Evidence map›Paper›PMID 41359607›Full record

ArticlePloS one2025

Lactate dehydrogenase is an indicator for outcomes of short-term and long-term in septic patients.

Zhao Zeng, Cuirong Guo, Fengning Tang, Ning Ding

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 10-epi-Protectin DX and Resolvin D5International journal of molecular sciences · 2026
    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.

Zhao ZengDepartment of Emergency Medicine, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, China.
Cuirong GuoDepartment of Emergency Medicine, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, China.
Fengning TangDepartment of Emergency Medicine, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, China.
Ning DingDepartment of Emergency Medicine, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, China.ORCID https://orcid.org/0000-0001-7805-2191

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe association between lactate dehydrogenase (LDH) and clinical outcomes in sepsis was explored based on MIMIC-IV database.

methodsThis was a retrospective study. Models including unadjusted model and adjusted models were performed for exploring the association of LDH with 30-day mortality and 1-year mortality. The smooth fitting curves were constructed by using generalized additive model. The predictive value of LDH for clinical outcomes in sepsis was evaluated. The statistical software of EmpowerStats (http://www. empowerstats. com) and R (http://www.R-project.org) were applied for analysis.

results6775 sepsis patients were included. After adjusted for all potential confounders, for every 100 IU/L increment in LDH, the risk of 30-day mortality and 1-year mortality increased by 11% (odds ratio (OR)=1.11, 95%CI:1.08-1.13, P < 0.0001) and 12% (OR=1.12, 95%CI:1.09-1.14, P < 0.0001), respectively. The areas under the ROC curve of LDH for predicting mortalities of 30-day and 1-year were 0.667 (95%CI:0.652-0.681) and 0.646 (95%CI: 0.632-0.660), respectively.

conclusionLDH was positively correlated with 30-day and 1-year mortalities in sepsis and the relationship was nonlinear.

Indexed as

L-Lactate DehydrogenaseSepsisAgedBiomarkersFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesROC CurveBiomarkersL-Lactate Dehydrogenase

Identifiers

PMID41359607
PMCPMC12685224

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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.