Evidence map›Paper›PMID 39730458›Full record

ArticleScientific reports2024

Prevalence and risk factors of pre-frailty and frailty in hemodialysis patients in central China.

Sufang Jiang, Yumei Zhou, Nanhui Zhang, Shan Zhang, Yunhan Xie, Qianqian Qiu, Xiaofan Qiu, Ying Jiang, Longhua Rao

Abstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
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.

Sufang Jiang *Hemodialysis Unit, Department of Nephrology, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Xiangyang, 441000, China.
Yumei Zhou *Department of Nursing, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Xiangyang, 441000, China.
Nanhui ZhangHemodialysis Unit, Department of Nephrology, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Xiangyang, 441000, China.
Shan ZhangHemodialysis Unit, Department of Nephrology, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Xiangyang, 441000, China.
Yunhan XieHemodialysis Unit, Department of Nephrology, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Xiangyang, 441000, China.
Qianqian QiuThe First Hospital of Laohekou City, Xiangyang, China.
Xiaofan QiuGucheng County People's Hospital, Xiangyang, China.
Ying JiangHemodialysis Unit, Department of Nephrology, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Xiangyang, 441000, China. 77477618@qq.com.
Longhua RaoHemodialysis Unit, Department of Nephrology, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Xiangyang, 441000, China. 28481800@qq.com.

Funding

Hubei Provincial Natural Science Foundation 2022CFB873Innovative Research Programme of Xiangyang No.1 People's Hospital XYY2023SD11
6 · The paper itself

Abstract

The current study was to explore the prevalence and risk factors elements of pre-frailty and frailty among patients undergoing hemodialysis (HD) in central China. A cross-sectional, multi-institutional investigation was conducted. From March to May 2024, using the convenience sampling method, a total of 408 HD patients from four hospitals in Xiangyang, China, were recruited for this study. The participants' demographics, lifestyle factors, factors related to dialysis treatment, the FRAIL scale, psychological resilience, and medical coping modes were assessed using a questionnaire. Multi-categorical logistic regression was performed to examine factors associated with pre-frailty and frailty in this population. Furthermore, to evaluate the independent relationship between frailty and psychological resilience, multiple regression analysis was used to adjust potential confounders and obtain odds ratios (OR) and 95% confidence intervals (CI). Pearson correlation analysis was used for correlation analysis among various scales. Among the 408 participants, the prevalence of pre-frailty and frailty among participants for all ages was 26.2% and 38.5%. Multivariate logistic regression analysis showed that smoking status, falls, heart disease, and psychological resilience are all associated with pre-frailty and frailty. The Pearson correlation analysis showed that resignation was positively related to frailty and negatively related to psychological resilience in patients. Confrontation and avoidance were positively related to psychological resilience. Frailty was negatively related to psychological resilience. Psychological resilience was independently linearly associated with pre-frailty (OR 0.49, 95% CI 0.32-0.75, p < 0.001) and frailty (OR  0.53, 95% CI 0.35-0.80, p = 0.003). Our findings point to the necessity for active screening prevalence and risk factors for pre-frailty (26.2%) and frailty (38.5%) in adult HD patients of all ages. Pre-frailty and frailty among HD patients are associated with lower psychological resilience and a higher likelihood of using negative coping mechanisms.

Indexed as

FrailtyRenal DialysisAdultAgedAged, 80 and overChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrevalenceResilience, PsychologicalRisk FactorsSurveys and QuestionnairesAssociationChinaFrailtyHemodialysisMedical coping modesPsychological resilienceRisk factors

Identifiers

PMID39730458
PMCPMC11680988

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.