Evidence map›Paper›PMID 42251537›Full record

ArticleInternal medicine journal2026

Accuracy of clinician perceptions in estimating patient survival in general medicine.

Kerman Singh Kahlon, Geoffrey Shaw, Chris Frampton, Tom J Cawood

Abstract read
In one paragraph

Article in Internal medicine journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

4 authors.

Kerman Singh KahlonDepartment of Acute General Medicine, Christchurch Hospital, Christchurch, New Zealand.ORCID https://orcid.org/0009-0007-6941-9503
Geoffrey ShawIntensive Care Department, Christchurch Hospital, Christchurch, New Zealand.
Chris FramptonDepartment of Medicine, University of Otago, Christchurch, New Zealand.
Tom J CawoodDepartment of Acute General Medicine, Christchurch Hospital, Christchurch, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients and families often rely on clinicians' predictions of life expectancy to make critical treatment and personal decisions.

aimTo evaluate the accuracy and risk intelligence of clinicians in predicting 1-year survival of general medicine patients after hospital discharge.

methodsDoctors, nurses, allied health professionals and medical students completed 125 questionnaires (70% response rate) distributed in the intensive care unit (ICU) and at a medical grand round at Christchurch Hospital. Survival estimates for four case vignettes were compared to an evidence-based survival score (EBSS) derived from over 120 000 local hospital discharges. Accuracy was defined as estimates within ±10% and ±20% of the EBSS. Confidence was assessed based on the reported range for each estimate.

resultsMedian survival estimates were widely variable and frequently underestimated the EBSS, with 27% and 48% of estimates falling within ±10% and ±20% of the EBSS respectively. Confidence was moderate (median range ±15%), although 52% of estimates were outside ±20% of the EBSS. No significant differences in accuracy were observed between ICU and general medicine respondents, doctors and other healthcare professionals, or senior and junior doctors.

conclusionsClinician estimates of 1-year survival in vignette-based scenarios varied widely and differed from model-based estimates. These findings highlight variability in prognostic estimation and support the potential role of evidence-based tools to complement clinical judgement.

Indexed as

Attitude of Health PersonnelClinical CompetenceGeneral PracticeLife ExpectancyPerceptionPhysiciansAdultFemaleHumansIntensive Care UnitsMalePrognosisSurveys and Questionnairesclinicianconfidenceestimatemedicalsurvival

Identifiers

PMID42251537
PMCPMC13547910

What OpenQuestion holds

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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.