ArticleMedicine2026
Comparative evaluation of the sarcopenia index and 5 related creatinine-cystatin C biomarkers in relation to all-cause mortality in older adults: A cohort study.
Article in Medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
Several creatinine- and cystatin C-based biomarkers have been individually associated with mortality, but their comparative associations have rarely been evaluated head-to-head under a common analytic framework. We compared 6 related biomarkers in relation to all-cause mortality in older adults. In the China Health and Retirement Longitudinal Study 2015 to 2020 cohort, we studied 2987 men (428 deaths) and 2995 women (228 deaths) aged ≥60 years. Six related biomarkers (sarcopenia index [SI], predicted skeletal muscle index, total body muscle mass, creatinine-to-cystatin C ratio [CCR], eGFRcys(2012)/eGFRcr(2021), and eGFRcys(2012) - eGFRcr(2021)) were evaluated using sex-stratified Cox models, a prespecified mutually adjusted bootstrap ranking framework, and supportive external evidence from the National Health and Nutrition Examination Survey. In fully adjusted single-biomarker models, SI, predicted skeletal muscle index, and total body muscle mass showed the most consistent inverse associations with all-cause mortality, whereas CCR, eGFRcys(2012)/eGFRcr(2021), and eGFRcys(2012) - eGFRcr(2021) were weaker, particularly in women. Within the joint 6-biomarker framework, SI ranked highest in both sexes, whereas CCR showed a reversed association after mutual adjustment. Discrimination was broadly similar across single biomarkers, and the joint 6-biomarker model provided only modest improvement beyond standard covariates. Supportive analyses, including the National Health and Nutrition Examination Survey, were directionally consistent overall but less precise. Among 6 closely related creatinine-cystatin C biomarkers, SI showed the most consistent comparative association pattern with all-cause mortality. However, incremental discrimination beyond standard covariates was small, supporting SI primarily as the clearest comparative marker within this biomarker family rather than as evidence of major predictive superiority.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.