ArticleDiagnostics (Basel, Switzerland)2020
Association of SARC-F Questionnaire and Mortality in Prevalent Hemodialysis Patients.
Article in Diagnostics (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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
11 citing papers in PubMed, 17 citations in OpenAlex.
- Effect of intradialytic dietary support on nutritional status, muscle strength, and clinical markers in patients on hemodialysis: a cross-sectional study.BMC nephrology · 2025Article
- Comprehensive Insights into Sarcopenia in Dialysis Patients: Mechanisms, Assessment, and Therapeutic Approaches.Medicina (Kaunas, Lithuania) · 2025Review
- Functional Dependency as a Marker for Positive SARC-F Screen among Older Persons at the Emergency Department.Annals of geriatric medicine and research · 2024Article
- Performance of SARC-F and SARC-CalF scores to predict risk of mortality in hemodialysis patients: a cohort study.Scientific reports · 2024Article
- A Comparative Analysis of the SARC-F Questionnaire and the Malnutrition-Inflammation Score for Sarcopenia Risk Assessment and Negative Outcome Probability in Chronic Hemodialysis Patients.Journal of clinical medicine · 2024Article
- Design and methodology of the SARCopenia trajectories and associations with adverse clinical outcomes in patients on HemoDialysis: the SARC-HD study.BMC nephrology · 2023Article
- Risk of sarcopenia, fear of COVID-19, anxiety, depression and physical activity levels: Associations across patients on hemodialysis within Greece.Journal of frailty, sarcopenia and falls · 2023Article
- Simplified discriminant parameters for sarcopenia among patients undergoing haemodialysis.Journal of cachexia, sarcopenia and muscle · 2022Article
- A Comparison of SARC-F, Calf Circumference, and Their Combination for Sarcopenia Screening among Patients Undergoing Peritoneal Dialysis.Nutrients · 2022Article
- A Growth Differentiation Factor 15-Based Risk Score Model to Predict Mortality in Hemodialysis Patients.Diagnostics (Basel, Switzerland) · 2021Article
- SARC-F at the Emergency Department: Diagnostic Performance for Frailty and Predictive Performance for Reattendances and Acute Hospitalizations.The journal of nutrition, health & aging · 2021Article
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 at 3 institutions in 1 country.
Funding
Abstract
Sarcopenia is common in patients undergoing chronic hemodialysis, which leads to poor outcomes. SARC-F (sluggishness, assistance in walking, rising from a chair, climb stairs, falls), a self-report questionnaire, is recommended as an easily applied tool for screening sarcopenia in older people. However, there are limited data regarding its use in patients undergoing chronic hemodialysis. Therefore, we aimed to evaluate the association between SARC-F and mortality in these patients. SARC-F questionnaire was applied in 271 hemodialysis patients (mean age 64.4 ± 14.3 years) at baseline. The association between SARC-F and mortality during a 24-month follow-up was analyzed. During this follow-up period, 40 patients (14.8%) died. The discriminative power of SARC-F score for predicting mortality was 0.716 (95% confidence interval (CI) = 0.659-0.769;
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.