ArticleThe journal of nursing research : JNR2026
Influence of Social Support and Quality of Life on Mortality Among Patients Undergoing Hemodialysis.
Article in The journal of nursing research : JNR, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Perceived Disease Burden and Social Support Among Adults on Hemodialysis in Northern Colombia: A Cross-Sectional Study.Nursing reports (Pavia, Italy) · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
backgroundAlthough quality of life and social support are widely recognized as positive factors promoting health, few follow-up studies analyzing the predictive significance of social support and quality of life on the prognosis of patients undergoing maintenance hemodialysis have been published. PURPOSE: This study was designed to investigate the predictive value of social support and quality of life on all-cause mortality in patients undergoing maintenance hemodialysis.
methodsThe Social Support Rating Scale and Kidney Disease Quality of Life Short-Form 1.3 were used to evaluate social support and quality of life, respectively. Cox analysis was used to analyze the predictive value of social support and quality of life on all-cause mortality.
resultsOver the course of this 3-year follow-up study, all-cause mortality was 30.93%. In terms of quality of life, significant between-group differences were found for two indices in the physical component summary (physical functioning and role-physical), three indices in the mental component summary (social functioning, mental health, and vitality), and two indices in the kidney disease domain (effect of kidney disease and patient satisfaction). Moreover, the surviving patient group reported higher scores on the physical component summary, mental component summary, and 36-item short-form health survey than the deceased patient group. In terms of social support, the surviving patient group earned significantly higher scores for utilization of social support and the social support rating scale total score than the deceased patient group. Based on Cox proportional hazards model results, 36-item short-form health survey and social support rating scale scores were significantly predictive of all-cause mortality. CONCLUSIONS/IMPLICATIONS FOR PRACTICE: The findings of this study demonstrate the predictive value of social support and quality of life for all-cause mortality in patients undergoing hemodialysis. Healthcare providers should consider addressing social support and quality of life in the care of patients on hemodialysis to improve outcomes and enhance overall well-being in these individuals.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.