Objective: To provide high-quality clinical evidence of the efficacy of Tibetan medicine Honghua Ruyi (HHRY) pills for endometriosis-associated dysmenorrhea. Methods: This study constitutes a multicenter, randomized, double-blind, placebo-controlled trial encompassing a three-menstrual cycle intervention followed by a three-menstrual cycle follow-up period. A total of 164 eligible females with endometriosis-associated dysmenorrhea were randomly divided into HHRY pills and placebo groups in a 1:1 ratio. The primary outcome included dysmenorrhea symptoms assessed using Visual Analog Scale (VAS) scores and quality of life, whereas the secondary outcome measures included the maximum VAS for non-menstrual pelvic pain, duration of pain episodes (in days), frequency and quantity of the consumption of ibuprofen sustained-release capsules (or other non-steroidal anti-inflammatory drugs), and days off work/study for staff/student due to dysmenorrhea, ovarian cyst, and/or pelvic nodule size. The safety was monitored throughout the treatment period. All the analyses were based on the intention-to-treat principle. For continuous outcomes, simple or multiple linear regressions were used to estimate the differences between the HHRY pills and placebo groups, with categorical data expressed as the number and percentage of occurrences. Differences were compared using the chi-square test or Fisher's exact test. The predefined analysis was adjusted for concomitant treatment, a variable considered to be associated with outcomes but unaffected by treatment allocation. Estimates of treatment effects were reported with 95% confidence intervals. Two-tailed P values ≤ .05 were considered statistically significant. Conclusion Positive results from this trial, upon completion would provide robust evidence for the efficacy and safety of HHRY pills in treating dysmenorrhea in patients with endometriosis.

ObjectiveTo adapt the Stanford Expectations of Treatment Scale（SETS） into Chinese（C-SETS） and test the feasibility， validity and reliability of its application in patients with diarrhea-predominant irritable bowel syndrome（IBS-D） with liver-constraint and spleen-deficiency syndrome treated with traditional Chinese medicine（TCM）. MethodsWe obtained authorisation from the developer of the SETS， and followed the principle of "two-way translation" to translate the SETS by literal translation and back translation to form the C-SETS. Ninety-six IBS-D patients with liver-constraint and spleen-deficiency syndrome were enrolled as respondents and filled out C-SETS before receiving treatment； the feasibility was assessed by the recall rate， completion rate and the duration of filling out the scale； the reliability was assessed by Cronbach's α； the structural validity was assessed by exploratory and confirmatory factor analysis， and the content validity was assessed by correlation analysis. ResultsThe C-SETS consists of 10 items， with the 1st， 3rd， and 5th rating items constituting the Positive Expectations subscale， and the 2nd， 4th， and 6th rating items constituting the Negative Expectations subscale， each of which is rated on a 7-point Likert Scale. The recall of C-SETS was 100%（96/96）， the completion rate was 89.58%（86/96）； Cronbach's α for the Positive and Negative Treatment Expectations subscales were 0.845 and 0.854， respectively； exploratory factor analysis showed that the coefficient of commonality for all six entries was larger than 0.4， and that the six entries could be used by both factors to explain 77.092% of the total variance； validation factor analysis showed that the goodness-of-fit index， comparative fit index， root mean square of approximation error， canonical fit coefficient， and chi-square degrees of freedom ratio took the values of 0.943， 1.003， 0， 0.943， and 0.626， respectively； and the results of Spearman's analysis suggested that the C-SETS had good content validity. ConclusionThe C-SETS has well feasibility， reliability， and validity， which initially proves that it can be used as a tool to assess the treatment expectation of patients with IBS-D with liver-constraint and spleen-deficiency syndrome before receiving TCM treatment.

Objective: Hand clumsiness and reduced hand dexterity can signal early signs of degenerative cervical myelopathy (DCM). While the 10-second grip and release (10-s G&R) test is a common clinical tool for evaluating hand function, a more accessible method is warranted. This study explores the use of deep learning-enhanced hand grip and release test (DL-HGRT) for predicting DCM and evaluates its capability to reduce the duration of the 10-s G&R test. Methods: The retrospective study included 508 DCM patients and 1,194 control subjects. Propensity score matching (PSM) was utilized to minimize the confounding effects related to age and sex. Videos of the 10-s G&R test were captured using a smartphone application. The 3D-MobileNetV2 was utilized for analysis, generating a series of parameters. Additionally, receiver operating characteristic curves were employed to assess the performance of the 10-s G&R test in predicting DCM and to evaluate the effectiveness of a shortened testing duration. Results: Patients with DCM exhibited impairments in most 10-s G&R test parameters. Before PSM, the number of cycles achieved the best diagnostic performance (area under the curve [AUC], 0.85; sensitivity, 80.12%; specificity, 74.29% at 20 cycles), followed by average grip time. Following PSM for age and gender, the AUC remained above 0.80. The average grip time achieved the highest AUC of 0.83 after 6 seconds, plateauing with no significant improvement in extending the duration to 10 seconds, indicating that 6 seconds is an adequate timeframe to efficiently evaluate hand motor dysfunction in DCM based on DL-HGRT. Conclusion DL-HGRT demonstrates potential as a promising supplementary tool for predicting DCM. Notably, a testing duration of 6 seconds appears to be sufficient for accurate assessment, enhancing the test more feasible and practical without compromising diagnostic performance.

Objective:To investigate the effect of inflammatory factors(IL-2,INF-γ,IL-10,TNF-α)and CD4+and CD8+T cells in vaginal lavage in high-grade cervical squamous intraepithelial lesions(HSIL)and early cervical cancer(CC).Methods:To collect clinical data of HSIL(n=120)and early CC patients(n=44)after high-risk human papilloma virus(HR-HPV)infection.And healthy middle-aged women not infected with HR-HPV were randomly selected as control.The clinical data of the subjects in three groups were compared,inflammatory factors distribution and ratio of CD4+and CD8+T cells in serum and vaginal lavage fluid were compared.Multivariate Logistic regression performed to analyze the influencing factors of HSIL progression to early CC,ROC and calibration plot were drawn to evaluate the model.Results:The difference was not statistically significant in serum IL-2,INF-γ,IL-10,TNF-α levels,CD4+T cell distribution,CD8+T cell distribution and CD4+/CD8+ratio in sub-jects of control group,HSIL group and early CC group(P>0.05).The difference was statistically significant in the vaginal lavage levels of IL-2,INF-γ,IL-10,TNF-α levels,CD4+T cell distribution,CD8+T cell distribution and CD4+/CD8+ratio(P<0.05),plus the level of HSIL patients was higher than that of control subjects(P<0.05).Logistic regression analysis showed that parity>2(OR=3.119,95%CI:4.353～6.737)and the percentage of CD4+T cells in vaginal lavage fluid(OR=0.327,95%CI:0.188-0.478)in model 2(P<0.001,AUC=0.908),CD4+/CD8+(OR=0.809,95%CI:0.356-1.868)(P<0.001,AUC=0.873)in model 3 has an independent influence on the development of HSIL to early CC;the difference is not significant(Z=1.550 4,P=0.121)in ROC curves of the two models.CD4+/CD8+ratio as only one indictor in Model 3 can be good predic-tion,and the calibration curve of this model is close to the standard curve.Conclusions:After HR-HPV infection,the systemic immune status does not participate in HSIL and HSIL progression to early CC,but the cervical local immune status is involved,in which CD4+/CD8+T cell ratio is an independent protective factor.

Objective To investigate the therapeutic effects of Isaria felina derived from Cordyceps sinensis combined with cyclophosphamide(CTX)in hepatoma H22 tumor-bearing mice.Methods An H22 tumor-bearing mouse model was established and mice were divided randomly into a normal control group(NC group,distilled water),model control group(MC group,distilled water),positive control group(CTX group,25 mg/kg),Isaria felina group(IF group,400 mg/kg),and combined administration group(IF+CTX group,IF 400 mg/kg+CTX 25 mg/kg),with 5 mice in each group.Distilled water and IF were administered by gavage,and CTX was administered by intraperitoneal injection.The administration cycle was 10 days.At the end of the experiment,the mean tumor volume and weight,tumor inhibition rate,q value,and immune organ index were calculated,and routine blood indexes and cytokine levels were determined.Histopathological changes in tumor tissues were observed by HE staining.Results The tumor volume and mass were significantly lower in mice in each treatment group compared with those in mice in the MC group(P＜0.05).The tumor inhibition rates in the CTX,IF,and IF+CTX groups were 49.3%,34.2%,and 72.8%,respectively,and the q value was 1.09.The numbers of white blood cells,Lymph,and platelets were significantly higher in the IF+CTX group than in the CTX group(P＜0.05).The spleen index was significantly higher in the MC group compared with that in the NC group,and significantly lower in the IF+CTX group compared with that in the MC group(P＜0.05).Serum interferon-γ levels were significantly lower in the MC group than in the NC group,and were significantly higher in the IF and IF+CTX groups compared with those in the MC and CTX groups(P＜0.05).Pathologically,tumor cells in the MC group grew well and were numerous and closely arranged,while cells in the CTX,IF,and IF+CTX groups were arranged loosely,with focal necrosis and nuclear pyknosis of necrotic cells in many places.Conclusions The combination of IF and CTX has an additive anti-tumor effect on H22 tumor-bearing mice,which can alleviate immunosuppression and have an immunomodulatory function.

Objective: Hand clumsiness and reduced hand dexterity can signal early signs of degenerative cervical myelopathy (DCM). While the 10-second grip and release (10-s G&R) test is a common clinical tool for evaluating hand function, a more accessible method is warranted. This study explores the use of deep learning-enhanced hand grip and release test (DL-HGRT) for predicting DCM and evaluates its capability to reduce the duration of the 10-s G&R test. Methods: The retrospective study included 508 DCM patients and 1,194 control subjects. Propensity score matching (PSM) was utilized to minimize the confounding effects related to age and sex. Videos of the 10-s G&R test were captured using a smartphone application. The 3D-MobileNetV2 was utilized for analysis, generating a series of parameters. Additionally, receiver operating characteristic curves were employed to assess the performance of the 10-s G&R test in predicting DCM and to evaluate the effectiveness of a shortened testing duration. Results: Patients with DCM exhibited impairments in most 10-s G&R test parameters. Before PSM, the number of cycles achieved the best diagnostic performance (area under the curve [AUC], 0.85; sensitivity, 80.12%; specificity, 74.29% at 20 cycles), followed by average grip time. Following PSM for age and gender, the AUC remained above 0.80. The average grip time achieved the highest AUC of 0.83 after 6 seconds, plateauing with no significant improvement in extending the duration to 10 seconds, indicating that 6 seconds is an adequate timeframe to efficiently evaluate hand motor dysfunction in DCM based on DL-HGRT. Conclusion DL-HGRT demonstrates potential as a promising supplementary tool for predicting DCM. Notably, a testing duration of 6 seconds appears to be sufficient for accurate assessment, enhancing the test more feasible and practical without compromising diagnostic performance.

Objective: Hand clumsiness and reduced hand dexterity can signal early signs of degenerative cervical myelopathy (DCM). While the 10-second grip and release (10-s G&R) test is a common clinical tool for evaluating hand function, a more accessible method is warranted. This study explores the use of deep learning-enhanced hand grip and release test (DL-HGRT) for predicting DCM and evaluates its capability to reduce the duration of the 10-s G&R test. Methods: The retrospective study included 508 DCM patients and 1,194 control subjects. Propensity score matching (PSM) was utilized to minimize the confounding effects related to age and sex. Videos of the 10-s G&R test were captured using a smartphone application. The 3D-MobileNetV2 was utilized for analysis, generating a series of parameters. Additionally, receiver operating characteristic curves were employed to assess the performance of the 10-s G&R test in predicting DCM and to evaluate the effectiveness of a shortened testing duration. Results: Patients with DCM exhibited impairments in most 10-s G&R test parameters. Before PSM, the number of cycles achieved the best diagnostic performance (area under the curve [AUC], 0.85; sensitivity, 80.12%; specificity, 74.29% at 20 cycles), followed by average grip time. Following PSM for age and gender, the AUC remained above 0.80. The average grip time achieved the highest AUC of 0.83 after 6 seconds, plateauing with no significant improvement in extending the duration to 10 seconds, indicating that 6 seconds is an adequate timeframe to efficiently evaluate hand motor dysfunction in DCM based on DL-HGRT. Conclusion DL-HGRT demonstrates potential as a promising supplementary tool for predicting DCM. Notably, a testing duration of 6 seconds appears to be sufficient for accurate assessment, enhancing the test more feasible and practical without compromising diagnostic performance.

Objective: Hand clumsiness and reduced hand dexterity can signal early signs of degenerative cervical myelopathy (DCM). While the 10-second grip and release (10-s G&R) test is a common clinical tool for evaluating hand function, a more accessible method is warranted. This study explores the use of deep learning-enhanced hand grip and release test (DL-HGRT) for predicting DCM and evaluates its capability to reduce the duration of the 10-s G&R test. Methods: The retrospective study included 508 DCM patients and 1,194 control subjects. Propensity score matching (PSM) was utilized to minimize the confounding effects related to age and sex. Videos of the 10-s G&R test were captured using a smartphone application. The 3D-MobileNetV2 was utilized for analysis, generating a series of parameters. Additionally, receiver operating characteristic curves were employed to assess the performance of the 10-s G&R test in predicting DCM and to evaluate the effectiveness of a shortened testing duration. Results: Patients with DCM exhibited impairments in most 10-s G&R test parameters. Before PSM, the number of cycles achieved the best diagnostic performance (area under the curve [AUC], 0.85; sensitivity, 80.12%; specificity, 74.29% at 20 cycles), followed by average grip time. Following PSM for age and gender, the AUC remained above 0.80. The average grip time achieved the highest AUC of 0.83 after 6 seconds, plateauing with no significant improvement in extending the duration to 10 seconds, indicating that 6 seconds is an adequate timeframe to efficiently evaluate hand motor dysfunction in DCM based on DL-HGRT. Conclusion DL-HGRT demonstrates potential as a promising supplementary tool for predicting DCM. Notably, a testing duration of 6 seconds appears to be sufficient for accurate assessment, enhancing the test more feasible and practical without compromising diagnostic performance.

Objective: Hand clumsiness and reduced hand dexterity can signal early signs of degenerative cervical myelopathy (DCM). While the 10-second grip and release (10-s G&R) test is a common clinical tool for evaluating hand function, a more accessible method is warranted. This study explores the use of deep learning-enhanced hand grip and release test (DL-HGRT) for predicting DCM and evaluates its capability to reduce the duration of the 10-s G&R test. Methods: The retrospective study included 508 DCM patients and 1,194 control subjects. Propensity score matching (PSM) was utilized to minimize the confounding effects related to age and sex. Videos of the 10-s G&R test were captured using a smartphone application. The 3D-MobileNetV2 was utilized for analysis, generating a series of parameters. Additionally, receiver operating characteristic curves were employed to assess the performance of the 10-s G&R test in predicting DCM and to evaluate the effectiveness of a shortened testing duration. Results: Patients with DCM exhibited impairments in most 10-s G&R test parameters. Before PSM, the number of cycles achieved the best diagnostic performance (area under the curve [AUC], 0.85; sensitivity, 80.12%; specificity, 74.29% at 20 cycles), followed by average grip time. Following PSM for age and gender, the AUC remained above 0.80. The average grip time achieved the highest AUC of 0.83 after 6 seconds, plateauing with no significant improvement in extending the duration to 10 seconds, indicating that 6 seconds is an adequate timeframe to efficiently evaluate hand motor dysfunction in DCM based on DL-HGRT. Conclusion DL-HGRT demonstrates potential as a promising supplementary tool for predicting DCM. Notably, a testing duration of 6 seconds appears to be sufficient for accurate assessment, enhancing the test more feasible and practical without compromising diagnostic performance.

Objective To observe the value of quantitative CT(QCT)for predicting the efficacy of medical thoracoscopic giant emphysematous bullae(GEB)volume reduction.Methods Data of chest QCT and pulmonary function tests before and 6 months after medical thoracoscopic volume reduction in 26 chronic obstructive pulmonary disease(COPD)patients complicated with GEB who underwent medical thoracoscopic GEB volume reduction were retrospectively analyzed.According to the improvement rate of lung function(forced expiratory volume in one second[FEV1])6 months after treatment compared with that before treatment,the patients were divided into significant improvement group(FEV1 improvement rate≥15％,n=20)and non-significant improvement group(FEV1 improvement rate＜15％,n=6).QCT parameters before treatment were compared between groups,and the correlations of QCT parameters being significantly different between groups with FEV1 improvement 6 months after treatment were analyzed.Then receiver operating characteristic(ROC)curves were drawn to evaluate the efficacy of the above parameters for predicting the curative effect of medical thoracoscopic volume reduction of GEB.Results Significant differences of preoperative target lung lobe volume,total lung volume and bullae volume were found between groups(all P＜0.05).Preoperative target lung lobe volume,total lung volume,target lobar bullae volume and total lung bullae volume were positively correlated with FEV1 improvement(r/rs=0.600,0.470,0.699,0.523,all P＜0.05),with the area under the curve(AUC)for predicting FEV1 improvement of 0.817,0.817,0.892 and 0.833(all P＜0.05),respectively.Conclusion QCT could effectively predict the efficacy of medical thoracoscopic GEB volume reduction.