Alcohol intake and gastric cancer: Meta-analyses of published data versus individual participant data pooled analyses (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 Yu, Domenico Palli, Monica Ferraroni, Joshua Muscat, Reza Malekzadeh, Weimin Ye, Huan Song, David Zaridze & 23 others Dmitry Maximovitch, Nerea Fernández de Larrea, Manolis Kogevinas, 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 Lagiou, Paolo Boffetta, Stefania Boccia, Eva Negri, Carlo La Vecchia, Bárbara Peleteiro, Nuno Lunet

Research output: Contribution to journalArticle

Abstract

Background: Individual participant data pooled analyses allow access to non-published data and statistical reanalyses based on more homogeneous criteria than meta-analyses based on systematic reviews. We quantified the impact of publication-related biases and heterogeneity in data analysis and presentation in summary estimates of the association between alcohol drinking and gastric cancer. Methods: We compared estimates obtained from conventional meta-analyses, using only data available in published reports from studies that take part in the Stomach Cancer Pooling (StoP) Project, with individual participant data pooled analyses including the same studies. Results: A total of 22 studies from the StoP Project assessed the relation between alcohol intake and gastric cancer, 19 had specific data for levels of consumption and 18 according to cancer location; published reports addressing these associations were available from 18, 5 and 5 studies, respectively. The summary odds ratios [OR, (95%CI)] estimate obtained with published data for drinkers vs. non-drinkers was 10% higher than the one obtained with individual StoP data [18 vs. 22 studies: 1.21 (1.07–1.36) vs. 1.10 (0.99–1.23)] and more heterogeneous (I2: 63.6% vs 54.4%). In general, published data yielded less precise summary estimates (standard errors up to 2.6 times higher). Funnel plot analysis suggested publication bias. Conclusion: Meta-analyses of the association between alcohol drinking and gastric cancer tended to overestimate the magnitude of the effects, possibly due to publication bias. Additionally, individual participant data pooled analyses yielded more precise estimates for different levels of exposure or cancer subtypes.

LanguageEnglish (US)
Pages125-132
Number of pages8
JournalCancer Epidemiology
Volume54
DOIs
StatePublished - Jun 1 2018

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Stomach Neoplasms
Meta-Analysis
Alcohols
Publication Bias
Alcohol Drinking
Neoplasms
Odds Ratio

All Science Journal Classification (ASJC) codes

  • Epidemiology
  • Oncology
  • Cancer Research

Cite this

Ferro, Ana ; Morais, Samantha ; Rota, Matteo ; Pelucchi, Claudio ; Bertuccio, Paola ; Bonzi, Rossella ; Galeone, Carlotta ; Zhang, Zuo Feng ; Matsuo, Keitaro ; Ito, Hidemi ; Hu, Jinfu ; Johnson, Kenneth C. ; Yu, Guo Pei ; Palli, Domenico ; Ferraroni, Monica ; Muscat, Joshua ; Malekzadeh, Reza ; Ye, Weimin ; Song, Huan ; Zaridze, David ; Maximovitch, Dmitry ; Fernández de Larrea, Nerea ; Kogevinas, Manolis ; Vioque, Jesus ; Navarrete-Muñoz, Eva M. ; Pakseresht, Mohammadreza ; Pourfarzi, Farhad ; Wolk, Alicja ; Orsini, Nicola ; Bellavia, Andrea ; Håkansson, Niclas ; Mu, Lina ; Pastorino, Roberta ; Kurtz, Robert C. ; Derakhshan, Mohammad H. ; Lagiou, Areti ; Lagiou, Pagona ; Boffetta, Paolo ; Boccia, Stefania ; Negri, Eva ; La Vecchia, Carlo ; Peleteiro, Bárbara ; Lunet, Nuno. / Alcohol intake and gastric cancer : Meta-analyses of published data versus individual participant data pooled analyses (StoP Project). In: Cancer Epidemiology. 2018 ; Vol. 54. pp. 125-132
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abstract = "Background: Individual participant data pooled analyses allow access to non-published data and statistical reanalyses based on more homogeneous criteria than meta-analyses based on systematic reviews. We quantified the impact of publication-related biases and heterogeneity in data analysis and presentation in summary estimates of the association between alcohol drinking and gastric cancer. Methods: We compared estimates obtained from conventional meta-analyses, using only data available in published reports from studies that take part in the Stomach Cancer Pooling (StoP) Project, with individual participant data pooled analyses including the same studies. Results: A total of 22 studies from the StoP Project assessed the relation between alcohol intake and gastric cancer, 19 had specific data for levels of consumption and 18 according to cancer location; published reports addressing these associations were available from 18, 5 and 5 studies, respectively. The summary odds ratios [OR, (95{\%}CI)] estimate obtained with published data for drinkers vs. non-drinkers was 10{\%} higher than the one obtained with individual StoP data [18 vs. 22 studies: 1.21 (1.07–1.36) vs. 1.10 (0.99–1.23)] and more heterogeneous (I2: 63.6{\%} vs 54.4{\%}). In general, published data yielded less precise summary estimates (standard errors up to 2.6 times higher). Funnel plot analysis suggested publication bias. Conclusion: Meta-analyses of the association between alcohol drinking and gastric cancer tended to overestimate the magnitude of the effects, possibly due to publication bias. Additionally, individual participant data pooled analyses yielded more precise estimates for different levels of exposure or cancer subtypes.",
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 Yu, {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 {Fern{\'a}ndez de Larrea}, Nerea and Manolis Kogevinas 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 Lagiou and Paolo Boffetta and Stefania Boccia and Eva Negri and {La Vecchia}, Carlo and B{\'a}rbara Peleteiro and Nuno Lunet",
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month = "6",
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doi = "10.1016/j.canep.2018.04.009",
language = "English (US)",
volume = "54",
pages = "125--132",
journal = "Cancer Epidemiology",
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Ferro, A, Morais, S, Rota, M, Pelucchi, C, Bertuccio, P, Bonzi, R, Galeone, C, Zhang, ZF, Matsuo, K, Ito, H, Hu, J, Johnson, KC, Yu, GP, Palli, D, Ferraroni, M, Muscat, J, Malekzadeh, R, Ye, W, Song, H, Zaridze, D, Maximovitch, D, Fernández de Larrea, N, Kogevinas, M, 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, Lagiou, P, Boffetta, P, Boccia, S, Negri, E, La Vecchia, C, Peleteiro, B & Lunet, N 2018, 'Alcohol intake and gastric cancer: Meta-analyses of published data versus individual participant data pooled analyses (StoP Project)' Cancer Epidemiology, vol. 54, pp. 125-132. DOI: 10.1016/j.canep.2018.04.009

Alcohol intake and gastric cancer : Meta-analyses of published data versus individual participant data pooled analyses (StoP Project). / Ferro, Ana; Morais, Samantha; Rota, Matteo; Pelucchi, Claudio; Bertuccio, Paola; Bonzi, Rossella; Galeone, Carlotta; Zhang, Zuo Feng; Matsuo, Keitaro; Ito, Hidemi; Hu, Jinfu; Johnson, Kenneth C.; Yu, Guo Pei; Palli, Domenico; Ferraroni, Monica; Muscat, Joshua; Malekzadeh, Reza; Ye, Weimin; Song, Huan; Zaridze, David; Maximovitch, Dmitry; Fernández de Larrea, Nerea; Kogevinas, Manolis; Vioque, Jesus; Navarrete-Muñoz, Eva M.; Pakseresht, Mohammadreza; Pourfarzi, Farhad; Wolk, Alicja; Orsini, Nicola; Bellavia, Andrea; Håkansson, Niclas; Mu, Lina; Pastorino, Roberta; Kurtz, Robert C.; Derakhshan, Mohammad H.; Lagiou, Areti; Lagiou, Pagona; Boffetta, Paolo; Boccia, Stefania; Negri, Eva; La Vecchia, Carlo; Peleteiro, Bárbara; Lunet, Nuno.

In: Cancer Epidemiology, Vol. 54, 01.06.2018, p. 125-132.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Alcohol intake and gastric cancer

T2 - Cancer Epidemiology

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 - Yu,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 - Fernández de Larrea,Nerea

AU - Kogevinas,Manolis

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 - Lagiou,Pagona

AU - Boffetta,Paolo

AU - Boccia,Stefania

AU - Negri,Eva

AU - La Vecchia,Carlo

AU - Peleteiro,Bárbara

AU - Lunet,Nuno

PY - 2018/6/1

Y1 - 2018/6/1

N2 - Background: Individual participant data pooled analyses allow access to non-published data and statistical reanalyses based on more homogeneous criteria than meta-analyses based on systematic reviews. We quantified the impact of publication-related biases and heterogeneity in data analysis and presentation in summary estimates of the association between alcohol drinking and gastric cancer. Methods: We compared estimates obtained from conventional meta-analyses, using only data available in published reports from studies that take part in the Stomach Cancer Pooling (StoP) Project, with individual participant data pooled analyses including the same studies. Results: A total of 22 studies from the StoP Project assessed the relation between alcohol intake and gastric cancer, 19 had specific data for levels of consumption and 18 according to cancer location; published reports addressing these associations were available from 18, 5 and 5 studies, respectively. The summary odds ratios [OR, (95%CI)] estimate obtained with published data for drinkers vs. non-drinkers was 10% higher than the one obtained with individual StoP data [18 vs. 22 studies: 1.21 (1.07–1.36) vs. 1.10 (0.99–1.23)] and more heterogeneous (I2: 63.6% vs 54.4%). In general, published data yielded less precise summary estimates (standard errors up to 2.6 times higher). Funnel plot analysis suggested publication bias. Conclusion: Meta-analyses of the association between alcohol drinking and gastric cancer tended to overestimate the magnitude of the effects, possibly due to publication bias. Additionally, individual participant data pooled analyses yielded more precise estimates for different levels of exposure or cancer subtypes.

AB - Background: Individual participant data pooled analyses allow access to non-published data and statistical reanalyses based on more homogeneous criteria than meta-analyses based on systematic reviews. We quantified the impact of publication-related biases and heterogeneity in data analysis and presentation in summary estimates of the association between alcohol drinking and gastric cancer. Methods: We compared estimates obtained from conventional meta-analyses, using only data available in published reports from studies that take part in the Stomach Cancer Pooling (StoP) Project, with individual participant data pooled analyses including the same studies. Results: A total of 22 studies from the StoP Project assessed the relation between alcohol intake and gastric cancer, 19 had specific data for levels of consumption and 18 according to cancer location; published reports addressing these associations were available from 18, 5 and 5 studies, respectively. The summary odds ratios [OR, (95%CI)] estimate obtained with published data for drinkers vs. non-drinkers was 10% higher than the one obtained with individual StoP data [18 vs. 22 studies: 1.21 (1.07–1.36) vs. 1.10 (0.99–1.23)] and more heterogeneous (I2: 63.6% vs 54.4%). In general, published data yielded less precise summary estimates (standard errors up to 2.6 times higher). Funnel plot analysis suggested publication bias. Conclusion: Meta-analyses of the association between alcohol drinking and gastric cancer tended to overestimate the magnitude of the effects, possibly due to publication bias. Additionally, individual participant data pooled analyses yielded more precise estimates for different levels of exposure or cancer subtypes.

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DO - 10.1016/j.canep.2018.04.009

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JO - Cancer Epidemiology

JF - Cancer Epidemiology

SN - 1877-7821

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