bluuebunny/crossref_metadata_2025 huggingface dataset:
Low Hartmann’s procedure versus abdominoperineal resection for rectal cancer, a propensity score matching cohort study
Authors: Zhang Xubing , Liu Shaojun , Liu Liu , Zhu Zhiqiang
Published: June 2024

Background

This study aimed to compare low Hartmann’s procedure (LHP) with abdominoperineal resection (APR) for rectal cancer (RC) regarding postoperative complications.

Method

RC patients receiving radical LHP or APR from 2015 to 2019 in our center were retrospectively enrolled. Patients’ demographic and surgical information was collected and analyzed. Propensity score matching (PSM) was used to balance the baseline information. The primary outcome was the incidence of major complications. All the statistical analysis was performed by SPSS 22.0 and R.

Results

342 individuals were primarily included and 134 remained after PSM with a 1:2 ratio (50 in LHP and 84 in APR). Patients in the LHP group were associated with higher tumor height (P < 0.001). No significant difference was observed between the two groups for the incidence of major complications (6.0% vs. 1.2%, P = 0.290), and severe pelvic abscess (2% vs. 0%, P = 0.373). However, the occurrence rate of minor complications was significantly higher in the LHP group (52% vs. 21.4%, P < 0.001), and the difference mainly lay in abdominal wound infection (10% vs. 0%, P = 0.006) and bowel obstruction (16% vs. 4.8%, P = 0.028). LHP was not the independent risk factor of pelvic abscess in the multivariate analysis.

Conclusion

Our data demonstrated a comparable incidence of major complications between LHP and APR. LHP was still a reliable alternative in selected RC patients when primary anastomosis was not recommended.
Mental health and quality of life in patients with chronic liver disease: a single-center structural equation model
Authors: Jafree Sara Rizvi , Naveed Ammara , Ahsan Humna , Burhan Syeda Khadija , Khan Masha Asad , Khawar Amna , Fischer Florian
Published: June 2024

Background

Chronic liver disease (CLD) is one of the leading disease burdens in Pakistan. Until now, there has only been limited focus in the country on providing health services through tertiary services in urban cities, whereas there is almost no research in Pakistan on the mental health and quality of life of CLD patients. This study aimed to understand which predictors influence the mental health and quality of life of CLD patients in order to advise better policy protection.

Methods

Data was collected from CLD patients at the Pakistan Kidney and Liver Institute and Research Centre, Lahore, Pakistan. A total of 850 respondents were part of the final sample. The age of respondents ranged from 18 to 79 years and included the following diagnosis: (i) Chronic Viral Hepatitis (n = 271), (ii) Cirrhosis (n = 259), (iii) Hepatocellular Carcinoma (n = 193), and (iv) Non-viral Liver Disease (n = 127).

Results

Mean results reveal that females as well as illiterate patients need more support for mental health and communication with their physician; whereas men need more support to develop coping strategies. Structural equation modelling results reveal that the severity of symptoms (β = 0.24, p < 0.001), coping strategies (β=-0.51, p < 0.001), and doctor communication (β=-0.35, p < 0.001) predict mental health. Quality of life is associated with the severity of symptoms (β=-0.36, p < 0.001), coping strategies (β = 0.26, p < 0.05), and doctor communication (β = 0.09, p < 0.05).

Conclusions

A ‘bio-psycho-social-spiritual’ model is recommended for Pakistan’s CLD patients which includes the integration of social officers to provide support in four key areas to secure mental health and quality of life of patients.
Prevalence and associated risk factors of sarcopenia in community-dwelling older adults in Pakistan: a cross-sectional study
Authors: Altaf Shafaq , Malmir Kazem , Mir Syed Mohsen , Olyaei Gholam Reza , Aftab Anam , Rajput Tausif Ahmed
Published: June 2024

Background

Advancements in medical facilities have led to an increase in global life expectancy, emphasizing the need to address age-related health issues. Sarcopenia, characterized by muscle mass loss, poses significant challenges for older adults. Despite a higher prevalence in Asian populations, there is a remarkable absence of studies addressing sarcopenia among the older adults in Pakistan. This research aims to determine sarcopenia prevalence, identify risk factors, and explore gender- and age-specific patterns among older adults in Pakistan.

Methods

A cross-sectional study involving 142 participants (65 males, 77 females) aged 60 and above was conducted using DEXA scans. Over a six-month period from January to June 2023, data were collected from the Islamabad Diagnostic Centre. This comprehensive dataset covered anthropometric measurements, body composition details, and health parameters. Statistical analyses, including logistic regression, were employed to examine the associations between sarcopenia and various factors.

Results

Sarcopenia manifested in 47.18% of the older adult population (n = 142), with a distribution of 39 males (60%) and 28 females (36.36%). The investigation unveiled a compelling correlation between underweight status and sarcopenia across genders. Indeed, males exhibited a significant negative correlation between skeletal muscle mass index and age, whereas females did not show a statistically significant association. Males presented higher odds of sarcopenia in comparison to females (Odds Ratio [OR] = 2.63, 95% Confidence Interval [CI]: 1.33–5.18, p = 0.005). Age (OR = 1.12, 95% CI: 1.02–1.22, p = 0.014), lower BMI (OR = 0.35, 95% CI: 0.20–0.60, p < 0.001), and reduced body fat percentage (OR = 1.75, 95% CI: 1.31–2.33, p < 0.001) emerged as significant contributors to sarcopenia. These detailed gender-specific findings emphasize the importance of customizing intervention strategies to address gender disparities in sarcopenia risk factors.

Conclusion

This study highlights the significant prevalence of sarcopenia among older adults in Pakistan, with distinct gender and age-related patterns observed. The overall prevalence of sarcopenia was found to be 47.18%, with higher rates among males compared to females. Age emerged as a significant risk factor, with each additional year increasing the odds of sarcopenia. Furthermore, weight, BMI, lean mass, and total body fat demonstrated important associations with sarcopenia prevalence, highlighting the multifaceted nature of this condition. The practical implications of this study emphasize the need for targeted screening programs and personalized interventions to mitigate sarcopenia’s impact, informing healthcare policies and public health strategies in Pakistan.
Development and validation of a social alienation predictive model for older maintenance hemodialysis patients based on latent profile analysis—a cross-sectional study
Authors: Wang Guannan , Dong Jing , Zhu Na , Zhu Yiping
Published: June 2024

Background

Social alienation refers to the state of feeling isolated, helpless, and unsatisfied due to maintaining distance from others or avoiding social interaction and activities. This phenomenon is caused by a lack of social skills, social anxiety, physical health problems, and other reasons. Older maintenance hemodialysis patients are exposed to a higher risk of social alienation. However, previous studies have been performed using the total score of the scale, which does not allow the identification of the characteristics of various patient groups with different levels of social alienation. In contrast, latent profile analysis can classify individuals into different categories based on continuous observational indicators, which improves accuracy and provides a more objective assessment by accounting for the uncertainty of variables. Given the concealed nature of social alienation and the differences in characteristics and treatment measures between different profiles, developing a predictive model for social alienation in older maintenance hemodialysis patients holds significance.

Objective

To explore the latent profile analysis of social alienation in older maintenance hemodialysis patients and to develop and validate a predictive model for social alienation in this population.

Methods

A total of 350 older maintenance hemodialysis patients were selected as the study subjects using convenience sampling. A cross-sectional survey was conducted using a general information questionnaire, the Generalized Alienation Scale, and the Self-Perceived Burden Scale. Based on the results of the Generalized Alienation Scale, a latent profile analysis was performed, followed by univariate analysis and multinomial logistic regression to develop a predictive model. The effectiveness of the predictive model was evaluated in terms of its authenticity, reliability, and predictive ability.

Results

Three hundred nineteen valid questionnaires were collected. The social alienation of older maintenance hemodialysis patients based on latent profile analysis were divided into three profiles, which were named the low/medium/high-symptom groups, comprising 21%, 38.9%, and 40.1% of participants, respectively. Based on male, monthly social activity hours, Age-Adjusted Charlson Comorbidity Index, dialysis age, and Self-Perceived Burden Scale, a predictive model of social alienation for older maintenance hemodialysis patients was developed, and the Hosmer–Lemeshow tests showed no statistical significance (P > 0.05). The model has high predictive efficiency in authenticity, reliability and predictability.

Conclusion

Older maintenance hemodialysis patients exhibited moderate to high levels of social alienation. The latent profile analysis based method was used to divide patients into low/medium/high-symptom profiles, and the predictive model demonstrates excellent authenticity, reliability, and predictability.
The impact of colistin-based regimens on mortality compared to other antimicrobials in patients with carbapenem-resistant Enterobacterales bacteremia in South African hospitals: a cross-sectional study
Authors: Ngoma Nqobile , Perovic Olga , de Voux Alex , Musekiwa Alfred , Shuping Liliwe ,   for GERMS-SA
Published: June 2024

Background

Treatment of carbapenem-resistant Enterobacterales (CRE) infections in low-resource settings is challenging particularly due to limited treatment options. Colistin is the mainstay drug for treatment; however, nephrotoxicity and neurotoxicity make this drug less desirable. Thus, mortality may be higher among patients treated with alternative antimicrobials that are potentially less efficacious than colistin. We assessed mortality in patients with CRE bacteremia treated with colistin-based therapy compared to colistin-sparing therapy.

Methods

We conducted a cross-sectional study using secondary data from a South African national laboratory-based CRE bacteremia surveillance system from January 2015 to December 2020. Patients hospitalized at surveillance sentinel sites with CRE isolated from blood cultures were included. Multivariable logistic regression modeling, with multiple imputations to account for missing data, was conducted to determine the association between in-hospital mortality and colistin-based therapy versus colistin-sparing therapy.

Results

We included 1 607 case-patients with a median age of 29 years (interquartile range [IQR], 0–52 years) and 53% (857/1 607) male. Klebsiella pneumoniae caused most of the infections (82%, n=1 247), and the most common carbapenemase genes detected were blaOXA-48-like (61%, n=551), and blaNDM (37%, n=333). The overall in-hospital mortality was 31% (504/1 607). Patients treated with colistin-based combination therapy had a lower case fatality ratio (29% [152/521]) compared to those treated with colistin-sparing therapy 32% [352/1 086]) (p=0.18). In our imputed model, compared to colistin-sparing therapy, colistin-based therapy was associated with similar odds of mortality (adjusted odds ratio [aOR] 1.02; 95% confidence interval [CI] 0.78-1.33, p=0.873).

Conclusion

In our resource-limited setting, the mortality risk in patients treated with colistin-based therapy was comparable to that of patients treated with colistin-sparing therapy. Given the challenges with colistin treatment and the increasing resistance to alternative agents, further investigations into the benefit of newer antimicrobials for managing CRE infections are needed.
Spatial and geometric learning for classification of breast tumors from multi-center ultrasound images: a hybrid learning approach
Authors: Ru Jintao , Zhu Zili , Shi Jialin
Published: June 2024

Background

Breast cancer is the most common cancer among women, and ultrasound is a usual tool for early screening. Nowadays, deep learning technique is applied as an auxiliary tool to provide the predictive results for doctors to decide whether to make further examinations or treatments. This study aimed to develop a hybrid learning approach for breast ultrasound classification by extracting more potential features from local and multi-center ultrasound data.

Methods

We proposed a hybrid learning approach to classify the breast tumors into benign and malignant. Three multi-center datasets (BUSI, BUS, OASBUD) were used to pretrain a model by federated learning, then every dataset was fine-tuned at local. The proposed model consisted of a convolutional neural network (CNN) and a graph neural network (GNN), aiming to extract features from images at a spatial level and from graphs at a geometric level. The input images are small-sized and free from pixel-level labels, and the input graphs are generated automatically in an unsupervised manner, which saves the costs of labor and memory space.

Results

The classification AUCROC of our proposed method is 0.911, 0.871 and 0.767 for BUSI, BUS and OASBUD. The balanced accuracy is 87.6%, 85.2% and 61.4% respectively. The results show that our method outperforms conventional methods.

Conclusions

Our hybrid approach can learn the inter-feature among multi-center data and the intra-feature of local data. It shows potential in aiding doctors for breast tumor classification in ultrasound at an early stage.
A miRNA-disease association prediction model based on tree-path global feature extraction and fully connected artificial neural network with multi-head self-attention mechanism
Authors: Biyu Hou , Mengshan Li , Yuxin Hou , Ming Zeng , Nan Wang , Lixin Guan
Published: June 2024

Background

MicroRNAs (miRNAs) emerge in various organisms, ranging from viruses to humans, and play crucial regulatory roles within cells, participating in a variety of biological processes. In numerous prediction methods for miRNA-disease associations, the issue of over-dependence on both similarity measurement data and the association matrix still hasn’t been improved. In this paper, a miRNA-Disease association prediction model (called TP-MDA) based on tree path global feature extraction and fully connected artificial neural network (FANN) with multi-head self-attention mechanism is proposed. The TP-MDA model utilizes an association tree structure to represent the data relationships, multi-head self-attention mechanism for extracting feature vectors, and fully connected artificial neural network with 5-fold cross-validation for model training.

Results

The experimental results indicate that the TP-MDA model outperforms the other comparative models, AUC is 0.9714. In the case studies of miRNAs associated with colorectal cancer and lung cancer, among the top 15 miRNAs predicted by the model, 12 in colorectal cancer and 15 in lung cancer were validated respectively, the accuracy is as high as 0.9227.

Conclusions

The model proposed in this paper can accurately predict the miRNA-disease association, and can serve as a valuable reference for data mining and association prediction in the fields of life sciences, biology, and disease genetics, among others.

Graphical Abstract
Time-dependent efficacy analysis of first-line immunotherapies for advanced non–small cell lung cancer
Authors: Hui Wen , Li Wentan , Song Ruomeng , Xin Yu , Wu Changjin , Gao Zhixiang , Zhang Mingyue , Wu Huazhang , Zhu Min , Cai Yuanyi
Published: June 2024

Background

Many randomized controlled trials (RCTs) and network meta-analyses have demonstrated that the progression-free survival (PFS) and overall survival (OS) of advanced non-small cell lung cancer (NSCLC) patients can be improved through combination immunotherapy or monotherapies. However, time-dependent analysis of the treatment effect is currently lacking. Thus, we aimed to evaluate the efficacy of first-line immunotherapy, and establish a hazard ratio function to reflect the time-varying progression or mortality risk of patients with NSCLC.

Methods

Seventeen clinical trials were selected based on search strategy. Baseline characteristics, including the age, sex, smoking status, geographical region, and Eastern Cooperative Oncology Group (ECOG) performance status of patients, were balanced, resulting in ten immunotherapies from nine appropriate clinical trials to conduct treatment effect comparison.

Results

We found that nivolumab plus ipilimumab (nivo + ipi) improved the PFS and OS over time. The hazard ratio of nivo + ipi, relative to that of pembrolizumab, decreased from 1.11 to 0.36 for PFS, and from 0.93 to 0.49 for OS over a 10-year period. In terms of the response to immunotherapy in patients with different PD-L1 expression levels, patients with PD-L1 > = 50% experienced lower rates of progression and a reduced mortality risk over time. The hazard ratio of patients with PD-L1 > = 50% relative to all of the patients decreased from 0.73 to 0.69 for PFS, and from 0.78 to 0.67 for OS.

Conclusions

Based on the fact that time-dependent progression and mortality risk existed during the treatment duration, physicians should select a suitable treatment regimen for patients based on the hazard ratio.
Association of the SHOX2 and RASSF1A methylation levels with the pathological evolution of early-stage lung adenocarcinoma
Authors: Zhao Jiaping , Lu Yu , Ren Xiaosha , Bian Tingting , Feng Jia , Sun Hui , Liu Lei , She Bin , Liu Yifei , Ke Honggang
Published: June 2024

Background The methylation of SHOX2 and RASSF1A shows promise as a potential biomarker for the early screening of lung cancer, offering a solution to remedy the limitations of morphological diagnosis. The aim of this study is to diagnose lung adenocarcinoma by measuring the methylation levels of SHOX2 and RASSF1A, and provide an accurate pathological diagnosis to predict the invasiveness of lung cancer prior to surgery.

Material and methods The methylation levels of SHOX2 and RASSF1A were quantified using a LungMe® test kit through methylation-specific PCR (MS-PCR). The diagnostic efficacy of SHOX2 and RASSF1A and the cutoff values were validated using ROC curve analysis. The hazardous factors influencing the invasiveness of lung adenocarcinoma were calculated using multiple regression.

Results: The cutoff values of SHOX2 and RASSF1A were 8.3 and 12.0, respectively. The sensitivities of LungMe® in IA, MIA and AIS patients were 71.3% (122/171), 41.7% (15/36), and 16.1% (5/31) under the specificity of 94.1% (32/34) for benign lesions. Additionally, the methylation level of SHOX2, RASSF1A and LungMe® correlated with the high invasiveness of clinicopathological features, such as age, gender, tumor size, TNM stage, pathological type, pleural invasion and STAS. The tumor size, age, CTR values and LungMe® methylation levels were identified as independent hazardous factors influencing the invasiveness of lung adenocarcinoma.

Conclusion: SHOX2 and RASSF1A combined methylation can be used as an early detection indicator of lung adenocarcinoma. SHOX2 and RASSF1A combined (LungMe®) methylation is significantly correlated to age, gender, tumor size, TNM stage, pathological type, pleural invasion and STAS. The SHOX2 and RASSF1A methylation levels, tumor size and CTR values could predict the invasiveness of the tumor prior to surgery, thereby providing guidance for the surgical procedure.
Predicting treatment response in multicenter non-small cell lung cancer patients based on federated learning
Authors: Liu Yuan , Huang Jinzao , Chen Jyh-Cheng , Chen Wei , Pan Yuteng , Qiu Jianfeng
Published: June 2024

Background

Multicenter non-small cell lung cancer (NSCLC) patient data is information-rich. However, its direct integration becomes exceptionally challenging due to constraints involving different healthcare organizations and regulations. Traditional centralized machine learning methods require centralizing these sensitive medical data for training, posing risks of patient privacy leakage and data security issues. In this context, federated learning (FL) has attracted much attention as a distributed machine learning framework. It effectively addresses this contradiction by preserving data locally, conducting local model training, and aggregating model parameters. This approach enables the utilization of multicenter data with maximum benefit while ensuring privacy safeguards. Based on pre-radiotherapy planning target volume images of NSCLC patients, a multicenter treatment response prediction model is designed by FL for predicting the probability of remission of NSCLC patients. This approach ensures medical data privacy, high prediction accuracy and computing efficiency, offering valuable insights for clinical decision-making.

Methods

We retrospectively collected CT images from 245 NSCLC patients undergoing chemotherapy and radiotherapy (CRT) in four Chinese hospitals. In a simulation environment, we compared the performance of the centralized deep learning (DL) model with that of the FL model using data from two sites. Additionally, due to the unavailability of data from one hospital, we established a real-world FL model using data from three sites. Assessments were conducted using measures such as accuracy, receiver operating characteristic curve, and confusion matrices.

Results

The model’s prediction performance obtained using FL methods outperforms that of traditional centralized learning methods. In the comparative experiment, the DL model achieves an AUC of 0.718/0.695, while the FL model demonstrates an AUC of 0.725/0.689, with real-world FL model achieving an AUC of 0.698/0.672.

Conclusions

We demonstrate that the performance of a FL predictive model, developed by combining convolutional neural networks (CNNs) with data from multiple medical centers, is comparable to that of a traditional DL model obtained through centralized training. It can efficiently predict CRT treatment response in NSCLC patients while preserving privacy.
Climate protection, health and other motives for active transport – results of a cross-sectional survey in Germany
Authors: Moosburger Ramona , Manz Kristin , Richter Almut , Mensink Gert B.M. , Loss Julika
Published: June 2024

Background

Active transport– for example walking and bicycling to travel from place to place– may improve physical fitness and health and mitigate climate change if it replaces motorised transport. The aim of this study is to analyse the active transport behaviour of adults living in Germany, to investigate differences among population groups and to determine whether climate protection is a frequent motive for this behaviour.

Methods

This study uses self-reported data of 4,971 adults who participated in a national health survey (German Health Update 2021), which was conducted as a telephone survey from July to December 2021. Associations between active transport behaviour and corresponding motives with sociodemographic and health-related variables were analysed using logistic regression models.

Results

Of the adult population, 83% use active transport at least once a week. The frequency and duration of walking per week are significantly higher than those for bicycling (walking 214 min/week; bicycling 57 min/week). Those with a lower education level are less likely to practise active transport than those with a higher education level. Furthermore, women are less likely to use a bicycle for transport than men. Among those practising active transport, the most frequently mentioned motive is “is good for health” (84%) followed by “to be physically active” (74%) and “is good for the climate/environment” (68%). Women and frequent bicyclists (at least 4 days/week) mention climate protection as a motive more often than men and those bicycling occasionally.

Conclusions

The improvement of active transport, especially among people with lower education and women (for bicycling), may benefit from better insights into motives and barriers. Climate protection is an important motivator for practising active transport within the adult population living in Germany and should therefore have greater emphasis in behavioural change programmes.
Genetic polymorphisms of inflammatory and bone metabolism related proteins in a population with dental implants of the Basque Country. A case-control study
Authors: Lafuente-Ibáñez-de-Mendoza Irene , Marichalar-Mendia Xabier , Setién-Olarra Amaia , García-de-la-Fuente Ana María , Martínez-Conde-Llamosas Rafael , Aguirre-Urizar José Manuel
Published: June 2024

Background

Peri-implantitis (PI) is a frequent inflammatory disorder characterised by progressive loss of the supporting bone. Not all patients with recognised risk factors develop PI. The aim of this study is to evaluate the presence of single nucleotide polymorphisms (SNP) of inflammatory and bone metabolism related proteins in a population treated with dental implants from the Basque Country (Spain).

Methods

We included 80 patients with diagnosis of PI and 81 patients without PI, 91 women and 70 men, with a mean age of 60.90 years. SNPs of BMP-4, BRINP3, CD14, FGF-3, FGF-10, GBP-1, IL-1α, IL-1β, IL-10, LTF, OPG and RANKL proteins were selected. We performed a univariate and bivariate analysis using IBM SPSS® v.28 statistical software.

Results

Presence of SNPs GBP1 rs7911 (p = 0.041) and BRINP3 rs1935881 (p = 0.012) was significantly more common in patients with PI. Patients with PI who smoked (> 10 cig/day) showed a higher presence of OPG rs2073617 SNP (p = 0.034). Also, BMP-4 rs17563 (p = 0.018) and FGF-3 rs1893047 (p = 0.014) SNPs were more frequent in patients with PI and Type II diabetes mellitus.

Conclusions

Our findings suggest that PI could be favoured by an alteration in the osseointegration of dental implants, based on an abnormal immunological response to peri-implant infection in patients from the Basque Country (Spain).
Mediating effect of meaning in life on death anxiety and attitude toward palliative care among undergraduate nursing students
Authors: Xu Gui-Ru , Yu Wen-Ying
Published: June 2024

Background

This study investigates the mediating effect of meaning in life between death anxiety and attitude toward palliative care among nursing students.

Methods

We enrolled 363 undergraduate nursing students using a convenience sampling method as the respondents and conducted a survey using general information about nursing students, the Chinese version of the FATCOD-B Scale, the Chinese version of the Death Anxiety Scale, and the Chinese version of the Meaning in Life Questionnaire. The SPSS25.0 statistical software was used to analyze the mediating effect.

Results

The mean total attitude score toward palliative care was (104.72 ± 10.62). Death anxiety had a significant negative predictive effect on the attitude toward palliative care (β = -0.520, P < 0.01). When the mediating variable of the presence of meaning in life was included, the negative predictive effect of death anxiety on attitude toward palliative care remained significant (β = -0.379, P = 0.036); the mediating effect (-0.141) accounted for 27.12% of the total impact (-0.520).

Conclusions

The presence of meaning in life mediates the relationship between death anxiety and attitude toward palliative care. This implies that nursing educators, through their role in educating nursing students about the meaning of life, can significantly influence the development of a positive attitude toward palliative care.
Availability and stability of palliative care for family members of terminally ill patients in an integrated model of health and social care
Authors: Wang Chunyan , Bi Shaojie , Lu Yanxia , Li Yuli , Han Bing , Xu Min , Meng Guiyue , Zhou Qingbo
Published: June 2024

Background

Palliative care and the integration of health and social care have gradually become the key direction of development to address the aging of the population and the growing burden of multimorbidity at the end of life in the elderly.

Aims

To explore the benefits/effectiveness of the availability and stability of palliative care for family members of terminally ill patients in an integrated institution for health and social care.

Methods

This prospective observational study was conducted at an integrated institution for health and social care. 230 patients with terminal illness who received palliative care and their family members were included. Questionnaires and scales were administered to the family members of patients during the palliative care process, including quality-of-life (SF-8), family burden (FBSD, CBI), anxiety (HAMA), and distress (DT). We used paired t-tests and correlation analyses to analyze the data pertaining to our research questions.

Results

In the integrated institution for health and social care, palliative care can effectively improve quality of life, reduce the family’s burden and relieve psychological impact for family members of terminally ill patients. Palliative care was an independent influencing factor on the quality of life, family burden, and psychosocial status. Independently of patient-related and family-related factors, the results are stable and widely applicable.

Conclusion

The findings underline the availability and stability of palliative care and the popularization of an integrated service model of health and social care for elder adults.
Oil-soluble contrast medium bathing attenuated endometrial inflammation and improved endometrial receptivity in women with recurrent implantation failure: a descriptive study
Authors: Huang Qiuyan , Mo LinIing , Wang Junli , Qin Aiping
Published: June 2024

Background

The oil-soluble contrast medium used in hysterosalpingography has been shown to have a fertility-enhancing effect, but the underlying mechanism is unclear, especially regarding the role of window of implantation (WOI). This study aimed to assess the endometrial immunological impact of the WOI before and after bathing with the oil-soluble contrast medium in women with recurrent implantation failure (RIF).

Methods

This descriptive study involved two medical centers between December 18, 2019, and December 30, 2020. We included infertile women who underwent three or more transfer cycles, cumulative transplantation of at least four high-quality cleavage-stage embryos or three high-quality blastocysts without clinical pregnancy, and high-quality frozen embryos that were still available for implantation. Patients received 5 ml of ethiodized poppyseed oil bathing, endometrial biopsy around bathing, and frozen-thawed embryo transfer (FET) within four menstrual cycles after bathing. Patients were excluded if failure to complete anyone. Data on the baseline characteristics and clinical data of the FET cycles were collected, and endometrial biopsy specimens were collected in the luteal phase before and after bathing and subjected to immunohistochemistry. The number of CD56 and CD138 positive cells and H-score of expression of ανβ-3 and HOXA10 in endometrium were collected.

Results

Thirty-four patients were initially enrolled in the study; ultimately, twelve patients with a median age of 32.5 years (range 27–40 years) completed the research. The median number of embryo transfer cycles was three (range 3–8). A total of 4 of 12 women (33.33%) were diagnosed with chronic endometritis before oil-soluble contrast bathing. After bathing, the median numbers of CD138-positive cells in endometrium decreased from 0.75 (range 0–13.5) to 0.65 (range 0–6), P = 0.035; additionally, the H-score of expression of ανβ-3 in endometrium increased from 148.50 ± 31.63 to 175.58 ± 31.83, P < 0.001. The thickness of the endometrium also significantly increased (8.90 ± 1.45 mm vs.10.11 ± 1.98 mm, P = 0.005). However, no consistent changes were found in the expression of CD56 and HOXA10 in the endometrium. Five patients experienced biochemical pregnancies (41.67%), four had clinical pregnancies (33.33%), and three achieved live births following oil-soluble contrast bathing (25%).

Conclusions

These results suggest that oil-soluble contrast medium bathing decreased CD138-positive cells and upregulated expression of ανβ-3 during WOI in patients with RIF. This histological impact of endometrium may result in enhanced fertility during FET cycles. Investigating the ability of intrauterine bathing with lower-dosage oil-soluble contrast to improve pregnancy in the RIF population is warranted.
Survival benefits of postoperative radiotherapy in patients with cT1 − 2N1M0 breast cancer after neoadjuvant chemotherapy: a SEER-based population study
Authors: Yang Jie , Zhao Jie , Chang Hui , Yan Lijuan , Zhang Jinru , Liu Haiming , Ning Peng
Published: June 2024

Background

Whether patients with cT1 − 2N1M0 breast cancer can benefit from postoperative radiotherapy (RT) after receiving neoadjuvant chemotherapy (NAC) has been controversial. Therefore, the purpose of this study was to explore whether postoperative RT can benefit this group of patients in terms of survival.

Methods

We used Surveillance, Epidemiology, and End Results (SEER) data to conduct a retrospective review of women with cT1 − 2N1M0 breast cancer diagnosed between 20 and 80 years of age who received NAC between 2010 and 2015. Our study compared the impact of postoperative RT on overall survival (OS) and cancer-specific survival (CSS) in breast cancer patients using propensity score matching (PSM) and performed subgroup analysis.

Results

This study finally included 1092 cT1 − 2N1M0 breast cancer patients. Regardless of the patient’s PSM status, postoperative RT was significantly associated with OS of cT1-2N1M0 breast cancer patients who received NAC. Specifically, the 10-year OS rate was 78.7% before PSM matching, compared with 71.1% in patients who did not receive postoperative RT, and the difference was more significant after PSM matching, which was 83.1% and 71.1% respectively. However, postoperative RT did not significantly benefit CSS in patients with cT1 − 2N1M0 breast cancer who received NAC. The 10-year CSS rate was 81.4% VS 76.2% (P = 0.085) before PSM matching and 85.8% VS 76.2%(P = 0.076) after matching. Due to the intersection of OS and CSS curves, this restricted mean survival time (RMST) method was chosen as a supplement. After 60 months, the OS difference in RMST between the postoperative RT group and the non-radiotherapy (noRT) group was 7.37 months (95%CI: 0.54–14.21; P = 0.034), and the CSS difference was 5.18 months (95%CI: -1.31-11.68; P = 0.118). Subgroup analysis found that in patients with right-sided breast cancer, postoperative RT improved the patient’s OS (HR = 0.45, 95%CI: 0.21–0.95, P = 0.037) and CSS (HR = 0.42, 95%CI: 0.18–0.98, P = 0.045).

Conclusions

Our results showed that additional postoperative RT improved the OS of cT1 − 2N1M0 breast cancer patients who received NAC, but failed to improve their CSS. It is worth noting that in the subgroup analysis of patients with right-sided breast cancer, we observed significant improvements in OS and CSS. And further prospective studies are still needed to verify the effect of postoperative RT in different subgroups.
A systematic review of sham acupuncture validation studies
Authors: Lim Sung Min , Go Eunji
Published: June 2024

Background

Acupuncture is widely used worldwide; however, studies on its effectiveness have been impeded by limitations regarding the design of appropriate control groups. In clinical research, noninvasive sham acupuncture techniques can only be applied through validation studies. Therefore, this systematic review aimed to evaluate the scope of existing literature on this topic to identify trends.

Methods

We queried Pubmed, EMBASE, and the Cochrane Central Register of Controlled Trials databases from inception to July 2022 for relevant articles. Author names were used to identify additional relevant articles. Two independent reviewers assessed the identified articles based on the inclusion and exclusion criteria. The following data were extracted: study design, information regarding acupuncturists and participants, general and treatment-related characteristics of the intervention and control groups, participants’ experience of acupuncture, and research findings.

Results

The database query yielded 673 articles, of which 29 articles were included in the final review. Among these, 18 involved the use of one of three devices: Streitberger (n = 5), Park (n = 7), and Takakura (n = 6) devices. The remaining 11 studies used other devices, including self-developed needles. All the included studies were randomized controlled trials. The methodological details of the included studies were heterogeneous with respect to outcomes assessed, blinding, and results.

Conclusions

Sham acupuncture validation studies have been conducted using healthy volunteers, with a focus on blind review and technological developments in sham acupuncture devices. However, theren may be language bias in our findings since we could not query Chinese and Japanese databases due to language barriers. There is a need for more efforts toward establishing control groups suitable for various acupuncture therapy interventions. Moreover, there is a need for more rigorous sham acupuncture validation studies, which could lead to higher-quality clinical studies.
Preparing clinicians for practice: effectiveness and design of on-call simulation
Authors: Priest Sebastian , Wells Lucy , Huszka Hajnalka , Tovell Nick , Okorie Michael
Published: June 2024

Background

Final year medical students and postgraduate doctors regularly contend with feelings of under-preparedness when transitioning into new areas of clinical practice. This lack of confidence is most evident in the context of on-call work which frequently requires sound clinical prioritisation, rigorous decision making and the management of acutely unwell patients, often with reduced senior support and staffing. This has prompted the emergence of on-call simulation which seeks to enhance participant confidence in performing on-call tasks and facilitate the development of key clinical and non-technical skills. This narrative review examined the use of on-call simulation in medical student and newly qualified doctor cohorts, its effectiveness in achieving its stated outcomes and to identify novel areas for the development of existing models.

Method

A search strategy was developed in conjunction with a specialist medical librarian. OVID Medline and Embase searches identified articles related to the use and design of on-call simulation in medical education with no restrictions placed upon date or language of publication. Key findings from articles were summarised to develop comprehensive themes for discussion.

Results

Twenty Three unique publications were reviewed which unanimously reported that on-call simulation had a positive effect on self-reported participant confidence in performing on-call roles. Furthermore the value on-call simulation when used as an induction activity was also evident. However, there was limited evidence around improved patient and performance outcomes following simulation. It also remains resource intensive as an educational tool and there is a distinct absence of interprofessional education in current models.

Conclusions

We concluded that on-call simulation must adopt an interprofessional educational approach, incorporating other clinical roles. Further studies are needed to characterise the impact on patient outcomes. It remains highly useful as a confidence-boosting induction activity, particularly in specialities where clinical exposure is limited. Virtual and tabletop simulation formats, could potentially address the resource burden of manikin-based models, particularly with ever growing demands on medical educators and the expansion of training posts.
Current status and ongoing needs for the teaching and assessment of clinical reasoning – an international mixed-methods study from the students` and teachers` perspective
Authors: Wagner F. L , Sudacka M. , Kononowicz A. A , Elvén M. , Durning S. J , Hege I. , Huwendiek S.
Published: June 2024

Background

Clinical reasoning (CR) is a crucial ability that can prevent errors in patient care. Despite its important role, CR is often not taught explicitly and, even when it is taught, typically not all aspects of this ability are addressed in health professions education. Recent research has shown the need for explicit teaching of CR for both students and teachers. To further develop the teaching and learning of CR we need to improve the understanding of students' and teachers' needs regarding content as well as teaching and assessment methods for a student and trainer CR curriculum.

Methods

Parallel mixed-methods design that used web-surveys and semi-structured interviews to gather data from both students (nsurvey = 100; ninterviews = 13) and teachers (nsurvey = 112; ninterviews = 28). The interviews and surveys contained similar questions to allow for triangulation of the results. This study was conducted as part of the EU-funded project DID-ACT (https://did-act.eu).

Results

Both the surveys and interview data emphasized the need for content in a clinical reasoning (CR) curriculum such as “gathering, interpreting and synthesizing patient information”, “generating differential diagnoses”, “developing a diagnostic and a treatment plan” and “collaborative and interprofessional aspects of CR”. There was high agreement that case-based learning and simulations are most useful for teaching CR. Clinical and oral examinations were favored for the assessment of CR. The preferred format for a train-the-trainer (TTT)-course was blended learning. There was also some agreement between the survey and interview participants regarding contents of a TTT-course (e.g. teaching and assessment methods for CR). The interviewees placed special importance on interprofessional aspects also for the TTT-course.

Conclusions

We found some consensus on needed content, teaching and assessment methods for a student and TTT-course in CR. Future research could investigate the effects of CR curricula on desired outcomes, such as patient care.
Experiences of medical students and faculty regarding the use of long case as a formative assessment method at a tertiary care teaching hospital in a low resource setting: a qualitative study
Authors: Kumakech Jacob , Munabi Ian Guyton , Mubuuke Aloysius Gonzaga , Kiguli Sarah
Published: June 2024

Introduction

The long case is used to assess medical students’ proficiency in performing clinical tasks. As a formative assessment, the purpose is to offer feedback on performance, aiming to enhance and expedite clinical learning. The long case stands out as one of the primary formative assessment methods for clinical clerkship in low-resource settings but has received little attention in the literature.

Objective

To explore the experiences of medical students and faculty regarding the use of the Long Case Study as a formative assessment method at a tertiary care teaching hospital in a low-resource setting.

Methodology

A qualitative study design was used. The study was conducted at Makerere University, a low-resource setting. The study participants were third- and fifth-year medical students as well as lecturers. Purposive sampling was utilized to recruit participants. Data collection comprised six Focus Group Discussions with students and five Key Informant Interviews with lecturers. The qualitative data were analyzed by inductive thematic analysis.

Results

Three themes emerged from the study: ward placement, case presentation, and case assessment and feedback. The findings revealed that students conduct their long cases at patients’ bedside within specific wards/units assigned for the entire clerkship. Effective supervision, feedback, and marks were highlighted as crucial practices that positively impact the learning process. However, challenges such as insufficient orientation to the long case, the super-specialization of the hospital wards, pressure to hunt for marks, and inadequate feedback practices were identified.

Conclusion

The long case offers students exposure to real patients in a clinical setting. However, in tertiary care teaching hospitals, it’s crucial to ensure proper design and implementation of this practice to enable students’ exposure to a variety of cases. Adequate and effective supervision and feedback create valuable opportunities for each learner to present cases and receive corrections.
Development of machine learning models to predict perioperative blood transfusion in hip surgery
Authors: Zang Han , Hu Ai , Xu Xuanqi , Ren He , Xu Li
Published: June 2024

Background

Allogeneic Blood transfusion is common in hip surgery but is associated with increased morbidity. Accurate prediction of transfusion risk is necessary for minimizing blood product waste and preoperative decision-making. The study aimed to develop machine learning models for predicting perioperative blood transfusion in hip surgery and identify significant risk factors.

Methods

Data of patients undergoing hip surgery between January 2013 and October 2021 in the Peking Union Medical College Hospital were collected to train and test predictive models. The primary outcome was perioperative red blood cell (RBC) transfusion within 72 h of surgery. Fourteen machine learning algorithms were established to predict blood transfusion risk incorporating patient demographic characteristics, preoperative laboratory tests, and surgical information. Discrimination, calibration, and decision curve analysis were used to evaluate machine learning models. SHapley Additive exPlanations (SHAP) was performed to interpret models.

Results

In this study, 2431 hip surgeries were included. The Ridge Classifier performed the best with an AUC = 0.85 (95% CI, 0.81 to 0.88) and a Brier score = 0.21. Patient-related risk factors included lower preoperative hemoglobin, American Society of Anesthesiologists (ASA) Physical Status > 2, anemia, lower preoperative fibrinogen, and lower preoperative albumin. Surgery-related risk factors included longer operation time, total hip arthroplasty, and autotransfusion.

Conclusions

The machine learning model developed in this study achieved high predictive performance using available variables for perioperative blood transfusion in hip surgery. The predictors identified could be helpful for risk stratification, preoperative optimization, and outcomes improvement.
ARID1A loss promotes RNA editing of CDK13 in an ADAR1-dependent manner
Authors: Zhu Tianyu , Li Qian , Zhang Zhe , Shi Jiahao , Li Yongyun , Zhang Feng , Li Lingjie , Song Xin , Shen Jianfeng , Jia Renbing
Published: June 2024

Background

ARID1A, a subunit of the SWI/SNF chromatin remodeling complex, is thought to play a significant role both in tumor suppression and tumor initiation, which is highly dependent upon context. Previous studies have suggested that ARID1A deficiency may contribute to cancer development. The specific mechanisms of whether ARID1A loss affects tumorigenesis by RNA editing remain unclear.

Results

Our findings indicate that the deficiency of ARID1A leads to an increase in RNA editing levels and alterations in RNA editing categories mediated by adenosine deaminases acting on RNA 1 (ADAR1). ADAR1 edits the CDK13 gene at two previously unidentified sites, namely Q113R and K117R. Given the crucial role of CDK13 as a cyclin-dependent kinase, we further observed that ADAR1 deficiency results in changes in the cell cycle. Importantly, the sensitivity of ARID1A-deficient tumor cells to SR-4835, a CDK12/CDK13 inhibitor, suggests a promising therapeutic approach for individuals with ARID1A-mutant tumors. Knockdown of ADAR1 restored the sensitivity of ARID1A deficient cells to SR-4835 treatment.

Conclusions

ARID1A deficiency promotes RNA editing of CDK13 by regulating ADAR1.