ObjectiveTo analyze the reporting and methodological quality of tranexamic acid meta-analyses published in Chinese journals. MethodsThe CNKI, WanFang Data, and CBM databases were electronically searched for meta-analyses of tranexamic acid from inception to August 12th, 2021. Two reviewers independently screened literature, extracted data, and used AMSTAR 2 and PRISMA 2009 to assess the methodological and reporting quality of publications. ResultsA total of 68 meta-analyses were included. The identified meta-analyses required improvement for items 2, 3, 4, 7, 8, 10, 12, 15, and 16 in the AMSTAR 2, and items 2, 5, 8, 12, 15, 17, 22, 24, and 27 in the PRISMA 2009 assessments, respectively. The methodological and reporting quality scores were positively correlated (rs=0.36, P=0.002). Linear regression analysis identified the mentioning of PRISMA and funding support as the independent factors potentially affecting the reporting quality score (P<0.05). ConclusionsBoth the methodological and reporting quality of the tranexamic acid meta-analyses published in Chinese journals require improvement.
ObjectiveTo evaluate the methodological quality of animal experiments published in high impact journals, in order to provide references for improving the quality of animal experiments.MethodsCSCD and Web of Science databases were electronically searched to collect intervening primordial animal experiments from 2014 to August, 2016. Four reviewers independently screened literatures, extracted data and assessed the methodological quality of included studies by using SYRCLE tool.ResultsA total of 1 999 animal experiments were included. The cited frequency of more than 90% studies were ≤5 times, and of which 52.53% studies were zero. The results of SYRCLE evaluation showed that 54.55% of sub items rated as "low risk" were less than 30%. And 84.62% of them were less than 10%.ConclusionThere are defeet in methodological quality of animal experiments either domestic or abroad. The problems of domestic researches in implementation bias, measurement bias and loss of access bias are particularly obvious. The coincidence rates of "low risk" are much lower than those of abroad studies. Therefore, we suggest that it is necessary to take specific measures to popularize SYRCLE tool to effectively guide the development of animal experiments and improve the design and implementation of animal experiments.
Methodological quality and transferability will be important issues for the credibility and usefulness of both published studies and administrative methods for evaluating the socio-economic value of marketed medicines in China. This paper critically examines factors commonly contributing to, or inhibiting, the quality and transferability of socio-economic evidence of the value of medicines, with specific reference to the Chinese community. It discusses appropriate approaches to design, performance, and reporting of published economic evaluation studies, as well as guides on assessment of quality of economic evaluations and recommends two internationally established methods that may be suitable for training in this setting.
ObjectiveTo provide references for scientific selection of different tools/guidelines by comprehensively collecting international and national tools/guidelines for assessing reporting quality and methodological quality of animal experiments, comparing them in development foundation, application scope, and aims. MethodsPubMed, EMbase, CNKI, VIP and WanFang Data were searched up to July 2014, to collect tools/guidelines for reporting quality and methodological quality of primary animal experiments. We extracted data from included guidelines/tools, including the number of items, development foundation, disease models, application scope, and assessment focus. Then descriptive analysis was conducted. ResultsA total of 32 studies were finally included, of which, 6 were for reporting quality and 26 for methodological quality. The item number of the included tools/guidelines ranged from 2 to 54. Seven tools/guidelines applied score system to assess methodological quality. Fifteen tools/guidelines were designed for specific disease models. Nineteen tools/guidelines were suitable for assessing preclinical drug studies, and 4 were designed to assess environmental toxicology research. ConclusionAlthough many tools for assessing methodological quality of animal experiments have been published so far, SYRCLE's risk of bias tool is the only one that is used to assess internal validity of animal experiments at present. Besides, although the ARRIVE guidelines and GSPC are not official mandatory reporting criteria at present, they are acknowledged by many researchers as efficient reference checklists and writing guidelines for writing and publishing animal experiments. We recommend the application of SYRCLE's risk of bias tool, ARRIVE guidelines and GSPC, in order to efficiently improve research design, implementation, reporting, differentiation, and evaluation of animal experiments, promote the development of animal experiments, and to promote full application and translation of scientific achievements.
Objective To assess the methodological quality and reporting quality of meta-analysis published in Chinese Acupuncture & Moxibustion. Methods We searched CNKI database to collect meta-analysis published in Chinese Acupuncture & Moxibustion up to 2015. Methodological quality assessment was carried out using AMSTAR tool, and quality assessment was carried out by PRISMA checklist. Data analysis was performed by using SPSS 19.0 software. Results A total of 31 meta-analyses were enrolled. Among all the 31 meta-analyses, the first authors came from 19 institutions, and 21 meta-analysis were supported by fundings. All meta-analyses were about the evaluations of acupuncture intervention, involving 10 disease systems (ICD-10) and sub-health. The mean score of the methodological assessment was 7.42±1.13. In addition, the mean score of reporting quality was 18.79±2.04. Conclusion The meta-analyses published in Chinese Acupuncture & Moxibustion have high quality on methodology as well as reporting. Due to the limited quality and quantity of included studies, the above results are needed to be further assessed by more studies.
ObjectivesTo evaluate the methodology quality and report quality of the published systematic reviews/meta-analyses (SRs/MAs) of pediatric tuina domestically and abroad.MethodsCBM, VIP, CNKI, WanFang Data, PubMed, EMbase, and The Cochrane Library were electronically searched to collect published pediatric tuina SRs/MAs from inception to December 10th, 2018. The SRs/MAs which includes scale evaluation used AMSTAR2 and the PRISMA report quality evaluation tool to systematically review methodology, adopts Excel to carry out data collation and statistical analysis. ResultsA total of 18 studies (14 in Chinese and 4 in English) on the SRs/MAs of pediatric tuina were finally included. In terms of methodological quality, 6 studies were of low quality and 12 studies were of very low quality. All studies did not explain the reasons for adopting a particular research design type, and few of them explained the pre-plan, exclusion list, reasons and funding. In terms of report quality, 7 studies were relatively complete, 10 studies had certain defects and one study had serious defects. The existing problems were program and registration, comprehensive retrieval, information sources, financial support and so on. ConclusionsSRs/MAs of pediatric tuina have different degrees of issues in terms of methodological quality and report quality which still require further improvement and continuous strengthening.
Objective To systematically review the methodological quality of research on clinical prediction models of traditional Chinese medicine. Methods The PubMed, Embase, Web of Science, CNKI, WanFang Data, VIP and SinoMed databases were electronically searched to collect literature related to the research on clinical prediction models of traditional Chinese medicine from inception to March 31, 2023. Two reviewers independently screened literature, extracted data and assessed the risk of bias of the included studies based on prediction model risk of bias assessment tool (PROBAST). Results A total of 113 studies on clinical prediction models of traditional Chinese medicine (79 diagnostic model studies and 34 prognostic model studies) were included. Among them, 111 (98.2%) studies were rated at high risk of bias, while 1 (0.9%) study was rated at low risk of bias and risk of bias of 1 (0.9%) study was unclear. The analysis domain was rated with the highest proportion of high risk of bias, followed by the participants domain. Due to the widespread lack of reporting of specific study information, risk of bias of a large number of studies was unclear in both predictors and outcome domain. Conclusion Most existing researches on clinical prediction models of traditional Chinese medicine show poor methodological quality and are at high risk of bias. Factors contributing to risk of bias include non-prospective data source, outcome definitions that include predictors, inadequate modeling sample size, inappropriate feature selection, inaccurate performance evaluation, and incorrect internal validation methods. Comprehensive methodological improvements on design, conduct, evaluation, and validation of modeling, as well as reporting of all key information of the models are urgently needed for future modeling studies, aiming to facilitate their translational application in medical practice.
ObjectivesTo assess the methodological and reporting quality of surgical meta-analyses published in English in 2014.MethodsAll meta-analyses investigating surgical procedures published in 2014 were selected from PubMed and EMbase. The characteristics of these meta-analyses were collected, and their reporting and methodological quality were assessed by the PRISMA and AMSTAR, respectively. Independent predictive factors associated with these two qualities were evaluated by univariate and multivariate analyses.ResultsA total of 197 meta-analyses covering 10 surgical subspecialties were included. The mean PRISMA and AMSTAR score (by items) were 22.2±2.4 and 7.8±1.2, respectively, and a positive linear correlation was found between them with a R2 of 0.754. Those meta-analyses conducted by the first authors who had previously published meta-analysis was significantly higher in reporting and methodological quality than those who had not (P<0.001). Meanwhile, there were also significant differences in these reporting (P<0.001) and methodological (P<0.001) quality between studies published in Q1 ranked journals and (Q2+Q3) ranked jounals. On multivariate analyses, region of origin (non-Asiavs. Asia), publishing experience of first authors (ever vs. never), rank of publishing journals (Q1 vs. Q2+Q3), and preregistration (presence vs. absence) were associated with better reporting and methodologic quality, independently.ConclusionThe reporting and methodological quality of current surgical meta-analyses remained suboptimal, and first authors' experience and ranking of publishing journals were independently associated with both qualities. Preregistration may be an effective measure to improve the quality of meta-analysis, which deserves more attention from future meta-analysis reviewers.
ObjectiveUsing SYRCLE tool (the SYstematic Review Centre for Laboratory animal Experimentation) to evaluate the risk of bias of animal studies in stroke field published in Chinese journals, identify problems of these studies in design, implementation and measurement, in order to provide references for improving the quality of animal studies in China. MethodsWe searched databases including CBM, VIP, CNKI and WanFang Data from inception to December 31st, 2014. Two reviewers independently screened literature, extracted data, and assessed the risk of bias of included animal studies using SYRCLE tool developed by the National Centre for the Replacement, Refinement and Reduction of Animals in Research. ResultsA total of 582 studies were included. The assessment results showed that the number of reported items with "Low Risk" in SYRCLE, which have 22 items, reported in >50% of the 4 items and in <30% the 16 items in articles of animals experiments. More than 99% of the studies fulfilled the 3 items and more than 17% of the articles to meet the 10 items while less than 1% of the documents met the 17 items. The quality of studies increased excepted the period of 2010 to 2014. The methodological quality of animal experiments presented a trend of increasing and no significant differences were found in CSCD indexed or not. ConclusionThe methodological quality of animal experiments of stroke is poor in China in terms of the selection bias, implementation bias, measurement bias, withdraw bias and reporting bias.
ObjectiveTo evaluate the methodological quality of cross-sectional surveys about Chinese medicine syndrome in a population at potential risk of cerebrovascular diseases. Methods The CNKI, WanFang Data, CBM and PubMed databases were electronically searched to collect cross-sectional surveys about Chinese medicine syndromes in a population at potential risk of cerebrovascular diseases from inception to December, 2022. The methodological quality was assessed using the JBI scale. Results A total of 105 studies were included. The average reporting rate of JBI was 52.06%, and the items with the highest scores included "sufficient coverage of the identified sample in data analysis" (100%), "description of study subjects and setting" (92.38%), and "using valid methods for the identification of the condition" (86.67%). Items with the lowest scores included "adequate sample size" (13.33%), "adequate response rate or low response rate managed appropriately" (14.29%), and "study participants recruited in an appropriate way" (20.95%). Subgroup analysis suggested that type of publication and number of implementation centers were potential factors influencing methodology quality (P<0.05). Conclusion The methods essential to a cross-sectional survey such as sampling, sample size calculation and handling with the response rate, and the syndrome diagnosis scales specific to Chinese medicine require further improvement.