Evidence map›Paper›PMID 29415671›Full record

ArticleBMC cancer2018

Trends in molecular subtypes of breast cancer: description of incidence rates between 2007 and 2012 from three French registries.

Marion Cortet, Aurélie Bertaut, Florence Molinié, Simona Bara, Françoise Beltjens, Charles Coutant, Patrick Arveux

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 18 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 3 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

18 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  3. Pooled it
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  12. Molecular subtypes as a prognostic breast cancer factor in women users of the São Paulo public health system, Brazil.Revista brasileira de epidemiologia = Brazilian journal of epidemiology · 2023
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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

7 authors.

Marion CortetDépartement d'oncologie chirurgicale, Georges-François Leclerc Cancer Centre, UNICANCER, 1 rue du Professeur Marion, 21000, Dijon, France. marion.cortet@chu-lyon.fr.ORCID 0000-0001-6770-7340
Aurélie BertautBreast and Gynaecologic Cancer Registry of Côte d'Or, Georges-François Leclerc Cancer Centre, UNICANCER, 1 rue du Professeur Marion, 21000, Dijon, France.
Florence MoliniéRegistre des Cancers de Loire-Atlantique, Centre Hospitalier Universitaire de Nantes, 50 route de Saint Sébastien, 44093, Nantes, France.
Simona BaraRegistre des Cancers de la Manche, Centre Hospitalier du Cotentin, 46 rue du Val de Saire, 50102, Cherbourg, France.
Françoise BeltjensDépartement de pathologie, Georges-François Leclerc Cancer Centre, UNICANCER, 1 rue du Professeur Marion, 21000, Dijon, France.
Charles CoutantDépartement d'oncologie chirurgicale, Georges-François Leclerc Cancer Centre, UNICANCER, 1 rue du Professeur Marion, 21000, Dijon, France.
Patrick ArveuxBreast and Gynaecologic Cancer Registry of Côte d'Or, Georges-François Leclerc Cancer Centre, UNICANCER, 1 rue du Professeur Marion, 21000, Dijon, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe incidence and incidence trends of breast cancer according to molecular subtype are unknown at a population level in France. The registry data enables this study and may give this information, that is crucial to describe and understand breast cancer epidemiology.

methodsWe estimated the incidence rates of breast cancer for each molecular subtype using data from three cancer registries in France for the period from 2007 to 2012. Molecular subtypes were defined with immunohistochemical data. Poisson models were estimated to modelize the course of breast cancer incidence and to test the trends.

resultsThe study included 12,040 patients diagnosed between 2007 and 2012 in the three administrative areas covered by the registries. There was no significant trends in the proportion of each molecular subtype year by year. The age distribution of incident cases was different depending on the molecular subtypes (p < 0.001). The course of incidence between 2007 and 2012 was also different depending on molecular subtype according to the multivariate Poisson model (p < 0.001).

conclusionThe description of incident cases of breast cancer according to molecular subtype at a population level showed differences in trends. The trends in incidence differed according to molecular subtype, and this should improve our understanding of overall changes in incidence. This analysis is important to plan screening and treatment resources at a population level.

Indexed as

AgedBreast NeoplasmsFemaleFranceHumansIncidenceMiddle AgedRegistriesBreast cancerIncidencePopulation data

Identifiers

PMID29415671
PMCPMC5804056

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.