Evidence map›Paper›PMID 42861253›Full record

ArticleiScience2026

Physical activity attenuates mortality risk associated with elevated resting heart rate in chronic kidney disease.

Ya Zhan, Bin He, Lei Pu, Weihong Bi, Guo Wei, Guisen Li

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.

Ya ZhanRenal Department, The Third Hospital of Mianyang, Sichuan Mental Health Center, Mianyang 621000, China.
Bin HeThe No. 1 Department of Gerontology, The Third Hospital of Mianyang, Sichuan Mental Health Center, Mianyang 621000, China.
Lei PuSchool of Medicine, Renal Department and Nephrology Institute, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu 610072, China.
Weihong BiRenal Department, The Third Hospital of Mianyang, Sichuan Mental Health Center, Mianyang 621000, China.
Guo WeiDepartment of Clinical Research Center, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu 610072, China.
Guisen LiSchool of Medicine, Renal Department and Nephrology Institute, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu 610072, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The independent and combined associations of resting heart rate (RHR) and physical activity (PA) with mortality in diverse chronic kidney disease (CKD) populations remain unclear. We analyzed 12,042 patients from three cohorts using Cox regression, restricted cubic splines, joint-effect, mediation, and meta-analytic approaches. Elevated RHR was associated with increased risks of all-cause and cardiovascular mortality, whereas higher PA levels showed consistent protective associations across cohorts. Combined analyses demonstrated that high RHR with low PA was associated with the greatest mortality risk, while high PA attenuated the adverse association of elevated RHR with mortality. Mediation analyses suggested that RHR partially contributed to the association between PA and mortality. RHR and PA are independent and modifiable risk markers for mortality in patients with CKD. Promoting PA and monitoring RHR should be integrated into CKD management to improve survival.

Indexed as

all-cause mortalitycardiovascular mortalitychronic kidney diseasephysical activityresting heart rate

Identifiers

PMID42861253
PMCPMC13654536

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.