Evidence map›Paper›PMID 42707336›Full record

ArticleFrontiers in nutrition2026

Development and multi-cohort validation of a sarcopenia-inflammation index for predicting all-cause mortality in patients with chronic kidney disease.

Xiaolong Wang, Jian Yang, Yanjun Liang, Zheyi Dong, Shuang Liang

Abstract read
In one paragraph

Article in Frontiers in nutrition, 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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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

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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.

Xiaolong WangDepartment of Nephrology, First Medical Center of Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, Beijing, China.
Jian YangDepartment of Nephrology, First Medical Center of Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, Beijing, China.
Yanjun LiangDepartment of Nephrology, Characteristic Medical Center of Chinese People's Armed Police Force, Tianjin, China.
Zheyi DongDepartment of Nephrology, First Medical Center of Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, Beijing, China.
Shuang LiangDepartment of Nephrology, First Medical Center of Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Sarcopenia and chronic systemic inflammation frequently co-occur in chronic kidney disease (CKD), collectively driving poor prognosis. Yet current clinical practice lacks an integrated metric to quantify their combined prognostic impact. This study aimed to develop and validate a novel Sarcopenia-Inflammation (SI) Index for predicting all-cause mortality in CKD patients. Methods: This prospective multi-cohort study utilized the C-OPTION cohort ( Results: Among 4,895 CKD patients, multivariate Cox regression identified sarcopenia (HR: 4.582-5.947) and high inflammatory status (HR: 1.43-2.41) as independent mortality determinants with additive effects (interaction Conclusion: The SI Index is a potent, reproducible prognostic tool that integrates muscle decline and systemic inflammation to enhance all-cause mortality prediction in CKD, providing a quantitative basis for identifying high-risk patients and guiding personalized intervention strategies.

Indexed as

chronic kidney diseaseinflammationmortalitysarcopeniaSI index

Identifiers

PMID42707336
PMCPMC13547068

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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.