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Literature DB >> 17484029

Confounding in publications of observational intervention studies.

Rolf H H Groenwold¹, Arno W Hoes, Eelko Hak.

Abstract

We conducted a systematic literature search in Medline to assess the proportion of observational intervention studies appreciating confounding bias in peer-reviewed medical literature from 1985 through 2005. This study shows only 9% of all papers on observational intervention studies published in peer-reviewed medical journals mention any of the terms (confounding, adjustment, or bias) indicating appreciation of confounding.

Mesh：

Year: 2007 PMID： 17484029 DOI： 10.1007/s10654-007-9126-1

Source DB: PubMed Journal: Eur J Epidemiol ISSN： 0393-2990 Impact factor: 8.082

8 in total

1. Assessment and control for confounding by indication in observational studies.

Authors: B M Psaty; T D Koepsell; D Lin; N S Weiss; D S Siscovick; F R Rosendaal; M Pahor; C D Furberg
Journal: J Am Geriatr Soc Date: 1999-06 Impact factor: 5.562

2. Epidemiology--is it time to call it a day?

Authors: G Davey Smith; S Ebrahim
Journal: Int J Epidemiol Date: 2001-02 Impact factor: 7.196

Review 3. Confounding by indication in non-experimental evaluation of vaccine effectiveness: the example of prevention of influenza complications.

Authors: E Hak; Th J M Verheij; D E Grobbee; K L Nichol; A W Hoes
Journal: J Epidemiol Community Health Date: 2002-12 Impact factor: 3.710

4. Data dredging, bias, or confounding.

Authors: George Davey Smith; Shah Ebrahim
Journal: BMJ Date: 2002-12-21

5. Benefits of influenza vaccine in US elderly--appreciating issues of confounding bias and precision.

Authors: Eelko Hak; Arno W Hoes; Jim Nordin; Kristin L Nichol
Journal: Int J Epidemiol Date: 2006-04-17 Impact factor: 7.196

6. Sensitivity analysis and external adjustment for unmeasured confounders in epidemiologic database studies of therapeutics.

Authors: Sebastian Schneeweiss
Journal: Pharmacoepidemiol Drug Saf Date: 2006-05 Impact factor: 2.890

Review 7. Evaluating non-randomised intervention studies.

Authors: J J Deeks; J Dinnes; R D'Amico; A J Sowden; C Sakarovitch; F Song; M Petticrew; D G Altman
Journal: Health Technol Assess Date: 2003 Impact factor: 4.014

Review 8. Confounding and indication for treatment in evaluation of drug treatment for hypertension.

Authors: D E Grobbee; A W Hoes
Journal: BMJ Date: 1997-11-01

8 in total

11 in total

1. Recent trends in publications in the European Journal of Epidemiology.

Authors: Albert Hofman
Journal: Eur J Epidemiol Date: 2008 Impact factor: 8.082

2. Appropriate epidemiologic methods as a prerequisite for valid study results.

Authors: Andreas Stang
Journal: Eur J Epidemiol Date: 2008-11-19 Impact factor: 8.082

3. Discussion. Refining outcomes in dorsal hand coverage: consideration of aesthetics and donor-site morbidity.

Authors: Frank Fang; Jae W Song; Kevin C Chung
Journal: Plast Reconstr Surg Date: 2010-11 Impact factor: 4.730

4. External adjustment sensitivity analysis for unmeasured confounding: an application to coronary stent outcomes, Pennsylvania 2004-2008.

Authors: Marco D Huesch
Journal: Health Serv Res Date: 2012-12-03 Impact factor: 3.402

5. Field-wide meta-analyses of observational associations can map selective availability of risk factors and the impact of model specifications.

Authors: Stylianos Serghiou; Chirag J Patel; Yan Yu Tan; Peter Koay; John P A Ioannidis
Journal: J Clin Epidemiol Date: 2015-09-28 Impact factor: 6.437

6. Use of acid-suppressive drugs in pregnancy and the risk of childhood asthma: bidirectional crossover study using the general practice research database.

Authors: Eelko Hak; Bianca Mulder; Catharina C M Schuiling-Veninga; Tjalling W de Vries; Susan S Jick
Journal: Drug Saf Date: 2013-11 Impact factor: 5.606

7. Methods for the Selection of Covariates in Nutritional Epidemiology Studies: A Meta-Epidemiological Review.

Authors: Dena Zeraatkar; Kevin Cheung; Kirolos Milio; Max Zworth; Arnav Gupta; Arrti Bhasin; Jessica J Bartoszko; Michel Kiflen; Rita E Morassut; Salmi T Noor; Daeria O Lawson; Bradley C Johnston; Shrikant I Bangdiwala; Russell J de Souza
Journal: Curr Dev Nutr Date: 2019-09-17

8. Examining the Relationship between Heavy Alcohol Use and Assaults: With Adjustment for the Effects of Unmeasured Confounders.

Authors: Wenbin Liang; Tanya Chikritzhs
Journal: Biomed Res Int Date: 2015-08-25 Impact factor: 3.411

9. An investigation of the significance of residual confounding effect.

Authors: Wenbin Liang; Yuejen Zhao; Andy H Lee
Journal: Biomed Res Int Date: 2014-02-17 Impact factor: 3.411

10. A proxy outcome approach for causal effect in observational studies: a simulation study.

Authors: Wenbin Liang; Yuejen Zhao; Andy H Lee
Journal: Biomed Res Int Date: 2014-02-18 Impact factor: 3.411