Evidence map›Paper›PMID 31684919›Full record

ArticleBMC public health2019

From prospective clinical trial to reducing social inequalities in health: The DESSEIN trial, concept and design of a multidisciplinary study in precarious patients with breast cancer.

Charlotte Ngô, Aurélia Dinut, Audrey Bochaton, Hélène Charreire, Caroline Desprès, Sandrine Baffert, Fabrice Lécuru, Gilles Chatellier

Registry-linked trialAbstract readClinical Trial Protocol
In one paragraph

Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02948478 (Breast Cancer and Precariousness), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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.

NCT02948478 completednot on this map

Breast Cancer and Precariousness: Influence of Socio-demographic Inequalities in Cancer Stage at Diagnosis, Treatment Management and Rehabilitation in the Ile de France Area

TypeobservationalSponsorAssistance Publique - Hôpitaux de ParisRan2016 to 2021Enrolled936ConditionsBreast CancerArmsExposed, Non exposed
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Charlotte NgôCentre Expert Oncologie Gynécologique et Sénologie, Hôpital Européen Georges Pompidou, AP-HP, Paris, France. charlotte.ngo@aphp.fr.ORCID http://orcid.org/0000-0002-6225-8803
Aurélia DinutClinical Research Unit and CIC 1418 INSERM Hôpital Européen Georges Pompidou, AP-HP, Paris, France.
Audrey BochatonHealth Geography, Université Paris Nanterre (UPN), UMR7533 Ladyss, Nanterre, France.
Hélène CharreireUniversité Paris-Est, Lab'Urba, UPEC, Créteil, France.
Caroline DesprèsFaculté de Médecine, Université Paris-Descartes, Sorbonne Paris Cité, Paris, France.
Sandrine BaffertHealth Economist, Department of Health Economy, Cemka, Paris, France.
Fabrice LécuruCentre Expert Oncologie Gynécologique et Sénologie, Hôpital Européen Georges Pompidou, AP-HP, Paris, France.
Gilles ChatellierFaculté de Médecine, Université Paris-Descartes, Sorbonne Paris Cité, Paris, France.

Funding

INCA 2015-1-PL SHS-01
6 · The paper itself

Abstract

backgroundIn France during the last 15 years, precariousness among women has increased. In breast cancer, precariousness has been associated with an increase in mortality, but the links between precariousness, stage at diagnosis and care pathway are little explored. Our study aims to evaluate the impact of precariousness on care pathways, treatment and recovery phase according to a multidisciplinary analysis. METHODS AND

designComparative prospective observational multicenter study of exposed / unexposed category. Patients with breast cancer are recruited in the Ile de France area. Three scores are used to identify precarious patients. Precarious patients are matched to non-precarious patients by age group. Questionnaires are distributed to patients at different times of care. The main objective is to compare the stage of the disease at diagnosis between two groups. The secondary objectives are: comparison of socio-economic and geographical characteristics, direct and indirect costs, personal trajectories of care and health. Analysis include multidisciplinary approaches. A geographical information systems method will evaluate the accessibility to health facilities and the characteristics of the places of residence of the patients. An anthropological analysis will be conducted through observation of consultations and semi-directed interviews with patients. These methods will allow to analyze the diagnostic and therapeutic routes, placing it in a life history and an economic, socio-cultural and health environment. The economic analysis will include a comparison of direct, indirect costs and out-off pocket costs, from the patient's point of view and from the societal perspective. DISCUSSION: Conducted in a clinical setting and coupled with a qualitative study, this study will provide a better understanding of how contextual factors, combined with individual factors, can influence the course of health and thus the stage of the disease at diagnosis. The multidisciplinary approach, involving clinicians, geographers, an anthropologist, an economist and a health epidemiologist, will allow a multidimensional approach to the impact of precariousness on breast cancer.

trial registrationClinicalTrials.gov Identifier: NCT02948478 registered October 28, 2016. ID RCB: 2016-A00589-42. protocol version: 2.1. decembre 13, 2018.

Indexed as

Breast NeoplasmsHealth Status DisparitiesSocial Determinants of HealthAdultFemaleFranceHumansMulticenter Studies as TopicObservational Studies as TopicProspective StudiesResearch DesignSocioeconomic FactorsSurveys and QuestionnairesTreatment OutcomeAnthropologistBreast cancerEpidemiologistGeographic information systemHealth economistHealth geographerPrecariousnessQualitative interviewsSocial inequalities in healthSocio-economic deprivationStage at diagnosis

Identifiers

PMID31684919
PMCPMC6829797

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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.