Correction of congenital auricle deformities with ear mould: A systematic review and meta-analysis.

OBJECTIVE: To assess the effectiveness and safety of ear moulds for congenital auricle deformities. METHODS: Databases including Medline, EMBASE, Cochrane Library, Chinese BioMedical Literature Database (CBM) and Web of Science were systematically reviewed. Randomised controlled trials (RCT), non-randomised control trials (non-RCT), quasi-randomised control trials (quasi-RCT) and self-controlled before-after trials were also included. Data extraction was independently conducted by two authors. The Risk Of Bias In Non-randomised Studies of Interventions (ROBIN-I) was used to evaluate the risk bias. Heterogeneity was assessed using I2 and chi-square tests. Effective rate, adverse reaction rate and their 95%CI were calculated. Funnel plots, Begg's test as well as sensitivity and subgroup analyses were performed. RESULTS: The analysis encompassed ten studies, comprising one RCT and nine self-controlled before-after trials, involving 1860 ears (1248 children). The pooled effective rate and adverse reaction rate of ear mould were 91% (95% CI: 0.87-0.94) and 9% (95%CI: 0.02-0.17), respectively. No serious adverse reactions were reported. The effective rate of ear mould intervention showed no significant difference between age at correction≤42 days group (90%, 95%CI: 0.85-0.94) and that >42 days group (93%, 95%CI: 0.83-0.99). Similarly, there was no statistical difference in the correction efficiency between duration of wearing ear mould≤30 days group (90%, 95%CI: 0.85-0.94) and that >30 days group (92%, 95%CI: 0.86-0.96). The effective rate for correcting cryptotia ear (98%, P < 0.001), cup ear (93%, P = 0.004) and prominent ear (90%, P = 0.014) was higher than that of helical rim deformity (66%). CONCLUSIONS: In the short term, the use of ear moulds is effective and safe in correcting congenital auricle deformities. Notably, the correction efficacy for cryptotia, cup ear and prominent ear deformities surpasses that of helical rim deformities. However, further research is required to ascertain the impact of the duration of wearing on the correction of congenital auricle deformities.

Effect of long-term weight gain on the risk of breast cancer across women's whole adulthood as well as hormone-changed menopause stages: A systematic review and dose-response meta-analysis.

Adult weight gain is a good indicator of excess body fatness for breast cancer risk. However, little is known about the effect of weight gain during other special periods in women's lifetime. A publication search in PubMed and Embase through April 2020 was conducted. A primary meta-analysis comparing the highest and lowest category and a secondary meta-analysis based on dose-response meta-analysis were performed to calculate risk estimates with 95% confidence intervals using a random-effects model. For postmenopausal breast cancer, the relative risk for highest vs. lowest category of adult weight gain and weight gain since menopause were 1.55 and 1.59 (RR = 1.55, 95% CI: 1.40, 1.71; RR = 1.59, 95% CI: 1.23, 2.05). For per 5 kg increase in adult weight gain, the summary RR of postmenopausal breast cancer was 1.08 (RR = 1.08, 95% CI: 1.07, 1.09), which is much stronger in Asian women (RR = 1.34, 95% CI: 1.22, 1.47). There was no significant finding among premenopausal women (RR = 1.00, 95% CI: 0.83, 1.21). Same as adult weight gain, weight gain since menopause might be an equivalent predictor for postmenopausal breast cancer risk. More studies are warranted to confirm the magnitude of this association further.

Learning Transformation-Invariant Local Descriptors With Low-Coupling Binary Codes.

Despite the great success achieved by prevailing binary local descriptors, they are still suffering from two problems: 1) vulnerable to the geometric transformations; 2) lack of an effective treatment to the highly-correlated bits that are generated by directly applying the scheme of image hashing. To tackle both limitations, we propose an unsupervised Transformation-invariant Binary Local Descriptor learning method (TBLD). Specifically, the transformation invariance of binary local descriptors is ensured by projecting the original patches and their transformed counterparts into an identical high-dimensional feature space and an identical low-dimensional descriptor space simultaneously. Meanwhile, it enforces the dissimilar image patches to have distinctive binary local descriptors. Moreover, to reduce high correlations between bits, we propose a bottom-up learning strategy, termed Adversarial Constraint Module, where low-coupling binary codes are introduced externally to guide the learning of binary local descriptors. With the aid of the Wasserstein loss, the framework is optimized to encourage the distribution of the generated binary local descriptors to mimic that of the introduced low-coupling binary codes, eventually making the former more low-coupling. Experimental results on three benchmark datasets well demonstrate the superiority of the proposed method over the state-of-the-art methods. The project page is available at https://github.com/yoqim/TBLD.

Obesity-related proteins score as a potential marker of breast cancer risk.

There is strong evidence to suggest that obesity-related proteins play a key role in pathways that are related to breast cancer. In this study, we aimed to establish a robust obesity-related protein score (ORPS) that could be used to assess breast cancer risk. Based on evidence from high-quality systematic reviews and population studies, we selected nine such proteins that are stable in vitro, and measured their circulating concentrations by ELISA in a case-control study conducted in Chengdu, Sichuan, China, with 279 breast cancer cases and 260 healthy controls. Two obesity-related protein scores (ORPS) were calculated using a three-step method, with linear-weighted summation, and the one with a larger area under the curve was chosen for further evaluation. As a result, ORPS (PS5pre or PS4post) was positively correlated with breast cancer risk (premenopausal: OR≤63 VS >63 3.696, 95% CI 2.025-6.747; postmenopausal: OR≤38 VS >38 7.100, 95% CI 3.134-16.084), and represented a better risk predictor among obese women compared to non-obese in pre- and postmenopausal women. Among different molecular subtypes, ORPS was positively correlated with Luminal breast cancer, with additionally positive association with triple-negative breast cancer in premenopausal women. The ORPS might be a potential marker of breast cancer risk among Chinese women.

A network meta-analysis of secondary attack rates of COVID-19 in different contact environments.

As the corona virus disease 2019 (COVID-19) pandemic continues around the world, understanding the transmission characteristics of COVID-19 is vital for prevention and control. We conducted the first study aiming to estimate and compare the relative risk of secondary attack rates (SARs) of COVID-19 in different contact environments. Until 26 July 2021, epidemiological studies and cluster epidemic reports of COVID-19 were retrieved from SCI, Embase, PubMed, CNKI, Wanfang and CBM in English and Chinese, respectively. Relative risks (RRs) were estimated in pairwise comparisons of SARs between different contact environments using the frequentist NMA framework, and the ranking of risks in these environments was calculated using the surface under the cumulative ranking curve (SUCRA). Subgroup analysis was performed by regions. Thirty-two studies with 68 260 participants were identified. Compared with meal or gathering, transportation (RR 10.55, 95% confidence interval (CI) 1.43-77.85), medical care (RR 11.68, 95% CI 1.58-86.61) and work or study places (RR 10.15, 95% CI 1.40-73.38) had lower risk ratios for SARs. Overall, the SUCRA rankings from the highest to the lowest were household (95.3%), meal or gathering (81.4%), public places (58.9%), daily conversation (50.1%), transportation (30.8%), medical care (18.2%) and work or study places (15.3%). Household SARs were significantly higher than other environments in the subgroup of mainland China and sensitive analysis without small sample studies (<100). In light of the risks, stratified personal protection and public health measures need to be in place accordingly, so as close contacts categorising and management.

Ear mold for congenital ear malformation: A randomized controlled trial.

BACKGROUND: Congenital auricular deformities (CAD) are prevalent worldwide. The objective of this study is to investigate the effectiveness and safety of ear molding for children with CAD at their early days. METHODS: One hundred and nighty children (under 3 days) with CAD will be included in the study. Participants will be randomly allocated to treatment or waiting list group (n = 95). The treatment group will receive ear molding within 3 days after birth for 2 weeks. The control group will receive usual care and receive the same ear molding at 6th week if spontaneously recover is not occur. Physician and parent assessment of improvement, parent's anxiety, depression, and quality of life and adverse events will be measured at baseline, 3rd and 6th week of initial treatment. The primary outcome recovery rate will be compared between groups using Chi square test. Secondary continuous outcomes will be compared using analysis of variance. DISCUSSION: This study is the first randomized controlled trial to examine the effectiveness, safety and cost-effectiveness of ear molding for CAD comparing with waiting list, to inform clinical decision of CAD treatments and relevant guideline development.