A Case Study Comparing a Meta-Analysis and a Pooled Analysis of Studies of Sinonasal Cancer among Wood Workers

作者
Ian Gordon,Paolo Boffetta,Paul A. Demers
出处
期刊:Epidemiology [Lippincott Williams & Wilkins]
卷期号:9 (5): 518-524 被引量:96
标识
DOI:10.1097/00001648-199809000-00008
摘要

A pooled analysis of raw data from 12 case-control studies of sinonasal cancer has recently been conducted by the International Agency for Research on Cancer; the summary odds ratio for all wood-related occupations was 2.0 (95% confidence interval = 1.6-2.5). We have conducted a meta-analysis of the published results of 14 studies on the same topic, including 11 studies from the pooled analysis, and compared the results for several categories of wood workers. Usable results were available for 12 studies: male wood workers had a summary odds ratio of sinonasal cancer of 2.6 (95% confidence interval = 2.1-3.3). The corresponding value based only on the studies that were also included in the pooled analysis was 2.4 (95% confidence interval = 1.9-3.0). When our meta-analysis was based on a relatively large number of studies, results tended to be higher than those of the pooled analysis. As compared with the meta-analysis, the pooled analysis controlled the effect of publication bias by using data from studies for which no specific result was reported, and it reduced misclassification of exposure; the resources used in the pooled analysis, however, were one order of magnitude greater than those needed for the meta-analysis. Whether a pooled analysis of raw data or a meta-analysis should be carried out depends on the research question; we propose some criteria for this decision.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Menand完成签到,获得积分10
刚刚
1秒前
nn完成签到 ,获得积分10
1秒前
诗谙完成签到,获得积分20
1秒前
1秒前
乐枳发布了新的文献求助10
1秒前
文艺香旋完成签到,获得积分10
1秒前
zhu2026完成签到,获得积分10
3秒前
躺平的咸鱼完成签到,获得积分10
3秒前
柯柯完成签到,获得积分10
3秒前
与11111完成签到,获得积分20
4秒前
二两白茶完成签到 ,获得积分10
4秒前
称心的小天鹅完成签到,获得积分10
5秒前
文静易形发布了新的文献求助10
5秒前
6秒前
灵巧完成签到,获得积分10
6秒前
一颗西米子完成签到,获得积分10
7秒前
8秒前
Kao应助与11111采纳,获得10
10秒前
七七不爱喝水完成签到,获得积分10
11秒前
Lu完成签到,获得积分10
12秒前
12秒前
木子木子粒完成签到 ,获得积分10
12秒前
乐进完成签到,获得积分10
12秒前
14秒前
舒适的金针菇完成签到,获得积分10
16秒前
fx完成签到 ,获得积分10
16秒前
碳水仙人完成签到 ,获得积分10
16秒前
满船清梦压星河完成签到 ,获得积分10
16秒前
甜心完成签到,获得积分10
17秒前
LEE123完成签到,获得积分10
18秒前
19秒前
19秒前
20秒前
21秒前
魏佳阁发布了新的文献求助10
22秒前
renshiq发布了新的文献求助10
23秒前
Lucky完成签到 ,获得积分10
25秒前
任白993应助NiL采纳,获得10
25秒前
轻松念之完成签到,获得积分10
26秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Health Psychology 800
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Electric machines: theory, operating applications, and controls 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
When Is Two-Stage Sample Robust Optimization Asymptotically Optimal? 500
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7593046
求助须知:如何正确求助?哪些是违规求助? 9170282
关于积分的说明 19627955
捐赠科研通 7170993
什么是DOI,文献DOI怎么找? 3267554
关于科研通互助平台的介绍 2432418
邀请新用户注册赠送积分活动 2260134