ArticleJournal of cancer epidemiology2012
Estimation of national colorectal-cancer incidence using claims databases.
Article in Journal of cancer epidemiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- Assigning cancer stage to patients using administrative claims data: an example for colon and rectal cancers.BMC health services research · 2025Article
- Computational definition of medical exclusion and feasibility of excluding people not eligible for French population-based colorectal cancer screening from the French medico-administrative database.BMC medical informatics and decision making · 2025Review
- Article
- Novel Algorithm for the Estimation of Cancer Incidence Using Claims Data in Japan: A Feasibility Study.JCO global oncology · 2023Article
- Changes in Cancer Screening Rates Following a New Cancer Diagnosis in a Primary Care Patient Panel.JAMA network open · 2022Article
- Failure to rescue following proctectomy for rectal cancer: the additional benefit of laparoscopic approach in a nationwide observational study of 44,536 patients.Surgical endoscopy · 2022Observational
- Observational
- Detection of incident breast and colorectal cancer cases from an administrative healthcare database in Catalonia, Spain.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2020Article
- Validation study: evaluation of the metrological quality of French hospital data for perinatal algorithms.BMJ open · 2020Article
- Identifying chronic thromboembolic pulmonary hypertension through the French national hospital discharge database.PloS one · 2019Article
- Leveraging Linkage of Cohort Studies With Administrative Claims Data to Identify Individuals With Cancer.Medical care · 2018Article
- Accuracy of colorectal cancer ICD-9-CM codes in Italian administrative healthcare databases: a cross-sectional diagnostic study.BMJ open · 2018Article
- Measuring colorectal cancer incidence: the performance of an algorithm using administrative health data.BMC medical research methodology · 2018Article
- A novel approach for medical research on lymphomas: A study validation of claims-based algorithms to identify incident cases.Medicine · 2018Article
- The impact of the lookback period and definition of confirmatory events on the identification of incident cancer cases in administrative data.BMC medical research methodology · 2017Article
- Identifying multiple myeloma patients using data from the French health insurance databases: Validation using a cancer registry.Medicine · 2017Article
- Article
- Validity and completeness of colorectal cancer diagnoses in a primary care database in the United Kingdom.Pharmacoepidemiology and drug safety · 2016Article
- Article
- Epidemiology of Endometriosis in France: A Large, Nation-Wide Study Based on Hospital Discharge Data.BioMed research international · 2016Article
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background. The aim of the study was to assess the accuracy of the colorectal-cancer incidence estimated from administrative data. Methods. We selected potential incident colorectal-cancer cases in 2004-2005 French administrative data, using two alternative algorithms. The first was based only on diagnostic and procedure codes, whereas the second considered the past history of the patient. Results of both methods were assessed against two corresponding local cancer registries, acting as "gold standards." We then constructed a multivariable regression model to estimate the corrected total number of incident colorectal-cancer cases from the whole national administrative database. Results. The first algorithm provided an estimated local incidence very close to that given by the regional registries (646 versus 645 incident cases) and had good sensitivity and positive predictive values (about 75% for both). The second algorithm overestimated the incidence by about 50% and had a poor positive predictive value of about 60%. The estimation of national incidence obtained by the first algorithm differed from that observed in 14 registries by only 2.34%. Conclusion. This study shows the usefulness of administrative databases for countries with no national cancer registry and suggests a method for correcting the estimates provided by these data.
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