The selection of outcome measurement instruments (OMI) is a prerequisite for accurately collecting health outcome data. Conducting a systematic review of OMI can provide an important reference for researchers and practitioners to select the most appropriate OMI. In order to improve the reporting quality of the systematic review of OMI, foreign researchers published the PRISMA-COSMIN reporting guideline in the J Clin Epidemiol in June 2024. This article introduces the research team, development process, and items of the reporting guideline, and analyzes the items with examples. We hope our attempt could help domestic researchers improve the overall quality of OMI systematic reviews.
This study aimed to provide suggestions for future researchers to select and optimize sham acupuncture reporting guidelines in acupuncture clinical trials. Through qualitative analysis, we compared the basic information and concrete contents between Acupuncture Controls gUideline for Reporting humAn Trials and Experiments (ACURATE) and SHam Acupuncture REporting guidelines in clinical trials (SHARE) developed by researchers from China and Korea. In addition, the similarities and differences of the two guidelines were illustrated through a specific case. We found that the two guidelines had their own characteristics and emphasis in content, but both emphasized the reports of detailed information and background factors of sham acupuncture compared with the previous STRICTA and TIDieR-Placebo checklist. In terms of item division, we found that the ACURATE split the same topic into several items to emphasize the importance of each item content. SHARE emphasized the comprehensive reports of sham acupuncture by combining several items into a single item. In terms of item content, ACURATE also focused on combination therapy, the information regarding sham acupuncture provided to participants, and any differences in treatment settings between versus/sham acupuncture, which had some referential meaning for setting sham acupuncture control. SHARE also focused on sham acupuncture detailed information, practitioner, and modifications, etc. Case analysis showed that there were some "not reported" or "partially reported" items in both guidelines. Therefore, it is suggested that researchers can use the above two guidelines to complement and learn from each other to report sham acupuncture. In addition, it is necessary for researchers to verify the operability and practicability of the above two guidelines, and provide suggestions for optimizing and updating them in the future.
ObjectiveTo get known of the application of Preferred Items of Systematic Review and Meta Analysis (PRISMA). MethodsWe searched PubMed, EMbase, The Cochrane Library (Issue 10, 2013), CBM, WanFang Data and CNKI, to collect relevant literature about the application of PRISMA during 2009-2013. Two reviewers independently screened literature according to the inclusion and exclusion criteria, extracted data, and then bibliometric analysis was performed using Excel software. ResultsWe finally included 175 papers, including 26 conference abstracts and 149 full texts. The results of bibliometric analysis of full texts showed that, they were published in 118 journals, and PRISMA official website announced that 176 journals endorsed the application of PRISMA. According to study type, there were 111 systematic reviews and meta-analyses (SRs/MAs) for development and reporting, 20 overviews of SRs for reporting quality assessments, 7 versions of PRISMA interpretation, and 11 articles of other kinds. In 131 SRs/MAs as well as overviews, the studies about western medicine accounted for 77.8%, followed by public health (8.4%), and traditional Chinese medicine (4.6%). ConclusionThe application of PRISMA statement is still at the first phase and mainly confined to the field of western medicine, which needs more attention and understanding. Thus, it's necessary to interpret and disseminate the PRISMA statement.
Implementation science is a relatively emergent and growing research area. Implementation research can assist to transform what is possible in theory to reality in practice and address the challenge of implementing proven interventions in the real world. Implementation research has a wide range of usages and complex research problems, so appropriate research methods, designs, and outcomes variables are required to address different research objectives. To better conduct implementation research, this paper systematically introduces the research designs, outcome variables, and reporting guideline of the implementation research in health care, based on the purposes and research questions of implementation research.
Effectiveness-implementation hybrid designs can test the effectiveness of interventions and the outcomes of implementation strategies concurrently and accelerate the transformation of research results into routine practice. This paper introduced three types of effectiveness-implementation hybrid designs and corresponding reporting guidelines, including standards for reporting implementation studies, cluster randomized design and CONSORT 2010, stepped-wedge cluster randomized design and extended version CONSORT 2018, qualitative research and COREQ reporting guideline, and provide references for domestic researchers to produce research reports on effectiveness-implementation hybrid design.
The reporting quality of systematic reviews and meta-analyses is fundamental to the value of evidence in evidence-based medicine. As the internationally endorsed standard, the PRISMA statement and its extensive suite of extensions are crucial for standardizing reporting and enhancing transparency. However, a comprehensive, systematic understanding of its entire framework and profound challenges remains inadequate in the academic community. This review aims to systematically delineate and deeply analyze the complete PRISMA reporting guideline framework, evaluate its application value, uncover its implementation challenges, and forecast its future development directions. This paper traces PRISMA's evolution from its predecessor, QUOROM, to PRISMA 2020, highlighting key shifts in its core principles. It systematically constructs a multi-dimensional framework for the PRISMA family for the first time, categorizing its extensions by foundational versions, study design/analysis types, reporting process stages, disciplinary domains, and specific areas of focus, complemented by a forward-looking analysis of tools currently under development. The review delves into the deep-seated challenges in PRISMA's implementation, including misconceptions, inconsistent application, cross-disciplinary adaptability, and methodological limitations. It proposes that its future lies in balancing standardization with flexibility, enhancing globalized application, and deeply integrating with emerging technologies like artificial intelligence. The PRISMA framework has evolved from a mere reporting checklist into a core methodological architecture that promotes standardization throughout the entire evidence synthesis lifecycle. The continuous optimization and proper application of this framework are of critical theoretical and practical significance for enhancing the overall quality and impact of evidence synthesis research globally.
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.
ObjectiveTo investigate the application status of survival analysis in studies published in Chinese oncology journals, and assess their reporting quality and summarize the existing problems, so as to promote the application of survival analysis and reporting quality. MethodsStudies that used survival analysis were collected from 1 492 studies published in Chinese Journal of Oncology, Chinese Journal of Clinical Oncology, Chinese Journal of Radiation Oncology and Chinese Journal of Cancer Prevention and Treatment in 2013. The application status of survival analysis of included studies was analysed and their reporting quality was evaluated. ResultsA total of 242 survival analysis studies were included. Among them, the utilization rates of Kaplan-Meier method, life table method, log-rank test, Breslow test and Cox proportional hazards model were 91.74%, 3.72%, 78.51%, 0.41% and 46.28%, respectively. 112 studies did multivariate analysis through Cox proportional hazards model. A total of 396 end points and 10 different types of survival time were reported. Overall survival (OS) was reported in 233 studies (92.15%). Survival terms were defined to 158 end points (39.90%) of 103 studies (42.56%). The follow-up rates were mentioned in 155 studies (64.05%), of which 4 studies were under 80% and the lowest was 75.25%, 55 studies were 100%. The main problems of survival analysis studies published in Chinese journals were as follows:None of the studies which used Cox proportional hazards model reported the proportional hazards assumption. None of the studies used the method of parametric survival analysis. 130 studies (53.72%) did not use the method of multiple factor analysis. 139 studies (57.44%) did not define the survival terms. Only 11 of 100 studies which reported loss to follow-up had stated how to treat it in the analysis. None of the studies reported the methods of calculating sample size. None of the studies reported the censoring proportion. ConclusionThe methods of survival analysis are used in a low rate in studies published in Chinese oncology journals, and the overall reporting quality of survival analyses is poor. So the reporting guideline of survival analysis should be developed and the authors should be encouraged to cooperate with professional statisticians, in order to improve the design, analysis and reporting quality of survival analysis studies.
Clinical prediction models typically utilize a combination of multiple variables to predict individual health outcomes. However, multiple prediction models for the same outcome often exist, making it challenging to determine the suitable model for guiding clinical practice. In recent years, an increasing number of studies have evaluated and summarized prediction models using the systematic review/meta-analysis method. However, they often report poorly on critical information. To enhance the reporting quality of systematic reviews/meta-analyses of prediction models, foreign scholars published the TRIPOD-SRMA reporting guideline in BMJ in March 2023. As the number of such systematic reviews/meta-analyses is increasing rapidly domestically, this paper interprets the reporting guideline with a published example. This study aims to assist domestic scholars in better understanding and applying this reporting guideline, ultimately improving the overall quality of relevant research.
Chinese medicine case report, a special method, records the experience of practitioners and guides students to inherit and develop Chinese medicine. It can transfer a large amount of medical and humanistic information and contribute to the development of Chinese medicine. It is a literary style that has been widely accepted and helps to document and disseminate the culture of Chinese medicine. With the advent of big data and information, more Chinese medicine case reports have been published. However, many have insufficient quality to properly guide and apply in the clinical practice, which might be caused by little guidance of Chinese medicine case report standards published. This paper summarized the case report standards, synthesized and appraised the feasibility and problems specific for improving the quality of Chinese medicine case reports, and proposed suggestions and guidance for developing the standardization of Chinese medicine medical case reports.