Evidence map›Paper›PMID 39759049›Full record

ReviewJournal of anaesthesiology, clinical pharmacology

Insights into pathophysiology, management, and outcomes of near-hanging patients: A narrative review.

Balaji Kannamani, Neeru Sahni, Anjishnujit Bandyopadhyay, Vikas Saini, Laxmi Narayana Yaddanapudi

Abstract readReview
In one paragraph

Review in Journal of anaesthesiology, clinical pharmacology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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.

Balaji KannamaniDepartment of Critical Care Medicine, Manipal Hospital, Dwarka, New Delhi, India.
Neeru SahniDepartment of Anaesthesia and Intensive Care, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
Anjishnujit BandyopadhyayDepartment of Anaesthesiology, Pain Medicine and Critical Care, Jai Prakash Narayan Apex Trauma Center, All India Institute of Medical Sciences, New Delhi, India.
Vikas SainiDepartment of Anaesthesia and Intensive Care, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
Laxmi Narayana YaddanapudiDepartment of Anaesthesia and Intensive Care, Post Graduate Institute of Medical Education and Research, Chandigarh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hanging is suspension of a person by noose or ligature around the neck. Hanging has been used as a judicial execution method since medieval times and is still a common method of suicide in developing countries. The term "near hanging" is used for those who survive long enough to reach the hospital, and these patients still hold mortality as high as 45%. These patients can present with a wide array of complaints involving cardiovascular, neurologic, and pulmonary systems and local injuries to the airway and vascular structures. High serum lactate and cardiac arrest at arrival are some of the prognostic factors which portend a poor prognosis. Early admission and aggressive treatment are essential to provide best neurologic outcome. Due to paucity of definitive guidelines, therapy has to be based on clinical reports and expertise of the treating physician. Hence, near-hanging patients pose a great challenge in primary emergency care and intensive care management. This review aims to outline the pathophysiology, prognostic indicators, and recent evidence in the management of near-hanging patients.

Indexed as

Aspiration pneumoniahypoxic encephalopathynear hangingpartial hanging

Identifiers

PMID39759049
PMCPMC11694867

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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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.