ArticleBMC public health2021
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.
Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03869619 (REAL WORLD DATA IN LYMPHOMA AND SURVIVAL IN ADULTS), which is not on this map. Cited by 15 papers.
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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.
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.
Real world data in lymphoma and survival in adults
Who cites it
15 citing papers in PubMed, 17 citations in OpenAlex.
- Constructing an External Control Arm Using the French REALYSA Cohort to Replicate Outcomes of a Randomized Trial Arm in Advanced Hodgkin Lymphoma.Clinical pharmacology and therapeutics · 2026Article
- Synthetic control arm from mixed clinical trials and real-world data from the LYSA group for untreated diffuse large B-cell lymphoma patients aged over 80 years: a bona fide strategy for innovative clinical trials.Blood cancer journal · 2025Article
- Health-Related Quality of Life in Long-Term Survivors of Non-Hodgkin Lymphoma: A French Population-Based Study.Cancers · 2025Article
- Real-world data for marginal zone lymphoma patients in the French REALYSA cohort: The REALMA study.Hematological oncology · 2024Article
- The National Swedish Lymphoma Register - a systematic validation of data quality.Acta oncologica (Stockholm, Sweden) · 2024Article
- Evaluation of participation and recruitment bias in a prospective Real World Data in Lymphoma and Survival in Adults (REALYSA) cohort for newly diagnosed lymphoma patients over 1 year in a hematology department of teaching hospital.Hematological oncology · 2024Article
- The Lymphoma Epidemiology of Outcomes cohort study: Design, baseline characteristics, and early outcomes.American journal of hematology · 2024Article
- Challenges for quality and utilization of real-world data for diffuse large B-cell lymphoma in REALYSA, a LYSA cohort.Blood advances · 2024Article
- The Need to Set up a Biobank Dedicated to Lymphoid Malignancies: Experience of a Single Center (Laboratory of Clinical and Experimental Pathology, University Côte d'Azur, Nice, France).Journal of personalized medicine · 2023Article
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- Tackling Mantle Cell Lymphoma in Europe.Healthcare (Basel, Switzerland) · 2022Article
- Application of precision medicine in clinical routine in haematology-Challenges and opportunities.Journal of internal medicine · 2022Review
- Critical Role of Flow Cytometric Immunophenotyping in the Diagnosis, Subtyping, and Staging of T-Cell/NK-Cell Non-Hodgkin's Lymphoma in Real-World Practice: A Study of 232 Cases From a Tertiary Cancer Center in India.Frontiers in oncology · 2022Article
- Real-World Estimation of First- and Second-Line Treatments for Diffuse Large B-Cell Lymphoma Using Health Insurance Data: A Belgian Population-Based Study.Frontiers in oncology · 2022Article
- Article
Corrections and comments
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Authors and funding
28 authors at 15 institutions in 1 country.
Funding
Abstract
backgroundAge-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 trials data is partly biased because of patient selection.
methodsThe REALYSA ("REal world dAta in LYmphoma and Survival in Adults") study is a real-life multicentric cohort set up in French areas covered by population-based cancer registries to study the prognostic value of epidemiological, clinical and biological factors with a prospective 9-year follow-up. We aim to include 6000 patients over 4 to 5 years. Adult patients without lymphoma history and newly diagnosed with one of the following 7 lymphoma subtypes (diffuse large B-cell, follicular, marginal zone, mantle cell, Burkitt, Hodgkin, mature T-cell) are invited to participate during a medical consultation with their hematologist. Exclusion criteria are: having already received anti-lymphoma treatment (except pre-phase) and having a documented HIV infection. Patients are treated according to the standard practice in their center. Clinical data, including treatment received, are extracted from patients' medical records. Patients' risk factors exposures and other epidemiological data are obtained at baseline by filling out a questionnaire during an interview led by a clinical research assistant. Biological samples are collected at baseline and during treatment. A virtual tumor biobank is constituted for baseline tumor samples. Follow-up data, both clinical and epidemiological, are collected every 6 months in the first 3 years and every year thereafter. DISCUSSION: This cohort constitutes an innovative platform for clinical, biological, epidemiological and socio-economic research projects and provides an opportunity to improve knowledge on factors associated to outcome of lymphoma patients in real life.
trial registration2018-A01332-53, ClinicalTrials.gov identifier: NCT03869619 .
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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.