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ObjectiveTo evaluate the efficacy and safety of acupuncture in treating symptoms for Cancer-related Insomnia(CRI) patients.MethodsSeven databases were searched from the time of database establishment to 31 March 2022. Randomized Controlled Trials (RCTs) on acupuncture intervention for CRI were collected. Literature screening and data extraction were performed independently by two researchers. Meta-analysis was performed using RevMan 5.4 software.ResultsA total of 13 articles with 1,109 participants were included. Five hundred and seventeen in the treatment group and 592 in the control group. Ten of the RCTs used the PSQI rating scale and four randomized controlled trials used the ISI rating scale, and the PSQI and ISI were analyzed together as continuous data. The results of the meta-analysis were: MD = −1.83, 95%CI = [−2.71, −0.94], P < 0.0001, indicating a significant improvement in PSQI scores in patients with CRI by acupuncture intervention; MD = 0.79, 95%CI = [−0.46, 2.03], P = 0.22. Acupuncture was not statistically significant on ISI scores for patients with CRI compared to controls, which does not yet indicate that acupuncture is effective for symptoms in patients with CRI. The results of the meta-analysis of the other 4 items using sleep disorder logs as efficacy analysis data were as follow, relative risk RR = 0.47, 95%CI = [0.33, 0.66], P < 0.0001. The difference was statistically significant, indicating that acupuncture can improve the symptoms of CRI patients compared to control group.ConclusionAcupuncture can improve the symptoms of patients with CRI to some extent, but due to the relatively small number and low quality of the included literature in this study, more high-quality clinical trials are needed as supplement the evidences in future.Systematic review registrationhttps://www.crd.york.ac.uk/prospero/.

Importance-performance analysis (IPA) is widely used for needs analysis, product positioning, and strategic planning in product design. Previous research on IPA often employs single-source data such as customer surveys or online reviews with unavoidable subjective bias. In contrast, product maintenance records provide objective information on product quality and failure patterns, which can be cross-validated with customers’ personal experiences from surveys or online reviews. In this paper, we propose an integrated framework for conducting IPA from online reviews and product maintenance records jointly. An attribute-keyword dictionary is first established using keyword extraction and clustering methods. Then, semantic groups, including product attributes and associated descriptions, are extracted using dependency parsing analysis. The sentiment scores of identified product attributes are determined by a voting mechanism using two pre-trained sentiment analysis models. The importance of product attributes in IPA is estimated from the impact of sentiments of each product attribute on product ratings with the extreme gradient boosting (XGBoost) model, while the performance is estimated from the sentiment scores of online reviews or the quality statistics from product maintenance records. In addition, we propose two methods to validate the IPA results, in which the IPA results are compared with the actual product improvements on the market or compared with the analysis of customer reviews from different time periods, respectively. The validated IPA results from online reviews and maintenance records are then integrated to obtain a more comprehensive understanding of customer needs. A case study of passenger vehicles is used to demonstrate the framework. The proposed framework enables automatic data processing and can support companies in making efficient design decisions with more comprehensive perspectives from multisource data.

The impact of calcification in patients with breast carcinoma treated with breast‑conserving surgery (BCS) is unclear. The present study aimed to determine the outcome of breast cancer patients with calcification treated with BCS. The records of 409 patients with breast carcinoma treated with BCS from January 2005 to December 2008 were reviewed. Patients were categorized as those with calcification (on mammography or ultrasonography), or those without calcification (neither on mammography nor ultrasonography). The local relapse free survival time (LRFS), disease free survival time (DFS) and overall survival time (OS) were compared, and subgroup analysis was performed based on morphological types and distribution patterns of mammographic calcification. Survival analysis demonstrated that patients with calcification had a significantly increased risk of local recurrence, distant metastasis and mortality compared with those without calcification [relative risk (RR) and 95% confidence interval (CI): local recurrence, 2.46 and 1.11‑5.44; distant metastasis, 2.24 and 1.19‑4.24; mortality, 2.50 and 1.06‑5.86]. Subgroup analysis revealed that the distribution patterns (rather than morphological types of calcification) accounted for the increased risk of recurrence following BCS. Patients with mammographic calcification of liner/segmental distribution had significantly decreased LRFS (RR=6.20; 95% CI, 2.26‑16.98), DFS (RR=6.81; 95% CI, 2.86‑16.20) and OS (RR=9.14; 95% CI, 2.53‑33.00), while patients with mammographic calcification of clustered distribution did not have significantly decreased LRFS, DFS and OS (P>0.05), compared with those without calcification. In addition, the mammographic calcification spreading along the ducts was more likely to be accompanied by an extensive intraductal component (P<0.001). Finally, the outcome of patients with calcification on breast ultrasound was as good as those without calcification. Patients with mammographic calcification, particularly those with calcification spreading along the ducts, have a higher risk of recurrence following BCS, which has a negative impact on long‑term survival. Calcification identified on breast ultrasonography does not affect the survival of patients treated with BCS. [ABSTRACT FROM AUTHOR]