Evidence map›Paper›PMID 25678154›Full record

ArticleMuscle & nerve2015

Diagnostic evaluation of rhabdomyolysis.

Jessica R Nance, Andrew L Mammen

Open access · greenAbstract read
In one paragraph

Article in Muscle & nerve, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 114 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
114citing papers in PubMed, 3 pooled it
15.9field-weighted citation impact, top 1% 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

114 citing papers in PubMed, 3 syntheses or guidelines pooled it, 236 citations in OpenAlex.

  1. Pooled it
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  8. Rhabdomyolysis: a narrative review.Arquivos de neuro-psiquiatria · 2026
    Review
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54 more citing papers are in PubMed but not listed here.

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

2 authors at 2 institutions in 1 country.

Jessica R NanceDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Andrew L MammenDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Johns Hopkins University · USNational Institutes of Health · US

Funding

Muscle Disease UnitZIAAR041203 · NIAMS · NATIONAL INSTITUTE OF ARTHRITIS AND MUSCULOSKELETAL AND SKIN DISEASES · PI MAMMEN, ANDREW · 2015 to 2025
$19.7M
Intramural NIH HHS Z99 AR999999
6 · The paper itself

Abstract

Rhabdomyolysis is characterized by severe acute muscle injury resulting in muscle pain, weakness, and/or swelling with release of myofiber contents into the bloodstream. Symptoms develop over hours to days after an inciting factor and may be associated with dark pigmentation of the urine. Serum creatine kinase and urine myoglobin levels are markedly elevated. Clinical examination, history, laboratory studies, muscle biopsy, and genetic testing are useful tools for diagnosis of rhabdomyolysis, and they can help differentiate acquired from inherited causes of rhabdomyolysis. Acquired causes include substance abuse, medication or toxic exposures, electrolyte abnormalities, endocrine disturbances, and autoimmune myopathies. Inherited predisposition to rhabdomyolysis can occur with disorders of glycogen metabolism, fatty acid β-oxidation, and mitochondrial oxidative phosphorylation. Less common inherited causes of rhabdomyolysis include structural myopathies, channelopathies, and sickle-cell disease. This review focuses on the differentiation of acquired and inherited causes of rhabdomyolysis and proposes a practical diagnostic algorithm. Muscle Nerve 51: 793-810, 2015.

Indexed as

HumansLactic AcidMusclesRhabdomyolysisLactic Acidetiologyinherited myopathymetabolic myopathyrhabdomyolysissymptoms

Identifiers

PMID25678154
PMCPMC4437836
OpenAlexW1656822188

What OpenQuestion holds

Textmetadata
LicenceTDM
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.