Evidence map›Paper›PMID 40549271›Full record

ReviewAdvances in therapy2025

Ethnicity Risk and Exertional Rhabdomyolysis: A Narrative Review.

Angela Nguyen, Austin Thomassen, Ellie M MacDonald, Victoria A Rodriguez, John M Brown, Sahar Shekoohi, Alan D Kaye

Abstract readReview
PubMed Publisher
In one paragraph

Review in Advances in therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Angela NguyenSchool of Medicine, Louisiana State University Health Sciences Center at Shreveport, Shreveport, LA, 71103, USA.
Austin ThomassenSchool of Medicine, Louisiana State University Health Sciences Center at Shreveport, Shreveport, LA, 71103, USA.
Ellie M MacDonaldSchool of Medicine, Louisiana State University Health Sciences Center at Shreveport, Shreveport, LA, 71103, USA.
Victoria A RodriguezSchool of Medicine, Louisiana State University Health Sciences Center at Shreveport, Shreveport, LA, 71103, USA.
John M BrownSchool of Medicine, Louisiana State University Health Sciences Center at Shreveport, Shreveport, LA, 71103, USA.
Sahar ShekoohiDepartment of Anesthesiology, Louisiana State University Health Sciences Center Shreveport, Shreveport, LA, 71103, USA. sahar.shekoohi@lsuhs.edu.ORCID http://orcid.org/0009-0007-4545-4523
Alan D KayeDepartments of Anesthesiology and Pharmacology, Toxicology, and Neurosciences, Louisiana State University Health Sciences Center Shreveport, Shreveport, LA, 71103, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionExertional rhabdomyolysis is a serious condition that happens when skeletal muscle breaks down due to intense physical activity. This leads to the release of substances like creatine kinase, myoglobin, and enzymes into the bloodstream, which can damage the kidneys and cause serious complications if not treated promptly. This narrative review aimed to examine the pathophysiology, risk factors, and complications of exertional rhabdomyolysis (ER), with a specific focus on how ethnicity, particularly sickle cell trait and social determinants of health, influences who develops ER and how severe it becomes. CASE PRESENTATION: Patients with ER often show symptoms like muscle pain, weakness, and dark-colored urine. If the condition becomes severe, it can result in acute kidney injury, electrolyte imbalances, and even death. RISK FACTORS AND EPIDEMIOLOGY: ER is commonly linked to factors such as dehydration, obesity, certain medications, genetic conditions, and sickle cell trait. It is especially seen in athletes and military members. Studies that explore these risk factors include a genome-wide association study focused on African Americans with sickle cell trait, a retrospective cohort study of US Army soldiers, and a population-based study on ER incidence. These articles highlight that those individuals with sickle cell trait, especially in African American populations, face a higher risk of developing ER because their red blood cells can sickle under physical stress. Other studies have emphasized that limited access to healthcare, poor nutrition, and social challenges also contribute to increased risk in minority communities. ETHNICITY AND HEALTH DISPARITIES: Across many of the studies, including observational research and military health data, there is a consistent pattern showing that racial and ethnic disparities play a role in ER outcomes. African Americans with sickle cell trait, in particular, are disproportionately affected. This suggests a need for targeted prevention strategies and improved access to care for those at highest risk.

conclusionThere is a clear need for further research to better understand how genetic and social factors related to ethnicity influence the development and severity of ER. Although the current literature includes genetic studies, cohort analyses, population data, and expert reviews, significant gaps remain. Addressing these gaps is critical for improving clinical care, guiding future research, and supporting patient education. A deeper understanding of these factors will help clinicians identify individuals at higher risk, encourage researchers to explore more inclusive and diverse populations, and empower patients, particularly those in underserved communities, to take preventive action. This will ultimately lead to more equitable and effective approaches to the prevention, diagnosis, and treatment of ER.

Indexed as

Physical ExertionRhabdomyolysisBlack or African AmericanEthnicityHumansRisk FactorsSickle Cell TraitSocial Determinants of HealthWhiteEREthnicity riskExertional rhabdomyolysisSkeletal muscle injury

Identifiers

What Socratic holds

Textmetadata
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 Socratic graph.