Evidence map›Paper›PMID 34254231›Full record

ArticleEuropean journal of epidemiology2022

The impact of left truncation of exposure in environmental case-control studies: evidence from breast cancer risk associated with airborne dioxin.

Yue Zhai, Amina Amadou, Catherine Mercier, Delphine Praud, Elodie Faure, Jean Iwaz, Gianluca Severi, Francesca Romana Mancini, Thomas Coudon, Béatrice Fervers and 1 more

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In one paragraph

Article in European journal of epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
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

11 authors at 2 institutions in 3 countries.

Yue Zhai *Département Prévention Cancer Environnement, Centre Léon Bérard, Lyon, France.
Amina Amadou *Département Prévention Cancer Environnement, Centre Léon Bérard, Lyon, France.
Catherine MercierService de Biostatistique-Bioinformatique, Pôle Santé Publique, Hospices Civils de Lyon, Lyon, France.
Delphine PraudDépartement Prévention Cancer Environnement, Centre Léon Bérard, Lyon, France.
Elodie FaureCentre de Recherche en Epidémiologie Et Santé Des Populations (CESP, Inserm U1018), Facultés de Médecine, Université Paris-Saclay, UPS UVSQ, Gustave Roussy, Villejuif, France.
Jean IwazService de Biostatistique-Bioinformatique, Pôle Santé Publique, Hospices Civils de Lyon, Lyon, France.
Gianluca SeveriCentre de Recherche en Epidémiologie Et Santé Des Populations (CESP, Inserm U1018), Facultés de Médecine, Université Paris-Saclay, UPS UVSQ, Gustave Roussy, Villejuif, France.
Francesca Romana ManciniCentre de Recherche en Epidémiologie Et Santé Des Populations (CESP, Inserm U1018), Facultés de Médecine, Université Paris-Saclay, UPS UVSQ, Gustave Roussy, Villejuif, France.
Thomas CoudonDépartement Prévention Cancer Environnement, Centre Léon Bérard, Lyon, France.
Béatrice Fervers *Département Prévention Cancer Environnement, Centre Léon Bérard, Lyon, France. beatrice.fervers@lyon.unicancer.fr.ORCID http://orcid.org/0000-0003-3498-6499
Pascal Roy *Service de Biostatistique-Bioinformatique, Pôle Santé Publique, Hospices Civils de Lyon, Lyon, France.
Inserm · FRUniversité Claude Bernard Lyon 1 · FR

Funding

Agence de l'environnement et de la maîtrise de l'énergie 1306C0031Fondation ARC pour la Recherche sur le Cancer INCa-DGOS-INSERM_12563
6 · The paper itself

Abstract

In epidemiology, left-truncated data may bias exposure effect estimates. We analyzed the bias induced by left truncation in estimating breast cancer risk associated with exposure to airborne dioxins. Simulations were run with exposure estimates from a Geographic Information System (GIS)-based metric and considered two hypotheses for historical exposure, three scenarios for intra-individual correlation of annual exposures, and three exposure-effect models. For each correlation/model combination, 500 nested matched case-control studies were simulated and data fitted using a conditional logistic regression model. Bias magnitude was assessed by estimated odds-ratios (ORs) versus theoretical relative risks (TRRs) comparisons. With strong intra-individual correlation and continuous exposure, left truncation overestimated the Beta parameter associated with cumulative dioxin exposure. Versus a theoretical Beta of 4.17, the estimated mean Beta (5%; 95%) was 73.2 (67.7; 78.8) with left-truncated exposure and 4.37 (4.05; 4.66) with lifetime exposure. With exposure categorized in quintiles, the TRR was 2.0, the estimated OR

Indexed as

Breast NeoplasmsDioxinsCase-Control StudiesFemaleHumansOdds RatioRiskDioxinsBreast cancerEnvironmental exposureEstimation biasLeft truncationSimulation study

Identifiers

PMID34254231
OpenAlexW3180527094

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.