Evidence map›Paper›PMID 35681651›Full record

ArticleCancers2022

The French Early Breast Cancer Cohort (FRESH): A Resource for Breast Cancer Research and Evaluations of Oncology Practices Based on the French National Healthcare System Database (SNDS).

Elise Dumas, Lucie Laot, Florence Coussy, Beatriz Grandal Rejo, Eric Daoud, Enora Laas, Amyn Kassara, Alena Majdling, Rayan Kabirian, Floriane Jochum and 9 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.9field-weighted citation impact, top 12% 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

14 citing papers in PubMed, 18 citations in OpenAlex.

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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

19 authors at 6 institutions in 1 country.

Elise DumasResidual Tumor & Response to Treatment Laboratory, RT2Lab, Translational Research Department, INSERM, U932 Immunity and Cancer, 75005 Paris, France.ORCID 0000-0002-7877-719X
Lucie LaotDepartment of Surgical Oncology, Institut Curie, University of Paris, 75005 Paris, France.
Florence CoussyDepartment of Medical Oncology, Institut Curie, University of Paris, 75005 Paris, France.
Beatriz Grandal RejoResidual Tumor & Response to Treatment Laboratory, RT2Lab, Translational Research Department, INSERM, U932 Immunity and Cancer, 75005 Paris, France.
Eric DaoudResidual Tumor & Response to Treatment Laboratory, RT2Lab, Translational Research Department, INSERM, U932 Immunity and Cancer, 75005 Paris, France.ORCID 0000-0003-4556-0856
Enora LaasDepartment of Surgical Oncology, Institut Curie, University of Paris, 75005 Paris, France.
Amyn KassaraResidual Tumor & Response to Treatment Laboratory, RT2Lab, Translational Research Department, INSERM, U932 Immunity and Cancer, 75005 Paris, France.
Alena MajdlingCentre René Hughenin, Medical Oncology Department, 92210 Saint Cloud, France.
Rayan KabirianCentre René Hughenin, Medical Oncology Department, 92210 Saint Cloud, France.
Floriane JochumResidual Tumor & Response to Treatment Laboratory, RT2Lab, Translational Research Department, INSERM, U932 Immunity and Cancer, 75005 Paris, France.
Paul GougisResidual Tumor & Response to Treatment Laboratory, RT2Lab, Translational Research Department, INSERM, U932 Immunity and Cancer, 75005 Paris, France.
Sophie MichelDepartment of Surgical Oncology, Institut Curie, University of Paris, 75005 Paris, France.
Sophie HouzardSurvey Data Science and Assessment Division, French National Cancer Institute (Institut National du Cancer INCa), 92100 Boulogne-Billancourt, France.
Christine Le Bihan-BenjaminSurvey Data Science and Assessment Division, French National Cancer Institute (Institut National du Cancer INCa), 92100 Boulogne-Billancourt, France.ORCID 0000-0002-1868-9358
Philippe-Jean BousquetSurvey Data Science and Assessment Division, French National Cancer Institute (Institut National du Cancer INCa), 92100 Boulogne-Billancourt, France.ORCID 0000-0002-0217-5483
Judicaël HottonDepartment of Surgery, Institut Jean Godinot, 51100 Reims, France.
Chloé-Agathe AzencottINSERM, U900, 75005 Paris, France.ORCID 0000-0003-1003-301X
Fabien ReyalResidual Tumor & Response to Treatment Laboratory, RT2Lab, Translational Research Department, INSERM, U932 Immunity and Cancer, 75005 Paris, France.
Anne-Sophie HamyResidual Tumor & Response to Treatment Laboratory, RT2Lab, Translational Research Department, INSERM, U932 Immunity and Cancer, 75005 Paris, France.
Inserm · FRUniversité Paris Cité · FRHôpital René Huguenin · FRInstitut National du Cancer · FRInstitut Jean Godinot · FRInstitut national de recherche en sciences et technologies du numérique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreast cancer (BC) is the most frequent cancer and the leading cause of cancer-related death in women. The French National Cancer Institute has created a national cancer cohort to promote cancer research and improve our understanding of cancer using the National Health Data System (SNDS) and amalgamating all cancer sites. So far, no detailed separate data are available for early BC.

objectivesTo describe the creation of the French Early Breast Cancer Cohort (FRESH).

methodsAll French women aged 18 years or over, with early-stage BC newly diagnosed between 1 January 2011 and 31 December 2017, treated by surgery, and registered in the general health insurance coverage plan were included in the cohort. Patients with suspected locoregional or distant metastases at diagnosis were excluded. BC treatments (surgery, chemotherapy, targeted therapy, radiotherapy, and endocrine therapy), and diagnostic procedures (biopsy, cytology, and imaging) were extracted from hospital discharge reports, outpatient care notes, or pharmacy drug delivery data. The BC subtype was inferred from the treatments received.

resultsWe included 235,368 patients with early BC in the cohort (median age: 60 years). The BC subtype distribution was as follows: luminal (80.2%), triple-negative (TNBC, 9.5%);

conclusionsThe FRESH Cohort is an unprecedented population-based resource facilitating future large-scale real-life studies aiming to improve care pathways and quality of care for BC patients.

Indexed as

breast cancerFrench database introductionNational Health Data Systemnationwide population

Identifiers

PMID35681651
PMCPMC9179405
OpenAlexW4281828299

What OpenQuestion holds

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LicenceCC BY
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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.