Evaluation of Excess Statistical Significance in Meta-analyses of 98 Biomarker Associations with Cancer Risk

被引:64
作者
Tsilidis, Konstantinos K. [4 ]
Papatheodorou, Stefania I. [4 ]
Evangelou, Evangelos [4 ]
Ioannidis, John P. A. [1 ,2 ,3 ,4 ]
机构
[1] Stanford Univ, Stanford Prevent Res Ctr, Dept Med, Sch Med, Stanford, CA 94350 USA
[2] Stanford Univ, Sch Med, Dept Hlth Res & Policy, Stanford, CA 94350 USA
[3] Stanford Univ, Dept Stat, Stanford, CA 94350 USA
[4] Univ Ioannina, Sch Med, Dept Hyg & Epidemiol, GR-45110 Ioannina, Greece
来源
JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE | 2012年 / 104卷 / 24期
关键词
C-REACTIVE PROTEIN; HELICOBACTER-PYLORI INFECTION; PROSTATE-CANCER; COLORECTAL-CANCER; BREAST-CANCER; LUNG-CANCER; EMPIRICAL-EVIDENCE; RANDOMIZED-TRIALS; PUBLICATION BIAS; REPORTING BIAS;
D O I
10.1093/jnci/djs437
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Numerous biomarkers have been associated with cancer risk. We assessed whether there is evidence for excess statistical significance in results of cancer biomarker studies, suggesting biases. We systematically searched PubMed for meta-analyses of nongenetic biomarkers and cancer risk. The number of observed studies with statistically significant results was compared with the expected number, based on the statistical power of each study under different assumptions for the plausible effect size. We also evaluated small-study effects using asymmetry tests. All statistical tests were two-sided. We included 98 meta-analyses with 847 studies. Forty-three meta-analyses (44%) found nominally statistically significant summary effects (random effects). The proportion of meta-analyses with statistically significant effects was highest for infectious agents (86%), inflammatory (67%), and insulin-like growth factor (IGF)/insulin system (52%) biomarkers. Overall, 269 (32%) individual studies observed nominally statistically significant results. A statistically significant excess of the observed over the expected number of studies with statistically significant results was seen in 20 meta-analyses. An excess of observed vs expected was observed in studies of IGF/insulin (P .04) and inflammation systems (P .02). Only 12 meta-analyses (12%) had a statistically significant summary effect size, more than 1000 case patients, and no hints of small-study effects or excess statistical significance; only four of them had large effect sizes, three of which pertained to infectious agents (Helicobacter pylori, hepatitis and human papilloma viruses). Most well-documented biomarkers of cancer risk without evidence of bias pertain to infectious agents. Conversely, an excess of statistically significant findings was observed in studies of IGF/insulin and inflammation systems, suggesting reporting biases. J Natl Cancer Inst 2012;104:1867-1878
引用
收藏
页码:1867 / 1878
页数:12
相关论文
共 82 条
[1]   EQUATOR: reporting guidelines for health research [J].
Altman, Douglas G. ;
Simera, Iveta ;
Hoey, John ;
Moher, David ;
Schutz, Ken .
LANCET, 2008, 371 (9619) :1149-1150
[2]  
[Anonymous], 2005, BMJ-BRIT MED J
[3]   Urinary estrogen metabolites and prostate cancer: a case-control study and meta-analysis [J].
Barba, Maddalena ;
Yang, Li ;
Schuenemann, Holger J. ;
Sperati, Francesca ;
Grioni, Sara ;
Stranges, Saverio ;
Westerlind, Kim C. ;
Blandino, Giovanni ;
Gallucci, Michele ;
Lauria, Rossella ;
Malorni, Luca ;
Muti, Paola .
JOURNAL OF EXPERIMENTAL & CLINICAL CANCER RESEARCH, 2009, 28
[4]   Celecoxib for the prevention of sporadic colorectal adenomas [J].
Bertagnolli, Monica M. ;
Eagle, Craig J. ;
Zauber, Ann G. ;
Redston, Mark ;
Solomon, Scott D. ;
Kim, KyungMann ;
Tang, Jie ;
Rosenstein, Rebecca B. ;
Wittes, Janet ;
Corle, Donald ;
Hess, Timothy M. ;
Woloj, G. Mabel ;
Boisserie, Frederic ;
Anderson, William F. ;
Viner, Jaye L. ;
Bagheri, Donya ;
Burn, John ;
Chung, Daniel C. ;
Dewar, Thomas ;
Foley, T. Raymond ;
Hoffman, Neville ;
Macrae, Finlay ;
Pruitt, Ronald E. ;
Saltzman, John R. ;
Salzberg, Bruce ;
Sylwestrowicz, Thomas ;
Gordon, Gary B. ;
Hawk, Ernest T. .
NEW ENGLAND JOURNAL OF MEDICINE, 2006, 355 (09) :873-884
[5]   The Thin Line Between Hope and Hype in Biomarker Research [J].
Bossuyt, Patrick M. M. .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2011, 305 (21) :2229-2230
[6]   Diet, nutrition and cancer: public, media and scientific confusion [J].
Boyle, P. ;
Boffetta, P. ;
Autier, P. .
ANNALS OF ONCOLOGY, 2008, 19 (10) :1665-1667
[7]   Meta-analyses of lignans and enterolignans in relation to breast cancer risk [J].
Buck, Katharina ;
Zaineddin, Aida Karina ;
Vrieling, Alina ;
Linseisen, Jakob ;
Chang-Claude, Jenny .
AMERICAN JOURNAL OF CLINICAL NUTRITION, 2010, 92 (01) :141-153
[8]   Outcome reporting bias in randomized trials funded by the Canadian Institutes of Health Research [J].
Chan, AW ;
Krieza-Jeric, K ;
Schmid, I ;
Altman, DG .
CANADIAN MEDICAL ASSOCIATION JOURNAL, 2004, 171 (07) :735-740
[9]   Empirical evidence for selective reporting of outcomes in randomized trials -: Comparison of Protocols to published articles [J].
Chan, AW ;
Hróbjartsson, A ;
Haahr, MT ;
Gotzsche, PC ;
Altman, DG .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2004, 291 (20) :2457-2465
[10]   IGF-I and IGFBP-3 and the risk of lung cancer: A meta-analysis based on nested case-control studies [J].
Chen, Bo ;
Liu, Shan ;
Xu, Wei ;
Wang, Xueli ;
Zhao, Weihong ;
Wu, Jianqing .
JOURNAL OF EXPERIMENTAL & CLINICAL CANCER RESEARCH, 2009, 28