Observational studyBMJ open2025
Validation of the Clinical Frailty Scale for predicting 90-day mortality in hospitalised older adults screened as at risk of nearing the end of life in Queensland, Australia: a multisite observational study.
Observational study in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Development of a population-level frfailty index using Quebec administrative data: a Canadian retrospective study.BMJ open · 2026Observational
- Observational
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe Clinical Frailty Scale is an ordinal scale from 1 (very fit) to 9 (terminally ill) commonly used to assess frailty in older patients. It is simple for clinicians to apply and can help identify patients who may benefit from discussions around end-of-life care. We externally validated the Scale to assess its performance for predicting 90-day mortality in a cohort of admitted older patients who had screened positive for being at risk of nearing the end of life.
methodsWe used data from a randomised controlled trial assessing a tailored feedback loop for reducing non-beneficial care. Our study included patients aged 75 and above admitted between May 2020 and June 2021 from 3 Australian hospitals. We assessed whether the Scale could be used in a frail population to identify patients who were at risk of short-term mortality. Predictive performance was assessed using the c-statistic, smoothed calibration curves and decision curves. Models were tested for coefficient stability.
resultsOur dataset contained 4639 patients and 956 deaths within 90 days. The Clinical Frailty Scale had a c-statistic of 0.62 (95% CI 0.60 to 0.64) or 0.63 (95% CI 0.61 to 0.65) by adding age and transforming the Scale using a cubic spline. Risks were underestimated without a non-linear transformation as scores of 8 and 9 had a higher risk that diverged from a linear association. The net benefit of using the tool was greatest between 5 and 8 on the Scale.
conclusionsThe utility of the Clinical Frailty Scale may be as a flag to encourage clinicians to become more comfortable with discussing ageing and death, rather than as a highly discriminating model to classify patients as high risk or low risk. Statistical uncertainty over mortality should not be a barrier to initiating end-of-life care discussions with frail older patients.
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