Evidence map›Paper›PMID 32201369›Full record

ArticleBMJ supportive & palliative care2020

Specialist palliative medicine physicians and nurses accuracy at predicting imminent death (within 72 hours): a short report.

Nicola White, Fiona Reid, Victoria Vickerstaff, Priscilla Harries, Patrick Stone

Abstract read
In one paragraph

Article in BMJ supportive & palliative care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  12. Paved With Good Intentions: Hospital Visitation Restrictions in the Age of Coronavirus Disease 2019.Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies · 2020
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4 · The record

Corrections and comments

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

5 authors.

Nicola WhiteMarie Curie Palliative Care Research Department, University College London, London, UK n.g.white@ucl.ac.uk.ORCID http://orcid.org/0000-0002-7438-0072
Fiona ReidSchool of Population Health & Environmental Sciences, King's College London, London, UK.
Victoria VickerstaffMarie Curie Palliative Care Research Department, University College London, London, UK.ORCID http://orcid.org/0000-0002-3119-670X
Priscilla HarriesFaculty of Health, Social Care and Education, Kingston University & St Georges, University of London, London, UK.ORCID http://orcid.org/0000-0003-3123-6799
Patrick StoneMarie Curie Palliative Care Research Department, University College London, London, UK.ORCID http://orcid.org/0000-0002-5765-9047

Funding

Marie Curie MCCC-FCO-11-U
6 · The paper itself

Abstract

objectivesResearch suggests that clinicians are not very accurate at prognosticating in palliative care. The 'horizon effect' suggests that accuracy ought to be better when the survival of patients is shorter. The aim of this study was to determine the accuracy of specialist palliative care clinicians at identifying which patients are likely to die within 72 hours.

designIn a secondary data analysis of a prospective observational study, specialist palliative care doctors and nurses (in a hospice and a hospital palliative care team) provided survival predictions (yes/no/uncertain) about which patients would die within 72 hours.

resultsSurvival predictions were obtained for 49 patients. A prediction from a nurse was obtained for 37/49 patients. A prediction from a doctor was obtained for 46/49 patients. In total, 23 (47%)/49 patients actually died within 72 hours of assessment. Nurses accurately predicted the outcome in 27 (73%)/37 cases. Doctors accurately predicted the outcome in 30 (65%)/46 cases. When comparing predictions given on the same patients (27 [55%]/49), nurses were slightly better at recognising imminent death than doctors (positive predictive value (the proportion of patients who died when the clinician predicted death)=79% vs 60%, respectively). The difference in c-statistics (nurses 0.82 vs doctors 0.63) was not significant (p=0.13).

conclusionEven when patients are in the terminal phase and close to death, clinicians are not very good at predicting how much longer they will survive. Further research is warranted to improve prognostication in this population.

Indexed as

AdultClinical CompetenceDeathFemaleForecastingHumansMaleMiddle AgedNurse SpecialistsPalliative MedicinePhysiciansPrognosisProspective Studiesprognosisterminal care

Identifiers

PMID32201369
PMCPMC7286035

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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.