Evidence map›Paper›PMID 26164615›Full record

ArticleEuropean journal of epidemiology2015

The current deconstruction of paradoxes: one sign of the ongoing methodological "revolution".

Miquel Porta, Paolo Vineis, Francisco Bolúmar

Abstract read
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In one paragraph

Article in European journal of epidemiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 7% of its field
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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Causality and exposome.European journal of epidemiology · 2025
    Article
  5. BMI and Mortality: The Diabetes-Obesity Paradox Examined in a Large US Cohort.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025
    Article
  6. Why Do Epidemiologic Studies Find an Inverse Association Between Intraprostatic Inflammation and Prostate Cancer: A Possible Role for Colliding Bias?Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2021
    Article
  7. Article
  8. Article
  9. Article
  10. Epidemiology at a time for unity.International journal of epidemiology · 2018
    Article
  11. 'The obesity paradox': a reconsideration of obesity and the risk of preterm birth.Journal of perinatology : official journal of the California Perinatal Association · 2017
    Article
  12. Cancer subtypes in aetiological research.European journal of epidemiology · 2017
    Article
  13. Article
  14. Article
  15. Article
  16. Communicating causality.European journal of epidemiology · 2015
    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

3 authors at 2 institutions in 4 countries.

Miquel PortaHospital del Mar Institute of Medical Research (IMIM), Universitat Autònoma de Barcelona, Carrer del Dr. Aiguader, 88, 08003, Barcelona, Catalonia, Spain. mporta@imim.es.
Paolo VineisMRC-PHE Centre for Environment and Health, School of Public Health, Imperial College, London, UK.
Francisco BolúmarCIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
City University of New York · USItalian institute for Genomic Medicine · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current deconstruction of paradoxes is one among several signs that a profound renewal of methods for clinical and epidemiological research is taking place; perhaps for some basic life sciences as well. The new methodological approaches have already deconstructed and explained long puzzling apparent paradoxes, including the (non-existent) benefits of obesity in diabetics, or of smoking in low birth weight. Achievements of the new methods also comprise the elucidation of the causal structure of long-disputed and highly complex questions, as Berkson's bias and Simpson's paradox, and clarifying reasons for deep controversies, as those on estrogens and endometrial cancer, or on adverse effects of hormone replacement therapy. These are signs that the new methods can go deeper and beyond the methods in current use. A major example of a highly relevant idea is: when we condition on a common effect of a pair of variables, then a spurious association between such pair is likely. The implications of these ideas are potentially vast. A substantial number of apparent paradoxes may simply be the result of collider biases, a source of selection bias that is common not just in epidemiologic research, but in many types of research in the health, life, and social sciences. The new approaches develop a new framework of concepts and methods, as collider, instrumental variables, d-separation, backdoor path and, notably, Directed Acyclic Graphs (DAGs). The current theoretical and methodological renewal-or, perhaps, "revolution"-may be changing deeply how clinical and epidemiological research is conceived and performed, how we assess the validity and relevance of findings, and how causal inferences are made. Clinical and basic researchers, among others, should get acquainted with DAGs and related concepts.

Indexed as

BiasBirth WeightCausalityConfounding Factors, EpidemiologicEpidemiologic Research DesignModels, StatisticalEpidemiologic StudiesHumansInfant, NewbornCausal inferenceClinical researchColliderDirected Acyclic Graphs (DAGs)MethodsParadox

Identifiers

PMID26164615
OpenAlexW995256264

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.