Literature DB >> 17978812

Bias in clinical research.

G Tripepi1, K J Jager, F W Dekker, C Wanner, C Zoccali.   

Abstract

The quality of a clinical study depends on internal and external factors. Studies have internal validity when, random error apart, reported differences between exposed and unexposed individuals can be attributed only to the exposure under investigation. Internal validity may be affected by bias, that is, by any systematic error that occurs in the design or in the conduction of a clinical research. Here we focus on two major categories of bias: selection bias and information bias. We describe three types of selection biases (incidence-prevalence bias, loss-to-follow-up bias, and publication bias) and a series of information biases (i.e. misclassification bias--recall bias, interviewer bias, observer bias, and regression dilution bias--and lead-time bias).

Entities:  

Mesh:

Year:  2007        PMID: 17978812     DOI: 10.1038/sj.ki.5002648

Source DB:  PubMed          Journal:  Kidney Int        ISSN: 0085-2538            Impact factor:   10.612


  17 in total

1.  Mode of administration bias.

Authors:  Chad Cook
Journal:  J Man Manip Ther       Date:  2010-06

2.  Low reproducibility of randomized clinical trials methodology related to sampling: a systematic methodological review.

Authors:  Sean P Riley; Brian T Swanson; Jean-Michel Brismée; Steven F Sawyer; Elizabeth J Dyer
Journal:  J Man Manip Ther       Date:  2019-03-07

3.  Preemptive kidney transplantation: a propensity score matched cohort study.

Authors:  Masayoshi Okumi; Yasuyuki Sato; Kohei Unagami; Toshihito Hirai; Hideki Ishida; Kazunari Tanabe
Journal:  Clin Exp Nephrol       Date:  2016-10-19       Impact factor: 2.801

4.  Troponin I and NT-proBNP and the association of systolic blood pressure with outcomes in incident hemodialysis patients: the Choices for Healthy Outcomes in Caring for ESRD (CHOICE) Study.

Authors:  Tariq Shafi; Philip G Zager; Stephen M Sozio; Morgan E Grams; Bernard G Jaar; Robert H Christenson; L Ebony Boulware; Rulan S Parekh; Neil R Powe; Josef Coresh
Journal:  Am J Kidney Dis       Date:  2014-04-29       Impact factor: 8.860

Review 5.  How to Ask the Right Question and Find the Right Answer: Clinical Research for Transplant Nephrologists.

Authors:  Sonia Rodríguez-Ramírez; S Joseph Kim
Journal:  Front Immunol       Date:  2022-05-10       Impact factor: 8.786

6.  Factors associated with CKD in the elderly and nonelderly population.

Authors:  Ming-Yen Lin; Yi-Wen Chiu; Chien-Hung Lee; Hui-Yen Yu; Hung-Chun Chen; Ming-Tsang Wu; Shang-Jyh Hwang
Journal:  Clin J Am Soc Nephrol       Date:  2012-10-18       Impact factor: 8.237

7.  The Social Security Death Index (SSDI) most accurately reflects true survival for older oncology patients.

Authors:  Justin T Huntington; Mathew Butterfield; James Fisher; Daniel Torrent; Mark Bloomston
Journal:  Am J Cancer Res       Date:  2013-11-01       Impact factor: 6.166

Review 8.  Discoveries from the study of longstanding type 1 diabetes.

Authors:  Bruce A Perkins; Leif Erik Lovblom; Sebastien O Lanctôt; Krista Lamb; David Z I Cherney
Journal:  Diabetologia       Date:  2021-03-04       Impact factor: 10.122

9.  Design and implementation of the Canadian Kidney Disease Cohort Study (CKDCS): A prospective observational study of incident hemodialysis patients.

Authors:  Aminu K Bello; Ravi Thadhani; Brenda Hemmelgarn; Scott Klarenbach; John Gill; Christopher Chan; Deborah Zimmerman; Daniel Holmes; George Cembrowski; Dawn Opgenorth; Rafael Sibrian; Mohammad Karkhaneh; Sophanny Tiv; Natasha Wiebe; Marcello Tonelli
Journal:  BMC Nephrol       Date:  2011-02-16       Impact factor: 2.388

10.  Vascular calcification burden of Chinese patients with chronic kidney disease: methodology of a cohort study.

Authors:  Zhi-Hong Liu
Journal:  BMC Nephrol       Date:  2015-08-04       Impact factor: 2.388

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