2017
DOI: 10.1136/bmjopen-2017-016992
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Thiazide diuretics and the risk of hip fracture after stroke: a population-based propensity-matched cohort study using Taiwan’s National Health Insurance Research Database

Abstract: ObjectivesThis study aimed to investigate the association between thiazide use and the risk of hip fracture after stroke.SettingA population-based, propensity-matched cohort study was conducted on the basis of Taiwan’s National Health Insurance Research Database.ParticipantsPatients with newly diagnosed ischaemic stroke between 2000 and 2011 were included. After propensity score matching, 7470 patients were included, of whom 3735 received thiazides and 3735 did not.Outcome measuresHRs for developing hip fractu… Show more

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Cited by 11 publications
(16 citation statements)
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References 61 publications
(73 reference statements)
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“…Nevertheless, our study has several limitations that should be mentioned. First, we could not retrieve some clinical data, including patient lifestyles and physical, psychiatric, or laboratory examination data (e.g., BMD, body mass index, smoking status, and alcohol use) from the NHI research database [43], and they might represent confounding factors of fracture risk. Even if we had an adequate study design, including propensity score matching to balance baseline differences between groups and further use of a multivariate Cox proportional hazards regression model to eliminate residual confounding effects, bias related to unknown or unmeasured confounders might still exist.…”
Section: Discussionmentioning
confidence: 99%
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“…Nevertheless, our study has several limitations that should be mentioned. First, we could not retrieve some clinical data, including patient lifestyles and physical, psychiatric, or laboratory examination data (e.g., BMD, body mass index, smoking status, and alcohol use) from the NHI research database [43], and they might represent confounding factors of fracture risk. Even if we had an adequate study design, including propensity score matching to balance baseline differences between groups and further use of a multivariate Cox proportional hazards regression model to eliminate residual confounding effects, bias related to unknown or unmeasured confounders might still exist.…”
Section: Discussionmentioning
confidence: 99%
“…We also could not identify the exact mechanism of how the vertebral fracture occurred to distinguish whether the fracture was caused by osteoporosis or a trauma event. Third, because of the patient anonymity policy in the NHI research database, we could not confirm the accuracy of the patients’ diagnoses by contacting the patients directly [43]. We also could not obtain the detailed image reports in the claims-based dataset; thus, we could not determine what types of image and how such image examination confirmed the vertebral fracture.…”
Section: Discussionmentioning
confidence: 99%
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