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 clinical practice guidelines and expert consensus of chronic heart failure domestically and abroad.MethodsPubMed, EMbase, SinoMed, CNKI, WanFang Data, and VIP databases, and related websites were searched to collect guidelines and expert consensus on chronic heart failure published from January 1st, 2011 to December 31st, 2020. Four reviewers evaluated the methodological quality of the guidelines and expert consensus with the AGREE Ⅱ tool after the consistency evaluation training.ResultsA total of 17 studies were included (consisting of 11 English and 6 Chinese studies). The recommended levels were B level (recommend after modification) for 10 studies and C level (not recommended) for 7 studies. The AGREE Ⅱ standardized mean scores for various fields were 69.61% (scope and purpose), 34.20% (stakeholder involvement), 33.13% (rigor of development), 84.53% (clarity and presentation), 42.40% (applicability), and 37.09% (editorial independence). The methodological quality of English guidelines was generally high (level B for 10 and level C for 1), while all scores of Chinese guidelines or consensus in the 6 fields were mostly lower than the average (level C for 6).ConclusionsThe guidelines for the diagnosis and treatment of chronic heart failure requires further improvement in terms of stakeholder involvement and rigor of development. It should develop standards and methods to improve the quality for Chinese guidelines and expert consensus to better serve clinical practice.
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.
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.
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.
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.
ObjectiveTo evaluate the current status and trend of methodological quality of multi-center randomized controlled trials (RCTs) of stroke treatments in Chinese Mainland.MethodsMulti-center RCTs of stroke treatments conducted in Chinese Mainland published in Chinese or English language from January 2000 to December 2019 were retrieved from seven databases including PubMed, Cochrane Central Registry of Controlled Trials, Embase, China Biology Medicine, China National Knowledge Infrastructure, Chinese Science and Technique Journals Database, and Wanfang Database. The basic information was collected. Methodological items were referred to the Cochrane Collaboration’s tool for assessing risk of bias. The definitions of Wade were used to assess the outcome measure.ResultsA total of 90 multi-center RCTs were included, of which 39 were published from 2000 to 2009, and 51 were published from 2010 to 2019. The total number of trials published from 2010 to 2019 was 1.31 times of that published from 2000 to 2009. The research subjects were ischemic stroke patients in 58.9% (53/90) of the RCTs, intracerebral hemorrhage patients in 14.4% (13/90) of the RCTs, and ischemic stroke patients as well as hemorrhagic stroke patients in 26.7% (24/90) of the RCTs. There were 55.6% (50/90) drug trials, and 44.4% (40/90) non-drug trials. There were statistically significant differences in the loss of visit report (P=0.005), primary and secondary outcome indicators report (P=0.027), and adverse reaction report (P=0.007) between the two periods; there was no statistically significant difference in reported adequate randomized methods (P=0.341), allocation concealment (P=0.611), blindness (P=0.551), used intentionality analysis (P=0.573), or follow-up time (P=0.061) between the two periods.ConclusionIn the past 20 years in Chinese Mainland, the quality of stroke treatment RCTs improves slowly, and more attention should be paid to develop the RCTs of true randomization, blinding, and better patient outcome measures.
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.
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.