Evidence map›Paper›PMID 29426294›Full record

ArticleBMC cancer2018

Factors associated with breast cancer recurrences or mortality and dynamic prediction of death using history of cancer recurrences: the French E3N cohort.

Alexandre Lafourcade, Mathilde His, Laura Baglietto, Marie-Christine Boutron-Ruault, Laure Dossus, Virginie Rondeau

Abstract read
In one paragraph

Article in BMC cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed, 4 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

72 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  9. ELOVL5 Regulates Ferroptosis in Breast Cancer Cells.Doklady. Biochemistry and biophysics · 2025
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12 more citing papers are in PubMed but not listed here.

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

6 authors.

Alexandre LafourcadeResearch Center Inserm, U1219, Bordeaux, France.
Mathilde HisCESP Generations and Health Team, Paris-Saclay University, Paris-Sud Univ, UVSQ, INSERM, Villejuif, France.
Laura BagliettoCESP Generations and Health Team, Paris-Saclay University, Paris-Sud Univ, UVSQ, INSERM, Villejuif, France.
Marie-Christine Boutron-RuaultCESP Generations and Health Team, Paris-Saclay University, Paris-Sud Univ, UVSQ, INSERM, Villejuif, France.
Laure DossusNutrition and Metabolism Section, International Agency for Research on Cancer, Lyon, France.
Virginie RondeauResearch Center Inserm, U1219, Bordeaux, France. Virginie.Rondeau@inserm.fr.

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundIn addition to tumor characteristics and lifestyle factors, cancer relapses are often related to the risk of death but have not been jointly studied. We investigate the prognostic factors of recurrent events and death after a diagnosis of breast cancer and predict individual deaths including a history of recurrences.

methodsThe E3N (Etude Epidémiologique auprès de Femmes de la Mutuelle Générale de l'Education Nationale) study is a prospective cohort study that was initiated in 1990 to investigate factors associated with the most common types of cancer. Overall survival and three types of recurrent events were considered: locoregional recurrence, metastasis, and second primary breast cancer. Recurrent events and death were analyzed using a joint frailty model.

resultsThe analysis included 4926 women from the E3N cohort diagnosed with a first primary invasive breast cancer between June 1990 and June 2008; during the follow-up, 1334 cases had a recurrence (median time of follow-up is 7.2 years) and 469 women died. Cases with high grade, large tumor size, axillary nodal involvement, and negative estrogen and progesterone receptors had a higher risk of recurrence or death. Furthermore, smoking increased the risk of relapse. For cases with a medium risk profile in terms of tumor characteristics and lifestyle factors, the probability of dying between 5 and 10 years after diagnosis was 6, 20 and 36% for 0, 1 or 2 recurrences within the first 5 years after diagnosis, respectively.

conclusionsOur study showed the importance of considering baseline lifestyle characteristics and history of relapses to dynamically predict the risk of death in breast cancer cases. Medical experience coupled with an estimate of a patient's survival probability that considers all available information for this patient would enable physicians to make better informed decisions regarding their actions and thus improve clinical output.

Indexed as

AdultAgedBreast NeoplasmsCohort StudiesFemaleFranceHumansLife StyleMiddle AgedNeoplasm Recurrence, LocalPrognosisRisk FactorsBreast cancerDeathE3N cohortJoint frailty modelPrognostic factorsRecurrences

Identifiers

PMID29426294
PMCPMC5807734

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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.