ArticleKidney medicine2024
The Surprise Question in Hemodialysis, Frailty, Nutrition, Patient-reported Quality of Life, and All-Cause Mortality: The Osaka Dialysis Complication Study (ODCS).
Article in Kidney medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
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Who cites it
5 citing papers in PubMed.
- ABO Blood Types and Mortality in Patients Undergoing Hemodialysis.Kidney international reports · 2026Article
- Personalized Hemodialysis Approaches in Frail Older Individuals.Geriatrics (Basel, Switzerland) · 2026Review
- Comparison of diagnostic characteristics of four frailty screening tools in maintenance hemodialysis patients.International urology and nephrology · 2026Article
- Longitudinal change in thigh muscle cross-sectional area in association with hospitalization among patients undergoing hemodialysis: the Osaka Dialysis Complication Study (ODCS).Clinical and experimental nephrology · 2026Observational
- Estimated T50 calciprotein crystallization test in patients undergoing hemodialysis: Osaka Dialysis Complication Study (ODCS).Clinical and experimental nephrology · 2025Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Rationale & Objective: A response "no" (SQ-No) to the surprise question (SQ) of whether a clinician would be surprised if a dialysis patient died in the next 6 months is associated with a higher risk of all-cause death. It is uncertain what domains are intuitively assessed with the SQ. We hypothesized that the SQ would assess the patient's frailty, malnutrition, or patient-perceived health-related quality of life in a cohort of patients on maintenance hemodialysis. Study Design: Cohort study. Setting & Participants: A multicenter study including 994 patients on maintenance hemodialysis in Japan. Predictors: (1) SQ answered by nurses; (2) frailty by modified Cardiovascular Health Study criteria; (3) malnutrition as evaluated by Geriatric Nutritional Risk Index (GNRI); and (4) patient-perceived health-related quality of life examined by the 36-Item Short Form Health Survey (SF-36) physical component summary (PCS). Outcomes: All-cause mortality. Analytical Approach: Cox proportional hazard models. Results: Median age and dialysis vintage were 66 and 5.9 years, respectively, 35.8% were women, and 39.6% had diabetic kidney disease. The prevalence of SQ-No and frailty was 19.7% and 45.9%. Median GNRI and SF-36 PCS scores were 96.3 and 36.9, respectively. During the 5-year follow-up, 247 patients died. SQ-No, being frail, low GNRI, and low SF-36 PCS were each significant predictors of a higher risk for mortality independent of potential confounders. SQ-No remained a significant predictor after further adjustment for frailty or GNRI, but SQ-No was no longer significant when adjusted for SF-36 PCS. Limitations: We did not assess the agreement of responses to the SQ between different raters. Conclusions: The predictive ability of the SQ was closely related to SF-36 PCS in hemodialysis patients. Nurses' answer to the SQ appears to assess the physical domain of patient-perceived health-related quality of life rather than objectively assessed frailty or malnutrition.
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