{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,21]],"date-time":"2026-09-21T18:27:31Z","timestamp":1790015251987,"version":"4.0.1"},"reference-count":33,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2019,4,30]],"date-time":"2019-04-30T00:00:00Z","timestamp":1556582400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"French National Agency for Research","award":["ANR-10-IBHU-0001"],"award-info":[{"award-number":["ANR-10-IBHU-0001"]}]},{"name":"French Institute for Public Health Research"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Cancer Medicine"],"published-print":{"date-parts":[[2019,6]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Data on Chronic Myeloid Leukemia (CML) prevalence are scarce. Here we provide an estimation of the prevalence of CML in France for the year 2014 using French national health insurance data.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>We selected patients claiming reimbursement for tyrosine kinase inhibitors (TKI) or with hospital discharge diagnoses for CML, BCR\/ABL\u2010positive or with full reimbursement of health care expenses for myeloid leukemia. We built an algorithm which we validated on a random sample of 100 potential CML patients by comparing the results obtained using the algorithm and the opinion of two hematologists who reviewed the patient demographics and sequence of care abstracted from claims data (internal validity). For external validity, we compared the number of incident CML patients identified using the algorithm with those recorded in French population\u2010based cancer registries in departments covered by such a registry.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>We identified 10\u00a0789 prevalent CML patients in 2014, corresponding to a crude prevalence rate of 16.3 per 100\u00a0000 inhabitants [95% confidence interval (CI) 16.0\u201016.6]: 18.5 in men [18.0\u201019.0] and 14.2 in women [13.8\u201014.6]. The crude CML prevalence was less than 1.6 per 100\u00a0000 [1.2\u20102.0] under age 20, increasing to a maximum of 48.2 [45.4\u201051.2) at ages 75\u201079. It varied from 10.2 to 23.8 per 100\u00a0000 across French departments. The algorithm showed high internal and external validity. Concordance rate between the algorithm and the hematologists was 96%, and the numbers of incident CML patients identified using the algorithm and the registries were 162 and 150, respectively.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>We built and validated an algorithm to identify CML patients in administrative healthcare databases. In addition to prevalence estimation, the algorithm could be used for future economic evaluations or pharmaco\u2010epidemiological studies in this population.<\/jats:p><\/jats:sec>","DOI":"10.1002\/cam4.2200","type":"journal-article","created":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T03:17:13Z","timestamp":1556680633000},"page":"3296-3304","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Using healthcare claims data to analyze the prevalence of BCR\u2010ABL\u2010positive chronic myeloid leukemia in France: A nationwide population\u2010based study"],"prefix":"10.1002","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0213-0736","authenticated-orcid":false,"given":"St\u00e9phanie","family":"Foulon","sequence":"first","affiliation":[{"name":"Biostatistics Unit Gustave Roussy Villejuif France"},{"name":"CESP Centre for Research in Epidemiology and Population Health, INSERM U1018, Paris\u2010Sud Univ Villejuif France"},{"name":"B2PHI Biostatistics, Biomathematics, Pharmacoepidemiology and Infectious Diseases Inserm U1181, UVSQ, Paris Saclay Univ Villejuif France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pascale","family":"Cony\u2010Makhoul","sequence":"additional","affiliation":[{"name":"Service d'H\u00e9matologie CH Annecy Genevois Pringy France"},{"name":"FiLMC Group, Institut Bergoni\u00e9 Bordeaux France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Agn\u00e8s","family":"Guerci\u2010Bresler","sequence":"additional","affiliation":[{"name":"FiLMC Group, Institut Bergoni\u00e9 Bordeaux France"},{"name":"Service d'H\u00e9matologie CHRU Brabois Vandoeuvre France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0455-6749","authenticated-orcid":false,"given":"Marc","family":"Delord","sequence":"additional","affiliation":[{"name":"FiLMC Group, Institut Bergoni\u00e9 Bordeaux France"},{"name":"Institut Universitaire d'H\u00e9matologie Universit\u00e9 Paris\u2010Diderot Paris7 Paris France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eric","family":"Solary","sequence":"additional","affiliation":[{"name":"Department of Hematology Gustave Roussy Villejuif France"},{"name":"INSERM U1170 Villejuif France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alain","family":"Monnereau","sequence":"additional","affiliation":[{"name":"University of Bordeaux, Inserm, Bordeaux Population Health Research Center, Team EPICENE, UMR 1219 Bordeaux France"},{"name":"Registre des H\u00e9mopathies Malignes de la Gironde, Institut Bergoni\u00e9 Bordeaux France"},{"name":"French Network of Population\u2010based Cancer Registries (FRANCIM) Toulouse France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Julia","family":"Bonastre","sequence":"additional","affiliation":[{"name":"Biostatistics Unit Gustave Roussy Villejuif France"},{"name":"CESP Centre for Research in Epidemiology and Population Health, INSERM U1018, Paris\u2010Sud Univ Villejuif France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pascale","family":"Tubert\u2010Bitter","sequence":"additional","affiliation":[{"name":"B2PHI Biostatistics, Biomathematics, Pharmacoepidemiology and Infectious Diseases Inserm U1181, UVSQ, Paris Saclay Univ Villejuif France"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2019,4,30]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.respe.2015.12.017"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00277-015-2314-2"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(13)62120-0"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.1111\/ejh.12743"},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/S1470-2045(13)70546-1"},{"key":"e_1_2_8_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/S1470-2045(14)70282-7"},{"key":"e_1_2_8_8_1","first-page":"144","article-title":"Survie Des Personnes Atteintes de Cancer En France M\u00e9tropolitaine, 1989\u20132013. 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