Evidence mapPaperPMID 42006613Full record

ReviewFrontiers in cardiovascular medicine2026

Therapeutical progress in sepsis-induced cardiomyopathy.

Jinbo Zhang, Shiying Sheng, Weiwei Luo, Zhaocai Zhang

Abstract readReview
In one paragraph

Review in Frontiers in cardiovascular medicine, 2026. 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

4 authors.

Jinbo Zhang *Emergency Intensive Care Unit, The First People's Hospital of Wenling, Wenling, Zhejiang, China.
Shiying Sheng *Department of Critical Care Medicine, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Weiwei LuoDepartment of Critical Care Medicine, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Zhaocai ZhangDepartment of Critical Care Medicine, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sepsis-induced cardiomyopathy (SCM) is a life-threatening complication of severe sepsis with a high mortality rate. This review comprehensively explores SCM. It details the multifaceted pathogenesis, including inflammatory storm, mitochondrial dysfunction, abnormal calcium handling, complement activation, and emerging mechanisms related to exosomes and non-coding RNAs. We propose an integrated mechanistic model centered on the "energy metabolism-calcium handling" axis to explain the unique reversibility of SCM. Conventional treatments like antibiotic therapy, fluid management, and the use of vasopressors and inotropic agents are discussed, along with their limitations. Promising strategies such as repurposing old drugs, applying traditional Chinese medicine, and new approaches are presented. To bridge the gap between mechanistic understanding and clinical application, we categorize these emerging therapies according to the primary pathological pathway they target: inflammation, mitochondrial dysfunction, or calcium dysregulation. Furthermore, we introduce a framework for phenotype-guided treatment and critically evaluate the level of clinical evidence for each intervention. Small active molecules and nanomedicine also show potential in SCM treatment. Future research should focus on large-scale clinical trials to validate these therapies and integrate precision medicine strategies for better patient outcomes.

Indexed as

pathogenesisrepurposed drugssepsis-induced cardiomyopathytraditional Chinese medicinetreatment

Identifiers

PMID42006613
PMCPMC13082978

What Socratic holds

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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.