Publications by authors named "Yan-mei Wang"

Background And Aims: Increasing interest in hypnotherapy's application for a wide range of health conditions has spurred a rise in global research and publications. This study aims to visualize development patterns and current research hotspots in clinical hypnotherapy practice using scientometric methods, and to predict future research directions based on the keyword trending topics analysis.

Methods: Data on hypnotherapy applications and mechanisms in clinical settings between 1994 and 2023 were gathered from Scopus, Web of Science, and PubMed, followed by analysis and visualization using the VOSviewer, package in , and CiteSpace.

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  • Radiomics is used to differentiate between benign and malignant vertebral compression fractures (VCFs) in patients with malignant tumors, highlighting its clinical importance.
  • The study involved 78 patients with VCFs, analyzing 140 lesions through machine learning models built from CT radiomics features to improve diagnostic accuracy.
  • The support vector machine (SVM) model outperformed others with high diagnostic efficiency, achieving an area under the curve (AUC) of 0.911 in the validation set, indicating its effectiveness in distinguishing between benign and malignant VCFs.
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To explore the risk factors of early postoperative taste disturbance (EPTD) after type I endoscopic tympanoplasty and operative modification strategies to improve taste disturbance. This was a controlled study. One hundred and twenty-four patients who underwent type I endoscopic tympanoplasty with tragal cartilage graft were separated evenly into control and modified groups.

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Background: Acupuncture is popular in the treatment of mental illness. This study determined its feasibility and role in managing postpartum depression (PPD) using a network meta-analysis.

Methods: We systematically searched seven databases up to May 2024 for randomized controlled trials (RCTs) appraising acupuncture's efficacy and safety against waitlist-control, placebo, standard control, or as an add-on treatment.

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Background: Research has demonstrated that radiomics models are capable of forecasting the characteristics of lung cancer. Nevertheless, due to radiomics' poor interpretability, its applicability in clinical settings remains restricted. This investigation sought to verify the correlation between radiomics features (RFs) and the biological behavior of clinical stage IA adenocarcinomas.

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  • Lung abscesses in young kids are pretty rare and can be caused by different germs, with one common type being anaerobes.
  • A 2-year-old boy had a bad cough and fever, and tests showed he had a lung abscess, but doctors had trouble figuring out what caused it at first.
  • After special testing of his lung fluid, they found out a specific germ was the problem, and after getting medicine, the boy got better and the abscess went away.
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Background: The use of machine learning(ML) methods would improve the diagnosis of small airway dysfunction(SAD) in subjects with chronic respiratory symptoms and preserved pulmonary function(PPF). This paper evaluated the performance of several ML algorithms associated with the impulse oscillometry(IOS) analysis to aid in the diagnostic of respiratory changes in SAD. We also find out the best configuration for this task.

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Purpose: To evaluate the effet of one-time one-abutment placement on peri-implant tissues.

Methods: Thirty-five patients with single posterior loss were collected, who received definitive abutment at the moment of implant placement. One day and after 1 year of implant loading, radiographic assessment of marginal bone level changes and clinical status of peri-implant soft tissues were conducted.

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Background: Growing demand exists for high-quality Traditional Chinese Medicine (TCM) care, particularly through Nurse-led TCM clinics (TCM-NLCs). Nurses with extensive experience in TCM departments represent a potential workforce for this healthcare model. This qualitative study aims to investigate the willingness of these candidates to engage in TCM-NLCs, with a specific focus on their main concerns and apprehensions when facing new challenges.

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Background: Accurate prediction of occult lymph node metastasis (ONM) is an important basis for determining whether lymph node (LN) dissection is necessary in clinical stage IA lung adenocarcinoma patients. The aim of this study is to determine the best machine learning algorithm for radiomics modeling and to compare the performances of the radiomics model, the clinical-radilogical model and the combined model incorporate both radiomics features and clinical-radilogical features in preoperatively predicting ONM in clinical stage IA lung adenocarcinoma patients.

Methods: Patients with clinical stage IA lung adenocarcinoma undergoing curative surgery from one institution were retrospectively recruited and assigned to training and test cohorts.

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The purpose of this study was to evaluate the safety, pharmacokinetics (PK), and pharmacodynamics (PD) of frunexian (formerly known as EP-7041 and HSK36273) injection, a small molecule inhibitor of activated coagulation factor XI (FXIa), in healthy Chinese adult volunteers. This study was a randomized, placebo- and positive-controlled, sequential, ascending-dose (0.3/0.

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Objectives: Patients with epidermal growth factor receptor (EGFR) mutations in lung adenocarcinoma (LUAD) can benefit from individualized targeted therapy. This study aims to develop, compare, analyse prediction models based on dual-energy spectral computed tomography (DESCT) and CT-based radiomic features to non-invasively predict EGFR mutation status in LUAD.

Materials And Methods: Patients with LUAD (n = 175), including 111 patients with and 64 patients without EGFR mutations, were enrolled in the current study.

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Primary insomnia (PI) is an increasing concern in modern society. Cognitive-behavioral therapy for insomnia is the first-line recommendation, yet limited availability and cost impede its widespread use. While hypnotics are frequently used, balancing their benefits against the risk of adverse events poses challenges.

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  • - The systematic review analyzed clinical practice guidelines (CPGs) regarding complementary and alternative medicine (CAM) used for anxiety management, finding that ten guidelines had reporting rates between 51.4% and 88.6%.
  • - Out of the ten CPGs, seven had moderate to high methodological quality and recommended 17 different CAM modalities, with applied relaxation being the most supported for generalized anxiety disorder.
  • - The review highlighted significant gaps in CAM recommendations for specific anxiety disorders and emphasized the need for high-quality evidence and broader interdisciplinary collaboration in guideline development.
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  • Complementary and Alternative Medicine (CAM) is becoming a popular research topic for treating depression, with a focus on therapies like acupuncture and body-mind techniques (yoga, meditation).
  • From 1993 to 2022, there was a significant increase in publications on CAM for depression, with 1,710 papers identified; the USA led in research output.
  • Future research should explore the mechanisms of CAM treatments in reducing depression, particularly in relation to psychological stress and inflammation, and promote international collaboration among researchers.
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  • * This study focused on sequencing the complete mitogenomes of two similar species, revealing sizes of 19,395 bp and 17,833 bp, both containing 37 genes including protein-coding and RNA genes.
  • * The analysis showed that the two species share a close phylogenetic relationship and provide important data for understanding their classification within the genus.
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Neurological diseases are one of the most pressing issues in modern times worldwide. It thus possesses explicit attention from researchers and medical health providers to guard public health against such an expanding threat. Various treatment modalities have been developed in a remarkably short time but, unfortunately, have yet to lead to the wished-for efficacy or the sought-after clinical improvement.

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Background: There is a need for evidence-informed guidance on the use of complementary and alternative medicine (CAM) for insomnia because of its widespread utilization and a lack of guidance on the balance of benefits and harms. This systematic review aimed to identify and summarize the CAM recommendations associated with insomnia treatment and care from existing comprehensive clinical practice guidelines (CPGs). The quality of the eligible guidelines was appraised to assess the credibility of these recommendations.

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  • * The study included 406 male outpatients and utilized various assessments to analyze the relationships between FARP, ED, depression, and anxiety, confirming a strong link between these conditions.
  • * Key risk factors for FARP identified in the study include alcohol intake, poor family relationships, high work stress, and prolonged bowel movements, which contribute to the severity of these symptoms.
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This study explored toxicity attenuation processing technology of Rhizoma Dioscoreae Bulbiferae stir-fried with Paeoniae Radix Alba decoction for the first time, and further explored its detoxification mechanism. Nine processed products of Rhizoma Dioscoreae Bulbiferae stir-fried with Paeoniae Radix Alba decoction were prepared by orthogonal experiment with three factors and three levels. Based on the decrease in the content of the main hepatotoxic component diosbulbin B before and after processing of Rhizoma Dioscoreae Bulbiferae by high-performance liquid chromatography, the toxicity attenuation technology was preliminarily screened out.

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Objectives: To summarize the clinical features of neonates infected with Omicron variant of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).

Methods: The medical data of 23 neonates with Omicron variant of SARS-CoV-2 infection admitted to the City North Campus of Urumqi First People's Hospital from October to December 2022 were retrospectively reviewed.

Results: All 23 infants had a history of exposure to confirmed caregivers with SARS-CoV-2 infection after birth, and none of them was vertically transmitted.

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The cochlea hair cells transform mechanic sounds to neural signals with a remarkable sensitivity and resolution. This is achieved via the precisely sculpted mechanotransduction apparatus of the hair cells and the supporting structure of the cochlea. The shaping of the mechanotransduction apparatus, the staircased stereocilia bundles on the apical surface of the hair cells, requires an intricate regulatory network including planar cell polarity (PCP) and primary cilia genes in orienting stereocilia bundles and building molecular machinery of the apical protrusions.

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Objectives: To construct effective prediction models for neoadjuvant radiotherapy (RT) and targeted therapy based on whole-tumor texture analysis of multisequence MRI for soft tissue sarcoma (STS) patients.

Methods: Thirty patients with STS of the extremities or trunk from a prospective phase II trial were enrolled for this analysis. All patients underwent pre- and post-neoadjuvant RT MRI examinations from which whole-tumor texture features were extracted, including T-weighted with fat saturation and contrast enhancement (TFSGd), T-weighted with fat saturation (TFS), and diffusion-weighted imaging (DWI) sequences and their corresponding apparent diffusion coefficient (ADC) maps.

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Objectives: To investigate the predictive ability of radiomics signature to predict the prognosis of early-stage primary lung adenocarcinoma (≤3 cm) with no lymph node metastasis (pathological stage I).

Materials And Methods: This study included consecutive patients with lung adenocarcinoma (≤3 cm) with no lymph node metastasis (pathological stage I) and divided them into two groups: good prognosis group and poor prognosis group. The association between the radiomics signature and prognosis was explored.

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