Literature DB >> 17673061

Participation bias assessment in a community-based study of myocardial infarction, 2002-2005.

Yariv Gerber1, Steven J Jacobsen, Jill M Killian, Susan A Weston, Veronique L Roger.   

Abstract

OBJECTIVE: To compare the characteristics and survival of participants and nonparticipants in a community-based study of myocardial infarction (MI). PARTICIPANTS AND METHODS: Residents of Olmsted County, MN, who presented with elevated cardiac troponin T levels from September 1, 2002, through December 31, 2005, were prospectively enrolled and classified with standardized criteria for MI. With specific Institutional Review Board approval, the medical records of patients with MI who did not provide consent but who had given general research authorization were reviewed, as was done for their consenting peers.
RESULTS: During the study period, 2277 individuals with elevated cardiac troponin T levels were approached, of whom 1863 (82 percent) consented to participate. Among the 414 nonparticipants, 375 (91 percent) had general research authorization. Of the 558 with general research authorization who met the criteria for incident (ie, first-ever) MI, 67 (12 percent) refused to participate. These participants tended to be older (mean plus or minus SD age, 71 plus or minus 14 vs 67 plus or minus 15 years; P equals .04), were more likely to be of races other than white (9 percent vs 2 percent; P equals .01), and had more comorbidities, including peripheral vascular disease (P equals .02), chronic pulmonary disease (P equals .06), heart failure (P equals .07), and impaired creatinine clearance (P equals .02). No significant differences were detected in cardiovascular risk factors or MI characteristics. During a median follow-up of 517 days, nonparticipants experienced increased mortality rates compared with participants (hazard ratio, 1.97; 95 percent confidence interval, 1.21 to 3.20), which was largely attributable to their older age and excess comorbidities (adjusted hazard ratio, 1.43; 95 percent confidence interval, 0.86 to 2.35).
CONCLUSION: In this community-based study of MI, nonparticipants experienced worse survival rates than participants largely because of differences in demographic and clinical characteristics. These differences should be kept in mind when interpreting study results, particularly if participation is low.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17673061     DOI: 10.4065/82.8.933

Source DB:  PubMed          Journal:  Mayo Clin Proc        ISSN: 0025-6196            Impact factor:   7.616


  12 in total

1.  Prognostic value of cardiac troponin T after myocardial infarction: a contemporary community experience.

Authors:  Yariv Gerber; Allan S Jaffe; Susan A Weston; Ruoxiang Jiang; Véronique L Roger
Journal:  Mayo Clin Proc       Date:  2012-03       Impact factor: 7.616

2.  Comparison of participants and non-participants to the ORISCAV-LUX population-based study on cardiovascular risk factors in Luxembourg.

Authors:  Ala'a Alkerwi; Nicolas Sauvageot; Sophie Couffignal; Adelin Albert; Marie-Lise Lair; Michèle Guillaume
Journal:  BMC Med Res Methodol       Date:  2010-09-07       Impact factor: 4.615

3.  Pretreatment health behaviors predict survival among patients with head and neck squamous cell carcinoma.

Authors:  Sonia A Duffy; David L Ronis; Scott McLean; Karen E Fowler; Stephen B Gruber; Gregory T Wolf; Jeffrey E Terrell
Journal:  J Clin Oncol       Date:  2009-03-16       Impact factor: 44.544

4.  Plasma lipoprotein-associated phospholipase A2 levels in heart failure: association with mortality in the community.

Authors:  Yariv Gerber; Shannon M Dunlay; Allan S Jaffe; Joseph P McConnell; Susan A Weston; Jill M Killian; Véronique L Roger
Journal:  Atherosclerosis       Date:  2008-08-07       Impact factor: 5.162

5.  Neighborhood income and individual education: effect on survival after myocardial infarction.

Authors:  Yariv Gerber; Susan A Weston; Jill M Killian; Terry M Therneau; Steven J Jacobsen; Véronique L Roger
Journal:  Mayo Clin Proc       Date:  2008-06       Impact factor: 7.616

6.  Healthy women's motivators and barriers to participation in a breast cancer cohort study: a qualitative study.

Authors:  Pamela S Sinicrope; Christi A Patten; Sarah M Bonnema; Julka R Almquist; Christina M Smith; Timothy J Beebe; Steven J Jacobsen; Celine M Vachon
Journal:  Ann Epidemiol       Date:  2009-03-09       Impact factor: 3.797

7.  Participation bias and its impact on the assembly of a genetic specimen repository for a myocardial infarction cohort.

Authors:  Adelaide M Arruda-Olson; Susan A Weston; Brooke L Fridley; Jill M Killian; Ellen E Koepsell; Véronique L Roger
Journal:  Mayo Clin Proc       Date:  2007-10       Impact factor: 7.616

8.  Day-night variation of acute myocardial infarction in obstructive sleep apnea.

Authors:  Fatima H Sert Kuniyoshi; Arturo Garcia-Touchard; Apoor S Gami; Abel Romero-Corral; Christelle van der Walt; Snigdha Pusalavidyasagar; Tomas Kara; Sean M Caples; Gregg S Pressman; Elisardo C Vasquez; Francisco Lopez-Jimenez; Virend K Somers
Journal:  J Am Coll Cardiol       Date:  2008-07-29       Impact factor: 24.094

9.  Participation Bias in a Survey of Community Patients With Heart Failure.

Authors:  Irmak Simsek; Sheila M Manemann; Kathleen J Yost; Alanna M Chamberlain; Matteo Fabbri; Ruoxiang Jiang; Susan A Weston; Veronique L Roger
Journal:  Mayo Clin Proc       Date:  2020-05       Impact factor: 7.616

10.  Consenting to health record linkage: evidence from a multi-purpose longitudinal survey of a general population.

Authors:  Gundi Knies; Jonathan Burton; Emanuela Sala
Journal:  BMC Health Serv Res       Date:  2012-03-05       Impact factor: 2.655

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.