Literature DB >> 33572236

Pharmacoepidemiological Evaluation in Prostate Cancer-Common Pitfalls and How to Avoid Them.

Aino Siltari1,2, Anssi Auvinen3, Teemu J Murtola1,4.   

Abstract

Pharmacoepidemiologic research provides opportunities to evaluate how commonly used drug groups, such as cholesterol-lowering or antidiabetic drugs, may affect the prostate cancer risk or mortality. This type of research is valuable in estimating real-life drug effects. Nonetheless, pharmacoepidemiological studies are prone to multiple sources of bias that mainly arise from systematic differences between medication users and non-users. If these are not appreciated and properly controlled for, there is a risk of obtaining biased results and reaching erroneous conclusions. Therefore, in order to improve the quality of future research, we describe common biases in pharmacoepidemiological studies, particularly in the context of prostate cancer research. We also list common ways to mitigate these biases and to estimate causality between medication use and cancer outcomes.

Entities:  

Keywords:  common biases; confounding; metabolism; pharmacoepidemiology; prostate cancer; retrospective studies

Year:  2021        PMID: 33572236      PMCID: PMC7914977          DOI: 10.3390/cancers13040696

Source DB:  PubMed          Journal:  Cancers (Basel)        ISSN: 2072-6694            Impact factor:   6.639


  70 in total

1.  Approaches to combat with confounding by indication in observational studies of intended drug effects.

Authors:  Alex D McMahon
Journal:  Pharmacoepidemiol Drug Saf       Date:  2003 Oct-Nov       Impact factor: 2.890

2.  Application of lag-time into exposure definitions to control for protopathic bias.

Authors:  H Tamim; A A Tahami Monfared; J LeLorier
Journal:  Pharmacoepidemiol Drug Saf       Date:  2007-03       Impact factor: 2.890

Review 3.  Quality of the Finnish Hospital Discharge Register: a systematic review.

Authors:  Reijo Sund
Journal:  Scand J Public Health       Date:  2012-08-16       Impact factor: 3.021

4.  Time-window bias in case-control studies: statins and lung cancer.

Authors:  Samy Suissa; Sophie Dell'aniello; Sarah Vahey; Christel Renoux
Journal:  Epidemiology       Date:  2011-03       Impact factor: 4.822

5.  Cholesterol uptake and regulation in high-grade and lethal prostate cancers.

Authors:  Konrad H Stopsack; Travis A Gerke; Ove Andrén; Swen-Olof Andersson; Edward L Giovannucci; Lorelei A Mucci; Jennifer R Rider
Journal:  Carcinogenesis       Date:  2017-08-01       Impact factor: 4.944

Review 6.  Cholesterol metabolism in cancer: mechanisms and therapeutic opportunities.

Authors:  Binlu Huang; Bao-Liang Song; Chenqi Xu
Journal:  Nat Metab       Date:  2020-02-10

7.  THE METABOLISM OF TUMORS IN THE BODY.

Authors:  O Warburg; F Wind; E Negelein
Journal:  J Gen Physiol       Date:  1927-03-07       Impact factor: 4.086

8.  Patterns of statin initiation and continuation in patients with breast or colorectal cancer, towards end-of-life.

Authors:  Amelia Smith; Laura Murphy; Kathleen Bennett; Thomas I Barron
Journal:  Support Care Cancer       Date:  2017-01-18       Impact factor: 3.603

9.  Interplay between hypoxia and androgen controls a metabolic switch conferring resistance to androgen/AR-targeted therapy.

Authors:  Hao Geng; Changhui Xue; Janet Mendonca; Xiao-Xin Sun; Qiong Liu; Patrick N Reardon; Yingxiao Chen; Kendrick Qian; Vivian Hua; Alice Chen; Freddy Pan; Julia Yuan; Sang Dang; Tomasz M Beer; Mu-Shui Dai; Sushant K Kachhap; David Z Qian
Journal:  Nat Commun       Date:  2018-11-26       Impact factor: 14.919

10.  Metformin use and prostate cancer risk: A meta-analysis of cohort studies.

Authors:  Zhaohan Feng; Xiaofeng Zhou; Naibo Liu; Jianfeng Wang; Xing Chen; Xin Xu
Journal:  Medicine (Baltimore)       Date:  2019-03       Impact factor: 1.889

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  2 in total

1.  Antihypertensive Drug Use and the Risk of Ovarian Cancer Death among Finnish Ovarian Cancer Patients-A Nationwide Cohort Study.

Authors:  Eerik E E Santala; Miia Artama; Eero Pukkala; Kala Visvanathan; Synnöve Staff; Teemu J Murtola
Journal:  Cancers (Basel)       Date:  2021-04-26       Impact factor: 6.639

2.  Prostate Cancer-specific Survival After Radical Prostatectomy Is Improved Among Metformin Users but Not Among Other Antidiabetic Drug Users.

Authors:  Roni M Joentausta; Antti Rannikko; Teemu J Murtola
Journal:  Eur Urol Open Sci       Date:  2021-11-17
  2 in total

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