bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assessment of safety during hospitalization for patients undergoing Surgery after neoadjuvant therapy for moderately advanced Esophageal cancer
Authors: Xiong Chenyi , Ji Hongyun , Li Feng , Jiang Zhihua , Pang Zhonghao , Li Xiaoran 
Published: November 2023

Abstract
Purpose
To study the safety of patients with moderately advanced esophageal cancer during their hospital stay after undergoing surgery.

Methods
The clinical and pathological data of 66 patients with locally advanced esophageal cancer discharged from the Department of Thoracic Surgery of Jiangsu University Hospital from January 2017 to October 2022 were selected, of whom 32 underwent direct surgery (control group) and 34 underwent neoadjuvant therapy followed by surgery (experimental group), to retrospectively analyze whether there were differences in surgical outcomes, complication rates, biochemical and infection indicators between the two groups.

Results
The number of lymph node dissections, lymph node dissection rate, and hemoglobin value on the first day after the operation in the experimental group were smaller than those in the control group, and the difference was statistically significant (P < 0.05). The thoracic drainage volume of the experimental group was more than that of the control group, and the difference was statistically significant (P < 0.05). The incidence of pulmonary complications in the experimental group was higher than that in the control group, especially pulmonary infection, and the difference was statistically significant (P < 0.05). Compared with the control group, the experimental group was more prone to anastomotic leakage, and the difference was statistically significant (P < 0.05).

Conclusion
Neoadjuvant therapy combined with surgery for patients with advanced esophageal cancer is generally safe during hospitalization.
An online soft sensor method for biochemical reaction process based on JS-ISSA-XGBoost
Authors: Zhang Ligang , Wang Bo , Shen Yao , Nie Yongxin 
Published: November 2023

Abstract
Background
A method combining offline techniques and the just-in-time learning strategy (JITL) is proposed, because the biochemical reaction process often encounters changing features and parameters over time.

Methods
Firstly, multiple sub-databases in the fermentation process are constructed offline by an improved fuzzy C-means algorithm and the sample data are adaptively pruned by a similarity query threshold. Secondly, an improved eXtreme Gradient Boosting (XGBoost) method is used on the online modeling stage to build soft sensor models, and the multi-similarity-driven just-in-time learning strategy is used to increase the diversity of the model. Finally, to improve the generalization of the whole algorithm, the output of the base learner is fused by an improved Stacking integration model and then the predictive output is performed.

Results
Applying the constructed soft sensor model to the problem of predicting cell concentration and product concentration in Pichia pastoris fermentation process. The experimental results show that the root mean square error of the cell concentration is 0.0260, the coefficient of determination is 0.9945, the root mean square error of the product concentration is 2.6688, and the coefficient of determination is 0.9970. It shows that the proposed method has the advantages of timely prediction and high prediction accuracy, which validates the effectiveness and practicality of the method.

Conclusion
The JS-ISSA-XGBoost is an extensive and excellent soft measurement model that meets the practical needs for real-time monitoring of parameters and prediction of control in biochemical reactions.
Impact of Treviamet® & Treviamet XR® on quality of life besides glycemic control in type 2 DM patients
Authors: Khan Asima , Kanpurwala Muhammad Adnan , Khan Riasat Ali , Mahmudi Najum F. , Lohano Verumal , Ahmed Shakeel , Khan Majid , Uddin Fareed , Ali Syed Mohammad , Saghir Maliha , Baqar Abidi Syed Hussain , Kamal Jahanzeb 
Published: November 2023

Abstract
Background
Maintaining the quality of life is the main objective of managing type 2 diabetes (T2DM) (QoL). Since it is a key factor in patient motivation and adherence, treatment-related QoL has always been considered when choosing glucose-lowering medicines. The objective of the study was to evaluate the quality of life besides glycemic control among type 2 diabetes mellitus patients receiving Treviamet® & Treviamet XR® (Sitagliptin with Metformin) in routine care.

Methods
It was a prospective, open-label, non-randomized clinical trial including T2DM patients uncontrolled on Metformin therapy. All patients received Treviamet® & Treviamet XR® for six months. Sequential changes in QoL, fasting plasma glucose, HbA1c, body weight, and blood pressure were monitored from baseline to 3 consecutive follow-up visits. The frequency of adverse events (AEs) was also noted throughout the study.

Results
A total of 504 patients were screened; 188 completed all three follow-ups. The mean QoL score significantly declined from 57.09% at baseline to 33.64% at the 3rd follow-up visit (p < 0.01). Moreover, a significant decline in mean HbA1c and FPG levels was observed from baseline to 3rd follow-up visit (p < 0.01). Minor adverse events were observed, including abdominal discomfort, nausea, flatulence, and indigestion. Gender, HbA1c, diarrhea, and abdominal discomfort were significant predictors of a patient’s QoL, as revealed by the Linear Regression Model (R2 = 0.265, F(16, 99) = 2.231).

Conclusion
Treviamet® & Treviamet XR® significantly improved glycemic control (HbA1c levels) and QoL in T2DM patients without serious adverse events.

Trial registration
ClinicalTrials.gov identifier (NCT05167513), Date of registration: December 22, 2021.
Effect of SEC III protocol on upper airway dimensions in growing class III patients: a retrospective study
Authors: Elkalza Ahmed R. , Yacout Yomna M. 
Published: November 2023

Abstract
Background
The primary objective of the study was to evaluate the effects of SEC III (Splints, Class III Elastics, and Chin cup) protocol on the upper airway dimensions using lateral cephalometric radiographs. The secondary objectives were to evaluate the skeletal and dental effects of the SEC III protocol using lateral cephalometric radiographs.

Methods
The pre- and post-treatment lateral cephalometric radiographs of 24 patients treated using the SEC III protocol were used to address the aim of the study. Children in the pre-pubertal (CS-1 or CS-2) or circumpubertal (CS-3 or CS-4) skeletal maturation stage and having class III dentoskeletal malocclusion were included in the study. Patients with a history of previous orthodontic treatment, maxillofacial surgery or trauma, tonsillectomy, adenoidectomy, or craniofacial malformations were excluded. The pre-treatment and post-treatment lateral cephalometric radiographs were traced, then airway measurements, skeletal measurements, and dental measurements were performed. The results were analysed using paired samples t-test or Wilcoxon signed rank test according to the data normality.

Results
Data of 6 males and 18 females were analysed (Mean age = 11.21 ± 1.02 years). Duration of active treatment was 5.75 ± 1.03 months. Treatment using SEC III protocol resulted in a significant increase in ANB angle (2.92 ± 1.50 degrees, p < 0.001) and Wits appraisal (3.31 ± 1.99 mm) (p < 0.001). The increase in the mandibular plane angle (0.75 ± 1.42 degrees, p = 0.02) and the maxillary length (2.29 ± 2.69 mm, p < 0.001) was statistically significant. Contrarily, the mandibular length did not change significantly (p = 0.10). The maxillary incisors were significantly proclined (4.38 ± 4.28 degrees; p < 0.001), while the mandibular incisors were significantly retroclined (-5.79 ± 6.21 degrees; p < 0.001) following treatment. The change in the nasopharyngeal airway and the retropalatal airway was not statistically significant. The middle and inferior pharyngeal space (retroglossal airway) significantly decreased by 1.33 ± 1.97 mm (p = 0.003) and 1.96 ± 2.48 mm (p = 0.001), respectively.

Conclusions
Early class III correction using SEC III protocol reduced the retroglossal airway dimensions but did not affect the nasopharyngeal and retropalatal airway dimensions. Correction of the class III dentoskeletal relationship was obtained through both skeletal and dental changes.
Spatial variations and determinants of knowledge of ovulatory period among young women in Ethiopia: a spatial and multilevel analysis using 2016 EDHS
Authors: Aragaw Fantu Mamo , Alemayehu Meron Asmamaw , Derseh Nebiyu Mekonnen , Agimas Muluken Chanie , Shewaye Daniel Alayu , Eshetu Habitu Birhan , Asmamaw Desale Bihonegn , Asratie Melaku Hunie , Belachew Tadele Biresaw , Negash Wubshet Debebe 
Published: November 2023

Abstract
Background
Knowledge of the ovulatory period enables women in avoiding and engaging in sexual intercourse either to avoid and to have pregnancy as desired. It has been reported that young people have less knowledge of the ovulatory period. There is limited evidence about the spatial variability of knowledge of the ovulatory period among young women in Ethiopia. Hence, this study aimed to assess the spatial variation and factors sociated with knowledge of the ovulatory period among youths in Ethiopia for providing geographically targeted interventions.

Method
A secondary data analysis was carried out using the 2016 Ethiopian Demographic and Health Surveys with a total weighted sample of 6143 youths. Multilevel logistic regression analysis was utilized to identify factors influencing knowledge of the ovulatory period. ArcGIS version 10.7 software and Kuldorff’s SaTScan version 9.6 was used for the spatial analysis.

Results
Being older youth [AOR = 1.98; 1.46, 2.70], youths having primary education [AOR = 1.70; 1.23, 2.35], youths having secondary & higher education [AOR = 2.30; 1.41, 3.74], youths whose husbands have primary education [AOR = 1.39; 1.02, 1.91], and youths who use contraception [AOR = 1.66; 1.24, 2.22] were significant predictors of knowledge of ovulatory period. Knowledge of the ovulatory period among youth had non random spatial distribution across Ethiopia, and the primary clusters of incorrect knowledge of the ovulatory period were observed in Somalia, SNNPR, Benishangul gumuz, and Gambella regions of Ethiopia.

Conclusion
There was a non-random spatial pattern in the distribution of knowledge of the ovulation period among young women in Ethiopia. Age of youth, educational status, education of husband, and contraceptive use were significant predictors of knowledge of the ovulatory period among young women in Ethiopia. Hence, interventions should prioritize at-risk youths residing in regions with limited knowledge of the ovulatory period to enhance their awareness of the fertility window.
The district operation centres in one of the largest local health authorities in Italy to manage COVID-19 surveillance and homecare: first implementation and results of a survey addressed to general practitioners
Authors: Frisicale Emanuela Maria , Barbara Andrea , Perilli Alessio , Carini Elettra , Grossi Adriano , Simonetti Leonardo , Tammam Giulia , Axelrod Svetlana , Tanese Angelo , Goletti Mauro , Parente Paolo 
Published: November 2023

Abstract
Background
COVID-19 pandemic represented a shock for healthcare systems. Italy was one of the first country to deal with a huge number of patients to be diagnosed, isolated, and treated with scarce evidence-based guidelines and resources. Several organizational and structural changes were needed to face the pandemic at local level. The article aims at studying the perceived impact of the newly implemented District Operation Centres (DOCs) of Local Health Authority (LHA) Roma 1 in managing active surveillance and home care of COVID-19 patients and their close contacts in cooperation with general practitioners (GPs).

Methods
A questionnaire, developed according to Delphi methodology, was validated by 7 experts and administered to a randomized sample of GPs and family paediatricians (FPs). All medical doctors selected received a phone interview between December 2020 and January 2021. The questionnaire investigated general characteristics of the sample, relations with DOC and its usefulness, and potential developments. A descriptive analysis was performed and inferential statistical tests were used to assess differences.

Results
In April 2020 the LHA Roma 1 implemented one DOCs in each local health district. 215 medical doctors were interviewed, reaching the sample target for health districts (80% CL and 10% MOE) and the whole LHA (90% CL and 5% MOE). Several aspects in the management of COVID-19 cases and close contacts of COVID-19 cases, and of the support of DOCs to GPs/FPs were investigated. More than 55% of the GPs and FPs interviewed found the DOCs useful and more than 78% would recommend a service DOC-like to other LHAs. The medical professionals interviewed would use DOCs in the future as support in treating vulnerable patients, utilizing digital health tools, enlisting specialist doctors, establishing networks, and facilitating professional counselling by nurses.

Conclusions
This study is an attempt to evaluate an organizational change happened during COVID-19 pandemic. DOCs were created to support GPs and FPs as a link between primary healthcare and public health. Although several difficulties were disclosed, DOCs’ experience can help to overcome the fragmentation of the systems and the duality between primary care and public health and make the system more resilient.
Adverse drug reactions in hospitals: population estimates for Portugal and the ICD-9-CM to ICD-10-CM crosswalk
Authors: Ascenção Raquel , Nogueira Paulo , Sampaio Filipa , Henriques Adriana , Costa Andreia 
Published: November 2023

Abstract
Background
Adverse drug reactions (ADR), both preventable and non-preventable, are frequent and pose a significant burden. This study aimed to produce up-to-date estimates for ADR rates in hospitals, in Portugal, from 2010 to 2018. In addition, it explores possible pitfalls when crosswalking between ICD-9-CM and ICD-10-CM code sets for ADR identification.

Methods
The Portuguese Hospital Morbidity Database was used to identify hospital episodes (outpatient or inpatient) with at least one ICD code of ADR. Since the study period spanned from 2010 to 2018, both ICD-9-CM and ICD-10-CM codes based on previously published studies were used to define episodes. This was an exploratory study, and descriptive statistics were used to provide ADR rates and summarise episode features for the full period (2010–2018) as well as for the ICD-9-CM (2010–2016) and ICD -10-CM (2017–2018) eras.

Results
Between 2010 and 2018, ADR occurred in 162,985 hospital episodes, corresponding to 1.00% of the total number of episodes during the same period. Higher rates were seen in the oldest age groups. In the same period, the mean annual rate of episodes related to ADR was 174.2/100,000 population. The episode rate (per 100,000 population) was generally higher in males, except in young adults (aged '15–20', '25–30' and '30–35' years), although the overall frequency of ADR in hospital episodes was higher in females.

Conclusions
Despite the ICD-10-CM transition, administrative health data in Portugal remain a feasible source for producing up-to-date estimates on ADR in hospitals. There is a need for future research to identify target recipients for preventive interventions and improve medication safety practices in Portugal.
Roles of gut microbiota in atrial fibrillation: insights from Mendelian randomization analysis and genetic data from over 430,000 cohort study participants
Authors: Dai Huajie , Hou Tianzhichao , Wang Qi , Hou Yanan , Zhu Zheng , Zhu Yijie , Zhao Zhiyun , Li Mian , Lin Hong , Wang Shuangyuan , Zheng Ruizhi , Xu Yu , Lu Jieli , Wang Tiange , Ning Guang , Wang Weiqing , Zheng Jie , Bi Yufang , Xu Min 
Published: November 2023

Abstract
Background
Gut microbiota imbalances have been suggested as a contributing factor to atrial fibrillation (AF), but the causal relationship is not fully understood.

Objectives
To explore the causal relationships between the gut microbiota and AF using Mendelian randomization (MR) analysis.

Methods
Summary statistics were from genome-wide association studies (GWAS) of 207 gut microbial taxa (5 phyla, 10 classes, 13 orders, 26 families, 48 genera, and 105 species) (the Dutch Microbiome Project) and two large meta-GWASs of AF. The significant results were validated in FinnGen cohort and over 430,000 UK Biobank participants. Mediation MR analyses were conducted for AF risk factors, including type 2 diabetes, coronary artery disease (CAD), body mass index (BMI), blood lipids, blood pressure, and obstructive sleep apnea, to explore the potential mediation effect of these risk factors in between the gut microbiota and AF.

Results
Two microbial taxa causally associated with AF: species Eubacterium ramulus (odds ratio [OR] 1.08, 95% confidence interval [CI] 1.04–1.12, P = 0.0001, false discovery rate (FDR) adjusted p-value = 0.023) and genus Holdemania (OR 1.15, 95% CI 1.07–1.25, P = 0.0004, FDR adjusted p-value = 0.042). Genus Holdemania was associated with incident AF risk in the UK Biobank. The proportion of mediation effect of species Eubacterium ramulus via CAD was 8.05% (95% CI 1.73% − 14.95%, P = 0.008), while the proportion of genus Holdemania on AF via BMI was 12.01% (95% CI 5.17% − 19.39%, P = 0.0005).

Conclusions
This study provided genetic evidence to support a potential causal mechanism between gut microbiota and AF and suggested the mediation role of AF risk factors.
A combined encoder–transformer–decoder network for volumetric segmentation of adrenal tumors
Authors: Wang Liping , Ye Mingtao , Lu Yanjie , Qiu Qicang , Niu Zhongfeng , Shi Hengfeng , Wang Jian 
Published: November 2023

Abstract
Background
The morphology of the adrenal tumor and the clinical statistics of the adrenal tumor area are two crucial diagnostic and differential diagnostic features, indicating precise tumor segmentation is essential. Therefore, we build a CT image segmentation method based on an encoder–decoder structure combined with a Transformer for volumetric segmentation of adrenal tumors.

Methods
This study included a total of 182 patients with adrenal metastases, and an adrenal tumor volumetric segmentation method combining encoder–decoder structure and Transformer was constructed. The Dice Score coefficient (DSC), Hausdorff distance, Intersection over union (IOU), Average surface distance (ASD) and Mean average error (MAE) were calculated to evaluate the performance of the segmentation method.

Results
Analyses were made among our proposed method and other CNN-based and transformer-based methods. The results showed excellent segmentation performance, with a mean DSC of 0.858, a mean Hausdorff distance of 10.996, a mean IOU of 0.814, a mean MAE of 0.0005, and a mean ASD of 0.509. The boxplot of all test samples' segmentation performance implies that the proposed method has the lowest skewness and the highest average prediction performance.

Conclusions
Our proposed method can directly generate 3D lesion maps and showed excellent segmentation performance. The comparison of segmentation metrics and visualization results showed that our proposed method performed very well in the segmentation.
Optimizing the maximum reported cluster size for the multinomial-based spatial scan statistic
Authors: Moon Jisu , Kim Minseok , Jung Inkyung 
Published: November 2023

AbstractBackgroundCorrectly identifying spatial disease cluster is a fundamental concern in public health and epidemiology. The spatial scan statistic is widely used for detecting spatial disease clusters in spatial epidemiology and disease surveillance. Many studies default to a maximum reported cluster size (MRCS) set at 50% of the total population when searching for spatial clusters. However, this default setting can sometimes report clusters larger than true clusters, which include less relevant regions. For the Poisson, Bernoulli, ordinal, normal, and exponential models, a Gini coefficient has been developed to optimize the MRCS. Yet, no measure is available for the multinomial model.ResultsWe propose two versions of a spatial cluster information criterion (SCIC) for selecting the optimal MRCS value for the multinomial-based spatial scan statistic. Our simulation study suggests that SCIC improves the accuracy of reporting true clusters. Analysis of the Korea Community Health Survey (KCHS) data further demonstrates that our method identifies more meaningful small clusters compared to the default setting.ConclusionsOur method focuses on improving the performance of the spatial scan statistic by optimizing the MRCS value when using the multinomial model. In public health and disease surveillance, the proposed method can be used to provide more accurate and meaningful spatial cluster detection for multinomial data, such as disease subtypes.
Effects of a social network intervention on HIV seroconversion among people who inject drugs in Ukraine: moderation by network gender composition
Authors: Wiginton John Mark , Booth Robert , Smith Laramie R. , Shakya Sajina , da Silva Cristina Espinosa , Patterson Thomas L. , Pitpitan Eileen V. 
Published: November 2023

Abstract
Background
Women who inject drugs in Ukraine are disproportionately burdened by HIV. To help address the needs of this population, a greater understanding of how interventions may uniquely benefit women who inject drugs is needed.

Methods
Data come from a randomized controlled trial of a social network intervention targeting people who inject drugs in Ukraine (N = 1195). Indexes, plus two of their injection network members, received HIV testing and counseling (control arm) or HIV testing and counseling plus a social network intervention (intervention arm), in which indexes were trained to influence network members’ risk behaviors. We used Cox regressions with interaction terms to assess differences in time to HIV seroconversion between arms by network gender composition and gender of the index. For significant interaction terms, we calculated simple effects, generated survival functions using Kaplan–Meier methods, and compared survival curves using log-rank tests.

Results
At 12 months, there were 45 seroconversions among women (40.0 [28.3, 51.7] per 100 person years) and 111 among men (28.4 [23.1, 33.6] per 100 person years) in the control arm; there were 27 seroconversions among women (17.1 [10.7, 23.6] per 100 person years) and 77 among men (18.7 [14.5, 22.9] per 100 person years) in the intervention arm. Network gender composition (but not gender of the index) moderated the intervention effect on HIV incidence (p < 0.05). Specifically, the intervention appeared to be even more protective against HIV acquisition as female gender composition increased. In the intervention arm, the HIV seroconversion hazard rate was 44% lower with 1 network female; 61% lower with 2 network females; and 72% lower with 3 network females.

Conclusions
A greater number of women in an injection network, coupled with the provision of risk-reduction strategies, is associated with HIV risk-mitigation, though the mechanisms through which this occurs remain unclear. Findings can support new research and practice directions that prioritize women who inject drugs and more thoughtfully support their health and wellbeing.