Response rates in case-control studies of cancer by era of fieldwork and by characteristics of study design

2018 ◽  
Vol 28 (6) ◽  
pp. 385-391 ◽  
Author(s):  
Mengting Xu ◽  
Lesley Richardson ◽  
Sally Campbell ◽  
Javier Pintos ◽  
Jack Siemiatycki
Author(s):  
Natasha S Crowcroft ◽  
Kevin L Schwartz ◽  
Rachel D Savage ◽  
Cynthia Chen ◽  
Caitlin Johnson ◽  
...  

Abstract Background Vaccine effectiveness (VE) studies provide essential evidence on waning vaccine-derived immunity, a major threat to pertussis control. We evaluated how study design affects estimates by comparing 2 case-control studies conducted in Ontario, Canada. Methods We compared results from a test-negative design (TND) with a frequency-matched design (FMD) case-control study using pertussis cases from 2005–2015. In the first study, we identified test-negative controls from the public health laboratory that diagnosed cases and, in the second, randomly selected controls from patients attending the same physicians that reported cases, frequency matched on age and year. We compared characteristics of cases and controls using standardized differences. Results In both designs, VE estimates for the early years postimmunization were consistent with clinical trials (TND, 84%; FMD, 89% at 1–3 years postvaccination) but diverged as time since last vaccination increased (TND, 41%; FMD, 74% by 8 years postvaccination). Overall, we observed lower VE and faster waning in the TND than the FMD. In the TND but not FMD, controls differed from cases in important confounders, being younger, having more comorbidities, and higher healthcare use. Differences between the controls of each design were greater than differences between cases. TND controls were more likely to be unvaccinated or incompletely vaccinated than FMD controls (P < .001). Conclusions The FMD adjusted better for healthcare-seeking behavior than the TND. Duration of protection from pertussis vaccines is unclear because estimates vary by study design. Caution should be exercised by experts, researchers, and decision makers when evaluating evidence on optimal timing of boosters.


2021 ◽  
pp. 025371762110336
Author(s):  
S.M. Yasir Arafat ◽  
Vikas Menon ◽  
Natarajan Varadharajan ◽  
Sujita Kumar Kar

Background: Psychiatric disorders have been identified as an important risk factor for suicide. However, different psychological autopsy studies have revealed different prevalences at different times and places. Objective: We aimed to see the distribution of psychological autopsy studies and the prevalence of mental disorders among suicides and identify major risk factors in Southeast Asian countries. Method: We scrutinized psychological autopsy studies published in the World Health Organization (WHO) South-East Asia (SEA) region countries. We also searched the available bibliographies to identify the studies in the region so that all the possible articles could be included. Results: Out of the 11 countries, 14 psychological autopsy studies were identified in five SEA countries (Bangladesh [1], India [9], Indonesia [1], Nepal [1], and Sri Lanka [2]). Seven studies (50%) used a case-control study design, and eight (57.1%) were carried out in urban settings. The prevalence of psychiatric disorders in case-control studies was from 37% to 88%. Stressful life event was identified as a major risk factor in all the case-control studies. Conclusion: Psychological autopsy studies have not been conducted in 6 out of 11 countries of the SEA region. The presence of pre-existing psychiatric morbidity and stressful life events were the two most common risk factors noted across settings, even though there is wide heterogeneity in samples, study design, instruments, and study settings.


1995 ◽  
Vol 5 (3) ◽  
pp. 245-249 ◽  
Author(s):  
Martha L. Slattery ◽  
Sandra L. Edwards ◽  
Bette J. Caan ◽  
Richard A. Kerber ◽  
John D. Potter

2006 ◽  
Vol 7 (3) ◽  
pp. 83-84 ◽  
Author(s):  
Kate Ann Levin

2010 ◽  
Vol 114 (1) ◽  
pp. c1-c4 ◽  
Author(s):  
Karlijn J. van Stralen ◽  
Friedo W. Dekker ◽  
Carmine Zoccali ◽  
Kitty J. Jager

2012 ◽  
Vol 185 (1) ◽  
pp. 106-107 ◽  
Author(s):  
Ann Olsson ◽  
Roel Vermeulen ◽  
Hans Kromhout ◽  
Susan Peters ◽  
Per Gustavsson ◽  
...  

2019 ◽  
Vol 189 (2) ◽  
pp. 91-94
Author(s):  
W Dana Flanders

Abstract The case-control study design has evolved substantially over the past half century. The design has long been recognized as a way to increase efficiency by studying fewer subjects than would be required for a full cohort study. Historically, it was thought that case-control studies required a rare disease assumption for valid risk ratio estimation, but it was later realized that rare disease was not necessary. Over time, the design and analysis methods were further modified to allow estimation of rate ratios or to allow each person to serve as his/her own control (as we see with case-cohort and case-crossover studies, for example). We now understand that efficiency can be increased through the use of outcome-dependent sampling not only for dichotomous outcomes but also for continuous outcomes in longitudinal studies with repeated outcome measurement during follow-up. In their accompanying paper, Schildcrout et al. (Am J Epidemiol. 2019;000(00):000–000) contribute to our understanding, clearly summarizing many recent advances in study design and analyses that allow more general and efficient use of case-control studies. Their simulations demonstrate that improved efficiency is achieved with these methods when the goal is to estimate associations of exposure with trajectories and patterns of change over time. Here we comment on application of some of these generalized case-control methods to causal inference.


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