Tobacco smoking and gastric cancer: Meta-Analyses of published data versus pooled analyses of individual participant data (StoP Project)

Ana Ferro; Samantha Morais; Matteo Rota; Claudio Pelucchi; Paola Bertuccio; Rossella Bonzi; Carlotta Galeone; Zuo Feng Zhang; Keitaro Matsuo; Hidemi Ito; Jinfu Hu; Kenneth C. Johnson; Guo Pei Yuo; Domenico Palli; Monica Ferraroni; Joshua Muscat; Reza Malekzadeh; Weimin Ye; Huan Song; David Zaridze; Dmitry Maximovitch; Nuria Aragonés; Gemma Castaño-Vinyals; Jesus Vioque; Eva M. Navarrete-Muñoz; Mohammadreza Pakseresht; Farhad Pourfarzi; Alicja Wolk; Nicola Orsini; Andrea Bellavia; Niclas Håkansson; Lina Mu; Roberta Pastorino; Robert C. Kurtz; Mohammad H. Derakhshan; Areti Lagiou; Pagona Lagioul; Paolo Boffetta; Stefania Boccia; Eva Negri; Carlo La Vecchia; Bárbara Peleteiro; Nuno Lunet

doi:10.1097/CEJ.0000000000000401

Tobacco smoking and gastric cancer: Meta-Analyses of published data versus pooled analyses of individual participant data (StoP Project)

Ana Ferro
, Samantha Morais
, Matteo Rota
, Claudio Pelucchi
, Paola Bertuccio
, Rossella Bonzi
, Carlotta Galeone
, Zuo Feng Zhang
, Keitaro Matsuo
, Hidemi Ito
, Jinfu Hu
, Kenneth C. Johnson
, Guo Pei Yuo
, Domenico Palli
, Monica Ferraroni
, Joshua Muscat
, Reza Malekzadeh
, Weimin Ye
, Huan Song
, David Zaridze

Dmitry Maximovitch, Nuria Aragonés, Gemma Castaño-Vinyals, Jesus Vioque, Eva M. Navarrete-Muñoz, Mohammadreza Pakseresht, Farhad Pourfarzi, Alicja Wolk, Nicola Orsini, Andrea Bellavia, Niclas Håkansson, Lina Mu, Roberta Pastorino, Robert C. Kurtz, Mohammad H. Derakhshan, Areti Lagiou, Pagona Lagioul, Paolo Boffetta, Stefania Boccia, Eva Negri, Carlo La Vecchia, Bárbara Peleteiro, Nuno Lunet

Family , Population and Preventative Medicine

University of Porto
Department of Biomedical and Clinical Sciences
University of Milan
IRCCS San Raffaele Pisana - Roma
University of California at Los Angeles
Aichi Cancer Center Hospital and Research Institute
Harbin Medical University
University of Ottawa
Peking University
Centro Per Lo Studio E La Prevenzione Oncologica
Icahn School of Medicine at Mount Sinai
Tehran University of Medical Sciences
Department of Medical Epidemiology and Biostatistics
Blokhin Cancer Research Center
Instituto de Salud Carlos III
CIBER Epidemiología y Salud Pública (CIBERESP)
Oncology and Hematology Area
ISGlobal
Hospital del Mar
Pompeu Fabra University
Miguel Hernández University
University of Alberta
University of Leeds
Ardabil University of Medical Sciences
Karolinska Institutet
SUNY Buffalo
Catholic University of the Sacred Heart
Memorial Sloan-Kettering Cancer Center
University of Glasgow
University of West Attica
Harvard University
National and Kapodistrian University of Athens

Research output: Contribution to journal › Article › peer-review

43 Scopus citations

Abstract

Tobacco smoking is one of the main risk factors for gastric cancer, but the magnitude of the association estimated by conventional systematic reviews and meta-Analyses might be inaccurate, due to heterogeneous reporting of data and publication bias. We aimed to quantify the combined impact of publication-related biases, and heterogeneity in data analysis or presentation, in the summary estimates obtained from conventional meta-Analyses. We compared results from individual participant data pooled-Analyses, including the studies in the Stomach Cancer Pooling (StoP) Project, with conventional meta-Analyses carried out using only data available in previously published reports from the same studies. Fromthe 23 studies in the StoP Project, 20 had published reports with information on smoking and gastric cancer, but only six had specific data for gastric cardia cancer and seven had data on the daily number of cigarettes smoked. Compared to the results obtained with the StoP database, conventional meta-Analyses overvalued the relation between ever smoking (summary odds ratios ranging from 7% higher for all studies to 22% higher for the risk of gastric cardia cancer) and yielded less precise summary estimates (SE ≤2.4 times higher). Additionally, funnel plot asymmetry and corresponding hypotheses tests were suggestive of publication bias. Conventional meta-Analyses and individual participant data pooled-Analyses reached similar conclusions on the direction of the association between smoking and gastric cancer. However, published data tended to overestimate the magnitude of the effects, possibly due to publication biases and limited the analyses by different levels of exposure or cancer subtypes.

Original language	English
Pages (from-to)	197-204
Number of pages	8
Journal	European Journal of Cancer Prevention
Volume	27
Issue number	3
DOIs	https://doi.org/10.1097/CEJ.0000000000000401
State	Published - 2018

Keywords

Gastric cancer
Individual participant data
Meta-Analysis
Pooled analysis
Tobacco

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10.1097/CEJ.0000000000000401

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Ferro, A., Morais, S., Rota, M., Pelucchi, C., Bertuccio, P., Bonzi, R., Galeone, C., Zhang, Z. F., Matsuo, K., Ito, H., Hu, J., Johnson, K. C., Yuo, G. P., Palli, D., Ferraroni, M., Muscat, J., Malekzadeh, R., Ye, W., Song, H., ... Lunet, N. (2018). Tobacco smoking and gastric cancer: Meta-Analyses of published data versus pooled analyses of individual participant data (StoP Project). European Journal of Cancer Prevention, 27(3), 197-204. https://doi.org/10.1097/CEJ.0000000000000401

@article{7e574153182d4263ac0fff991c102c25,

title = "Tobacco smoking and gastric cancer: Meta-Analyses of published data versus pooled analyses of individual participant data (StoP Project)",

abstract = "Tobacco smoking is one of the main risk factors for gastric cancer, but the magnitude of the association estimated by conventional systematic reviews and meta-Analyses might be inaccurate, due to heterogeneous reporting of data and publication bias. We aimed to quantify the combined impact of publication-related biases, and heterogeneity in data analysis or presentation, in the summary estimates obtained from conventional meta-Analyses. We compared results from individual participant data pooled-Analyses, including the studies in the Stomach Cancer Pooling (StoP) Project, with conventional meta-Analyses carried out using only data available in previously published reports from the same studies. Fromthe 23 studies in the StoP Project, 20 had published reports with information on smoking and gastric cancer, but only six had specific data for gastric cardia cancer and seven had data on the daily number of cigarettes smoked. Compared to the results obtained with the StoP database, conventional meta-Analyses overvalued the relation between ever smoking (summary odds ratios ranging from 7\% higher for all studies to 22\% higher for the risk of gastric cardia cancer) and yielded less precise summary estimates (SE ≤2.4 times higher). Additionally, funnel plot asymmetry and corresponding hypotheses tests were suggestive of publication bias. Conventional meta-Analyses and individual participant data pooled-Analyses reached similar conclusions on the direction of the association between smoking and gastric cancer. However, published data tended to overestimate the magnitude of the effects, possibly due to publication biases and limited the analyses by different levels of exposure or cancer subtypes.",

keywords = "Gastric cancer, Individual participant data, Meta-Analysis, Pooled analysis, Tobacco",

author = "Ana Ferro and Samantha Morais and Matteo Rota and Claudio Pelucchi and Paola Bertuccio and Rossella Bonzi and Carlotta Galeone and Zhang, \{Zuo Feng\} and Keitaro Matsuo and Hidemi Ito and Jinfu Hu and Johnson, \{Kenneth C.\} and Yuo, \{Guo Pei\} and Domenico Palli and Monica Ferraroni and Joshua Muscat and Reza Malekzadeh and Weimin Ye and Huan Song and David Zaridze and Dmitry Maximovitch and Nuria Aragon{\'e}s and Gemma Casta{\~n}o-Vinyals and Jesus Vioque and Navarrete-Mu{\~n}oz, \{Eva M.\} and Mohammadreza Pakseresht and Farhad Pourfarzi and Alicja Wolk and Nicola Orsini and Andrea Bellavia and Niclas H{\aa}kansson and Lina Mu and Roberta Pastorino and Kurtz, \{Robert C.\} and Derakhshan, \{Mohammad H.\} and Areti Lagiou and Pagona Lagioul and Paolo Boffetta and Stefania Boccia and Eva Negri and Vecchia, \{Carlo La\} and B{\'a}rbara Peleteiro and Nuno Lunet",

year = "2018",

doi = "10.1097/CEJ.0000000000000401",

language = "English",

volume = "27",

pages = "197--204",

journal = "European Journal of Cancer Prevention",

issn = "0959-8278",

number = "3",

}

Ferro, A, Morais, S, Rota, M, Pelucchi, C, Bertuccio, P, Bonzi, R, Galeone, C, Zhang, ZF, Matsuo, K, Ito, H, Hu, J, Johnson, KC, Yuo, GP, Palli, D, Ferraroni, M, Muscat, J, Malekzadeh, R, Ye, W, Song, H, Zaridze, D, Maximovitch, D, Aragonés, N, Castaño-Vinyals, G, Vioque, J, Navarrete-Muñoz, EM, Pakseresht, M, Pourfarzi, F, Wolk, A, Orsini, N, Bellavia, A, Håkansson, N, Mu, L, Pastorino, R, Kurtz, RC, Derakhshan, MH, Lagiou, A, Lagioul, P, Boffetta, P, Boccia, S, Negri, E, Vecchia, CL, Peleteiro, B & Lunet, N 2018, 'Tobacco smoking and gastric cancer: Meta-Analyses of published data versus pooled analyses of individual participant data (StoP Project)', European Journal of Cancer Prevention, vol. 27, no. 3, pp. 197-204. https://doi.org/10.1097/CEJ.0000000000000401

TY - JOUR

T1 - Tobacco smoking and gastric cancer

T2 - Meta-Analyses of published data versus pooled analyses of individual participant data (StoP Project)

AU - Ferro, Ana

AU - Morais, Samantha

AU - Rota, Matteo

AU - Pelucchi, Claudio

AU - Bertuccio, Paola

AU - Bonzi, Rossella

AU - Galeone, Carlotta

AU - Zhang, Zuo Feng

AU - Matsuo, Keitaro

AU - Ito, Hidemi

AU - Hu, Jinfu

AU - Johnson, Kenneth C.

AU - Yuo, Guo Pei

AU - Palli, Domenico

AU - Ferraroni, Monica

AU - Muscat, Joshua

AU - Malekzadeh, Reza

AU - Ye, Weimin

AU - Song, Huan

AU - Zaridze, David

AU - Maximovitch, Dmitry

AU - Aragonés, Nuria

AU - Castaño-Vinyals, Gemma

AU - Vioque, Jesus

AU - Navarrete-Muñoz, Eva M.

AU - Pakseresht, Mohammadreza

AU - Pourfarzi, Farhad

AU - Wolk, Alicja

AU - Orsini, Nicola

AU - Bellavia, Andrea

AU - Håkansson, Niclas

AU - Mu, Lina

AU - Pastorino, Roberta

AU - Kurtz, Robert C.

AU - Derakhshan, Mohammad H.

AU - Lagiou, Areti

AU - Lagioul, Pagona

AU - Boffetta, Paolo

AU - Boccia, Stefania

AU - Negri, Eva

AU - Vecchia, Carlo La

AU - Peleteiro, Bárbara

AU - Lunet, Nuno

PY - 2018

Y1 - 2018

N2 - Tobacco smoking is one of the main risk factors for gastric cancer, but the magnitude of the association estimated by conventional systematic reviews and meta-Analyses might be inaccurate, due to heterogeneous reporting of data and publication bias. We aimed to quantify the combined impact of publication-related biases, and heterogeneity in data analysis or presentation, in the summary estimates obtained from conventional meta-Analyses. We compared results from individual participant data pooled-Analyses, including the studies in the Stomach Cancer Pooling (StoP) Project, with conventional meta-Analyses carried out using only data available in previously published reports from the same studies. Fromthe 23 studies in the StoP Project, 20 had published reports with information on smoking and gastric cancer, but only six had specific data for gastric cardia cancer and seven had data on the daily number of cigarettes smoked. Compared to the results obtained with the StoP database, conventional meta-Analyses overvalued the relation between ever smoking (summary odds ratios ranging from 7% higher for all studies to 22% higher for the risk of gastric cardia cancer) and yielded less precise summary estimates (SE ≤2.4 times higher). Additionally, funnel plot asymmetry and corresponding hypotheses tests were suggestive of publication bias. Conventional meta-Analyses and individual participant data pooled-Analyses reached similar conclusions on the direction of the association between smoking and gastric cancer. However, published data tended to overestimate the magnitude of the effects, possibly due to publication biases and limited the analyses by different levels of exposure or cancer subtypes.

AB - Tobacco smoking is one of the main risk factors for gastric cancer, but the magnitude of the association estimated by conventional systematic reviews and meta-Analyses might be inaccurate, due to heterogeneous reporting of data and publication bias. We aimed to quantify the combined impact of publication-related biases, and heterogeneity in data analysis or presentation, in the summary estimates obtained from conventional meta-Analyses. We compared results from individual participant data pooled-Analyses, including the studies in the Stomach Cancer Pooling (StoP) Project, with conventional meta-Analyses carried out using only data available in previously published reports from the same studies. Fromthe 23 studies in the StoP Project, 20 had published reports with information on smoking and gastric cancer, but only six had specific data for gastric cardia cancer and seven had data on the daily number of cigarettes smoked. Compared to the results obtained with the StoP database, conventional meta-Analyses overvalued the relation between ever smoking (summary odds ratios ranging from 7% higher for all studies to 22% higher for the risk of gastric cardia cancer) and yielded less precise summary estimates (SE ≤2.4 times higher). Additionally, funnel plot asymmetry and corresponding hypotheses tests were suggestive of publication bias. Conventional meta-Analyses and individual participant data pooled-Analyses reached similar conclusions on the direction of the association between smoking and gastric cancer. However, published data tended to overestimate the magnitude of the effects, possibly due to publication biases and limited the analyses by different levels of exposure or cancer subtypes.

KW - Gastric cancer

KW - Individual participant data

KW - Meta-Analysis

KW - Pooled analysis

KW - Tobacco

UR - https://www.scopus.com/pages/publications/85044872684

U2 - 10.1097/CEJ.0000000000000401

DO - 10.1097/CEJ.0000000000000401

M3 - Article

C2 - 29595756

AN - SCOPUS:85044872684

SN - 0959-8278

VL - 27

SP - 197

EP - 204

JO - European Journal of Cancer Prevention

JF - European Journal of Cancer Prevention

IS - 3

ER -

Tobacco smoking and gastric cancer: Meta-Analyses of published data versus pooled analyses of individual participant data (StoP Project)

Abstract

Keywords

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