<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Ghesquieres H</submitter><funding>Janssen-Cilag</funding><funding>Amgen SAS</funding><funding>Roche</funding><funding>Takeda France SAS</funding><funding>Celgene International II SARL</funding><pagination>432</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC7927409</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>21(1)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>Age-adjusted lymphoma incidence rates continue to rise in France since the early 80's, although rates have slowed since 2010 and vary across subtypes. Recent improvements in patient survival in major lymphoma subtypes at population level raise new questions about patient outcomes (i.e. quality of life, long-term sequelae). Epidemiological studies have investigated factors related to lymphoma risk, but few have addressed the extent to which socioeconomic status, social institutional context (i.e. healthcare system), social relationships, environmental context (exposures), individual behaviours (lifestyle) or genetic determinants influence lymphoma outcomes, especially in the general population. Moreover, the knowledge of the disease behaviour mainly obtained from clinical</pubmed_abstract><journal>BMC public health</journal><pubmed_title>A French multicentric prospective prognostic cohort with epidemiological, clinical, biological and treatment information to improve knowledge on lymphoma patients: study protocol of the "REal world dAta in LYmphoma and survival in adults" (REALYSA) cohort.</pubmed_title><pmcid>PMC7927409</pmcid><funding_grant_id>NA</funding_grant_id><pubmed_authors>Chartier L</pubmed_authors><pubmed_authors>Monnereau A</pubmed_authors><pubmed_authors>Bernier A</pubmed_authors><pubmed_authors>Oberic L</pubmed_authors><pubmed_authors>Le Guyader-Peyrou S</pubmed_authors><pubmed_authors>Baldi I</pubmed_authors><pubmed_authors>Sujobert P</pubmed_authors><pubmed_authors>Lebras L</pubmed_authors><pubmed_authors>Damaj G</pubmed_authors><pubmed_authors>Guidez S</pubmed_authors><pubmed_authors>Rossi C</pubmed_authors><pubmed_authors>Fornecker LM</pubmed_authors><pubmed_authors>Morschhauser F</pubmed_authors><pubmed_authors>Le Gouill S</pubmed_authors><pubmed_authors>Ysebaert L</pubmed_authors><pubmed_authors>Gressin R</pubmed_authors><pubmed_authors>Salles G</pubmed_authors><pubmed_authors>Haioun C</pubmed_authors><pubmed_authors>Cherblanc F</pubmed_authors><pubmed_authors>Ghesquieres H</pubmed_authors><pubmed_authors>Bouabdallah K</pubmed_authors><pubmed_authors>Fitoussi O</pubmed_authors><pubmed_authors>Belot A</pubmed_authors><pubmed_authors>Laboure G</pubmed_authors><pubmed_authors>Laurent C</pubmed_authors><pubmed_authors>Morineau N</pubmed_authors><pubmed_authors>Bijou F</pubmed_authors><pubmed_authors>Fabbro-Peray P</pubmed_authors></additional><is_claimable>false</is_claimable><name>A French multicentric prospective prognostic cohort with epidemiological, clinical, biological and treatment information to improve knowledge on lymphoma patients: study protocol of the "REal world dAta in LYmphoma and survival in adults" (REALYSA) cohort.</name><description>&lt;h4>Background&lt;/h4>Age-adjusted lymphoma incidence rates continue to rise in France since the early 80's, although rates have slowed since 2010 and vary across subtypes. Recent improvements in patient survival in major lymphoma subtypes at population level raise new questions about patient outcomes (i.e. quality of life, long-term sequelae). Epidemiological studies have investigated factors related to lymphoma risk, but few have addressed the extent to which socioeconomic status, social institutional context (i.e. healthcare system), social relationships, environmental context (exposures), individual behaviours (lifestyle) or genetic determinants influence lymphoma outcomes, especially in the general population. Moreover, the knowledge of the disease behaviour mainly obtained from clinical</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021 Mar</publication><modification>2026-05-02T12:10:56.151Z</modification><creation>2021-03-06T08:12:38Z</creation></dates><accession>S-EPMC7927409</accession><cross_references><pubmed>33653294</pubmed><doi>10.1186/s12889-021-10433-4</doi></cross_references></HashMap>