Interpretation of guideline for reporting meta-epidemiological research_Chinese Journal of Evidence-Based Medicine

Authors：

GUO Jiaqi ¹ , LONG Youlin ^2,3 , LIN Chunying ¹ , WANG Xinyi ³ , GUO Qiong ² , LIN Yifei ⁴ , HUANG Jin ^2,3 , YANG Kehu ^5,6,7 , ZHANG Zhongheng ⁸ , XU Chang ⁹ ,  SHANG Hongcai ¹⁰ ,  DU Liang ^2,3

1. West China School of Public Health, Sichuan University, Chengdu 610041, P. R. China;
2. Medical Device Regulatory Research and Evaluation Center, West China Hospital, Sichuan University, Chengdu 610041, P. R. China;
3. Chinese Evidence-based Medicine Center, West China Hospital, Sichuan University, Chengdu 610041, P. R. China;
4. Medical Device Regulatory Research and Evaluation Centre, West China Hospital, Sichuan University, Chengdu 610041, P. R. China;
5. Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, P. R. China;
6. Key Laboratory of Evidence-Based Medicine and Knowledge Translation of Gansu Province, Lanzhou 730000, P. R. China;
7. Evidence-Based Social Science Center, School of Public Health, Lanzhou University, Lanzhou 730000, P. R. China;
8. Department of Emergency Medicine, Sir Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310016, P. R. China;
9. Department of Population Medicine, College of Medicine, Qatar University, Doha 2731, Qatar;
10. Key Laboratory of Chinese Internal Medicine of Ministry of Education and Beijing, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing 100700, P. R. China;

Corresponding author：

SHANG Hongcai, Email: shanghongcai@foxmail.com; DU Liang, Email: duliang0606@vip.sina.com

Keywords：

Meta-epidemiology; Reporting guideline; Interpretation

DOI：

10.7507/1672-2531.202205104

Video：

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Abstract Full text Figures/Tables Video References Cited by

The guideline for reporting meta-epidemiological research, based on PRISMA, aims to increase the reporting quality and transparency of meta-epidemiological studies. This paper introduced and interpreted the 24 reporting items in the guidelines for reporting meta-epidemiological research to provide a reference for standardizing the reporting of meta-epidemiological studies.

Citation： GUO Jiaqi, LONG Youlin, LIN Chunying, WANG Xinyi, GUO Qiong, LIN Yifei, HUANG Jin, YANG Kehu, ZHANG Zhongheng, XU Chang, SHANG Hongcai, DU Liang. Interpretation of guideline for reporting meta-epidemiological research. Chinese Journal of Evidence-Based Medicine, 2022, 22(9): 1071-1079. doi: 10.7507/1672-2531.202205104 Copy

1.	龙囿霖, 林春滢, 郭嘉琪, 等. Meta流行病学的产生与发展. 中国循证医学杂志, 2022, 22(6): 716-721.
2.	Schuit E, Li AH, Ioannidis JPA. How often can meta-analyses of individual-level data individualize treatment. A meta-epidemiologic study. Int J Epidemiol, 2019, 48(2): 596-608.
3.	Puljak L, Makaric ZL, Buljan I, et al. What is a meta-epidemiological study. Analysis of published literature indicated heterogeneous study designs and definitions. J Comp Eff Res, 2020, 9(7): 497-508.
4.	Bun RS, Scheer J, Guillo S, et al. Meta-analyses frequently pooled different study types together: a meta-epidemiological study. J Clin Epidemiol, 2020, 118: 18-28.
5.	Murad MH, Wang Z. Guidelines for reporting meta-epidemiological methodology research. Evid Based Med, 2017, 22(4): 139-142.
6.	Groves T. Enhancing the quality and transparency of health research. BMJ, 2008, 337(7661): a718.
7.	Schwab S, Kreiliger G, Held L. Assessing treatment effects and publication bias across different specialties in medicine: a meta-epidemiological study. BMJ Open, 2021, 11(9): e045942.
8.	Dechartres A, Atal I, Riveros C, et al. Association between publication characteristics and treatment effect estimates: a meta-epidemiologic study. Ann Intern Med, 2018, 169(6): 385-393.
9.	Wang Z, Alahdab F, Farah M, et al. Association of study design features and treatment effects in trials of chronic medical conditions: a meta-epidemiological study. BMJ Evid Based Med, 2022, 27(2): 104-108.
10.	Hemkens LG, Contopoulos-Ioannidis DG, Ioannidis JP. Agreement of treatment effects for mortality from routinely collected data and subsequent randomized trials: meta-epidemiological survey. BMJ, 2016, 352: i493.
11.	Mathioudakis AG, Ananth S, Bradbury T, et al. Assessing treatment success or failure as an outcome in randomised clinical trials of COPD exacerbations. A meta-epidemiological study. Biomedicines, 2021, 9(12): 1837.
12.	张永刚, 杨乐天, 杨鑫, 等. 诊断准确性试验的系统评价/Meta分析报告规范(PRISMA-DTA)的解读. 中国循证医学杂志, 2018, 18(9): 1007-1016.
13.	Ge L, Tian JH, Li YN, et al. Association between prospective registration and overall reporting and methodological quality of systematic reviews: a meta-epidemiological study. J Clin Epidemiol, 2018, 93: 45-55.
14.	Moustgaard H, Clayton GL, Jones HE, et al. Impact of blinding on estimated treatment effects in randomised clinical trials: meta-epidemiological study. BMJ, 2020, 368: l6802.
15.	Xu C, Li L, Lin L, et al. Exclusion of studies with no events in both arms in meta-analysis impacted the conclusions. J Clin Epidemiol, 2020, 123: 91-99.
16.	Srinivas TR, Ho B, Kang J, et al. Post hoc analyses: after the facts. Transplantation, 2015, 99(1): 17-20.
17.	Schwingshackl L, Balduzzi S, Beyerbach J, et al. Evaluating agreement between bodies of evidence from randomised controlled trials and cohort studies in nutrition research: meta-epidemiological study. BMJ, 2021, 374: n1864.
18.	Panagiotou OA, Contopoulos-Ioannidis DG, Ioannidis JP. Comparative effect sizes in randomised trials from less developed and more developed countries: meta-epidemiological assessment. BMJ, 2013, 346: f707.
19.	Bolvig J, Juhl CB, Boutron I, et al. Some Cochrane risk-of-bias items are not important in osteoarthritis trials: a meta-epidemiological study based on Cochrane reviews. J Clin Epidemiol, 2018, 95: 128-136.
20.	Nagendran M, Pereira TV, Kiew G, et al. Very large treatment effects in randomised trials as an empirical marker to indicate whether subsequent trials are necessary: meta-epidemiological assessment. BMJ, 2016, 355: i5432.
21.	Naylor CD. Meta-analysis and the meta-epidemiology of clinical research. BMJ, 1997, 315(7109): 617-619.
22.	Papageorgiou SN. Overview provides insights on the current status and future of meta-epidemiology. J Clin Epidemiol, 2016, 77: 11-12.
23.	Moher D, Liberati A, Tetzlaff J, et al. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med, 2009, 6(7): e1000097.
24.	Page MJ, McKenzie JE, Bossuyt PM, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ, 2021, 372: n71.
25.	Page MJ, Moher D, Bossuyt PM, et al. PRISMA 2020 explanation and elaboration: updated guidance and exemplars for reporting systematic reviews. BMJ, 2021, 372: n160.
26.	高亚, 刘明, 杨珂璐, 等. 系统评价报告规范: PRISMA2020与PRISMA2009的对比分析与实例解读. 中国循证医学杂志, 2021, 21(5): 606-616.
27.	Liberati A, Altman DG, Tetzlaff J, et al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration. BMJ, 2009, 339: b2700.
28.	Arya S, Kaji AH, Boermeester MA. PRISMA reporting guidelines for meta-analyses and systematic reviews. JAMA Surg, 2021, 156(8): 789-790.

1. 龙囿霖, 林春滢, 郭嘉琪, 等. Meta流行病学的产生与发展. 中国循证医学杂志, 2022, 22(6): 716-721.
2. Schuit E, Li AH, Ioannidis JPA. How often can meta-analyses of individual-level data individualize treatment. A meta-epidemiologic study. Int J Epidemiol, 2019, 48(2): 596-608.
3. Puljak L, Makaric ZL, Buljan I, et al. What is a meta-epidemiological study. Analysis of published literature indicated heterogeneous study designs and definitions. J Comp Eff Res, 2020, 9(7): 497-508.
4. Bun RS, Scheer J, Guillo S, et al. Meta-analyses frequently pooled different study types together: a meta-epidemiological study. J Clin Epidemiol, 2020, 118: 18-28.
5. Murad MH, Wang Z. Guidelines for reporting meta-epidemiological methodology research. Evid Based Med, 2017, 22(4): 139-142.
6. Groves T. Enhancing the quality and transparency of health research. BMJ, 2008, 337(7661): a718.
7. Schwab S, Kreiliger G, Held L. Assessing treatment effects and publication bias across different specialties in medicine: a meta-epidemiological study. BMJ Open, 2021, 11(9): e045942.
8. Dechartres A, Atal I, Riveros C, et al. Association between publication characteristics and treatment effect estimates: a meta-epidemiologic study. Ann Intern Med, 2018, 169(6): 385-393.
9. Wang Z, Alahdab F, Farah M, et al. Association of study design features and treatment effects in trials of chronic medical conditions: a meta-epidemiological study. BMJ Evid Based Med, 2022, 27(2): 104-108.
10. Hemkens LG, Contopoulos-Ioannidis DG, Ioannidis JP. Agreement of treatment effects for mortality from routinely collected data and subsequent randomized trials: meta-epidemiological survey. BMJ, 2016, 352: i493.
11. Mathioudakis AG, Ananth S, Bradbury T, et al. Assessing treatment success or failure as an outcome in randomised clinical trials of COPD exacerbations. A meta-epidemiological study. Biomedicines, 2021, 9(12): 1837.
12. 张永刚, 杨乐天, 杨鑫, 等. 诊断准确性试验的系统评价/Meta分析报告规范(PRISMA-DTA)的解读. 中国循证医学杂志, 2018, 18(9): 1007-1016.
13. Ge L, Tian JH, Li YN, et al. Association between prospective registration and overall reporting and methodological quality of systematic reviews: a meta-epidemiological study. J Clin Epidemiol, 2018, 93: 45-55.
14. Moustgaard H, Clayton GL, Jones HE, et al. Impact of blinding on estimated treatment effects in randomised clinical trials: meta-epidemiological study. BMJ, 2020, 368: l6802.
15. Xu C, Li L, Lin L, et al. Exclusion of studies with no events in both arms in meta-analysis impacted the conclusions. J Clin Epidemiol, 2020, 123: 91-99.
16. Srinivas TR, Ho B, Kang J, et al. Post hoc analyses: after the facts. Transplantation, 2015, 99(1): 17-20.
17. Schwingshackl L, Balduzzi S, Beyerbach J, et al. Evaluating agreement between bodies of evidence from randomised controlled trials and cohort studies in nutrition research: meta-epidemiological study. BMJ, 2021, 374: n1864.
18. Panagiotou OA, Contopoulos-Ioannidis DG, Ioannidis JP. Comparative effect sizes in randomised trials from less developed and more developed countries: meta-epidemiological assessment. BMJ, 2013, 346: f707.
19. Bolvig J, Juhl CB, Boutron I, et al. Some Cochrane risk-of-bias items are not important in osteoarthritis trials: a meta-epidemiological study based on Cochrane reviews. J Clin Epidemiol, 2018, 95: 128-136.
20. Nagendran M, Pereira TV, Kiew G, et al. Very large treatment effects in randomised trials as an empirical marker to indicate whether subsequent trials are necessary: meta-epidemiological assessment. BMJ, 2016, 355: i5432.
21. Naylor CD. Meta-analysis and the meta-epidemiology of clinical research. BMJ, 1997, 315(7109): 617-619.
22. Papageorgiou SN. Overview provides insights on the current status and future of meta-epidemiology. J Clin Epidemiol, 2016, 77: 11-12.
23. Moher D, Liberati A, Tetzlaff J, et al. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med, 2009, 6(7): e1000097.
24. Page MJ, McKenzie JE, Bossuyt PM, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ, 2021, 372: n71.
25. Page MJ, Moher D, Bossuyt PM, et al. PRISMA 2020 explanation and elaboration: updated guidance and exemplars for reporting systematic reviews. BMJ, 2021, 372: n160.
26. 高亚, 刘明, 杨珂璐, 等. 系统评价报告规范: PRISMA2020与PRISMA2009的对比分析与实例解读. 中国循证医学杂志, 2021, 21(5): 606-616.
27. Liberati A, Altman DG, Tetzlaff J, et al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration. BMJ, 2009, 339: b2700.
28. Arya S, Kaji AH, Boermeester MA. PRISMA reporting guidelines for meta-analyses and systematic reviews. JAMA Surg, 2021, 156(8): 789-790.

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