2017
DOI: 10.1002/pds.4225
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Evaluation of algorithms to identify incident cancer cases by using French health administrative databases

Abstract: The algorithms proposed could be used for cancer incidence monitoring and for future etiological cancer studies involving French healthcare databases. Copyright © 2017 John Wiley & Sons, Ltd.

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Cited by 19 publications
(20 citation statements)
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References 36 publications
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“…Information on both aspirin use and cancer were prospectively collected for an administrative purpose and thus independently of any prespecified hypothesis. Moreover, the validated algorithm we used to identify incident cancer cases in the SNDS databases allowed us to avoid any outcome misclassification . In addition, we restricted our study to only LDA in terms of clinical relevance in prevention (established antiplatelet effect in preventing cardiovascular disease and low rate of bleeding below 325 mg) .…”
Section: Discussionsupporting
confidence: 89%
See 2 more Smart Citations
“…Information on both aspirin use and cancer were prospectively collected for an administrative purpose and thus independently of any prespecified hypothesis. Moreover, the validated algorithm we used to identify incident cancer cases in the SNDS databases allowed us to avoid any outcome misclassification . In addition, we restricted our study to only LDA in terms of clinical relevance in prevention (established antiplatelet effect in preventing cardiovascular disease and low rate of bleeding below 325 mg) .…”
Section: Discussionsupporting
confidence: 89%
“…Moreover, the validated algorithm we used to identify incident cancer cases in the SNDS databases allowed us to avoid any outcome misclassification. 36 In addition, we restricted our study to only LDA in terms of clinical relevance in prevention (established antiplatelet effect in preventing cardiovascular disease and low rate of bleeding below 325 mg). 47 Finally, the cumulative protective effect of aspirin observed for each additional year of exposure was an additional argument favoring the causality of the observed protective effect of LDA on overall cancer incidence.…”
Section: Discussionmentioning
confidence: 99%
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“…Previously developed algorithms were used to define each indication or comorbidity and combined information from drug reimbursements, medical procedures (CCAM), hospital and LTD diagnosis 39,40 . Supplemental codes of identification for comorbidities are presented in the supplemental material.…”
Section: Low Socioeconomic Status Defined By the Complementary Univementioning
confidence: 99%
“…On multinomial logistic regression, the absence of a secondary indication for LDA use at baseline was the main predictor of being in the not-adherent, delayed notadherent or delayed adherent versus persistent adherent group (OR 0. 40 (table 3). Moreover, the probability of being not-adherent was increased with female sex, low socioeconomic status and polymedication the year before the index event and was decreased with diabetes, hypertension, dementia, ≥ 4 physician consultations in the previous year, and at least one hospitalization or one cardiologist consultation in the previous 3 months (Table 3).…”
Section: Predictors Of Adherencementioning
confidence: 99%