1
|
Hopewell S, Chan AW, Collins GS, Hróbjartsson A, Moher D, Schulz KF, Tunn R, Aggarwal R, Berkwits M, Berlin JA, Bhandari N, Butcher NJ, Campbell MK, Chidebe RCW, Elbourne D, Farmer A, Fergusson DA, Golub RM, Goodman SN, Hoffmann TC, Ioannidis JPA, Kahan BC, Knowles RL, Lamb SE, Lewis S, Loder E, Offringa M, Ravaud P, Richards DP, Rockhold FW, Schriger DL, Siegfried NL, Staniszewska S, Taylor RS, Thabane L, Torgerson D, Vohra S, White IR, Boutron I. CONSORT 2025 explanation and elaboration: updated guideline for reporting randomised trials. BMJ 2025; 389:e081124. [PMID: 40228832 PMCID: PMC11995452 DOI: 10.1136/bmj-2024-081124] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/21/2025] [Indexed: 04/16/2025]
Affiliation(s)
- Sally Hopewell
- Oxford Clinical Trials Research Unit, Centre for Statistics in Medicine, University of Oxford, Oxford OX3 7LD, UK
| | - An-Wen Chan
- Department of Medicine, Women's College Research Institute, University of Toronto, Toronto, ON, Canada
| | - Gary S Collins
- UK EQUATOR Centre, Centre for Statistics in Medicine, University of Oxford, Oxford, UK
| | - Asbjørn Hróbjartsson
- Centre for Evidence-Based Medicine Odense and Cochrane Denmark, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
- Open Patient data Explorative Network, Odense University Hospital, Odense, Denmark
| | - David Moher
- Centre for Journalology, Clinical Epidemiology Programme, Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Kenneth F Schulz
- Department of Obstetrics and Gynecology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Ruth Tunn
- Oxford Clinical Trials Research Unit, Centre for Statistics in Medicine, University of Oxford, Oxford OX3 7LD, UK
| | - Rakesh Aggarwal
- Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India
| | - Michael Berkwits
- Office of Science Dissemination, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Jesse A Berlin
- Department of Biostatistics and Epidemiology, School of Public Health, Center for Pharmacoepidemiology and Treatment Science, Rutgers University, New Brunswick, NJ, USA
- JAMA Network Open, Chicago, IL, USA
| | - Nita Bhandari
- Centre for Health Research and Development, Society for Applied Studies, New Delhi, India
| | - Nancy J Butcher
- Child Health Evaluation Services, The Hospital for Sick Children Research Institute, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Marion K Campbell
- Aberdeen Centre for Evaluation, University of Aberdeen, Aberdeen, UK
| | - Runcie C W Chidebe
- Project PINK BLUE - Health & Psychological Trust Centre, Utako, Abuja, Nigeria
- Department of Sociology and Gerontology, Miami University, OH, USA
| | - Diana Elbourne
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK
| | - Andrew Farmer
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | | | - Robert M Golub
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Steven N Goodman
- Department of Epidemiology and Population Health, Stanford University, Palo Alto, CA, USA
| | - Tammy C Hoffmann
- Institute for Evidence-Based Healthcare, Faculty of Health Sciences and Medicine, Bond University, University Drive, Robina, QLD, Australia
| | - John P A Ioannidis
- Departments of Medicine, of Epidemiology and Population Health, of Biomedical Data Science, and of Statistics, and Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, CA, USA
| | - Brennan C Kahan
- MRC Clinical Trials Unit at University College London, London, UK
| | - Rachel L Knowles
- University College London, UCL Great Ormond Street Institute of Child Health, London, UK
| | - Sarah E Lamb
- NIHR Exeter Biomedical Research Centre, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK
| | - Steff Lewis
- Edinburgh Clinical Trials Unit, Usher Institute-University of Edinburgh, Edinburgh BioQuarter, Edinburgh, UK
| | - Elizabeth Loder
- The BMJ, BMA House, London, UK
- Harvard Medical School, Boston, MA, USA
| | - Martin Offringa
- Child Health Evaluation Services, The Hospital for Sick Children Research Institute, Toronto, ON, Canada
| | - Philippe Ravaud
- Université Paris Cité, Inserm, INRAE, Centre de Recherche Epidémiologie et Statistiques, Université Paris Cité, Paris, France
| | | | - Frank W Rockhold
- Duke Clinical Research Institute, Duke University Medical Center, Durham, NC, USA
| | - David L Schriger
- Department of Emergency Medicine, University of California, Los Angeles, CA, USA
| | | | - Sophie Staniszewska
- Warwick Research in Nursing, Warwick Medical School, University of Warwick, Coventry, UK
| | - Rod S Taylor
- MRC/CSO Social and Public Health Sciences Unit & Robertson Centre for Biostatistics, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Lehana Thabane
- Department of Health Research Methods Evidence and Impact, McMaster University, Hamilton, ON, Canada
- St Joseph's Healthcare Hamilton, Hamilton, ON, Canada
| | - David Torgerson
- York Trials Unit, Department of Health Sciences, University of York, York, UK
| | - Sunita Vohra
- Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada
| | - Ian R White
- MRC Clinical Trials Unit at University College London, London, UK
| | - Isabelle Boutron
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Centre for Research in Epidemiology and Statistics (CRESS), Paris, France
- Centre d'Epidémiologie Clinique, Hôpital Hôtel Dieu, AP-HP, Paris, France
| |
Collapse
|
2
|
Wu JY, Yang JL, Hu JL, Xu S, Zhang XJ, Qian SY, Chen ML, Ali MA, Zhang J, Zha Z, Zheng GQ. Reporting quality and risk of bias of randomized controlled trials of Chinese herbal medicine for multiple sclerosis. Front Immunol 2024; 15:1429895. [PMID: 39229262 PMCID: PMC11369894 DOI: 10.3389/fimmu.2024.1429895] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2024] [Accepted: 07/22/2024] [Indexed: 09/05/2024] Open
Abstract
Background Multiple sclerosis (MS) is the most common non-traumatic disabling disease affecting young adults. A definitive curative treatment is currently unavailable. Many randomized controlled trials (RCTs) have reported the efficacy of Chinese herbal medicine (CHM) on MS. Because of the uncertain quality of these RCTs, the recommendations for routine use of CHM for MS remain inconclusive. The comprehensive evaluation of the quality of RCTs of CHM for MS is urgent. Methods Nine databases, namely, PubMed, Embase, Web of Science, Cochrane Library, EBSCO, Sinomed, Wanfang Database, China National Knowledge Infrastructure, and VIP Database, were searched from inception to September 2023. RCTs comparing CHM with placebo or pharmacological interventions for MS were considered eligible. The Consolidated Standards of Reporting Trials (CONSORT) and its extension for CHM formulas (CONSORT-CHM Formulas) checklists were used to evaluate the reporting quality of RCTs. The risk of bias was assessed using the Cochrane Risk of Bias tool. The selection criteria of high-frequency herbs for MS were those with cumulative frequency over 50% among the top-ranked herbs. Results A total of 25 RCTs were included. In the included RCTs, 33% of the CONSORT items and 21% of the CONSORT-CHM Formulas items were reported. Eligibility title, sample size calculation, allocation concealment, randomized implementation, and blinded description in CONSORT core items were reported by less than 5% of trials. For the CONSORT-CHM Formulas, the source and authentication method of each CHM ingredient was particularly poorly reported. Most studies classified the risk of bias as "unclear" due to insufficient information. The top five most frequently used herbs were, in order, Radix Rehmanniae Preparata, Radix Rehmanniae Recens, Herba Epimedii, Scorpio, and Poria. No serious adverse effect had been reported. Conclusions The low reporting of CONSORT items and the unclear risk of bias indicate the inadequate quality of RCTs in terms of reporting completeness and result validity. The CONSORT-CHM Formulas appropriately consider the unique characteristics of CHM, including principles, formulas, and Chinese medicinal substances. To improve the quality of RCTs on CHM for MS, researchers should adhere more closely to CONSORT-CHM Formulas guidelines and ensure comprehensive disclosure of all study design elements.
Collapse
Affiliation(s)
- Jing-Ying Wu
- Department of Neurology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Hangzhou, China
| | - Jiang-Li Yang
- Department of Neurology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Hangzhou, China
| | - Jia-Ling Hu
- Department of Neurology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Hangzhou, China
| | - Shan Xu
- Department of Neurology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Hangzhou, China
| | - Xiao-Jie Zhang
- Department of Neurology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Hangzhou, China
| | - Shi-Yan Qian
- Department of Neurology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Hangzhou, China
| | - Min-Li Chen
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Mahad Abdulkadir Ali
- Department of Neurology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Hangzhou, China
| | - Juan Zhang
- Department of Neurology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Hangzhou, China
| | - Zheng Zha
- Department of Neurology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Hangzhou, China
| | - Guo-Qing Zheng
- Department of Neurology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Hangzhou, China
| |
Collapse
|
3
|
Chen J, Deng G, Liu H, Xue Q, Cai Y, Wang J, Xu S, Zhou X, Wang J. Assessment of Quality of Reporting in Randomized Controlled Trials of Moxibustion for Chronic Diseases Using the Consolidated Standards of Reporting Trials and Standards for Reporting Interventions in Clinical Trials of Moxibustion Statements. Complement Med Res 2024; 31:438-448. [PMID: 39116842 DOI: 10.1159/000540641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2024] [Accepted: 07/29/2024] [Indexed: 08/10/2024]
Abstract
INTRODUCTION Moxibustion is clinically used for treating various chronic diseases; however, the reporting quality of current published RCTs of moxibustion is unclear. The objective of this study was to assess the reporting quality of RCTs focusing on moxibustion as a treatment for chronic diseases. METHODS Seven databases were searched to identify relevant RCTs. Criteria for evaluating the reporting quality of standard RCT elements and moxibustion intervention-related information were developed based on the CONSORT statement and its STRICTOM extension, respectively. Multivariate regression models were used to investigate factors impacting reporting quality. RESULTS A total of 310 RCTs were included, with 41 (7.6%) published in English journals and 269 (92.4%) in Chinese journals. The median CONSORT and STRICTOM scores of these RCTs, with a maximum score of 100, were 41.2 and 62.9, respectively. RCTs with a later publication year and protocol registration or ethical approval exhibited significantly higher CONSORT and STRICTOM scores. Higher CONSORT scores were also significantly associated with English language publication, funding support, and inclusion of a safety evaluation, while higher STRICTOM scores were additionally associated with an active control design. CONCLUSION The reporting quality of RCTs focusing on moxibustion treatment for chronic diseases is subpar, with gradual but limited improvement over the last 25 years. To enhance the reporting quality of moxibustion RCTs, researchers should develop a comprehensive study protocol and standardize result reporting based on CONSORT and STRICTOM statements. Registration platforms, ethical approval organizations, funders, and journals can also contribute to this improvement by bolstering structured information reporting in the review process.
Collapse
Affiliation(s)
- Jianrong Chen
- Department of Endocrinology and Metabolism, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China
| | - Guihua Deng
- State Key Laboratory of Traditional Chinese Medicine Syndrome, Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou, China
| | - Huilin Liu
- Evidence-based Medicine Research Center, Jiangxi University of Chinese Medicine, Nanchang, China
| | - Qiuyun Xue
- Evidence-based Medicine Research Center, Jiangxi University of Chinese Medicine, Nanchang, China
| | - Yaojun Cai
- Department of Endocrinology and Metabolism, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China
| | - Jiao Wang
- Department of Endocrinology and Metabolism, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China
| | - Sheng Xu
- Evidence-based Medicine Research Center, Jiangxi University of Chinese Medicine, Nanchang, China
| | - Xu Zhou
- Evidence-based Medicine Research Center, Jiangxi University of Chinese Medicine, Nanchang, China
- Key Laboratory of Drug-Targeting and Drug Delivery System of Sichuan Province, Chengdu, China
| | - Jiancheng Wang
- Department of Endocrinology and Metabolism, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China
| |
Collapse
|
4
|
Yang Y, Yang S, Han Y, Zou G, Wang R, Liu L. Quality reporting of randomized controlled trials on SGLT2 inhibitors for heart failure: a comprehensive assessment. Sci Rep 2024; 14:6819. [PMID: 38514865 PMCID: PMC10958037 DOI: 10.1038/s41598-024-57514-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Accepted: 03/19/2024] [Indexed: 03/23/2024] Open
Abstract
Randomised controlled trials (RCTs) provide clinicians with the best evidence of the effectiveness of an intervention, and complete and transparent trial reports help to critically assess and use trial results. The objective of our study was to assess the quality of reporting in RCTs of sodium-glucose co-transporter protein 2 (SGLT2) inhibitors for heart failure (HF) and identify factors associated with improved reporting quality. Two researchers conducted a comprehensive search in four databases (PubMed, Web of Science, EMBASE, and Cochrane). The quality of each report was assessed using a 25-point Overall Quality Score (OQS) based on the guidelines provided in the 2010 Consolidated Standards for Reporting of Trials (CONSORT) statement. We included a total of 58 relevant RCTs. The median OQS in the 2010 CONSORT statement was 15 (range 7.5-24). The missing items were primarily found in the 'Methods' and 'Results' sections of the 2010 CONSORT statement. Multivariate regression modeling revealed that a more recent publication year, high impact factor, and large sample size were significant predictors of OQS improvement. The findings suggest that the overall quality of reported RCTs of SGLT2 inhibitors in HF is unsatisfactory, which reduces their potential usefulness.
Collapse
Affiliation(s)
- YueGuang Yang
- Heilongjiang University of Chinese Medicine, Harbin, Heilongjiang, 150040, People's Republic of China
| | - ShunWen Yang
- Heilongjiang University of Chinese Medicine, Harbin, Heilongjiang, 150040, People's Republic of China
| | - YuBo Han
- The First Department of Cardiovascular, First Affiliated Hospital, Heilongjiang University of Chinese Medicine, 26 Heping Road, Xiangfang, Harbin, Heilongjiang, 150040, People's Republic of China
| | - GuoLiang Zou
- The First Department of Cardiovascular, First Affiliated Hospital, Heilongjiang University of Chinese Medicine, 26 Heping Road, Xiangfang, Harbin, Heilongjiang, 150040, People's Republic of China
| | - RuiNan Wang
- The First Department of Cardiovascular, First Affiliated Hospital, Heilongjiang University of Chinese Medicine, 26 Heping Road, Xiangfang, Harbin, Heilongjiang, 150040, People's Republic of China
| | - Li Liu
- The First Department of Cardiovascular, First Affiliated Hospital, Heilongjiang University of Chinese Medicine, 26 Heping Road, Xiangfang, Harbin, Heilongjiang, 150040, People's Republic of China.
| |
Collapse
|
5
|
Liu Y, Hu C, Zhou K, Zhang Y, Kang J, Wen Y, Yuan R, Li J, Zhao Q, Zhang L, Yang X. The reporting quality of randomized controlled trials in Chinese herbal medicine (CHM) formulas for diabetes based on the consort statement and its extension for CHM formulas. Front Pharmacol 2024; 15:1288479. [PMID: 38318135 PMCID: PMC10839105 DOI: 10.3389/fphar.2024.1288479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Accepted: 01/04/2024] [Indexed: 02/07/2024] Open
Abstract
Background: This study aimed to assess the overall reporting quality of randomized controlled trials (RCTs) in Chinese herbal medicine (CHM) formulas for patients with diabetes, and to identify factors associated with better reporting quality. Methods: Four databases including PubMed, Embase, Cochrane Library and Web of Science were systematically searched from their inception to December 2022. The reporting quality was assessed based on the Consolidated Standards of Reporting Trials (CONSORT) statement and its CHM formula extension. The overall CONSORT and its CHM formula extension scores were calculated and expressed as proportions separately. We also analyzed the pre-specified study characteristics and performed exploratory regressions to determine their associations with the reporting quality. Results: Seventy-two RCTs were included. Overall reporting quality (mean adherence) were 53.56% and 45.71% on the CONSORT statement and its CHM formula extension, respectively. The strongest associations with reporting quality based on the CONSORT statement were multiple centers and larger author numbers. Compliance with the CHM formula extension, particularly regarding the disclosure of the targeted traditional Chinese medicine (TCM) pattern (s), was generally insufficient. Conclusion: The reporting quality of RCTs in CHM formulas for diabetes remains unsatisfactory, and the adherence to the CHM formula extension is even poorer. In order to ensure transparent and standardized reporting of RCTs, it is essential to advocate for or even mandate adherence of the CONSORT statement and its CHM formula extension when reporting trials in CHM formulas for diabetes by both authors and editors.
Collapse
Affiliation(s)
- Yan Liu
- Beijing University of Chinese Medicine, Beijing, China
- Key Laboratory of Chinese Internal Medicine of Ministry of Education, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Chaoyue Hu
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Kehua Zhou
- Department of Hospital Medicine, ThedaCare Regional Medical Center-Appleton, Appleton, WI, United States
| | - Ye Zhang
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Jing Kang
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Yalu Wen
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Ruyue Yuan
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Jiaoyue Li
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Qiyao Zhao
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Li Zhang
- Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Xiaohui Yang
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| |
Collapse
|