Evidence map›Paper›PMID 34057458›Full record

ReviewBritish medical bulletin2021

Ethics of ICU triage during COVID-19.

Rasita Vinay, Holger Baumann, Nikola Biller-Andorno

Abstract readReview
In one paragraph

Review in British medical bulletin, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. How Will AI Shape the Future of Pandemic Response? Early Clues From Data Analytics.Risk analysis : an official publication of the Society for Risk Analysis · 2025
    Review
  7. Article
  8. Review
  9. Review
  10. Assessing outcomes in traumatic brain injury: Helsinki score versus Glasgow coma scale.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2024
    Article
  11. Article
  12. Article
  13. Review
  14. Observational
  15. Article
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  20. Review
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

3 authors.

Rasita VinayInstitute of Biomedical Ethics and History of Medicine, Faculty of Medicine, University of Zurich, Winterthurerstrasse 30, 8006 Zurich, Switzerland.
Holger BaumannInstitute of Biomedical Ethics and History of Medicine, Faculty of Medicine, University of Zurich, Winterthurerstrasse 30, 8006 Zurich, Switzerland.
Nikola Biller-AndornoInstitute of Biomedical Ethics and History of Medicine, Faculty of Medicine, University of Zurich, Winterthurerstrasse 30, 8006 Zurich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe coronavirus disease 2019 pandemic has placed intensive care units (ICU) triage at the center of bioethical discussions. National and international triage guidelines emerged from professional and governmental bodies and have led to controversial discussions about which criteria-e.g. medical prognosis, age, life-expectancy or quality of life-are ethically acceptable. The paper presents the main points of agreement and disagreement in triage protocols and reviews the ethical debate surrounding them. SOURCES OF DATA: Published articles, news articles, book chapters, ICU triage guidelines set out by professional societies and health authorities. AREAS OF AGREEMENT: Points of agreement in the guidelines that are widely supported by ethical arguments are (i) to avoid using a first come, first served policy or quality-adjusted life-years and (ii) to rely on medical prognosis, maximizing lives saved, justice as fairness and non-discrimination. AREAS OF CONTROVERSY: Points of disagreement in existing guidelines and the ethics literature more broadly regard the use of exclusion criteria, the role of life expectancy, the prioritization of healthcare workers and the reassessment of triage decisions. GROWING POINTS: Improve outcome predictions, possibly aided by Artificial intelligence (AI); develop participatory approaches to drafting, assessing and revising triaging protocols; learn from experiences with implementation of guidelines with a view to continuously improve decision-making. AREAS TIMELY FOR DEVELOPING RESEARCH: Examine the universality vs. context-dependence of triaging principles and criteria; empirically test the appropriateness of triaging guidelines, including impact on vulnerable groups and risk of discrimination; study the potential and challenges of AI for outcome and preference prediction and decision-support.

Indexed as

Clinical ProtocolsCOVID-19Critical CareHumansTriageCOVID-19ethicsguidelinesICU triageresource allocation

Identifiers

PMID34057458
PMCPMC8195142

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.