Evidence map›Paper›PMID 30649703›Full record

ArticleEuropean journal of epidemiology2019

Causal criteria: time has come for a revision.

Jørn Olsen, Uffe Juul Jensen

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In one paragraph

Article in European journal of epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Observational
  6. Article
  7. Article
  8. Article
  9. Article
  10. Methods for Evaluating Causality in Observational Studies.Deutsches Arzteblatt international · 2020
    Article
  11. The long and winding road to causality.European journal of epidemiology · 2019
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Jørn OlsenDepartment of Clinical Epidemiology, Aarhus University Hospital, Olof Palmes Alle 43-45, 8200, Aarhus N, Denmark. jo@ph.au.dk.ORCID http://orcid.org/0000-0001-7462-2740
Uffe Juul JensenDepartment of Philosophy and History of Ideas, School of Culture and Society, Aarhus University, Building 1465, Jens Chr. Skous Vej 7, 8000, Aarhus C, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epidemiologists study associations but they are usually interested in causation that could lead to disease prevention. Experience show, however, that many of the associations we identify are not the causes we take an interest in (correlation is not causation). In order to proper translate association into causes, a set of causal criteria was developed 50-60 years ago and they became important tools guiding this translational process (sometimes correlation is causation). Best known of these are the Bradford Hill 'criteria'. In these last 50 years, epidemiologic theory and infrastructure have advanced rapidly without changes in these causal criteria. We think time has come to revisit the 'old' criteria to see which ones we should keep and which ones should be taken out or be replaced by new measures of association. Robustness of these criteria in attempts to make the association go away should have high priority. A group of renowned internationally recognized researchers should have this task. Since classifying associations as causes is often done in order to reduce or eliminate the exposures of concern results from conditional outcome research should also be used. We therefore suggest to add a 'consequence' criterion. We argue that a consequence criterion that provides a framework for assessing or prescribing action worthy or right in social contexts is needed. A consequence criterion will also influence how strict our causal criteria need to be before leading to action and will help in separating the 'causal discussion' and the discussion on what to do about it. A consequence criterion will be a tool in handling dilemmas over values (as social solidarity, fairness, autonomy). It will have implications for the interpretation and use of the procedural criteria of causality. Establishing interconnected procedural and consequence criteria should be a task for institutions representing and being recognized by experts, civil society and the state.

Indexed as

CausalityEpidemiologic MethodsHumansCausationCriteriaHillPreventionTranslational research

Identifiers

What OpenQuestion holds

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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.