Evidence map›Paper›PMID 39619128›Full record

ArticleInternational journal of general medicine2024

Clinical Characteristics and Analysis of Risk Factors Associated with Rhabdomyolysis in Snakebite Victims.

Fu-Zhen Wang, Shi-Hong Xiang, Sen-Qing Lin, Feng-Qi Qian, Qiu-Xia Zhang, Ming-Hui Geng, Jin-Xiu Deng, Sen-Chao Wu

Abstract read
In one paragraph

Article in International journal of general medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

2 citing papers in PubMed.

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4 · The record

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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

8 authors.

Fu-Zhen Wang *Department of Nephrology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, Fujian 364000, People's Republic of China.
Shi-Hong Xiang *Department of Nephrology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, Fujian 364000, People's Republic of China.
Sen-Qing LinDepartment of Nephrology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, Fujian 364000, People's Republic of China.
Feng-Qi QianDepartment of Nephrology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, Fujian 364000, People's Republic of China.
Qiu-Xia ZhangDepartment of Nephrology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, Fujian 364000, People's Republic of China.
Ming-Hui GengDepartment of Nephrology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, Fujian 364000, People's Republic of China.
Jin-Xiu DengDepartment of Nephrology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, Fujian 364000, People's Republic of China.
Sen-Chao WuDepartment of Nephrology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, Fujian 364000, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To enhance the understanding of rhabdomyolysis (RM) caused by snakebites and to promptly identify and intervene in the risk factors associated with RM. Methods: A retrospective analysis involving 209 snakebite victims who visited our hospital for snakebite cases was conducted. Among these, 43 were related to RM, while 166 did not exhibit RM (NRM). The clinical characteristics, treatment, and prognostic outcomes of both groups were statistically analyzed, with the aim of interpreting the risk factors associated with snakebites concurrent with RM through logistic regression analysis. Results: Snakebite incidents commonly manifest during the summer and autumn seasons, predominantly affecting middle-aged and elderly populations, with injuries mostly occurring in the limbs. Creatine kinase (CK), CK isoenzyme MB, and lactate dehydrogenase indicators exhibited significantly elevated levels in the RM group compared to the NRM group ( Conclusion: Snakebite victims with RM have more severe clinical conditions, necessitating prolonged treatment duration, and exhibit heightened mortality rates in comparison to those without RM.

Indexed as

acute kidney injuryclinical featuresrhabdomyolysisrisk factorssnakebite

Identifiers

PMID39619128
PMCPMC11608037

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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.