Evidence map›Paper›PMID 32168791›Full record

ArticleInternational journal of environmental research and public health2020

Causal Evidence and Dispositions in Medicine and Public Health.

Elena Rocca, Rani Lill Anjum

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Randomized controlled trials as a source of evidence in rehabilitation: a critical analysis.European journal of physical and rehabilitation medicine · 2024
    Article
  3. Article
  4. The Value of Case Reports for Graduate Medical Education.Journal of graduate medical education · 2022
    Article
  5. The power of small data for personalized cancer care.Asia-Pacific journal of oncology nursing · 2022
    Article
  6. Article
  7. Article
  8. Review
  9. 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

2 authors.

Elena RoccaNorwegian University of Life Sciences, Centre for Applied Philosophy of Science, 1430 Ås, Norway.ORCID 0000-0002-5222-0238
Rani Lill AnjumNorwegian University of Life Sciences, Centre for Applied Philosophy of Science, 1430 Ås, Norway.ORCID 0000-0002-0632-444X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the introduction of evidence-based medicine, there have been discussions about the epistemic primacy of randomised controlled trials (RCTs) for establishing causality in medicine and public health. A growing movement within philosophy of science calls instead for evidential pluralism: that we need more than one single method to investigate health outcomes. How should such evidential pluralism look in practice? How useful are the various methods available for causal inquiry? Further, how should different types of causal evidence be evaluated? This paper proposes a constructive answer and introduces a framework aimed at supporting scientists in developing appropriate methodological approaches for exploring causality. We start from the philosophical tradition that highlights intrinsic properties (dispositions, causal powers or capacities) as essential features of causality. This abstract idea has wide methodological implications. The paper explains how different methods, such as lab experiments, case studies, N-of-1 trials, case control studies, cohort studies, RCTs and patient narratives, all have some strengths and some limitations for picking out intrinsic causal properties. We explain why considering philosophy of causality is crucial for evaluating causality in the health sciences. In our proposal, we combine the various methods in a temporal process, which could then take us from an observed phenomenon (e.g., a correlation) to a causal hypothesis and, finally, to improved theoretical knowledge.

Indexed as

CausalityEvidence-Based MedicinePublic HealthHumansKnowledgeRandomized Controlled Trials as TopicResearch Designcausalitydispositionsevidential pluralismhealth outcomesmedicinepharmacovigilancepredictionspublic healthresearch methods

Identifiers

PMID32168791
PMCPMC7142708

What OpenQuestion holds

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Registered trials

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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.