The efficacy of Da Chaihu decoction combined with metformin tablets for type 2 diabetes mellitus: A systematic review and meta-analysis.

OBJECTIVE: To assess the efficacy of Da Chaihu decoction combined with metformin tablets on patients with type 2 diabetes compared with metformin alone. METHODS: This systematic review and meta-analysis is written based on 2020 PRISMA Extension for Chinese Herbal Medicines 2020 (PRISMA-CHM 2020) reporting guidelines. We reviewed all the relevant studies from a search of the following databases from inception to February 2022 without any language restriction: Excerpta Medica Database (EMBASE), Google Scholar, PubMed, Cochrane Library, China National Knowledge Infrastructure (CNKI), VIP Information, Wanfang Data, and the Chinese Biomedical Literature Database(CBM). Data were extracted and the quality was independently evaluated by two reviewers, based on the inclusion and exclusion criteria. Data were analyzed using the Cochrane software RevMan 5.3. RESULTS: Six randomized controlled trials comprising 516 participants were included. The meta-analysis revealed the Da Chaihu decoction combined with metformin tablets group was significantly superior to the metformin tablets group in terms of fasting blood glucose(FPG) (-0.66 mmol/L; 95 % CI (confidence intervals) [- 1.28, - 0.04]), plasma glucose 2 h after meal (2-h PG) (-1.18 mmol/L; 95 % CI [-1.94, -0.42]) in six RCTs, body mass index (BMI) (-3.07 mmol/L; 95 % CI [-6.89, 0.75]) in three RCTs, glycosylated hemoglobin (HbAlc) (-0.36 mmol/L; 95 % CI [-1.04, 0.31]) in three RCTs, and triglycerides (TG) (-0.76 mmol/L; 95 % CI [-1.37, -0.15]) in two RCTs. In two RCTs, there were significant differences in terms of total cholesterol (TC) (-0.97 mmol/L; 95 % CI [-1.18, -0.76]). CONCLUSIONS: Very low-quality research shows that Da Chaihu decoction combined with metformin tablets exert a certain level of efficacy on patients with type 2 diabetes compared with metformin alone. However, random sequence generation methodology was reported in five studies leading to the low quality of the included studies. None of the six studies depicted the blinding method, allocation concealment, selective reporting, and assessed the purity and potency of the product. This observation requires verification through high-quality, multi-center, double-blinded randomized controlled trials, and assesses the purity and potency of the product.

Development of an improved diagnostic nomogram for preoperative prediction of small cell neuroendocrine cancer of the cervix.

OBJECTIVES: Accurate preoperative diagnosis of small cell neuroendocrine cancer of the cervix (SCNECC) is crucial for establishing the best treatment plan. This study aimed to develop an improved, non-invasive method for the preoperative diagnosis of SCNECC by integrating clinical, MR morphological, and apparent diffusion coefficient (ADC) information. METHODS: A total of 105 pathologically confirmed cervical cancer patients (35 SCNECC, 70 non-SCNECC) from multiple centres with complete clinical and MR records were included. Whole lesion histogram analysis of the ADC was performed. Multivariate logistic regression analysis was used to develop diagnostic models based on clinical, morphological, and histogram data. The predictive performance in terms of discrimination, calibration, and clinical usefulness of the different models was assessed. A nomogram for preoperatively discriminating SCNECC was developed from the combined model. RESULTS: In preoperative SCNECC diagnosis, the combined model, which had a diagnostic AUC (area under the curve) of 0.937 (95% CI: 0.887-0.987), outperformed the clinical-morphological model, which had an AUC of 0.869 (CI: 0.788-0.949), and the histogram model, which had an AUC of 0.872 (CI: 0.792-0.951). The calibration curve and decision curve analyses suggest that the combined model achieved good fitting and clinical utility. CONCLUSIONS: Non-invasive preoperative diagnosis of SCNECC can be achieved with high accuracy by integrating clinical, MR morphological, and ADC histogram features. The nomogram derived from the combined model can provide an easy-to-use clinical preoperative diagnostic tool for SCNECC. ADVANCES IN KNOWLEDGE: It is clear that the therapeutic strategies for SCNECC are different from those for other pathological types of cervical cancer according to V 1.2021 of the NCCN clinical practice guidelines in oncology for cervical cancer. This research developed an improved, non-invasive method for the preoperative diagnosis of SCNECC by integrating clinical, MR morphological, and apparent diffusion coefficient (ADC) information.

Association of the levels of heavy metals and trace elements during pregnancy with congenital heart defects in offspring: a prospective cohort study. / å­•æœŸé‡é‡‘å±žå ƒç´ å’Œå¾®é‡å ƒç´ æ°´å¹³ä¸Žå­ä»£å ˆå¤©æ€§å¿ƒè„ç— ç›¸å ³æ€§çš„å‰çž»æ€§é˜Ÿåˆ—ç ”ç©¶.

OBJECTIVES: To study the association of the levels of heavy metals and trace elements during pregnancy with congenital heart defects (CHD) in offspring, and to establish a model for predicting the probability of CHD based on the levels of heavy metals and trace elements during pregnancy. METHODS: Based on the prospective birth cohort study in Gansu Provincial Maternal and Child Health Hospital in 2010-2012, a nested case-control study was conducted for the follow-up observation of 14 359 pregnant women. Among the pregnant women, 97 pregnant women whose offspring were diagnosed with CHD during follow-up were enrolled as the CHD group, and 194 pregnant women whose offspring had no CHD were selected as the control group. Inductively coupled plasma mass spectrometry was used to measure the levels of heavy metals and trace elements in maternal blood samples and fetal umbilical cord blood samples. A multivariate logistic regression analysis was used to evaluate the association between heavy metal and trace elements and CHD in offspring. A nomogram model for predicting the probability of CHD in offspring was established based on the levels of heavy metals and trace elements during pregnancy. RESULTS: Compared with the control group, the CHD group had significantly higher levels of aluminum (Al), natrium (Na), calcium (Ca), titanium (Ti), selenium (Se), strontium (Sr), stannum (Sn), stibium (Sb), barium (Ba), and thorium (Th) in maternal blood samples (P<0.05), as well as significantly higher levels of Al, zinc (Zn), magnesium (Mg), kalium (K), Ca, Ti, chromium (Cr), copper (Cu), arsenic (As), Se, Sr, argentum (Ag), cadmium (Cd), Sn, and plumbum (Pb) in umbilical cord blood (P<0.05). The multivariate logistic regression analysis showed that the increase in the Sb level in maternal blood was associated with the increase in the risk of CHD in offspring [adjusted odds ratio (aOR)=4.81, 95% confidence interval (CI): 1.65-14.07, P=0.004], while in umbilical cord blood, the high levels of Al (aOR=4.22, 95%CI: 1.35-13.16, P=0.013), Mg (aOR=8.00, 95%CI: 1.52-42.08, P=0.014), and Pb (aOR=3.82, 95%CI: 0.96-15.23, P=0.049) were significantly associated with the risk of CHD in offspring. The levels of Al, Th, and Sb in maternal blood and levels of Al, Mg, and Pb in umbilical cord blood were included in the predictive model for CHD in offspring based on the levels of heavy metals and trace elements during pregnancy, and the calibration curve of the nomogram predictive model was close to the ideal curve. CONCLUSIONS: Increases in the levels of Al, Th, Sb, Mg, and Pb during pregnancy may indicate the increase in the risk of CHD in offspring, and the nomogram predictive model based on these indices can be used to predict the probability of CHD in offspring.

Efficacy of abdominal ultrasound inspection in the diagnosis and prognosis of neonatal necrotizing enterocolitis.

OBJECTIVE: This study aimed to identify the most useful ultrasound (US) features associated with definite neonatal necrotizing enterocolitis (NEC) and their prognostic values, particularly the calculated markers combined with important features. METHODS: A total of 213 suspected NEC cases were collected from the neonatal department of our hospital from January 2015 to August 2017. Each infant received both X-ray and US examinations. RESULTS: No differences were found in sex composition and delivery modes between groups. NEC-positive neonates had poorer prognosis compared to negative ones. The NEC group showed a higher frequency of abnormal signals. US showed higher NEC-related frequencies in different parameters. A variable (named predictor in US [PUS]) with five features was constructed. For NEC diagnosis, this variable provided a much higher area under the curve Q2 (AUC) (0.965) than other parameters. In this model, PUS had a cutoff value of 0.376 with a 0.900 sensitivity and 0.922 specificity. In prognosis, the closest factors were selected to draw a receiver operating characteristic curve, as well as a novel calculated variable US prognostic (USPro) marker. USPro had a much higher AUC (0.86) than other single features and showed a cutoff value of 0.18145, with 0.75 sensitivity and 0.84 specificity. This variable had a weaker power in prognosis when compared with PUS in diagnosis. CONCLUSIONS: The application of abdominal color Doppler US can provide high accuracy and sensitivity in NEC diagnosis and also contribute to its prognosis, without induction of radiation. Suspected neonates should be examined using this technique as early as possible.

Efficacy of abdominal ultrasound inspection in the diagnosis and prognosis of neonatal necrotizing enterocolitis

OBJECTIVE: This study aimed to identify the most useful ultrasound (US) features associated with definite neonatal necrotizing enterocolitis (NEC) and their prognostic values, particularly the calculated markers combined with important features. METHODS: A total of 213 suspected NEC cases were collected from the neonatal department of our hospital from January 2015 to August 2017. Each infant received both X-ray and US examinations. RESULTS: No differences were found in sex composition and delivery modes between groups. NEC-positive neonates had poorer prognosis compared to negative ones. The NEC group showed a higher frequency of abnormal signals. US showed higher NEC-related frequencies in different parameters. A variable (named predictor in US [PUS]) with five features was constructed. For NEC diagnosis, this variable provided a much higher area under the curve Q2 (AUC) (0.965) than other parameters. In this model, PUS had a cutoff value of 0.376 with a 0.900 sensitivity and 0.922 specificity. In prognosis, the closest factors were selected to draw a receiver operating characteristic curve, as well as a novel calculated variable US prognostic (USPro) marker. USPro had a much higher AUC (0.86) than other single features and showed a cutoff value of 0.18145, with 0.75 sensitivity and 0.84 specificity. This variable had a weaker power in prognosis when compared with PUS in diagnosis. CONCLUSIONS: The application of abdominal color Doppler US can provide high accuracy and sensitivity in NEC diagnosis and also contribute to its prognosis, without induction of radiation. Suspected neonates should be examined using this technique as early as possible.