Evidence map›Paper›PMID 33340033›Full record

ArticleNature medicine2021

Difficult trade-offs in response to COVID-19: the case for open and inclusive decision making.

Ole F Norheim, Joelle M Abi-Rached, Liam Kofi Bright, Kristine Bærøe, Octávio L M Ferraz, Siri Gloppen, Alex Voorhoeve

Abstract read
PubMed Publisher
In one paragraph

Article in Nature medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

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

  1. Pooled it
  2. Review
  3. Article
  4. Informed decisions about public health and social measures.Health research policy and systems · 2025
    Review
  5. Promoting informed health choices: the long and winding road.Journal of the Royal Society of Medicine · 2025
    Article
  6. Article
  7. COVID-19 advocacy bias in theBMJ open quality · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Good democratic governance can combat COVID-19 - excess mortality analysis.International journal of disaster risk reduction : IJDRR · 2022
    Article
  20. 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

7 authors.

Ole F NorheimBergen Centre for Ethics and Priority Setting, Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway. ole.norheim@uib.no.ORCID http://orcid.org/0000-0002-5748-5956
Joelle M Abi-RachedDepartment of Geography and Territories, École Normale Supérieure, Paris, France.
Liam Kofi BrightDepartment of Philosophy, Logic, and Scientific Method, London School of Economics, London, UK.
Kristine BærøeBergen Centre for Ethics and Priority Setting, Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway.ORCID http://orcid.org/0000-0002-4626-7232
Octávio L M FerrazTransnational Law Institute, The Dickson Poon School of Law, King's College London, London, UK.
Siri GloppenCentre on Law and Social Transformation, Department of Comparative Politics, University of Bergen, Bergen, Norway.ORCID http://orcid.org/0000-0001-5745-8109
Alex VoorhoeveDepartment of Philosophy, Logic, and Scientific Method, London School of Economics, London, UK.ORCID http://orcid.org/0000-0003-3240-3835

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Decision MakingHealth PolicyCommunicable Disease ControlCOVID-19HumansPandemics

Identifiers

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.