Literature DB >> 26587368

Methods to Estimate the Comparative Effectiveness of Clinical Strategies that Administer the Same Intervention at Different Times.

Anders Huitfeldt1, Mette Kalager2, James M Robins3, Geir Hoff4, Miguel A Hernán5.   

Abstract

Clinical guidelines that rely on observational data due to the absence of data from randomized trials benefit when the observational data or its analysis emulates trial data or its analysis. In this paper, we review a methodology for emulating trials that compare the effects of different timing strategies, that is, strategies that vary the frequency of delivery of a medical intervention or procedure. We review trial emulation for comparing (i) single applications of the procedure at different times, (ii) fixed schedules of application, and (iii) schedules adapted to the evolving clinical characteristics of the patients. For illustration, we describe an application in which we estimate the effect of surveillance colonoscopies in patients who had an adenoma detected during the Norwegian Colorectal Cancer Prevention (NORCCAP) trial.

Entities:  

Keywords:  Causal inference; Colonoscopy; Colorectal cancer; Dynamic strategies; Inverse probability weighting; Surveillance

Year:  2015        PMID: 26587368      PMCID: PMC4646164          DOI: 10.1007/s40471-015-0045-5

Source DB:  PubMed          Journal:  Curr Epidemiol Rep


  17 in total

1.  When to start treatment? A systematic approach to the comparison of dynamic regimes using observational data.

Authors:  Lauren E Cain; James M Robins; Emilie Lanoy; Roger Logan; Dominique Costagliola; Miguel A Hernán
Journal:  Int J Biostat       Date:  2010       Impact factor: 0.968

Review 2.  Guidelines for colonoscopy surveillance after screening and polypectomy: a consensus update by the US Multi-Society Task Force on Colorectal Cancer.

Authors:  David A Lieberman; Douglas K Rex; Sidney J Winawer; Francis M Giardiello; David A Johnson; Theodore R Levin
Journal:  Gastroenterology       Date:  2012-07-03       Impact factor: 22.682

3.  Statistical considerations in cancer screening programs.

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Journal:  Urol Clin North Am       Date:  1990-11       Impact factor: 2.241

4.  European guidelines for quality assurance in colorectal cancer screening and diagnosis. First Edition--Colonoscopic surveillance following adenoma removal.

Authors:  W S Atkin; R Valori; E J Kuipers; G Hoff; C Senore; N Segnan; R Jover; W Schmiegel; R Lambert; C Pox
Journal:  Endoscopy       Date:  2012-09-25       Impact factor: 10.093

5.  Observational data for comparative effectiveness research: an emulation of randomised trials of statins and primary prevention of coronary heart disease.

Authors:  Goodarz Danaei; Luis A García Rodríguez; Oscar Fernández Cantero; Roger Logan; Miguel A Hernán
Journal:  Stat Methods Med Res       Date:  2011-10-19       Impact factor: 3.021

6.  Colorectal cancer screening: clinical guidelines and rationale.

Authors:  S J Winawer; R H Fletcher; L Miller; F Godlee; M H Stolar; C D Mulrow; S H Woolf; S N Glick; T G Ganiats; J H Bond; L Rosen; J G Zapka; S J Olsen; F M Giardiello; J E Sisk; R Van Antwerp; C Brown-Davis; D A Marciniak; R J Mayer
Journal:  Gastroenterology       Date:  1997-02       Impact factor: 22.682

7.  With great data comes great responsibility: publishing comparative effectiveness research in epidemiology.

Authors:  Miguel A Hernán
Journal:  Epidemiology       Date:  2011-05       Impact factor: 4.822

8.  Prevention of colorectal cancer by colonoscopic polypectomy. The National Polyp Study Workgroup.

Authors:  S J Winawer; A G Zauber; M N Ho; M J O'Brien; L S Gottlieb; S S Sternberg; J D Waye; M Schapiro; J H Bond; J F Panish
Journal:  N Engl J Med       Date:  1993-12-30       Impact factor: 91.245

9.  A randomized surveillance study of patients with pedunculated and small sessile tubular and tubulovillous adenomas. The Funen Adenoma Follow-up Study.

Authors:  O D Jørgensen; O Kronborg; C Fenger
Journal:  Scand J Gastroenterol       Date:  1995-07       Impact factor: 2.423

10.  When to initiate combined antiretroviral therapy to reduce mortality and AIDS-defining illness in HIV-infected persons in developed countries: an observational study.

Authors:  Lauren E Cain; Roger Logan; James M Robins; Jonathan A C Sterne; Caroline Sabin; Loveleen Bansi; Amy Justice; Joseph Goulet; Ard van Sighem; Frank de Wolf; Heiner C Bucher; Viktor von Wyl; Anna Esteve; Jordi Casabona; Julia del Amo; Santiago Moreno; Remonie Seng; Laurence Meyer; Santiago Perez-Hoyos; Roberto Muga; Sara Lodi; Emilie Lanoy; Dominique Costagliola; Miguel A Hernan
Journal:  Ann Intern Med       Date:  2011-04-19       Impact factor: 25.391

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  4 in total

Review 1.  Specifying a target trial prevents immortal time bias and other self-inflicted injuries in observational analyses.

Authors:  Miguel A Hernán; Brian C Sauer; Sonia Hernández-Díaz; Robert Platt; Ian Shrier
Journal:  J Clin Epidemiol       Date:  2016-05-27       Impact factor: 6.437

Review 2.  Estimating the Effect of Targeted Screening Strategies: An Application to Colonoscopy and Colorectal Cancer.

Authors:  Duncan C Thomas
Journal:  Epidemiology       Date:  2017-07       Impact factor: 4.822

3.  The effect of treatment delay on time-to-recovery in the presence of unobserved heterogeneity.

Authors:  Nan van Geloven; Theodor A Balan; Hein Putter; Saskia le Cessie
Journal:  Biom J       Date:  2020-01-20       Impact factor: 2.207

Review 4.  Matching with time-dependent treatments: A review and look forward.

Authors:  Laine E Thomas; Siyun Yang; Daniel Wojdyla; Douglas E Schaubel
Journal:  Stat Med       Date:  2020-04-03       Impact factor: 2.373

  4 in total

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