Evidence map›Paper›PMID 31076463›Full record

ArticleBMJ supportive & palliative care2022

Imminent death: clinician certainty and accuracy of prognostic predictions.

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

Abstract read
In one paragraph

Article in BMJ supportive & palliative care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Temporal convolutional networks allow early prediction of events in critical care.Journal of the American Medical Informatics Association : JAMIA · 2020
    Article
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

6 authors.

Nicola WhiteDivision of Psychiatry, Marie Curie Palliative Care Research Departent, University College London, London, UK n.g.white@ucl.ac.uk.ORCID http://orcid.org/0000-0002-7438-0072
Fiona ReidDepartment of Primary Care & Public Health Sciences, King's College London, London, UK.
Victoria VickerstaffDivision of Psychiatry, University College London, London, UK.
Priscilla HarriesFaculty of Health, Social Care and Education, Kingston University & St Georges, University of London, London, UK.
Christopher TomlinsonBioinformatics Data Science Group, Centre for Bioinformatics, Imperial College London, London, UK.
Patrick StoneMarie Curie Palliative Care Research Department, University College London, London, UK.ORCID http://orcid.org/0000-0002-5765-9047

Funding

Marie Curie MCCC-FCH-18-UMarie Curie MCCC-FCO-11-UMarie Curie MCCC-FPO-16-U
6 · The paper itself

Abstract

objectivesTo determine the accuracy of predictions of dying at different cut-off thresholds and to acknowledge the extent of clinical uncertainty.

designSecondary analysis of data from a prospective cohort study.

settingAn online prognostic test, accessible by eligible participants across the UK.

participantsEligible participants were members of the Association of Palliative Medicine. 99/166 completed the test (60%), resulting in 1980 estimates (99 participants × 20 summaries).

main outcome measuresThe probability of death occurring within 72 hours (0% certain survival-100% certain death) for 20 patient summaries. The estimates were analysed using five different thresholds: 50/50%, 40/60%, 30/70%, 20/80% and 10/90%, with percentage values between these extremes being regarded as 'indeterminate'. The positive predictive value (PPV), negative predictive value (NPV) and the number of indeterminate cases were calculated for each cut-off.

resultsUsing a <50% versus >50% threshold produced a PPV of 62%, an NPV of 74% and 5% indeterminate cases. When the threshold was changed to ≤10% vs ≥90%, the PPV and NPV increased to 75% and 88%, respectively, at the expense of an increase of indeterminate cases up to 62%.

conclusionWhen doctors assign a very high (≥90%) or very low (≤10%) probability of imminent death, their prognostic accuracy is improved; however, this increases the number of 'indeterminate' cases. This suggests that clinical predictions may continue to have a role for routine prognostication but that other approaches (such as the use of prognostic scores) may be required for those cases where doctors' estimates are indeterminate.

Indexed as

Clinical Decision-MakingPalliative MedicineHumansPrognosisProspective StudiesUncertaintyclinical decisionspalliative careprognosis

Identifiers

PMID31076463
PMCPMC9726947

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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.