Evidence map›Paper›PMID 42676012›Full record

ArticleThe Journal of international medical research2026

Association between lactate-to-albumin ratio and 28-day all-cause mortality in critically ill patients with chronic kidney disease: A retrospective cohort study from the Medical Information Mart for Intensive Care IV database.

Lei Chen, Chenwei Lv, Haibin Ni, Xingxing Hu, Xiaomei Cheng

Abstract read
In one paragraph

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

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

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

5 authors.

Lei ChenDepartment of Emergency, The Second Hospital of Nanjing, Affiliated to Nanjing University of Chinese Medicine, China.ORCID 0009-0008-1993-5224
Chenwei LvDepartment of Intensive Care Medicine, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, China.
Haibin NiDepartment of Intensive Care Medicine, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, China.
Xingxing HuDepartment of Intensive Care Medicine, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, China.
Xiaomei ChengDepartment of Health Medicine, The Affiliated Jinling Hospital of Nanjing Medical University, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ObjectiveThe lactate-to-albumin ratio has been associated with adverse outcomes in various diseases. However, the impact of the lactate-to-albumin ratio on the prognosis of critically ill patients with chronic kidney disease remains unclear. Therefore, this study aimed to investigate the predictive ability of the lactate-to-albumin ratio for 28-day all-cause mortality in critically ill patients with chronic kidney disease.MethodsThis retrospective cohort study included 4271 critically ill patients with chronic kidney disease from the Medical Information Mart for Intensive Care IV database. The exposure factor was the lactate-to-albumin ratio, and the outcome was the 28-day mortality rate. Hazard ratios were computed along with their corresponding 95% confidence intervals using multivariate Cox regression.ResultsMultivariable Cox regression revealed that, compared with the Tertile 1 group, the hazard ratio for 28-day mortality was 1.55 (95% confidence interval: 1.26-1.92,

Indexed as

Critical IllnessLactic AcidRenal Insufficiency, ChronicSerum AlbuminAgedDatabases, FactualFemaleHumansIntensive Care UnitsKaplan-Meier EstimateMaleMiddle AgedPrognosisProportional Hazards ModelsRetrospective StudiesLactic AcidSerum Albuminalbuminchronic kidney diseasecritically ill patientLactateMedical Information Mart for Intensive Care IV

Identifiers

PMID42676012
PMCPMC13535061

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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.