Evidence map›Paper›PMID 40290606›Full record

ArticleWorld journal of orthopedics2025

Pathophysiology and management of crush syndrome: A narrative review.

Shahnawaz Khan, Deepak Neradi, Nikhil Unnava, Mantu Jain, Sujit Kumar Tripathy

Abstract read
In one paragraph

Article in World journal of orthopedics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

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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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Mortality prediction in older adults with earthquake-related trauma: a model combining MEWS and laboratory biomarkers.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2026
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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.

Shahnawaz KhanDepartment of Orthopedics, All India Institute of Medical Sciences, Bhubaneswar 751019, India.
Deepak NeradiDepartment of Orthopedics, All India Institute of Medical Sciences, Bhubaneswar 751019, India.
Nikhil UnnavaDepartment of Orthopedics, All India Institute of Medical Sciences, Bhubaneswar 751019, India.
Mantu JainDepartment of Orthopedics, All India Institute of Medical Sciences, Bhubaneswar 751019, India.
Sujit Kumar TripathyDepartment of Orthopedics, All India Institute of Medical Sciences, Bhubaneswar 751019, India. sujitortho@yahoo.co.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCrush syndrome refers to the traumatic rhabdomyolysis leading to a spectrum of disorders culminating in acute kidney injury. The burden of crush syndrome is high, and mortality can be as high as 20%. The significant bulk of knowledge is from old articles. Over the last 10 years new research has occurred on diagnosis and treatment in animal models.

aimTo overview of crush syndrome and discuss the newer advances related to the pathogenesis and management of a patient with crush syndrome.

methodsThe search of databases such as MEDLINE, Google Scholar, Web of Science, and EMBASE revealed 8226 articles. A thorough screening culminated in 83 crush syndrome articles included in this study.

resultsAcute kidney injury in crush syndrome is currently thought to be due to iron retention. The management of crush syndrome has also been updated with antioxidants, and several gases are being used to treat crush syndrome. In the end, treatment of crush syndrome also includes mental, social, and physical rehabilitation for better outcomes.

conclusionThe outcomes of crush syndrome have significantly improved with the introduction of newer treatment modalities, including antioxidants, hyperbaric oxygen therapy, and comprehensive mental, social, and physical rehabilitation.

Indexed as

Acute kidney injuryFractureMuscleMusculoskeletal injuryMyoglobinRhabdomyolysis

Identifiers

PMID40290606
PMCPMC12019140

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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.