To compare the diagnostic value of four signs for superior labrum anterior and posterior (SLAP) lesions of the shoulder.Methods The physical examination was performed randomly on 81 cases with abnormalities of the sho...To compare the diagnostic value of four signs for superior labrum anterior and posterior (SLAP) lesions of the shoulder.Methods The physical examination was performed randomly on 81 cases with abnormalities of the shoulder.There were four tests,including Kibler anterior sliding test,Liu crank test,O’Brien active compression test and Kim biceps load test Ⅱ.The arthroscopic examination were also performed.The result of the arthroscopic examination was considered as a golden standard,so that we could estimate the diagnosis value of the four tests according to the method of evaluation of diagnosis test on clinical epidemiology,their sensitivity,specificity,positive and negative predictive value,accuracy.Results There were 21 cases diagnosed as SLAP lesions by arthroscopy.The diagnosis value of Kim biceps load test Ⅱ was the highest among the four tests,in which 19 of true positive,59 of true negative,1 of false positive,only 2 of false negative cases;while the sensitivity was 90.48%,specificity was 98.33%,positive predictive value was 95.00%,negative predictive value was 96.72%,and accuracy was 96.30%.However the sensitivity,specificity,positive predicitive value,negative predictive vale and accuracy of Kibler anterior sliding test were 76.19%,96.67%,88.89%,92.06%,91.33%;and those of Liu crank test were 85.71%,93.33%,81.82%,94.92%,91.35%;those of O’Brien active compression test were 80.95%,91.66%,77.27%,93.22%,88.89%.Conclusion Kim Biceps load test Ⅱ may be the best for clinical diagnosis of SLAP lesions of the shoulder.9 refs,4 figs,2 tabs.展开更多
Several prediction models have been developed to estimate the outcomes of prostate biopsies. Most of these tools were designed for use with Western populations and have not been validated across different ethnic group...Several prediction models have been developed to estimate the outcomes of prostate biopsies. Most of these tools were designed for use with Western populations and have not been validated across different ethnic groups. Therefore, we evaluated the predictive value of the Prostate Cancer Prevention Trial (PCPT) and the European Randomized Study of Screening for Prostate Cancer (ERSPC) risk calculators in a Chinese cohort. Clinicopathological information was obtained from 495 Chinese men who had undergone extended prostate biopsies between January 2009 and March 2011. The estimated probabilities of prostate cancer and high-grade disease (Gleason 〉6) were calculated using the PCPT and ERSPC risk calculators. Overall measures, discrimination, calibration and clinical usefulness were assessed for the model evaluation. Of these patients, 28.7% were diagnosed with prostate cancer and 19.4% had high-grade disease. Compared to the PCPT model and the prostate-specific antigen (PSA) threshold of 4 ng m1-1, the ERSPC risk calculator exhibited better discriminative ability for predicting positive biopsies and high-grade disease (the area under the curve was 0.831 and 0.852, respectively, P〈O.01 for both). Decision curve analysis also suggested the favourable clinical utility of the ERSPC calculator in the validation dataset. Both prediction models demonstrated miscalibration: the risk of prostate cancer and high-grade disease was overestimated by approximately 20% for a wide range of predicted probabilities. In conclusion, the ERSPC risk calculator outperformed both the PCPT model and the PSA threshold of 4 ng ml- z in predicting prostate cancer and high-grade disease in Chinese patients. However, the prediction tools derived from Western men significantly overestimated the probability of prostate cancer and high-grade disease compared to the outcomes of biopsies in a Chinese cohort.展开更多
Australian cotton production predominantly occurs on Vertisols.The average lint yield of cotton grown in Australia is 2260–2700 kg·hm^(−2),which is 2.5 to 3 times the world average.This high productivity per uni...Australian cotton production predominantly occurs on Vertisols.The average lint yield of cotton grown in Australia is 2260–2700 kg·hm^(−2),which is 2.5 to 3 times the world average.This high productivity per unit of land area requires efficient use of resources such as water and nutrients.However,high yields accelerate the export of nutrients such as phosphorus(P)in seed,depleting the soil reserves of P more than in other countries with lower cotton yields.Recent surveys of cotton industry indicate that P application rates should match seed P export(30~40 kg·hm−2),but historical depletion within subsoil is still evident and is continuing.Depletion of soil P is typically more pronounced in the subsoil than in the topsoil(0~20 cm)where P fertiliser is applied,as cotton roots rely on these layers as important sources of plant available water and available P.This mismatch between zones of P uptake and resupply may increase stratification of available P in the soil profile.Recent studies showed that cotton responded poorly to banded applications of fertiliser P,while dispersal of fertiliser throughout the plant beds was more successful.Researchers have also observed sporadic cotton responses to applied P fertiliser in soils where available P concentrations were well above the previously determined critical concentrations indicative of fertiliser P responses in Australia.To sustain highyielding cotton production in Australia,a greater understanding of cotton root acquisition of applied P,as well as a re-examination of critical soil P concentrations for each production region are required.展开更多
The authors of the World Health Organization Semen Analysis Manual are to be congratulated on producing a new edition; it is an essential tool to disseminate good practice in andrology. However, the tests described ha...The authors of the World Health Organization Semen Analysis Manual are to be congratulated on producing a new edition; it is an essential tool to disseminate good practice in andrology. However, the tests described have poor prognostic power to predict a man's fertility and show little about the underlying causes of sub-fertility. This commentary urges a revival of research into the diagnosis of male fertility. It suggests that fertility should be regarded as a continuum and that the artificial binary division between fertile and infertile should be abandoned. Models to predict a sub-fertile couple's chance of conception in a year should be developed on the basis of prospective data. These models would allow for sophisticated decision making about management. The future lies in the identification of tests to detect underlying pathologies open to specific treatment. Leads such as oxidative stress, defects in the intracellular regulation and the developing field ofproteomics should be explored.展开更多
Two hundred and ninety-six samples of patient serum and 28 samples of donor serum were tested for anti-HCV with second generation domestic made testing kit,and for HCV RNA with PCR assay.The purpose of the study was
Background: Lupus nephritis (LN) is classified by renal biopsy into proliferative and nonproliferative forms, with distinct prognoses, but renal biopsy is not available for every LN patient. The present study aimed...Background: Lupus nephritis (LN) is classified by renal biopsy into proliferative and nonproliferative forms, with distinct prognoses, but renal biopsy is not available for every LN patient. The present study aimed to establish an alternate tool by building a predictive model to evaluate the probability of proliferative LN. Methods: In this retrospective cohort with biopsy-proven LN, 382 patients in development cohort, 193 in internal validation cohort, and 164 newly diagnosed patients in external validation cohort were selected. Logistic regression model was established, and the concordance statistics (C-statistics), Akaike information criterion (AIC), integrated discrimination improvement, Hosmer-Lemeshow test, and net reclassification improvement were calculated to evaluate the performance and validation of models. Results: The prevalence of proliferative LN was 77.7% in the whole cohort. A model, including age, gender, systolic blood pressure, hemoglobin, proteinuria, hematuria, and serum C3, performed well on good-of-fit and discrimination in the development chohort to predict the risk of proliferative LN (291 for AIC and 0.84 for C-statistics). In the internal and external validation cohorts, this model showed good capability for discrimination and calibration (0.84 and 0.82 for C-statistics, and 0.99 and 0.75 for P values, respectively). Conclusion: This study developed and validated a model including demographic and clinical indices to evaluate the probability of presenting proliferative LN to guide therapeutic decisions and outcomes.展开更多
文摘To compare the diagnostic value of four signs for superior labrum anterior and posterior (SLAP) lesions of the shoulder.Methods The physical examination was performed randomly on 81 cases with abnormalities of the shoulder.There were four tests,including Kibler anterior sliding test,Liu crank test,O’Brien active compression test and Kim biceps load test Ⅱ.The arthroscopic examination were also performed.The result of the arthroscopic examination was considered as a golden standard,so that we could estimate the diagnosis value of the four tests according to the method of evaluation of diagnosis test on clinical epidemiology,their sensitivity,specificity,positive and negative predictive value,accuracy.Results There were 21 cases diagnosed as SLAP lesions by arthroscopy.The diagnosis value of Kim biceps load test Ⅱ was the highest among the four tests,in which 19 of true positive,59 of true negative,1 of false positive,only 2 of false negative cases;while the sensitivity was 90.48%,specificity was 98.33%,positive predictive value was 95.00%,negative predictive value was 96.72%,and accuracy was 96.30%.However the sensitivity,specificity,positive predicitive value,negative predictive vale and accuracy of Kibler anterior sliding test were 76.19%,96.67%,88.89%,92.06%,91.33%;and those of Liu crank test were 85.71%,93.33%,81.82%,94.92%,91.35%;those of O’Brien active compression test were 80.95%,91.66%,77.27%,93.22%,88.89%.Conclusion Kim Biceps load test Ⅱ may be the best for clinical diagnosis of SLAP lesions of the shoulder.9 refs,4 figs,2 tabs.
文摘Several prediction models have been developed to estimate the outcomes of prostate biopsies. Most of these tools were designed for use with Western populations and have not been validated across different ethnic groups. Therefore, we evaluated the predictive value of the Prostate Cancer Prevention Trial (PCPT) and the European Randomized Study of Screening for Prostate Cancer (ERSPC) risk calculators in a Chinese cohort. Clinicopathological information was obtained from 495 Chinese men who had undergone extended prostate biopsies between January 2009 and March 2011. The estimated probabilities of prostate cancer and high-grade disease (Gleason 〉6) were calculated using the PCPT and ERSPC risk calculators. Overall measures, discrimination, calibration and clinical usefulness were assessed for the model evaluation. Of these patients, 28.7% were diagnosed with prostate cancer and 19.4% had high-grade disease. Compared to the PCPT model and the prostate-specific antigen (PSA) threshold of 4 ng m1-1, the ERSPC risk calculator exhibited better discriminative ability for predicting positive biopsies and high-grade disease (the area under the curve was 0.831 and 0.852, respectively, P〈O.01 for both). Decision curve analysis also suggested the favourable clinical utility of the ERSPC calculator in the validation dataset. Both prediction models demonstrated miscalibration: the risk of prostate cancer and high-grade disease was overestimated by approximately 20% for a wide range of predicted probabilities. In conclusion, the ERSPC risk calculator outperformed both the PCPT model and the PSA threshold of 4 ng ml- z in predicting prostate cancer and high-grade disease in Chinese patients. However, the prediction tools derived from Western men significantly overestimated the probability of prostate cancer and high-grade disease compared to the outcomes of biopsies in a Chinese cohort.
基金supported by funding from the Australian Government Department of Agriculture,Water and the Environment as a part of its Rural R&D for Profit programthe Cotton Research and Development Corporation through the “More profit from nitrogen:enhancing the nutrient use e ciency of intensive cropping and pasture systems” project.
文摘Australian cotton production predominantly occurs on Vertisols.The average lint yield of cotton grown in Australia is 2260–2700 kg·hm^(−2),which is 2.5 to 3 times the world average.This high productivity per unit of land area requires efficient use of resources such as water and nutrients.However,high yields accelerate the export of nutrients such as phosphorus(P)in seed,depleting the soil reserves of P more than in other countries with lower cotton yields.Recent surveys of cotton industry indicate that P application rates should match seed P export(30~40 kg·hm−2),but historical depletion within subsoil is still evident and is continuing.Depletion of soil P is typically more pronounced in the subsoil than in the topsoil(0~20 cm)where P fertiliser is applied,as cotton roots rely on these layers as important sources of plant available water and available P.This mismatch between zones of P uptake and resupply may increase stratification of available P in the soil profile.Recent studies showed that cotton responded poorly to banded applications of fertiliser P,while dispersal of fertiliser throughout the plant beds was more successful.Researchers have also observed sporadic cotton responses to applied P fertiliser in soils where available P concentrations were well above the previously determined critical concentrations indicative of fertiliser P responses in Australia.To sustain highyielding cotton production in Australia,a greater understanding of cotton root acquisition of applied P,as well as a re-examination of critical soil P concentrations for each production region are required.
文摘The authors of the World Health Organization Semen Analysis Manual are to be congratulated on producing a new edition; it is an essential tool to disseminate good practice in andrology. However, the tests described have poor prognostic power to predict a man's fertility and show little about the underlying causes of sub-fertility. This commentary urges a revival of research into the diagnosis of male fertility. It suggests that fertility should be regarded as a continuum and that the artificial binary division between fertile and infertile should be abandoned. Models to predict a sub-fertile couple's chance of conception in a year should be developed on the basis of prospective data. These models would allow for sophisticated decision making about management. The future lies in the identification of tests to detect underlying pathologies open to specific treatment. Leads such as oxidative stress, defects in the intracellular regulation and the developing field ofproteomics should be explored.
文摘Two hundred and ninety-six samples of patient serum and 28 samples of donor serum were tested for anti-HCV with second generation domestic made testing kit,and for HCV RNA with PCR assay.The purpose of the study was
基金Study was supported by grants from State Key Program of National Natural Science of China (No. 8113002), Natural Science Foundation of Guangdong (No. 2014B030301023), Guangzhou Committee of Science and Technology (No. 2014YZ-00102), National Natural Science Foundation of China (No. 81470952), and the Chinese National Key Technology R and D Program, Ministry of Science and Technology (No. 2016YFC0906100, No. 2016YFC090610 l, No. 2017YFC0907601, No. 2017YFC0907602, and No. 2017YFC0907603).
文摘Background: Lupus nephritis (LN) is classified by renal biopsy into proliferative and nonproliferative forms, with distinct prognoses, but renal biopsy is not available for every LN patient. The present study aimed to establish an alternate tool by building a predictive model to evaluate the probability of proliferative LN. Methods: In this retrospective cohort with biopsy-proven LN, 382 patients in development cohort, 193 in internal validation cohort, and 164 newly diagnosed patients in external validation cohort were selected. Logistic regression model was established, and the concordance statistics (C-statistics), Akaike information criterion (AIC), integrated discrimination improvement, Hosmer-Lemeshow test, and net reclassification improvement were calculated to evaluate the performance and validation of models. Results: The prevalence of proliferative LN was 77.7% in the whole cohort. A model, including age, gender, systolic blood pressure, hemoglobin, proteinuria, hematuria, and serum C3, performed well on good-of-fit and discrimination in the development chohort to predict the risk of proliferative LN (291 for AIC and 0.84 for C-statistics). In the internal and external validation cohorts, this model showed good capability for discrimination and calibration (0.84 and 0.82 for C-statistics, and 0.99 and 0.75 for P values, respectively). Conclusion: This study developed and validated a model including demographic and clinical indices to evaluate the probability of presenting proliferative LN to guide therapeutic decisions and outcomes.