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Publication Name World Journal of Meta-Analysis
Manuscript ID 44816
Country United Kingdom
Category Medicine, Research & Experimental
Manuscript Type Meta-Analysis
Article Title Misclassification of smoking habits: An updated review of the literature
Manuscript Source Unsolicited Manuscript
All Author List Janette S Hamling, Katharine J Coombs and Peter N Lee
Funding Agency and Grant Number
Corresponding Author Peter N Lee, MA, MSc, Director, Senior Statistician, Statistics, P.N. Lee Statistics and Computing Ltd., 17 Cedar Road, Sutton SM2 5DA, United Kingdom. peterlee@pnlee.co.uk
Key Words Misclassification; Smoking; Cotinine; Cigarettes; Tobacco use; E-cigarettes; Passive smoking; Bias; Systematic review; Meta-analysis
Core Tip We update a meta-analysis of evidence on accuracy of reported smoking, using cotinine as a marker. From 200+ studies, we estimated various misclassification rates. True smokers represented 3.00% (2.45%-3.54%) of reported never smokers and 10.92% (9.23%-12.61%) of reported ex-smokers. Reported never and ex-smokers formed 5.70% (3.20%-8.20%) and 8.93% (6.57%-11.29%) of true smokers. Falsely claiming never smoking was extremely common in Asian women. Rates of falsely claiming quitting were high in pregnant women and diseased individuals advised to quit. Smoking misclassification causes overestimation of true passive smoking relationships, a problem exacerbated by increasing misclassification rates in recently published studies.
Citation Hamling JS, Coombs KJ, Lee PN. Misclassification of smoking habits: An updated review of the literature. World J Meta-Anal 2019; 7(2): 31-50
Received
2018-11-29 05:34
Peer-Review Started
2018-11-29 06:59
To Make the First Decision
2018-12-17 07:04
Return for Revision
2018-12-24 01:19
Revised
2019-01-21 00:13
Second Decision
2019-01-21 03:06
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2019-01-21 04:39
Articles in Press
2019-01-21 04:39
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
2019-01-28 06:21
ISSN 2308-3840 (online)
Open Access This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Copyright © The Author(s) 2019. Published by Baishideng Publishing Group Inc. All rights reserved.
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