Evidence map›Paper›PMID 41280395›Full record

ArticleFrontiers in nutrition2025

Inflammation, glucose metabolism, and nutritional markers in relation to all-cause and cardiac mortality among initial hemodialysis patients: a multicenter cohort study.

Shi-Mei Hou, Yu-Ting Gao, Meng-Huan Wu, Yu-Xin Ren, Jing Zheng, Yao Wang, Jing-Yuan Cao, Xiao-Xu Wang, Yan Yang, Bin Wang and 2 more

Abstract read
In one paragraph

Article in Frontiers in nutrition, 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.

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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

12 authors.

Shi-Mei Hou *Department of Nephrology, the Third Affiliated Hospital of Soochow University, Changzhou First People's Hospital, Changzhou, China.
Yu-Ting Gao *Department of Nephrology, the Third Affiliated Hospital of Soochow University, Changzhou First People's Hospital, Changzhou, China.
Meng-Huan Wu *Department of Nephrology, the Third Affiliated Hospital of Soochow University, Changzhou First People's Hospital, Changzhou, China.
Yu-Xin RenDepartment of Nephrology, the Third Affiliated Hospital of Soochow University, Changzhou First People's Hospital, Changzhou, China.
Jing ZhengSchool of Medicine, Zhong Da Hospital, Institute of Geriatrics, Southeast University, Nanjing, Jiangsu, China.
Yao WangInstitute of Nephrology, Yangzhou First People's Hospital, Yangzhou, Jiangsu, China.
Jing-Yuan CaoSchool of Medicine, Zhong Da Hospital, Institute of Nephrology, Southeast University, Nanjing, Jiangsu, China.
Xiao-Xu WangInstitute of Nephrology, Yangzhou First People's Hospital, Yangzhou, Jiangsu, China.
Yan YangDepartment of Nephrology, the Third Affiliated Hospital of Soochow University, Changzhou First People's Hospital, Changzhou, China.
Bin WangSchool of Medicine, Zhong Da Hospital, Institute of Nephrology, Southeast University, Nanjing, Jiangsu, China.
Min YangDepartment of Nephrology, the Third Affiliated Hospital of Soochow University, Changzhou First People's Hospital, Changzhou, China.
Min LiDepartment of Nephrology, the Third Affiliated Hospital of Soochow University, Changzhou First People's Hospital, Changzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the prognostic value of inflammatory biomarkers including neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and lymphocyte-to-monocyte ratio (LMR), glucose metabolism (glucose-to-lymphocyte ratio, GLR), and nutritional (albumin, ALB) biomarkers for predicting all-cause and cardiac mortality in patients initiating hemodialysis (HD), and evaluates their incremental value when integrated into traditional risk models. Methods: A retrospective cohort of 795 initial HD patients (2014-2020) was analyzed, with follow-up through 2022. Cox proportional hazards models were used to assess associations between biomarkers and mortality. Predictive performance was evaluated using time-dependent ROC curves, C-index, net reclassification improvement (NRI), and integrated discrimination improvement (IDI). Patients were randomly assigned to training ( Results: Elevated NLR, PLR, and GLR were independently associated with increased all-cause and cardiac mortality, whereas lower LMR and ALB were protective (all Conclusion: Incorporating inflammatory, glucose metabolism and nutritional biomarkers into traditional risk models substantially improves long-term mortality risk stratification in initial HD patients, offering a robust, clinically applicable tool to support individualized prognostic assessment and intervention planning.

Indexed as

biomarkersglucose metabolismhemodialysisinflammationmortalitynutrition

Identifiers

PMID41280395
PMCPMC12631612

What Socratic holds

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Registered trials

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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 Socratic graph.