Report Summarizes Cancer Study Findings from Sante Publique France [Validation of an Algorithm for Identifying Incident Cancer Cases Based On Long-term Illness and Diagnosis Related Group Program Data From the French National Health Insurance …]: Cancer

Information Technology Business Daily

2023 NOV 28 (NewsRx) -- By a News Reporter-Staff News Editor at Information Technology Business Daily -- Researchers detail new data in Cancer. According to news reporting from St. Maurice, France, by NewsRx journalists, research stated, “Three generic claims-based algorithms based on the Illness Classification of Diseases (10th revision- ICD-10) codes, French Long-Term Illness (LTI) data, and the Diagnosis Related Group program (DRG) were developed to identify retirees with cancer using data from the French national health insurance information system (Systeme national des donnees de sante or SNDS) which covers the entire French population. The present study aimed to calculate the algorithms’ performances and to describe false positives and negatives in detail.”

The news correspondents obtained a quote from the research from Sante Publique France, “Between 2011 and 2016, data from 7544 participants of the French retired self-employed craftsperson cohort (ESPrI) were first matched to the SNDS data, and then toFrench population-based cancer registries data, used as the gold standard. Performance indicators, such as sensitivity and positive predictive values, were estimated for the three algorithms in a subcohort of ESPrI. The third algorithm, which combined the LTI and DRG program data, presented the best sensitivities (90.9%-100%) and positive predictive values (58.1%-95.2%) according to cancer sites. The majority of false positives were in fact nearby organ sites (e.g., stomach for esophagus) and carcinoma in situ. Most false negatives were probably due to under declaration of LTI.”

According to the news reporters, the research concluded: “Validated algorithms using data from the SNDS can be used for passive epidemiological follow-up for some cancer sites in the ESPrI cohort.”

This research has been peer-reviewed.

For more information on this research see: Validation of an Algorithm for Identifying Incident Cancer Cases Based On Long-term Illness and Diagnosis Related Group Program Data From the French National Health Insurance Information System (Snds). Pharmacoepidemiology and Drug Safety, 2023. Pharmacoepidemiology and Drug Safety can be contacted at: Wiley, 111 River St, Hoboken 07030-5774, NJ, USA. (Wiley-Blackwell - http://www.wiley.com/; Pharmacoepidemiology and Drug Safety - http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1099-1557)

Our news journalists report that additional information may be obtained by contacting Helene Goulard, Sante Publique France, St. Maurice, France. Additional authors for this research include Julie Homere, Sylvain Maurisset, Gaelle Coureau, Alain Monnereau, Gautier Defossez, Tania d’Almeida, Benedicte Lapotre-Ledoux, Anne-Valerie Guizard, Veronique Bouvier, Simona Bara and Sandrine Plouvier.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1002/pds.5709. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

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