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Wang W, Liu M, He Q, Wang M, Xu J, Li L, Li G, He L, Zou K, Sun X. Data source profile reporting by studies that use routinely collected health data to explore the effects of drug treatment. BMC Med Res Methodol 2023; 23:95. [PMID: 37081410 PMCID: PMC10120171 DOI: 10.1186/s12874-023-01922-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 04/13/2023] [Indexed: 04/22/2023] Open
Abstract
BACKGROUND Routinely collected health data (RCD) are important resource for exploring drug treatment effects. Adequate reporting of data source profiles may increase the credibility of evidence generated from these data. This study conducted a systematic literature review to evaluate the reporting characteristics of databases used by RCD studies to explore the effects of drug treatment. METHODS Observational studies published in 2018 that used RCD to explore the effects of drug treatment were identified by searching PubMed. We categorized eligible reports into two groups by journal impact factor (IF), including the top 5 general medical journals (NEJM, Lancet, JAMA, BMJ and JAMA Internal Medicine) and the other journals. The reporting characteristics of the databases used were described and compared between the two groups and between studies citing and not citing database references. RESULTS A total of 222 studies were included, of which 53 (23.9%) reported that they applied data linkage, 202 (91.0%) reported the type of database, and 211 (95.0%) reported the coverage of the data source. Only 81 (36.5%) studies reported the timeframe of the database. Studies in high-impact journals were more likely to report that they applied data linkage (65.1% vs. 20.2%) and used electronic medical records (EMR) (73.7% vs. 30.0%) and national data sources (77.8% vs. 51.3%) than those published in other medical journals. There were 137/222 (61.7%) cited database references. Studies with database-specific citations had better reporting of the data sources and were more likely to publish in high-impact journals than those without (mean IF, 6.08 vs. 4.09). CONCLUSIONS Some deficits were found in the reporting quality of databases in studies that used RCD to explore the effects of drug treatment. Studies citing database-specific references may provide detailed information regarding data source characteristics. The adoption of reporting guidelines and education on their use is urgently needed to promote transparency by research groups.
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Affiliation(s)
- Wen Wang
- Chinese Evidence-based Medicine Center and Cochrane China Center, West China Hospital, Sichuan University, 37 Guo Xue Xiang, Chengdu, 610041, Sichuan, China
- NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, China
- Sichuan Center of Technology Innovation for Real World Data, Chengdu, China
| | - Mei Liu
- Chinese Evidence-based Medicine Center and Cochrane China Center, West China Hospital, Sichuan University, 37 Guo Xue Xiang, Chengdu, 610041, Sichuan, China
- NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, China
- Sichuan Center of Technology Innovation for Real World Data, Chengdu, China
| | - Qiao He
- Chinese Evidence-based Medicine Center and Cochrane China Center, West China Hospital, Sichuan University, 37 Guo Xue Xiang, Chengdu, 610041, Sichuan, China
- NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, China
- Sichuan Center of Technology Innovation for Real World Data, Chengdu, China
| | - Mingqi Wang
- Chinese Evidence-based Medicine Center and Cochrane China Center, West China Hospital, Sichuan University, 37 Guo Xue Xiang, Chengdu, 610041, Sichuan, China
- NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, China
- Sichuan Center of Technology Innovation for Real World Data, Chengdu, China
| | - Jiayue Xu
- Chinese Evidence-based Medicine Center and Cochrane China Center, West China Hospital, Sichuan University, 37 Guo Xue Xiang, Chengdu, 610041, Sichuan, China
- NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, China
- Sichuan Center of Technology Innovation for Real World Data, Chengdu, China
| | - Ling Li
- Chinese Evidence-based Medicine Center and Cochrane China Center, West China Hospital, Sichuan University, 37 Guo Xue Xiang, Chengdu, 610041, Sichuan, China
- NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, China
- Sichuan Center of Technology Innovation for Real World Data, Chengdu, China
| | - Guowei Li
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, L8S 4L8, Canada
- Center for Clinical Epidemiology and Methodology, Guangdong Second Provincial General Hospital, Guangzhou, 510317, Guangdong, China
- Biostatistics Unit, Research Institute at St. Joseph's Healthcare Hamilton, Hamilton, ON, L8N 4A6, Canada
| | - Lin He
- Intelligence Library Center, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Kang Zou
- Chinese Evidence-based Medicine Center and Cochrane China Center, West China Hospital, Sichuan University, 37 Guo Xue Xiang, Chengdu, 610041, Sichuan, China
| | - Xin Sun
- Chinese Evidence-based Medicine Center and Cochrane China Center, West China Hospital, Sichuan University, 37 Guo Xue Xiang, Chengdu, 610041, Sichuan, China.
- NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, China.
- Sichuan Center of Technology Innovation for Real World Data, Chengdu, China.
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Jiang Q, Liu Q, Chen F, Zeng X, Song F, Lu Z, Cao S. Reporting quality and statistical analysis of published dose-response meta-analyses was suboptimal: a cross-sectional literature survey. J Clin Epidemiol 2019; 115:133-40. [PMID: 31326542 DOI: 10.1016/j.jclinepi.2019.07.008] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2019] [Revised: 06/27/2019] [Accepted: 07/15/2019] [Indexed: 12/27/2022]
Abstract
OBJECTIVES The objective of this study was to investigate the characteristics, methodological quality, and reporting of statistical analyses of published dose-response meta-analyses (DRMAs). STUDY DESIGN AND SETTING We searched PubMed to identify DRMAs published in 2017. The reporting characteristics and methodological qualities were assessed by the PRISMA (27 items) and AMSTAR (11 items), respectively. We also summarized the reporting of statistical analyses of included DRMAs. RESULTS We identified 93 DRMAs, most of which (59/93) were conducted by Chinese researchers and the main outcome was the incidence of cancers. Of the PRISMA and AMSTAR items, twenty and five were well complied (80% or more), respectively. The compliance rates of several PRISMA checklist items, such as structured summary, objectives, protocol and registration, and funding, were less than 50%. There were no criteria to estimate the doses for the open-ended intervals of exposure or intervention doses. When the restricted cubic splines were used to fit nonlinear dose-response relationships, there were also no criteria to determine the fixed knots. CONCLUSION The adherence to the methodological items of reporting guidelines and statistical analysis of published DRMAs were suboptimal. Development of reporting guidelines to assist authors in writing and readers in critically appraising the reports of DRMAs is timely.
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Kumar SP. Reporting characteristics of cancer pain: a systematic review and quantitative analysis of research publications in palliative care journals. Indian J Palliat Care 2011; 17:57-66. [PMID: 21633623 PMCID: PMC3098545 DOI: 10.4103/0973-1075.78451] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
Objective: A common disorder requiring symptom palliation in palliative and end-of-life care is cancer. Cancer pain is recognized as a global health burden. This paper sought to systematically examine the extent to which there is an adequate scientific research base on cancer pain and its reporting characteristics in the palliative care journal literature. Materials and Methods: Search conducted in MEDLINE and CINAHL sought to locate all studies published in 19 palliative/ hospice/ supportive/ end-of-life care journals from 2009 to 2010. The journals included were: American Journal of Hospice and Palliative Care, BMC Palliative Care, Current Opinion in Supportive and Palliative Care, End of Life Care Journal, European Journal of Palliative Care, Hospice Management Advisor, Indian Journal of Palliative Care, International Journal of Palliative Nursing, Internet Journal of Pain Symptom Control and Palliative Care, Journal of Pain and Palliative Care Pharmacotherapy, Journal of Palliative Care, Journal of Palliative Medicine, Journal of Social Work in End-of-life and Palliative Care, Journal of Supportive Oncology, Palliative Medicine, Palliative and Supportive Care, and Supportive Care in Cancer. Journal contents were searched to identify studies that included cancer pain in abstract. Results: During the years 2009 and 2010, of the selected 1,569 articles published in the journals reviewed, only 5.86% (92 articles) were on cancer pain. Conclusion: While researchers in the field of palliative care have studied cancer pain, the total percentage for studies is still a low 5.86%. To move the field of palliative care forward so that appropriate guidelines for cancer pain management can be developed, it is critical that more research be reported upon which to base cancer pain therapy in an evidence-based palliative care model.
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Affiliation(s)
- Senthil P Kumar
- Department of Physiotherapy, Kasturba Medical College (Manipal University), Mangalore, India
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