Evidence map›Paper›PMID 42729287›Full record

ArticleFrontiers in endocrinology2026

Evaluation of ten composite inflammatory indicators for sarcopenia in type 2 diabetes mellitus.

Wen Wei, Luojing Zhong, Hui Cao, Fentao Zhong, Hongze Lin, Hangju Chen, Lingying Cao, Ruiyu Lin, Shidi Wen

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 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

9 authors.

Wen Wei *Department of Endocrinology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, China.
Luojing Zhong *Department of Endocrinology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, China.
Hui Cao *Department of Endocrinology and Rheumatology, Jinjiang Hospital, Jinjiang, China.
Fentao ZhongDepartment of Endocrinology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, China.
Hongze LinDepartment of Endocrinology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, China.
Hangju ChenDepartment of Endocrinology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, China.
Lingying CaoDepartment of Endocrinology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, China.
Ruiyu LinDepartment of Endocrinology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, China.
Shidi WenDepartment of Endocrinology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The value of composite inflammatory indicators in identifying sarcopenia in patients with type 2 diabetes mellitus (T2DM) remains unclear. This study investigated associations between ten composite inflammatory indicators and sarcopenia, aiming to identify optimal indicators for sarcopenia detection in T2DM. Methods: The ten indicators were: systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), neutrophil-to-lymphocyte ratio (NLR), pan-immune inflammation value (PIV), platelet-to-lymphocyte ratio (PLR), advanced lung cancer inflammation index (ALI), neutrophil-to-albumin percentage ratio (NPAR), platelet-to-neutrophil ratio (PNR), neutrophil-lymphocyte-platelet ratio (NLPR), and hemoglobin-to-red cell distribution width ratio (HRR). Associations with sarcopenia and severe sarcopenia were assessed using restricted cubic splines (RCS) and multivariable logistic regression. Receiver operating characteristic (ROC) curves evaluated their identification ability. Results: Sarcopenia prevalence was 34.1% ( Conclusion: Elevated SII, SIRI, PIV, NPAR, NLPR, and NLR were positively associated with sarcopenia in T2DM, while ALI was inversely associated. Among all composite inflammatory indicators, ALI demonstrated the best ability to identify sarcopenia and severe sarcopenia in T2DM patients.

Indexed as

BiomarkersDiabetes Mellitus, Type 2InflammationSarcopeniaAgedFemaleHumansMaleMiddle AgedNeutrophilsROC CurveBiomarkerscomposite inflammatory indicatorsinflammationsarcopeniasevere sarcopeniatype 2 diabetes mellitus

Identifiers

PMID42729287
PMCPMC13561816

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.