Objective:The Consolidated Standards for Reporting of Trials(CONSORT) statement has already proved to be an efficient standard for reporting quality of randomized controlled trials(RCTs).However,most of the Chinese me...Objective:The Consolidated Standards for Reporting of Trials(CONSORT) statement has already proved to be an efficient standard for reporting quality of randomized controlled trials(RCTs).However,most of the Chinese medical journals have not endorsed the CONSORT statement.The current situation about the reporting quality of RCTs in Chinese medical journals is still unclear.The purpose of the study was to evaluate the reporting quality of RCTs on papers published in 5 leading Chinese medical journals.Methods:We evaluated 232 original RCT papers using a reporting quality scale based on CONSORT statement from 2001 to 2006 in 5 Chinese medical journals(Journal type 1) without adoption of CONSORT and Chinese Journal of Evidence-based Medicine(Journal type 2) which adopted CONSORT in 2004.We measured the inclusion of 26 items for the reporting quality scale and 6 core items of each RCT report,gave score to each item and calculated the total score obtained in each report and the proportion of reports including individual items.The reporting quality of RCT trials from 2001 to 2003(pre-adoption period) was compared with that from 2004 to 2006(post-adoption period).Results:The average reporting quality of RCTs was moderate(mean score,15.18),and the mean score of the 6 core items was low(mean score,1.09) in 5 leading journals.The difference in the total score and the score of the 6 core items between pre-adoption period(2001-2003) and post-adoption period(2004-2006) was statistically significant(P=0.003;P=0.000).Interaction between journal type and period was not significant(F=0.76;P=0.383).We concluded that the change tendency of reporting quality between Journal type 1 and 2 was not different.But as to the core items of sequence concealment and intention-to-treat analysis,the increases were greater for Journal type 2 when evaluated against Journal type 1(P=0.038;P=0.016).Conclusion:The reporting quality of RCT trials in 5 leading Chinese medical journals is improving.However,the lack of important items in RCT trials remains a serious problem.We recommend the endorsement of the Consolidated Standards for Reporting of Trials statement in Chinese medical journals and the continuing education on evidence-based medicine in China.展开更多
Objective: To study extracellular multi-neuron activity in the nervous system based on wavelet-fractal technique. Methods: The wavelet transform was employed to decompose the original signal and obtain 4 sub-patterns....Objective: To study extracellular multi-neuron activity in the nervous system based on wavelet-fractal technique. Methods: The wavelet transform was employed to decompose the original signal and obtain 4 sub-patterns. The dividing fractal dimensions of these sub-patterns were computed. A knn-classier was used to classify feature vectors. Results: Not all the elements in feature vector DimDC were very powerful for this pattern recognition problem through the empirical study of noise signals. The most effective feature vector was defined as DimDC= (d3:d4) above. Conclusion:Wavelet fractal algorithm has high accuracy and provides a powerful tool for clinical application.展开更多
文摘Objective:The Consolidated Standards for Reporting of Trials(CONSORT) statement has already proved to be an efficient standard for reporting quality of randomized controlled trials(RCTs).However,most of the Chinese medical journals have not endorsed the CONSORT statement.The current situation about the reporting quality of RCTs in Chinese medical journals is still unclear.The purpose of the study was to evaluate the reporting quality of RCTs on papers published in 5 leading Chinese medical journals.Methods:We evaluated 232 original RCT papers using a reporting quality scale based on CONSORT statement from 2001 to 2006 in 5 Chinese medical journals(Journal type 1) without adoption of CONSORT and Chinese Journal of Evidence-based Medicine(Journal type 2) which adopted CONSORT in 2004.We measured the inclusion of 26 items for the reporting quality scale and 6 core items of each RCT report,gave score to each item and calculated the total score obtained in each report and the proportion of reports including individual items.The reporting quality of RCT trials from 2001 to 2003(pre-adoption period) was compared with that from 2004 to 2006(post-adoption period).Results:The average reporting quality of RCTs was moderate(mean score,15.18),and the mean score of the 6 core items was low(mean score,1.09) in 5 leading journals.The difference in the total score and the score of the 6 core items between pre-adoption period(2001-2003) and post-adoption period(2004-2006) was statistically significant(P=0.003;P=0.000).Interaction between journal type and period was not significant(F=0.76;P=0.383).We concluded that the change tendency of reporting quality between Journal type 1 and 2 was not different.But as to the core items of sequence concealment and intention-to-treat analysis,the increases were greater for Journal type 2 when evaluated against Journal type 1(P=0.038;P=0.016).Conclusion:The reporting quality of RCT trials in 5 leading Chinese medical journals is improving.However,the lack of important items in RCT trials remains a serious problem.We recommend the endorsement of the Consolidated Standards for Reporting of Trials statement in Chinese medical journals and the continuing education on evidence-based medicine in China.
基金Supported by the National Natural Science Foundation of China (No. 60371034)
文摘Objective: To study extracellular multi-neuron activity in the nervous system based on wavelet-fractal technique. Methods: The wavelet transform was employed to decompose the original signal and obtain 4 sub-patterns. The dividing fractal dimensions of these sub-patterns were computed. A knn-classier was used to classify feature vectors. Results: Not all the elements in feature vector DimDC were very powerful for this pattern recognition problem through the empirical study of noise signals. The most effective feature vector was defined as DimDC= (d3:d4) above. Conclusion:Wavelet fractal algorithm has high accuracy and provides a powerful tool for clinical application.
