Evidence map›Paper›PMID 31488077›Full record

Observational studyBMC cancer2019

Are social inequalities in acute myeloid leukemia survival explained by differences in treatment utilization? Results from a French longitudinal observational study among older patients.

Eloïse Berger, Cyrille Delpierre, Fabien Despas, Sarah Bertoli, Emilie Bérard, Oriane Bombarde, Pierre Bories, Audrey Sarry, Guy Laurent, Christian Récher and 1 more

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in BMC cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

11 authors.

Eloïse BergerLEASP, UMR 1027, Equipe labellisée Ligue Nationale Contre le Cancer, Faculté de médecine de Purpan, Inserm-Université Toulouse III Paul Sabatier, 37 allées Jules Guesde, 31000, Toulouse, France. eloise.berger@univ-tlse3.fr.ORCID http://orcid.org/0000-0003-2412-1133
Cyrille DelpierreLEASP, UMR 1027, Equipe labellisée Ligue Nationale Contre le Cancer, Faculté de médecine de Purpan, Inserm-Université Toulouse III Paul Sabatier, 37 allées Jules Guesde, 31000, Toulouse, France.
Fabien DespasLEASP, UMR 1027, Equipe labellisée Ligue Nationale Contre le Cancer, Faculté de médecine de Purpan, Inserm-Université Toulouse III Paul Sabatier, 37 allées Jules Guesde, 31000, Toulouse, France.
Sarah BertoliService d'hématologie, Institut Universitaire du Cancer de Toulouse - Oncopôle, CHU de Toulouse, Toulouse, France.
Emilie BérardLEASP, UMR 1027, Equipe labellisée Ligue Nationale Contre le Cancer, Faculté de médecine de Purpan, Inserm-Université Toulouse III Paul Sabatier, 37 allées Jules Guesde, 31000, Toulouse, France.
Oriane BombardeService de Pharmacologie Clinique, CHU de Toulouse, Toulouse, France.
Pierre BoriesService d'hématologie, Institut Universitaire du Cancer de Toulouse - Oncopôle, CHU de Toulouse, Toulouse, France.
Audrey SarryService d'hématologie, Institut Universitaire du Cancer de Toulouse - Oncopôle, CHU de Toulouse, Toulouse, France.
Guy LaurentLEASP, UMR 1027, Equipe labellisée Ligue Nationale Contre le Cancer, Faculté de médecine de Purpan, Inserm-Université Toulouse III Paul Sabatier, 37 allées Jules Guesde, 31000, Toulouse, France.
Christian RécherService d'hématologie, Institut Universitaire du Cancer de Toulouse - Oncopôle, CHU de Toulouse, Toulouse, France.
Sébastien LamyLEASP, UMR 1027, Equipe labellisée Ligue Nationale Contre le Cancer, Faculté de médecine de Purpan, Inserm-Université Toulouse III Paul Sabatier, 37 allées Jules Guesde, 31000, Toulouse, France.

Funding

Agence Nationale de la Recherche ANR-11-PHUC-001Institut de Recherche en Santé Publique SSC201504
6 · The paper itself

Abstract

backgroundEvidences support social inequalities in cancer survival. Studies on hematological malignancies, and more specifically Acute Myeloid Leukemia (AML), are sparser. Our study assessed: 1/ the influence of patients' socioeconomic position on survival, 2/ the role of treatment in this relationship, and 3/ the influence of patients' socioeconomic position on treatment utilization.

methodsThis prospective multicenter study includes all patients aged 60 and older, newly diagnosed with AML, excluding promyelocytic subtypes, between 1st January 2009 to 31st December 2014 in the South-West of France. Data came from medical files. Patients' socioeconomic position was measured by an ecological deprivation index, the European Deprivation Index. We studied first, patients' socioeconomic position influence on overall survival (n = 592), second, on the use of intensive chemotherapy (n = 592), and third, on the use of low intensive treatment versus best supportive care among patients judged unfit for intensive chemotherapy (n = 405).

resultsWe found an influence of patients' socioeconomic position on survival (highest versus lowest position HR

conclusionsFinally, these results suggest an indirect influence of patients' socioeconomic position on survival through AML initial presentation.

Indexed as

Cancer SurvivorsHealthcare DisparitiesPatient Acceptance of Health CareSocioeconomic FactorsAgedAged, 80 and overAge FactorsAntineoplastic Combined Chemotherapy ProtocolsFemaleFollow-Up StudiesFranceHumansLeukemia, Myeloid, AcuteLongitudinal StudiesMaleMiddle AgedAcute myeloid leukemiaCancer management and survivalElderly patientsFrench European deprivation indexObservational study

Identifiers

PMID31488077
PMCPMC6729078

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.