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Facilitating meta‐analyses by deriving relative effect and precision estimates for alternative comparisons from a set of estimates presented by exposure level or disease category
Abstract
Epidemiological studies relating a particular exposure to a specified disease may present their results in a variety of ways. Often, results are presented as estimated odds ratios (or relative risks) and confidence intervals (CIs) for a number of categories of exposure, for example, by duration or level of exposure, compared with a single reference category, often the unexposed. For systematic literature review, and particularly meta‐analysis, estimates for an alternative comparison of the categories, such as any exposure versus none, may be required. Obtaining these alternative comparisons is not straightforward, as the initial set of estimates is correlated. This paper describes a method for estimating these alternative comparisons based on the ideas originally put forward by Greenland and Longnecker, and provides implementations of the method, developed using Microsoft Excel and SAS. Examples of the method based on studies of smoking and cancer are given. The method also deals with results given by categories of disease (such as histological types of a cancer). The method allows the use of a more consistent comparison when summarizing published evidence, thus potentially improving the reliability of a meta‐analysis. Copyright © 2007 John Wiley & Sons, Ltd.
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Cites
Methods for Trend Estimation from Summarized Dose-Response Data, with Applications to Meta-Analysis
Greenland, S., & Longnecker, M. P. (1992) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a116237 · Cited by 2,353
Multiple-bias modelling for analysis of observational data
Greenland, S. (2005) · Journal of the Royal Statistical Society Series A (Statistics in Society) · doi:10.1111/j.1467-985x.2004.00349.x · Cited by 497
Cited by
Patterson, R., McNamara, E., Tainio, M., de Sá, T. H., Smith, A. D., Sharp, S. J., Edwards, P., Woodcock, J., Brage, S., & Wijndaele, K. (2018) · European Journal of Epidemiology · doi:10.1007/s10654-018-0380-1 · Cited by 1,423
Alcohol consumption and site-specific cancer risk: a comprehensive dose–response meta-analysis
Bagnardi, V, Rota, M., Botteri, E., Tramacere, I., Islami, F., Fedirko, V, Scotti, L., Jenab, M., Turati, F., Pasquali, E., et al. (2015) · British Journal of Cancer · doi:10.1038/bjc.2014.579 · Cited by 1,342
Chan, D. S. M., Vieira, A. R., Aune, D., Bandera, E. V., Greenwood, D. C., McTiernan, A., Navarro Rosenblatt, D., Thune, I., Vieira, R., & Norat, T. (2014) · Annals of Oncology · doi:10.1093/annonc/mdu042 · Cited by 1,165
Aune, D., Norat, T., Leitzmann, M., Tonstad, S., & Vatten, L. J. (2015) · European Journal of Epidemiology · doi:10.1007/s10654-015-0056-z · Cited by 880
Yin, J., Jin, X., Shan, Z., Li, S., Huang, H., Li, P., Peng, X., Peng, Z., Yu, K., Bao, W., et al. (2017) · Journal of the American Heart Association · doi:10.1161/jaha.117.005947 · Cited by 721
Aune, D., Saugstad, O. D., Henriksen, T., & Tonstad, S. (2014) · JAMA · doi:10.1001/jama.2014.2269 · Cited by 631
Rosato, V., Temple, N. J., La Vecchia, C., Castellan, G., Tavani, A., & Guercio, V. (2019) · European Journal of Nutrition · doi:10.1007/s00394-017-1582-0 · Cited by 479
Vieira, A. R., Abar, L., Chan, D. S. M., Vingeliene, S., Polemiti, E., Stevens, C., Greenwood, D., & Norat, T. (2017) · Annals of Oncology · doi:10.1093/annonc/mdx171 · Cited by 452
Smith, A. D., Crippa, A., Woodcock, J., & Brage, S. (2016) · Diabetologia · doi:10.1007/s00125-016-4079-0 · Cited by 430
Light alcohol drinking and cancer: a meta-analysis
Bagnardi, V., Rota, M., Botteri, E., Tramacere, I., Islami, F., Fedirko, V., Scotti, L., Jenab, M., Turati, F., Pasquali, E., et al. (2013) · Annals of Oncology · doi:10.1093/annonc/mds337 · Cited by 424
Alcohol consumption and risk of liver cirrhosis: a systematic review and meta-analysis
Roerecke, M., Vafaei, A., Hasan, O. S. M., Chrystoja, B. R., Cruz, M., Lee, R., Neuman, M. G., & Rehm, J. (2019) · American Journal of Gastroenterology · doi:10.14309/ajg.0000000000000340 · Cited by 391
Liu, M., Wu, L., & Yao, S. (2016) · British Journal of Sports Medicine · doi:10.1136/bjsports-2015-095084 · Cited by 364
Knott, C., Bell, S., & Britton, A. (2015) · Diabetes Care · doi:10.2337/dc15-0710 · Cited by 375
One-stage dose–response meta-analysis for aggregated data
Crippa, A., Discacciati, A., Bottai, M., Spiegelman, D., & Orsini, N. (2019) · Statistical Methods in Medical Research · doi:10.1177/0962280218773122 · Cited by 365
Roerecke, M., & Rehm, J. (2014) · BMC Medicine · doi:10.1186/s12916-014-0182-6 · Cited by 342
Endometriosis and cancer: a systematic review and meta-analysis
Kvaskoff, M., Mahamat-Saleh, Y., Farland, L. V., Shigesi, N., Terry, K. L., Harris, H. R., Roman, H., Becker, C. M., As-Sanie, S., Zondervan, K. T., et al. (2021) · Human Reproduction Update · doi:10.1093/humupd/dmaa045 · Cited by 303
Aune, D., Navarro Rosenblatt, D. A., Chan, D. S. M., Vingeliene, S., Abar, L., Vieira, A. R., Greenwood, D. C., Bandera, E. V., & Norat, T. (2015) · Annals of Oncology · doi:10.1093/annonc/mdv142 · Cited by 288
Jayedi, A., Soltani, S., Motlagh, S. Z.-T., Emadi, A., Shahinfar, H., Moosavi, H., & Shab-Bidar, S. (2022) · BMJ · doi:10.1136/bmj-2021-067516 · Cited by 253
Grosso, G., Micek, A., Marventano, S., Castellano, S., Mistretta, A., Pajak, A., & Galvano, F. (2016) · Journal of Affective Disorders · doi:10.1016/j.jad.2016.08.011 · Cited by 244
Physical Activity and the Risk of Preeclampsia: A Systematic Review and Meta-Analysis
Aune, D., Saugstad, O. D., Henriksen, T., & Tonstad, S. (2014) · Epidemiology · doi:10.1097/ede.0000000000000036 · Cited by 244
Samokhvalov, A. V., Rehm, J., & Roerecke, M. (2015) · EBioMedicine · doi:10.1016/j.ebiom.2015.11.023 · Cited by 200
Tarp, J., Støle, A. P., Blond, K., & Grøntved, A. (2019) · Diabetologia · doi:10.1007/s00125-019-4867-4 · Cited by 173
Soltani, S., Arablou, T., Jayedi, A., & Salehi-Abargouei, A. (2020) · Nutrition Journal · doi:10.1186/s12937-020-00554-8 · Cited by 179
Cancer incidence and mortality among firefighters
Jalilian, H., Ziaei, M., Weiderpass, E., Rueegg, C. S., Khosravi, Y., & Kjaerheim, K. (2019) · International Journal of Cancer · doi:10.1002/ijc.32199 · Cited by 175
Chiu, H.-Y., Lee, H.-C., Chen, P.-Y., Lai, Y.-F., & Tu, Y.-K. (2018) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2018.07.003 · Cited by 165
Time Spent on Social Media and Risk of Depression in Adolescents: A Dose–Response Meta-Analysis
Liu, M., Kamper-DeMarco, K. E., Zhang, J., Xiao, J., Dong, D., & Xue, P. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19095164 · Cited by 167
Li, J., Wang, H., Li, M., Shen, Q., Li, X., Zhang, Y., Peng, J., Rong, X., & Peng, Y. (2020) · Addiction · doi:10.1111/add.14935 · Cited by 161
Gao, S.-Y., Wu, Q.-J., Sun, C., Zhang, T.-N., Shen, Z.-Q., Liu, C.-X., Gong, T.-T., Xu, X., Ji, C., Huang, D.-H., et al. (2018) · BMC Medicine · doi:10.1186/s12916-018-1193-5 · Cited by 152
Parity and risk of maternal cardiovascular disease: A dose–response meta-analysis of cohort studies
Li, W., Ruan, W., Lu, Z., & Wang, D. (2019) · European Journal of Preventive Cardiology · doi:10.1177/2047487318818265 · Cited by 139
Jayedi, A., Rashidy-Pour, A., Parohan, M., Zargar, M. S., & Shab-Bidar, S. (2018) · Advances in Nutrition · doi:10.1093/advances/nmy040 · Cited by 137
Gao, Y., Gan, T., Jiang, L., Yu, L., Tang, D., Wang, Y., Li, X., & Ding, G. (2020) · Chronobiology International · doi:10.1080/07420528.2019.1683570 · Cited by 134
Malerba, S., Turati, F., Galeone, C., Pelucchi, C., Verga, F., La Vecchia, C., & Tavani, A. (2013) · European Journal of Epidemiology · doi:10.1007/s10654-013-9834-7 · Cited by 119
The joint association of fitness and fatness on cardiovascular disease mortality: a meta-analysis.
Barry, V. W., Caputo, J. L., & Kang, M. (2018) · Progress in Cardiovascular Diseases · doi:10.1016/j.pcad.2018.07.004 · Cited by 107
A Review of Meta-Analysis Packages in R
Polanin, J. R., Hennessy, E. A., & Tanner-Smith, E. E. (2017) · Journal of Educational and Behavioral Statistics · doi:10.3102/1076998616674315 · Cited by 92
Ezzatvar, Y., Ramírez-Vélez, R., Izquierdo, M., & Garcia-Hermoso, A. (2022) · British Journal of Sports Medicine · doi:10.1136/bjsports-2022-105733 · Cited by 86
Tobacco smoking and risk of endometriosis: a systematic review and meta-analysis
Bravi, F., Parazzini, F., Cipriani, S., Chiaffarino, F., Ricci, E., Chiantera, V., Viganò, P., & La Vecchia, C. (2014) · BMJ Open · doi:10.1136/bmjopen-2014-006325 · Cited by 80
Hu, H., Zhao, Y., Feng, Y., Yang, X., Li, Y., Wu, Y., Yuan, L., Zhang, J., Li, T., Huang, H., et al. (2023) · The American Journal of Clinical Nutrition · doi:10.1016/j.ajcnut.2022.10.010 · Cited by 79
Wang, L., & Jin, F. (2020) · BMC Pregnancy and Childbirth · doi:10.1186/s12884-020-2814-5 · Cited by 73
Parity and Cardiovascular Disease Mortality: a Dose-Response Meta-Analysis of Cohort Studies
Lv, H., Wu, H., Yin, J., Qian, J., & Ge, J. (2015) · Scientific Reports · doi:10.1038/srep13411 · Cited by 72
Chen, X., Liu, Y., Sun, X., Yin, Z., Li, H., Liu, X., Zhang, D., Cheng, C., Liu, L., Liu, F., et al. (2019) · Menopause · doi:10.1097/gme.0000000000001289 · Cited by 68
Turati, F., Galeone, C., La Vecchia, C., Garavello, W., & Tavani, A. (2011) · Annals of Oncology · doi:10.1093/annonc/mdq603 · Cited by 64
Body mass index and lung cancer risk in never smokers: A meta-analysis
Zhu, H., & Zhang, S. (2018) · BMC Cancer · doi:10.1186/s12885-018-4543-y · Cited by 61
Micek, A., Gniadek, A., Kawalec, P., & Brzostek, T. (2019) · International Journal of Food Sciences and Nutrition · doi:10.1080/09637486.2019.1591352 · Cited by 29
Cheng, C., Zhang, D., Chen, S., & Duan, G. (2022) · Journal of Human Hypertension · doi:10.1038/s41371-021-00567-8 · Cited by 28
Zhao, R., Zhou, L., Wang, S., Xiong, G., & Hao, L. (2022) · Food & Function · doi:10.1039/d1fo03033g · Cited by 23
Soltani, S., Abdollahi, S., Aune, D., & Jayedi, A. (2021) · Scientific Reports · doi:10.1038/s41598-021-81671-0 · Cited by 22
Environmental tobacco smoke exposure and heart disease: A systematic review
Lee, P. N., Forey, B. A., Hamling, J. S., & Thornton, A. J. (2017) · World Journal of Meta-Analysis · doi:10.13105/wjma.v5.i2.14 · Cited by 8
Self-citation
Metadata
- Authors
- Hamling, J., Lee, P., Weitkunat, R., & Ambühl, M.
- Venue
- Statistics in Medicine
- Publisher
- Wiley
- Published
- 2007-08-03
- Volume
- 27
- Issue
- 7
- Pages
- 954-970
- ISSN
- 0277-6715 (ISSN-L)
- 1097-0258
- OpenAlex
- W2135361533
- Cited by
- 651
- References
- 2
- FWCI
- 4.23
- Type
- journal article
- Language
- en
- Open access
- closed
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