bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparison of Two-Dimensional Transvaginal Ultrasound, Three-Dimensional Transvaginal Ultrasound and Hysteroscopy to Diagnose in Patients With Abnormal Uterine Bleeding: A Retrospective Observational Study
Authors: Kutlucan Hazal , Işık Gizem , Cevher Akdulum Münire Funda , Demirdağ Erhan , Erdem Özlem , Bozkurt Nuray 
Published: December 2022

Objective: The principal objective was to compare the diagnostic accuracy of two-dimensional transvaginal ultrasonography (2D TVUS), three-dimensional transvaginal ultrasonography (3D TVUS), and hysteroscopy with histopathology in patients with abnormal uterine bleeding. Materials and Methods: Fifty patients were included and underwent the three imaging methods. The negative predictive value, positive predictive value, sensitivity, and specificity of the methods were calculated. Determination of endometrial pathology and endometrial polyps by measuring the endometrial thickness, volume, and uterine area was examined. Results: The complaint of menorrhagia was reported by 72.0% of participants. Histopathologically, 70.0% of the patients had endometrial polyps and leiomyoma being monitored. An endometrial polyp was detected in 58.0% of the patients by 2D TVUS, 80.0% by 3D TVUS, and 68.0% by hysteroscopy. While 2D TVUS demonstrated 65.71% accuracy in the detection of an endometrial polyp, 3D TVUS had an 80.0% accuracy, and hysteroscopy had a 77.77% accuracy. An endometrial polyp was detected when the uterine area was ≥237 mm2. If the endometrial thickness was over 10.5 mm, it was found to be related to an endometrial polyp. According to the volume measurements by 3D TVUS, the detection of an endometrial polyp was made with 96.4% sensitivity, provided that the pathology volume was ≥0.082 cm3. Conclusion: In this cohort of patients, 3D TVUS achieved a high sensitivity to detect abnormalities and could be considered as an initial diagnostic modality, prior to the surgery, and may rival invasive procedures, such as hysteroscopy.
Lisocabtagene maraleucel as second-line therapy for large B-cell lymphoma: primary analysis of the phase 3 TRANSFORM study
Authors: Abramson Jeremy S. , Solomon Scott R. , Arnason Jon , Johnston Patrick B. , Glass Bertram , Bachanova Veronika , Ibrahimi Sami , Mielke Stephan , Mutsaers Pim , Hernandez-Ilizaliturri Francisco , Izutsu Koji , Morschhauser Franck , Lunning Matthew , Crotta Alessandro , Montheard Sandrine , Previtali Alessandro , Ogasawara Ken , Kamdar Manali 
Published: December 2022

Abstract
This global phase 3 study compared lisocabtagene maraleucel (liso-cel) with a standard of care (SOC) as second-line therapy for primary refractory or early relapsed (≤12 months) large B-cell lymphoma (LBCL). Adults eligible for autologous stem cell transplantation (ASCT; N = 184) were randomly assigned in a 1:1 ratio to liso-cel (100 × 106 chimeric antigen receptor–positive T cells) or SOC (3 cycles of platinum-based immunochemotherapy followed by high-dose chemotherapy and ASCT in responders). The primary end point was event-free survival (EFS). In this primary analysis with a 17.5-month median follow-up, median EFS was not reached (NR) for liso-cel vs 2.4 months for SOC. Complete response (CR) rate was 74% for liso-cel vs 43% for SOC (P &lt; .0001) and median progression-free survival (PFS) was NR for liso-cel vs 6.2 months for SOC (hazard ratio [HR] = 0.400; P &lt; .0001). Median overall survival (OS) was NR for liso-cel vs 29.9 months for SOC (HR = 0.724; P = .0987). When adjusted for crossover from SOC to liso-cel, 18-month OS rates were 73% for liso-cel and 54% for SOC (HR = 0.415). Grade 3 cytokine release syndrome and neurological events occurred in 1% and 4% of patients in the liso-cel arm, respectively (no grade 4 or 5 events). These data show significant improvements in EFS, CR rate, and PFS for liso-cel compared with SOC and support liso-cel as a preferred second-line treatment compared with SOC in patients with primary refractory or early relapsed LBCL. This trial was registered at www.clinicaltrials.gov as #NCT03575351.
Sensitivity and complications of thoracentesis and thoracoscopy: a meta-analysis
Authors: Martinez-Zayas Gabriela , Molina Sofia , Ost David E. 
Published: December 2022

BackgroundThoracentesis and thoracoscopy are used to diagnose malignant pleural effusions (MPE). Data on how sensitivity varies with tumour type is limited.MethodsSystematic review using PubMed was performed through August 2020 to determine the sensitivity of thoracentesis and thoracoscopy for MPE secondary to malignancy, by cancer type, and complication rates. Tests to identify sources of heterogeneity were performed. Study quality was assessed using Quality Assessment of Diagnostic Accuracy Studies (QUADAS)-2 and National Institutes of Health quality assessment tools. Publication bias was tested using funnel plots.ResultsMeta-analyses for sensitivity of thoracentesis for MPE secondary to malignancy, mesothelioma and lung and breast cancer included 29, eight, 12 and nine studies, respectively. Pooled sensitivities were 0.643 (95% CI 0.592–0.692), 0.451 (95% CI 0.249–0.661), 0.738 (95% CI 0.659–0.836) and 0.820 (95% CI 0.700–0.917), respectively. For sensitivity of thoracoscopy for MPE secondary to malignancy and mesothelioma, 41 and 15 studies were included, respectively. Pooled sensitivities were 0.929 (95% CI 0.905–0.95) and 0.915 (95% CI 0.871–0.952), respectively. Pooled complication rates of thoracentesis and thoracoscopy were 0.041 (95% CI 0.025–0.051) and 0.040 (95% CI 0.029–0.052), respectively. Heterogeneity was significant for all meta-analyses. Funnel plots were asymmetric.InterpretationSensitivity of thoracentesis varied significantly per cancer type. Pooled complication rates were low. Awareness of how sensitivity of thoracentesis changes across cancers can improve decision-making when MPE is suspected.
The emerging role of pyroptosis-related inflammasome pathway in atherosclerosis
Authors: Xu Xiao-Dan , Chen Jia-Xian , Zhu Lin , Xu Shu-Ting , Jiang Jian , Ren Kun 
Published: December 2022

AbstractAtherosclerosis (AS), a chronic sterile inflammatory disorder, is one of the leading causes of mortality worldwide. The dysfunction and unnatural death of plaque cells, including vascular endothelial cells (VEC), macrophages, and vascular smooth muscle cells (VSMC), are crucial factors in the progression of AS. Pyroptosis was described as a form of cell death at least two decades ago. It is featured by plasma membrane swelling and rupture, cell lysis, and consequent robust release of cytosolic contents and pro-inflammatory mediators, including interleukin-1β (IL-1β), IL-18, and high mobility group box 1 (HMGB1). Pyroptosis of plaque cells is commonly observed in the initiation and development of AS, and the levels of pyroptosis-related proteins are positively correlated with plaque instability, indicating the crucial contribution of pyroptosis to atherogenesis. Furthermore, studies have also identified some candidate anti-atherogenic agents targeting plaque cell pyroptosis. Herein, we summarize the research progress in understating (1) the discovery and definition of pyroptosis; (2) the characterization and molecular mechanisms of pyroptosis; (3) the regulatory mechanisms of pyroptosis in VEC, macrophage, and VSMC, as well as their potential role in AS progression, aimed at providing therapeutic targets for the prevention and treatment of AS.
Elevated circulating levels of gasdermin D are related to acute myocardial infarction and pyrogptosis
Authors: Weng Yawen , Ye Bozhi , Lin Jiahui , Lin Shuang , Zhong Lingfeng , Huang Weijian , Cai Xueli , Wang Weiqi 
Published: December 2022

Abstract
Background
Acute myocardial infarction (AMI) is one of the leading contributors to morbidity and mortality worldwide, with a prevalence of nearly three million people, and more than one million deaths reported in the United States every year. Gasdermin D (GSDMD) is involved in the development of atherosclerosis as a key protein of proptosis. This study was designed to determine the potential relationship of GSDMD with AMI in Chinese patients.

Methods
One hundred patients with AMI and 50 controls were consecutively enrolled in this prospective observational study. GSDMD expression levels and other clinical variables in peripheral blood mononuclear cells (PBMCs) were measured upon admission to the hospital. All patients were followed up for 360 days, and the endpoint was considered the occurrence of major adverse cardiovascular events (MACE).

Results
GSDMD expression levels in the PBMCs of patients with AMI were significantly higher than those in the controls. Moreover, our analysis showed that GSDMD was an independent biomarker of AMI and had a promising diagnostic ability for it. Finally, the results suggested that high expression of GSDMD and diabetes increased the risk of MACE after AMI.

Conclusions
This study indicated that the GSDMD expression level in PBMCs was elevated in AMI patients and was closely associated with the pyroptosis of AMI.
Double contrast-enhanced ultrasound for the preoperative gross classification of gastric cancer: a comparison with multidetector computed tomography
Authors: He Ping , Zeng Lan , Miao Liying , Wang Tianli , Ye Juxiang , Meng Lingmei , Xue Heng , Zhang Fan , Zhao Bo , Ge Huiyu 
Published: December 2022

Abstract
Purpose
To compare the diagnostic performance of double contrast-enhanced ultrasound (DCEUS) and multi-detector row computed tomography (MDCT) in the gross classification of gastric cancer (GC) preoperatively.

Methods
54 patients with histology proved GC were included in this retrospective study. The sensitivity and specificity of DCEUS and MDCT for the gross classification of GC was calculated and compared. The area under the curve (AUC) from a receiver operating characteristic curve analysis was used to evaluate the difference of the diagnostic performance between these two methods.

Results
There were no significant differences between DCEUS and MDCT in terms of AUC for early gastric cancer (EGC), Borrmann I, II, III and Borrmann (III + IV) (P = 0.248, 0.317, 0.717, 0.464 and 0.594, respectively). The accuracy of DCEUS in diagnosing EGC, Borrmann I, II and Borrmann (III + IV) was higher than that of MDCT (96% vs 92%; 96% vs 94%; 87% vs 80%; 83% vs 73%), while in determining Borrmann III and IV, that of DCEUS was lower than that of MDCT (72% vs 74%; 89% vs 96%).

Conclusion
Considering the revolution in clinical decision, prognosis evaluation, safety and non-invasion aspects, DCEUS can be used as the main alternative method for Borrmann classification of GC preoperatively.
Congenital syphilis as the cause of multiple bone fractures in a young infant case report
Authors: Koliou Maria , Chatzicharalampous Elpida , Charalambous Myria , Aristeidou Kyriakos 
Published: December 2022

AbstractBackgroundThe differential diagnosis of multiple unexplained bone fractures in a young infant usually includes child abuse or bone disease such as osteogenesis imperfecta. Bone abnormalities can occur in 60–80% of cases with congenital syphilis and may be the sole manifestation. However, this frequent manifestation of this rare disease such as congenital syphilis is frequently disregarded. We describe a case of a young infant with multiple long bone fractures diagnosed with congenital syphilis.Case presentationThis 2-month-old male patient was referred to our hospital because of fractures of the ulna and distal radius bilaterally and noisy breathing with the suspicion of osteogenesis imperfecta. After thorough examination, the infant had anemia and a palpable spleen. We performed a screen for congenital infections among other investigations, which revealed positive non-treponemal and treponemal antibodies for syphilis. Hence the diagnosis for Congenital Syphilis was made.We performed a lumbar puncture (LP) which showed mild pleocytosis. The patient was treated with intravenous aqueous penicillin G 200 000 UI/KG per day for 10 days. In addition, a single dose of intramuscular penicillin G benzathine 50 000 UI/KG was given due to the abnormal result of CSF.On follow up admission 6 months later, the new syphilis serology had much improved and the new LP revealed no abnormal findings.ConclusionsWe present this case report in order to remind of a common manifestation of congenital syphilis, a rare disease which needs to be included in the differential diagnosis of multiple unexplained fractures in early infancy. In our case the fractures were symmetric and bilateral and they were accompanied by anemia and mild hepatosplenomegaly which led to the investigation of congenital syphilis as a possible cause. However, two thirds of infants with congenital syphilis are asymptomatic at birth. All women should have a proper syphilis screening during pregnancy.
A hybrid machine learning model of depression estimation in home-based older adults: a 7-year follow-up study
Authors: Lin Shaowu , Wu Yafei , Fang Ya 
Published: December 2022

Abstract
Background
Our aim was to explore whether a two-step hybrid machine learning model has the potential to discover the onset of depression in home-based older adults.

Methods
Depression data (collected in the year 2011, 2013, 2015 and 2018) of home-based older Chinese (n = 2,548) recruited in the China Health and Retirement Longitudinal Study were included in the current analysis. The long short-term memory network (LSTM) was applied to identify the risk factors of participants in 2015 utilizing the first 2 waves of data. Based on the identified predictors, three ML classification algorithms (i.e., gradient boosting decision tree, support vector machine and random forest) were evaluated with a 10-fold cross-validation procedure and a metric of the area under the receiver operating characteristic curve (AUROC) to estimate the depressive outcome.

Results
Time-varying predictors of the depression were successfully identified by LSTM (mean squared error =0.8). The mean AUCs of the three predictive models had a range from 0.703 to 0.749. Among the prediction variables, self-reported health status, cognition, sleep time, self-reported memory and ADL (activities of daily living) disorder were the top five important variables.

Conclusions
A two-step hybrid model based on “LSTM+ML” framework can be robust in predicting depression over a 5-year period with easily accessible sociodemographic and health information.
A prospective observational study for a Federated Artificial Intelligence solution for moniToring mental Health status after cancer treatment (FAITH): study protocol
Authors: Lemos Raquel , Areias-Marques Sofia , Ferreira Pedro , O’Brien Philip , Beltrán-Jaunsarás María Eugenia , Ribeiro Gabriela , Martín Miguel , del Monte-Millán María , López-Tarruella Sara , Massarrah Tatiana , Luís-Ferreira Fernando , Frau Giuseppe , Venios Stefanos , McManus Gary , Oliveira-Maia Albino J. 
Published: December 2022

Abstract
Background
Depression is a common condition among cancer patients, across several points in the disease trajectory. Although presenting higher prevalence rates than the general population, it is often not reported or remains unnoticed. Moreover, somatic symptoms of depression are common in the oncological context and should not be dismissed as a general symptom of cancer. It becomes even more challenging to track psychological distress in the period after the treatment, where connection with the healthcare system typically becomes sporadic. The main goal of the FAITH project is to remotely identify and predict depressive symptoms in cancer survivors, based on a federated machine learning (ML) approach, towards optimization of privacy.

Methods
FAITH will remotely analyse depression markers, predicting their negative trends. These markers will be treated in distinct categories, namely nutrition, sleep, activity and voice, assessed in part through wearable technologies. The study will include 300 patients who have had a previous diagnosis of breast or lung cancer and will be recruited 1 to 5 years after the end of primary cancer. The study will be organized as a 12-month longitudinal prospective observational cohort study, with monthly assessments to evaluate depression symptoms and quality of life among cancer survivors. The primary endpoint is the severity of depressive symptoms as measured by the Hamilton Depression Rating Scale (Ham-D) at months 3, 6, 9 and 12. Secondary outcomes include self-reported anxiety and depression symptoms (HADS scale), and perceived quality of life (EORTC questionnaires), at baseline and monthly. Based on the predictive models gathered during the study, FAITH will also aim at further developing a conceptual federated learning framework, enabling to build machine learning models for the prediction and monitoring of depression without direct access to user’s personal data.

Discussion
Improvements in the objectivity of psychiatric assessment are necessary. Wearable technologies can provide potential indicators of depression and anxiety and be used for biofeedback. If the FAITH application is effective, it will provide healthcare systems with a novel and innovative method to screen depressive symptoms in oncological settings.

Trial registration
Trial ID: ISRCTN10423782. Date registered: 21/03/2022.
Status and clinical influencing factors of involuntary admission in chinese patients with schizophrenia
Authors: Ma Hua-Jian , Zheng Yu-Chen , Shao Yang , Xie Bin 
Published: December 2022

Abstract
Background
Though controversial for its various disadvantages, involuntary admission (IA) is necessary in providing mental health care for patients suffering from schizophrenia in China. This article examines the IA rate in a representative sample, and under which circumstances are these patients more likely to be admitted involuntarily.

Methods
Adult patients consecutively admitted to two typical hospitals in Shanghai between 2013 and 2014 with a diagnosis of ICD-10 schizophrenia were included. 2167 patients were included in this study. Sociodemographic and clinical data, as well as personal information of psychiatrists who made risk assessment, were collected. The whole sample was divided into voluntary and involuntary admission groups. Group comparisons were performed with SPSS 17.0, using one-way ANOVA, Wilcoxon rank sum test, Chi-squares and Logistic regression.

Results
Among 2167 inpatients, the majority (2003, 92.4%) were involuntarily admitted. Clinical features, including age of patients (p < 0.001, OR = 1.037), lacking of insight (p < 0.001, OR = 3.691), were statistically significant for IA. Psychiatrist’s age (p < 0.001, OR = 1.042) was independently associated with IA. However, risk behaviors had dramatically affected patients’ admission status, of which the strongest predictor of IA was noncompliance with treatment (p < 0.001, OR = 3.597). The areas under the curve of the ROC and accuracy for the regression model were 0.815 and 0.927, respectively.

Conclusion
IA patients account for a major proportion of all those hospitalized with schizophrenia in China. Insights and risk behaviors contributed the most reasons for admission status of patients. This research shed light on necessity of further qualitative studies learning detailed evaluation processes of IA and high-quality interventional studies aiming to limit the performance of IA among patients with schizophrenia.
Development of a behavioural support intervention for e-bike use in Australia
Authors: McVicar Jenna , Nourse Rebecca , Keske Michelle A. , Maddison Ralph 
Published: December 2022

Abstract
Background
Insufficient physical activity (PA) is a risk factor for the development of many non-communicable diseases. Electric bicycles (e-bikes) offer considerable potential to support people to be physically active, however, no previous e-bike intervention studies have supported e-bike use with behavioural support. The aim of this study was to co-develop theory-based intervention components which can be used to increase physical activity through e-cycling among people who are overweight or obese and physically inactive.

Methods
We conducted a mixed-methods study using an online survey and virtual co-design workshops. We utilised the Behaviour Change Wheel (BCW) to inform the development of the behavioural support intervention to facilitate day-to-day e-cycling.

Results
One hundred participants completed an online survey and seven participated in the online co-design workshops. The development of the intervention identified five intervention functions (enablement, training, environmental restructuring, education, and persuasion) and 16 behaviour change techniques (BCTs) from 11 BCT groups (goals and planning, feedback and monitoring, social support, shaping knowledge, natural consequences, comparison of behaviour, associations, repetition and substitution, comparison of outcomes, antecedents, and self-belief).

Conclusion
To our knowledge, this is the first study to combine co-design and the BCW to develop a comprehensive behavioural support intervention for e-bike use. Theory based intervention options should be considered when providing e-bikes to individuals to help them increase their habitual PA levels.
Tracheal airway pressure in tracheostomy tube capping trials: an experimental study
Authors: Nowak Andreas , Martin Sten , Höhne Maik , Heller Winfried , Usichenko Taras I. , Klemm Eckart 
Published: December 2022

Abstract
Background
Tracheostomy tube capping is a commonly used test to determine if the tracheostomy tube can be removed. The success of the capping trial depends on the patient’s ability to maintain sufficient spontaneous breathing with an occluded tracheostomy tube. The impact of an occluded tracheotomy tube on airway resistance is currently unknown. The aim of this study was to investigate tracheal pressure during capping or stoma button insertion and potential determinants concerning cuff.

Methods
Eight cuffed and uncuffed tracheostomy tubes and three stoma buttons of various manufacturers and sizes were inserted into the trachea model. Cuffs were completely deflated or contained atmospheric pressure. The trachea was ventilated bidirectional with a respirator in volume-controlled mode and volume flows 15–60 L/min. Tracheal pressure drop during inspiration as a parameter of pressure required to move gas through the airway was measured.

Results
Tracheal pressure drops occurred linearly or irregularly during capping trials to a maximum of 4.2 kPa at flow rates of 60 L/min for atmospheric pressure cuffs. In tracheostomy tubes with completely deflated cuffs, pressure drop in the trachea reaches a maximum of 3.4 kPa at a flow rate of 60 L/min. For tracheostomy tubes with cuff smaller inner or outer diameters do not regularly result in lower tracheal pressure drop. The pressure drop varies between different tracheostomy tubes depending on the manufacturer. In cuffed tracheostomy tubes, we observed three phenomena: sail-like positioning, folding over, and tightening of the cuff during flow. The maximum tracheal pressure drop during stoma button insertion reaches 0.014 kPa.

Conclusions
The cuff is a central element for the pressure drop in the airway and thus airway resistance during spontaneous translaryngeal breathing with a capped TT. Complete deflation reduces the pressure drop in the trachea. Due to deformation of the cuff, measured pressures are irregular as the volume flow is increased. Incomplete deflated cuffs and material characteristics of tracheostomy tubes and cuffs in addition to anatomical and clinical variables may cause unsuccessful capping trials due to increased airway resistance. All stoma buttons showed that pressure drop and thus airway resistance due to stoma buttons has no clinical relevance.