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Record W4415585519 · doi:10.1186/s12887-025-06081-x

Pediatric rhabdomyolysis: a systematic review and meta-analysis of etiologies, management, and outcomes

2025· review· en· W4415585519 on OpenAlexaboutno aff
Hany A Zaki, Hussam Elmelliti, Waseem Malik, Eman Shaban, Amira Shaban, Ahmed Shaban

Bibliographic record

VenueBMC Pediatrics · 2025
Typereview
Languageen
FieldMedicine
TopicMuscle and Compartmental Disorders
Canadian institutionsnot available
FundersHamad Medical Corporation
KeywordsMEDLINESystematic reviewRisk assessmentCohort studyOutcomes research

Abstract

fetched live from OpenAlex

Abstract Background Rhabdomyolysis is a potentially fatal disorder that occurs due to various causes. Therefore, the aim of this meta-analysis was to identify the underlying causes, evaluate the treatment options, and determine the mortality and kidney outcomes of children with rhabdomyolysis. Methods We comprehensively searched PubMed, Cochrane Library, Web of Science, EMBASE, and Google Scholar databases for records written in English and published until April 2025. According to PICO criteria, we included studies that enrolled pediatric patients with rhabdomyolysis and reported etiologies, treatments, mortality, and/or kidney outcomes. Subsequently, quality appraisal was conducted with Newcastle Ottawa Scale and statistical analyses were performed using comprehensive meta-analysis (CMA) software. Results Fifteen studies enrolling 10,514 pediatric patients with rhabdomyolysis were reviewed and analyzed. The one-arm meta-analysis revealed that infections were the most predominant etiology of rhabdomyolysis (40.6%; 95% CI: 33.5 to 48.2), followed by trauma (19%; 95% CI: 15.5 to 23.0) and exercise (14.7%; 95% CI: 6.5 to 30.2). Other etiologies accounted for less than 10% of rhabdomyolysis cases i.e., burns (2.9%; 95% CI: 1.2 to 7.2), connective tissue disorder (2.7%; 95% CI: 0.7 to 9.6), drugs (5.8%; 95% CI: 3.1 to 10.6), metabolic abnormalities (4.4%; 95% CI: 3.0 to 6.6), multiorgan failure (4.1%; 95% CI: 1.0 to 15.5), muscular dystrophy (2.6%; 95% CI: 0.6 to 11.4), seizure (7.2%; 95% CI: 3.9 to 12.9), and sepsis (9.9%; 95% CI: 1.1 to 52.8). The pooled results also showed that the incidences of acute kidney injury (AKI) and chronic kidney disease (CKD) were 21.3% (95% CI: 14.5 to 30.3; I 2 = 96%) and 1.1% (95% CI: 0.7 to 2; I 2 = 0%), respectively. The pooled mortality rate of children with rhabdomyolysis was 4.5% (95% CI: 1.7 to 11.8; I 2 = 94.7%). Conclusions Infections are the leading causes of rhabdomyolysis in children. Moreover, AKI is a common complication of rhabdomyolysis in children. However, the prognosis of children with rhabdomyolysis is good and few patients progress to CKD. Systematic review protocol registration PROSPERO: CRD420251035968.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.909
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0120.003
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.096
GPT teacher head0.371
Teacher spread0.275 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designMeta-analysis
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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