Evidence map›Paper›PMID 34395546›Full record

ArticleKidney diseases (Basel, Switzerland)2021

Physical Function and Clinical Outcomes in Hemodialysis Patients: China Dialysis Outcomes and Practice Patterns Study.

Qingyu Niu, Xinju Zhao, Liangying Gan, Xinling Liang, Zhaohui Ni, Xiaonong Chen, Yuqing Chen, Fan Fan Hou, Li Zuo

Abstract read
In one paragraph

Article in Kidney diseases (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
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1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Qingyu NiuDepartment of Nephrology, Peking University People's Hospital, Beijing, China.
Xinju ZhaoDepartment of Nephrology, Peking University People's Hospital, Beijing, China.
Liangying GanDepartment of Nephrology, Peking University People's Hospital, Beijing, China.
Xinling LiangDivision of Nephrology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Zhaohui NiRenal Division, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Xiaonong ChenDivision of Nephrology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Yuqing ChenRenal Division, Peking University First Hospital, Beijing, China.
Fan Fan HouDivision of Nephrology, Nanfang Hospital, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Southern Medical University, Guangzhou, China.
Li ZuoDepartment of Nephrology, Peking University People's Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHemodialysis (HD) patients usually have impaired physical function compared with the general population. Self-reported physical function is a simple method to implement in daily dialysis care. This study aimed to examine the association of self-reported physical function with clinical outcomes of HD patients.

methodsThe Dialysis Outcomes and Practice Patterns Study (DOPPS) is a prospective cohort study. Data on 1,427 HD patients in China DOPPS5 were analyzed. Self-reported physical function was characterized by 2 items of "moderate activities limited level" and "climbing stairs limited level." Demographic data, comorbidities, hospitalization, and death records were collected from patients' records. Associations between physical function and outcomes were analyzed using COX regression models.

resultsCompared to "limited a lot" in moderate activities, "limited a little" and "not limited at all" groups were associated with lower all-cause mortality after adjusted for covariates (HR: 0.652, 95% CI: 0.435-0.977, and HR: 0.472, 95% CI: 0.241-0.927, respectively). And, not limited in moderate activities was associated with lower risk of hospitalization than the "limited a lot" group after adjusted for covariates (HR: 0.747, 95% CI: 0.570-0.978). Meanwhile, compared to "limited a lot" in climbing stairs, "limited a little" and "not limited at all" groups were associated with lower all-cause mortality (HR: 0.574, 95% CI: 0.380-0.865 and HR: 0.472, 95% CI: 0.293-0.762, respectively) but not hospitalization after fully adjusted.

conclusionHigher limited levels in self-reported physical function were associated with higher risk of all-cause mortality and hospitalization in HD patients.

Indexed as

Dialysis outcomes and practices patterns studyHemodialysisHospitalizationMortalityPhysical function

Identifiers

PMID34395546
PMCPMC8314778

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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.