Evidence map›Paper›PMID 35237352›Full record

ArticleTherapeutic advances in medical oncology2022

Clinicopathological characteristics and prognosis of breast cancer patients with isolated central nervous system metastases in the multicentre ESME database.

Marcela Carausu, Matthieu Carton, Luc Cabel, Anne Patsouris, Christelle Levy, Benjamin Verret, David Pasquier, Marc Debled, Anthony Gonçalves, Isabelle Desmoulins and 13 more

Registry-linked trialAbstract read
In one paragraph

Article in Therapeutic advances in medical oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03275311 (Epidemiological Strategy and Medical Economic), which is not on this map. Cited by 3 papers.

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

NCT03275311 recruitingnot on this map

Epidemiological Strategy and Medical Economic (ESME) Research Program / Academic Real World Database: Evolution of the Therapeutic Care in Metastatic Breast Cancer Across the French Comprehensive Cancer Centers From 2008

TypeobservationalSponsorUNICANCERRan2014 to 2027Enrolled42,000ConditionsMetastatic Breast Cancer
3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

23 authors.

Marcela CarausuDepartment of Medical Oncology, Institut Curie, Saint-Cloud, France.ORCID https://orcid.org/0000-0002-2414-2500
Matthieu CartonDepartment of Biostatistics, Institut Curie, Saint-Cloud, France.ORCID https://orcid.org/0000-0002-6793-3273
Luc CabelDepartment of Medical Oncology, Institut Curie, Saint-Cloud, France.
Anne PatsourisDepartment of Medical Oncology, Institut de Cancérologie de l'Ouest, Angers, France.
Christelle LevyDepartment of Medical Oncology, Centre François Baclesse, Caen, France.
Benjamin VerretDepartment of Medical Oncology, Institut Gustave Roussy, Villejuif, France.
David PasquierDepartment of Radiation Oncology, Centre Oscar Lambret, CRIStAL UMR CNRS 9189, Lille University, Lille, France.
Marc DebledDepartment of Medical Oncology, Institut Bergonié, Bordeaux, France.
Anthony GonçalvesDepartment of Medical Oncology, Institut Paoli-Calmettes, Marseille, France.
Isabelle DesmoulinsDepartment of Medical Oncology, Centre Georges-François Leclerc, Dijon, France.
Isabelle LecouillardDepartment of Radiation Oncology, Centre Eugène Marquis, Rennes, France.
Thomas BachelotDepartment of Medical Oncology, Centre Léon Bérard, Lyon, France.
Jean-Marc FerreroDepartment of Medical Oncology, Centre Antoine Lacassagne, Nice, France.
Jean-Christophe EymardDepartment of Medical Oncology, Institut de Cancérologie Jean-Godinot, Reims, France.
Marie-Ange Mouret-ReynierDepartment of Medical Oncology, Centre Jean Perrin, Clermont-Ferrand, France.
Michaël ChevrotUnicancer, Paris, France.
Eleonora De MaioDepartment of Medical Oncology, Institut Claudius Regaud - IUCT Oncopole, Toulouse, France.
Lionel UwerDepartment of Medical Oncology, Institut de Cancérologie de Lorraine, Vandœuvre-lès-Nancy, France.
Jean-Sébastien FrenelDepartment of Medical Oncology, Institut de Cancérologie de l'Ouest-René Gauducheau, Saint-Herblain, France.ORCID https://orcid.org/0000-0002-5273-0561
Marianne LeheurteurDepartment of Medical Oncology, Centre Henri Becquerel, Rouen, France.
Thierry PetitDepartment of Medical Oncology, Centre Paul Strauss, Strasbourg, France.
Amélie DarlixDepartment of Medical Oncology, Institut régional du Cancer de Montpellier (ICM), Institut de Génomique Fonctionnelle, INSERM U1191-CNRS UMR 5203, Université de Montpellier, Montpellier, France.
Laurence BozecDepartment of Medical Oncology, Institut Curie, 35 rue Dailly, 92210 Saint-Cloud, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs a result of progress in diagnosis and treatment, there is a growing prevalence of metastatic breast cancer (MBC) with isolated CNS metastases. This study describes the largest-to-date real-life cohort of this clinical setting and compares it to other clinical presentations.

methodsWe retrospectively analysed the French Epidemiological Strategy and Medical Economics (ESME) MBC database including patients who initiated treatment for MBC between 2008 and 2016. Progression-free survival (PFS) and overall survival (OS) were estimated using the Kaplan-Meier method. Descriptive statistics and multivariate Cox model were used.

resultsOf 22,266 patients, 647 (2.9%) and 929 (4.2%) patients had isolated first-site CNS metastases or combined with extra-CNS metastases, with longer OS for the group with isolated CNS metastases (16.9

conclusionsPatients with isolated CNS metastases at MBC diagnosis represent a distinct population for which the role of systemic therapy needs to be further investigated in prospective studies.

Indexed as

breast cancerCNS metastasesreal-world data

Identifiers

PMID35237352
PMCPMC8883300

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Registered trials

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.