Literature DB >> 14675584

A propensity score-matched cohort study of the effect of statins, mainly fluvastatin, on the occurrence of acute myocardial infarction.

John D Seeger1, Alexander M Walker, Paige L Williams, Gordon M Saperia, Frank M Sacks.   

Abstract

This investigation quantified the effect of statins on acute myocardial infarction (AMI) in an observational setting where fluvastatin represented most of the statin use. The study applied propensity scores to match statin initiators to statin noninitiators and followed them for the occurrence of AMI. Serum low-density lipoprotein levels were reduced by statin therapy, and there were fewer incidents of AMI in statin initiators than in noninitiators.

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Year:  2003        PMID: 14675584     DOI: 10.1016/j.amjcard.2003.08.057

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  20 in total

1.  Early steps in the development of a claims-based targeted healthcare safety monitoring system and application to three empirical examples.

Authors:  Peter M Wahl; Joshua J Gagne; Thomas E Wasser; Debra F Eisenberg; J Keith Rodgers; Gregory W Daniel; Marcus Wilson; Sebastian Schneeweiss; Jeremy A Rassen; Amanda R Patrick; Jerry Avorn; Rhonda L Bohn
Journal:  Drug Saf       Date:  2012-05-01       Impact factor: 5.606

Review 2.  A review of the application of propensity score methods yielded increasing use, advantages in specific settings, but not substantially different estimates compared with conventional multivariable methods.

Authors:  Til Stürmer; Manisha Joshi; Robert J Glynn; Jerry Avorn; Kenneth J Rothman; Sebastian Schneeweiss
Journal:  J Clin Epidemiol       Date:  2005-10-13       Impact factor: 6.437

3.  Systemic inflammation and the dynamics of HDL cholesterol-associated residual cardiovascular risk.

Authors:  Robert S Rosenson
Journal:  Curr Atheroscler Rep       Date:  2011-06       Impact factor: 5.113

4.  A basic study design for expedited safety signal evaluation based on electronic healthcare data.

Authors:  Sebastian Schneeweiss
Journal:  Pharmacoepidemiol Drug Saf       Date:  2010-08       Impact factor: 2.890

5.  Calendar time-specific propensity scores and comparative effectiveness research for stage III colon cancer chemotherapy.

Authors:  Christina DeFilippo Mack; Robert J Glynn; M Alan Brookhart; William R Carpenter; Anne Marie Meyer; Robert S Sandler; Til Stürmer
Journal:  Pharmacoepidemiol Drug Saf       Date:  2013-01-07       Impact factor: 2.890

6.  The influence of neighborhood environment on the incidence of childhood asthma: a propensity score approach.

Authors:  Young J Juhn; Rui Qin; Sanghwa Urm; Slavica Katusic; Delfino Vargas-Chanes
Journal:  J Allergy Clin Immunol       Date:  2010-03-17       Impact factor: 10.793

7.  Confronting "confounding by health system use" in Medicare Part D: comparative effectiveness of propensity score approaches to confounding adjustment.

Authors:  Jennifer M Polinski; Sebastian Schneeweiss; Robert J Glynn; Joyce Lii; Jeremy A Rassen
Journal:  Pharmacoepidemiol Drug Saf       Date:  2012-05       Impact factor: 2.890

8.  The Effect of Statin Use on Mortality in Systemic Autoimmune Rheumatic Diseases.

Authors:  April M Jorge; Na Lu; Sarah F Keller; Sharan K Rai; Yuqing Zhang; Hyon K Choi
Journal:  J Rheumatol       Date:  2018-09-01       Impact factor: 4.666

9.  Beneficiaries with cardiovascular disease and thePart D coverage gap.

Authors:  Jennifer M Polinski; William H Shrank; Robert J Glynn; Haiden A Huskamp; M Christopher Roebuck; Sebastian Schneeweiss
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2012-04-17

Review 10.  Propensity score methods to control for confounding in observational cohort studies: a statistical primer and application to endoscopy research.

Authors:  Jeff Y Yang; Michael Webster-Clark; Jennifer L Lund; Robert S Sandler; Evan S Dellon; Til Stürmer
Journal:  Gastrointest Endosc       Date:  2019-04-30       Impact factor: 9.427

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