 Seymour St, Hartford, CT 06102, United States.
Shawn LondonHartford Hospital, 80 Seymour St, Hartford, CT 06102, United States.
Richard M RatzanHartford Hospital, 80 Seymour St, Hartford, CT 06102, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drowning is a cause of significant morbidity and mortality worldwide. In most circumstances, the proximate cause is attributable to human factors, such as inexperience, fatigue, intoxication, or hazardous water conditions. The phenomenon of drowning incidents precipitated by unusual circumstances (DIPUCs) - either fatal or nonfatal - involving otherwise healthy individuals under generally safe conditions has not been comprehensively addressed in the medical and drowning literature to date. In this review, we discuss etiologies of DIPUCs, diagnostic clues, suggested workup, suggested postmortem testing, and implications for surviving patients and families. Identifying the cause of a drowning incident can be extremely challenging for the initially treating physician, relying perforce on historical context, environmental clues, physical exam, medical history, eyewitness accounts or video recordings. If no clear explanation for a drowning incident emerges despite a thorough investigation, clinicians should consider some of the less common diagnoses we describe in this paper, and, when appropriate, refer for an autopsy with postmortem molecular genetic testing. While time-consuming, these efforts can prove life-saving for some non-fatal drowning victims and the families of all victims of DIPUCs.

Indexed as

Accidental deathCardiac arrestCardiomyopathyDrowningHealth disparitiesInjury science

Identifiers

PMID39309751
PMCPMC11415818

What Socratic holds

Textmetadata
LicenceCC BY-NC
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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 Socratic graph.