Evidence map›Paper›PMID 28130320›Full record

ArticleInternational journal of epidemiology2016

Commentary: The formal approach to quantitative causal inference in epidemiology: misguided or misrepresented?

Rhian M Daniel, Bianca L De Stavola, Stijn Vansteelandt

Abstract readComment
In one paragraph

Article in International journal of epidemiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Complex systems models for causal inference in social epidemiology.Journal of epidemiology and community health · 2021
    Article
  7. Article
  8. Estimating the Effect of Healthcare-Associated Infections on Excess Length of Hospital Stay Using Inverse Probability-Weighted Survival Curves.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2020
    Article
  9. Article
  10. Review
  11. Review
  12. Post-Modern Epidemiology: When Methods Meet Matter.American journal of epidemiology · 2019
    Article
  13. Article
  14. Causal criteria: time has come for a revision.European journal of epidemiology · 2019
    Article
  15. Article
  16. Article
  17. Article
  18. Epidemiology at a time for unity.International journal of epidemiology · 2018
    Article
  19. Article
  20. Epidemiology in wonderland: Big Data and precision medicine.European journal of epidemiology · 2018
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Rhian M DanielLSHTM Centre for Statistical Methodology and Medical Statistics Department, London School of Hygiene and Tropical Medicine, London, UK.
Bianca L De StavolaLSHTM Centre for Statistical Methodology and Medical Statistics Department, London School of Hygiene and Tropical Medicine, London, UK.
Stijn VansteelandtDepartment of Applied Mathematics, Computer Sciences and Statistics, Ghent University, Ghent, Belgium.

Funding

Wellcome TrustWellcome Trust 097834/Z/11/BWellcome Trust 107617/Z/15/Z
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

CausalityModels, StatisticalEpidemiologyHumans

Identifiers

PMID28130320
PMCPMC5841837

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.