Evidence map›Paper›PMID 42006338›Full record

ArticleiScience2026

Longitudinal multicohort evidence for bidirectional diabetes arthritis links in older adults.

Minyuan Zhang, Yuzhou Cai, Fengyuan Guo, Tao Zhou, Kaiquan Li, Chuan He

Abstract read
In one paragraph

Article in iScience, 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

6 authors.

Minyuan ZhangDepartment of Sports Medicine, The First Affiliated Hospital of Kunming Medical University, Kunming 650032, China.
Yuzhou CaiDepartment of Gastrointestinal Surgery, The First Affiliated Hospital of Kunming Medical University, Kunming 650032, China.
Fengyuan GuoDepartment of Sports Medicine, The First Affiliated Hospital of Kunming Medical University, Kunming 650032, China.
Tao ZhouDepartment of Sports Medicine, The First Affiliated Hospital of Kunming Medical University, Kunming 650032, China.
Kaiquan LiDepartment of Sports Medicine, The First Affiliated Hospital of Kunming Medical University, Kunming 650032, China.
Chuan HeDepartment of Sports Medicine, The First Affiliated Hospital of Kunming Medical University, Kunming 650032, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes mellitus and arthritis frequently co-occur in older adults, but whether they causally reinforce each other and through which mechanisms remain unclear. We used harmonized longitudinal data from three nationally representative cohorts across China (CHARLS), the United States (HRS), and Europe (SHARE) to test bidirectional relationships between diabetes and arthritis in late life. Cross-lagged panel models over multiple waves quantified reciprocal effects, prespecified mediation analyses evaluated 21 biologically and clinically motivated mediators, and the NOTEARS algorithm probed data-driven causal network structure. Across all cohorts, diabetes consistently increased subsequent arthritis risk and to a lesser extent, arthritis increased subsequent diabetes risk, with effects robust across demographic and clinical subgroups. C-reactive protein, grip strength, and HbA1c emerged as the dominant mediators, linking metabolic, inflammatory, and functional pathways. These findings support viewing diabetes and arthritis as mutually reinforcing conditions that share modifiable upstream mechanisms, motivating integrated prevention and management strategies in aging populations.

Indexed as

endocrinologyhealth sciencesimmunologyinternal medicinemedical specialtymedicine

Identifiers

PMID42006338
PMCPMC13091014

What OpenQuestion 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 OpenQuestion graph.