Evidence mapPaperPMID 41522506Full record

ArticlePeerJ2026

Platelet-lymphocyte ratio and its dynamic changes predict mortality in septic acute kidney injury patients: a retrospective multi-center study using U.S. database and Chinese hospital data.

Caihong Liu, Xue Tang, Wei Wei, Yongxiu Huang, Mingjing Guan, Jinglei Ren, Binyu Yang, Ping Fu, Ling Zhang, Yuliang Zhao

Abstract readMulticenter Study
In one paragraph

Article in PeerJ, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Caihong Liu *Department of Nephrology, Institute of Kidney Diseases, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Xue Tang *Department of Nephrology, West China Hospital of Sichuan University/West China School of Nursing, Sichuan University, Chengdu, Sichuan, China.
Wei WeiDepartment of Nephrology, Institute of Kidney Diseases, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Yongxiu HuangDepartment of Nephrology, Institute of Kidney Diseases, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Mingjing GuanDepartment of Nephrology, Institute of Kidney Diseases, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Jinglei RenDepartment of Nephrology, Institute of Kidney Diseases, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Binyu YangDepartment of Nephrology, Institute of Kidney Diseases, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Ping FuDepartment of Nephrology, Institute of Kidney Diseases, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Ling ZhangDepartment of Nephrology, Institute of Kidney Diseases, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Yuliang ZhaoDepartment of Nephrology, Institute of Kidney Diseases, West China Hospital of Sichuan University, Chengdu, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The platelet-to-lymphocyte ratio (PLR), a readily available marker that integrates systemic inflammatory burden and immune competence, has emerged as a cost-effective prognostic biomarker in critical care medicine. Elevated PLR has been linked to adverse outcomes across a spectrum of critical illnesses, yet its utility in predicting prognosis among patients with septic acute kidney injury (AKI) remains undefined. Moreover, little is known about how in-hospital trajectories of PLR influence survival outcomes. Method: This retrospective study employed data from the Medical Information Mart for Intensive Care IV and West China Hospital of Sichuan University. The primary endpoints were 28-day and 90-day all-cause mortality. The association between baseline PLR/changes in PLR (ΔPLR) and 28-day and 90-day mortality was investigated by survival analysis and Cox proportional hazards models. ΔPLR was calculated as PLR at discharge minus PLR at admission. Patients were stratified based on optimal PLR cut-off values determined from the training cohort, and results were validated internally and externally. Predefined subgroup analyses probed for effect modification across key clinical populations, and mediation analysis was conducted to quantify intermediate variables linking PLR/ΔPLR dynamics to patient outcomes. Result: A total of 1,478 patients were included in the baseline-PLR cohort and 982 in the ΔPLR cohort. In the training set, an elevated baseline PLR (≥335.44) was associated with significantly higher 28-day mortality (26.56% Conclusion: Both baseline PLR and its dynamic change during hospitalization may serve as significant predictors of mortality in septic AKI. PLR-based indices could aid in risk stratification and early identification of high-risk patients.

Indexed as

Acute Kidney InjuryBlood PlateletsLymphocytesSepsisAgedBiomarkersChinaDatabases, FactualFemaleHumansLymphocyte CountMaleMiddle AgedPlatelet CountPrognosisRetrospective StudiesBiomarkersMediation analysisMortalityPlatelet-lymphocyte ratioSeptic acute kidney injury

Identifiers

PMID41522506
PMCPMC12786120

What Socratic holds

Textmetadata
LicenceCC BY
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.