bluuebunny/crossref_metadata_2025_split huggingface dataset:
Boosting inpatient exercise after hip fracture using an alternative workforce: a mixed methods implementation evaluation
Authors: March Marie K. , Dennis Sarah M. , Caruana Sarah , Mahony Christopher , Elliott James M. , Polley Stephanie , Thomas Bijoy , Lin Charlie , Harmer Alison R. 
Published: February 2024

Abstract
Background
Hip fracture has a devastating impact on individuals and is an increasing burden for health systems and society. Compared to usual care, increased physiotherapy provision has demonstrated efficacy in improving patient and health service outcomes in this population. However, physiotherapy workforce challenges prevent sustained implementation.

Methods
Our aim was to evaluate the safety, feasibility, acceptability, effectiveness and implementation cost of thrice daily physiotherapy for patients in the acute care setting after hip fracture at two public hospitals. We added twice-daily exercise implemented by an alternative workforce, to usual care consisting of daily mobility practice by a physiotherapist. Sites identified their preferred alternative workforce, with pre-registration physiotherapy students and allied health assistants chosen. We used a mixed methods approach, using the Consolidated Framework for Implementation Research (CFIR) as a determinant framework to guide implementation planning and data collection. We compared hospital length of stay data to a reference cohort.

Results
We recruited 25 patients during the study period. Acute care hospital length of stay decreased from 11 days in the reference cohort to 8 days in the BOOST cohort (mean difference − 3.3 days, 95%CI -5.4 to -1.2 days, p = 0.003). Intervention fidelity was 72% indicating feasibility, no safety concerns were attributed to the intervention, and uptake was 96% of all eligible patients. The intervention was acceptable to patients, carers and healthcare providers. This intervention was cost-effective from the acute orthopaedic service perspective.

Conclusion
Higher daily frequency of physiotherapy can be safely, feasibly and effectively implemented by an alternative workforce for patients in the acute care setting following hip fracture surgery.
Optimal resource allocation model for COVID-19: a systematic review and meta-analysis
Authors: Wang Yu-Yuan , Zhang Wei-Wen , Lu Ze-xi , Sun Jia-lin , Jing Ming-xia 
Published: February 2024

Abstract
Background
A lack of health resources is a common problem after the outbreak of infectious diseases, and resource optimization is an important means to solve the lack of prevention and control capacity caused by resource constraints. This study systematically evaluated the similarities and differences in the application of coronavirus disease (COVID-19) resource allocation models and analyzed the effects of different optimal resource allocations on epidemic control.

Methods
A systematic literature search was conducted of CNKI, WanFang, VIP, CBD, PubMed, Web of Science, Scopus and Embase for articles published from January 1, 2019, through November 23, 2023. Two reviewers independently evaluated the quality of the included studies, extracted and cross-checked the data. Moreover, publication bias and sensitivity analysis were evaluated.

Results
A total of 22 articles were included for systematic review; in the application of optimal allocation models, 59.09% of the studies used propagation dynamics models to simulate the allocation of various resources, and some scholars also used mathematical optimization functions (36.36%) and machine learning algorithms (31.82%) to solve the problem of resource allocation; the results of the systematic review show that differential equation modeling was more considered when testing resources optimization, the optimization function or machine learning algorithm were mostly used to optimize the bed resources; the meta-analysis results showed that the epidemic trend was obviously effectively controlled through the optimal allocation of resources, and the average control efficiency was 0.38(95%CI 0.25–0.51); Subgroup analysis revealed that the average control efficiency from high to low was health specialists 0.48(95%CI 0.37–0.59), vaccines 0.47(95%CI 0.11–0.82), testing 0.38(95%CI 0.19–0.57), personal protective equipment (PPE) 0.38(95%CI 0.06–0.70), beds 0.34(95%CI 0.14–0.53), medicines and equipment for treatment 0.32(95%CI 0.12–0.51); Funnel plots and Egger’s test showed no publication bias, and sensitivity analysis suggested robust results.

Conclusion
When the data are insufficient and the simulation time is short, the researchers mostly use the constructor for research; When the data are relatively sufficient and the simulation time is long, researchers choose differential equations or machine learning algorithms for research. In addition, our study showed that control efficiency is an important indicator to evaluate the effectiveness of epidemic prevention and control. Through the optimization of medical staff and vaccine allocation, greater prevention and control effects can be achieved.
Early blood pressure lowering therapy is associated with good functional outcome in patients with intracerebral hemorrhage
Authors: Lv Xinni , Liu Xueyun , Hu Zicheng , Deng Lan , Li Zuoqiao , Cheng Jing , Pu Mingjun , Li Qi 
Published: February 2024

Abstract
Background
The implementation of a care bundle might improve functional outcome for patients with intracerebral hemorrhage (ICH). However, the impact of anti-hypertensive treatment on ICH outcomes remains uncertain. Our objective is to examine whether early blood pressure (BP) lowering therapy within first 12 h is associated with good outcome in ICH patients.

Methods
We included acute ICH patients who had baseline computed tomography (CT) scans within 6 h after onset of symptoms between October 2013 and December 2021. Early BP reduction was defined as use of anti-hypertensive agents within 12 h after onset of symptom. The clinical characteristics were compared between patients who received early BP lowering therapy and those without. The associations between early BP lowering and good outcome and functional independence at 3 months were assessed by using multivariable logistic regression analyses.

Results
A total of 377 patients were finally included in this study for outcome analysis. Of those, 212 patients received early BP reduction within 12 h after ICH. A total of 251 (66.6%) patients had good outcome. After adjustment for age, admission systolic BP, admission GCS score, baseline hematoma volume, hematoma expansion, and presence of intraventricular hemorrhage, early BP lowering therapy was associated with functional independence (adjusted odd ratio:1.72, 95% confidence interval:1.03–2.87; P = 0.039) and good outcome (adjusted odd ratio: 2.02, 95% confidence interval:1.08–3.76; P = 0.027).

Conclusions
In ICH patients presenting within 6 h after symptom onset, early BP reduction within first 12 h is associated with good outcome and functional independence when compared to those who do not undergo such early intervention. Implementation of quality measures to ensure early BP reduction is crucial for management of ICH.
Glycosylation-related genes mediated prognostic signature contribute to prognostic prediction and treatment options in ovarian cancer: based on bulk and single‑cell RNA sequencing data
Authors: You Yue , Yang Qing 
Published: February 2024

Abstract
Background
Ovarian cancer (OC) is a complex disease with significant tumor heterogeneity with the worst prognosis and highest mortality among all gynecological cancers. Glycosylation is a specific post-translational modification that plays an important role in tumor progression, immune escape and metastatic spread. The aim of this work was to identify the major glycosylation-related genes (GRGs) in OC and construct an effective GRGs signature to predict prognosis and immunotherapy.

Methods
AUCell algorithm was used to identify glycosylation-related genes (GRGs) based on the scRNA-seq and bulk RNA-seq data. An effective GRGs signature was conducted using COX and LASSO regression algorithm. The texting dataset and clinical sample data were used to assessed the accuracy of GRGs signature. We evaluated the differences in immune cell infiltration, enrichment of immune checkpoints, immunotherapy response, and gene mutation status among different risk groups. Finally, RT-qPCR, Wound-healing assay, Transwell assay were performed to verify the effect of the CYBRD1 on OC.

Results
A total of 1187 GRGs were obtained and a GRGs signature including 16 genes was established. The OC patients were divided into high- and low- risk group based on the median riskscore and the patients in high-risk group have poor outcome. We also found that the patients in low-risk group have higher immune cell infiltration, enrichment of immune checkpoints and immunotherapy response. The results of laboratory test showed that CYBRD1 can promote the invasion, and migration of OC and is closely related to the poor prognosis of OC patients.

Conclusions
Our study established a GRGs signature consisting of 16 genes based on the scRNA-seq and bulk RNA-seq data, which provides a new perspective on the prognosis prediction and treatment strategy for OC.
Knowledge about glaucoma among adults in Africa: a systematic review
Authors: Yimam Wondwossen , Anbesaw Tamrat , Seid Muhammed , Kumar Prem , Wolie Hawa 
Published: February 2024

Abstract
Background
Africa is one of the continents with a substantial burden of glaucoma, where it is approximately twice as common as it is worldwide. If left untreated, glaucoma can cause blindness and permanent vision loss if it is not addressed promptly. Good knowledge is essential for preventing glaucoma’s irreversible blindness and ocular damage. However, no systematic review has been done to report the pooled percentage of adults in Africa who have good knowledge about glaucoma. This study aimed to estimate the level of knowledge about glaucoma in Africa and its determinants.

Methods
The study followed the PRISMA guidelines for systematic review. Seven electronic databases which include PubMed/MEDLINE, Web of Science, PROQUEST (PQDT), CINAHL (EBSCO), Google Scholar, African Journal Online, and WHO HINARI databases were searched from January 1, 2013, to July 31, 2023for studies conducted with a focus on the knowledge about glaucoma among adults in Africa. The quality of the final articles was assessed using the Joanna Briggs Institute quality assessment tool for cross-sectional studies.

Results
In the present systematic review, 2781 articles were initially identified and evaluated. Of these, eight studies that met the inclusion criteria were included in the final analysis. In this review, the proportion of knowledge about glaucoma among adults in Africa was low. Educational status, family history of glaucoma, occupation, being a male, and having a history of eye examination were the main determinants of good knowledge about glaucoma among adults in Africa.

Conclusion
The systematic review found that only a few had good knowledge about glaucoma. Education campaigns and eye exam promotions are recommended to enhance awareness.

Trail registration
This systematic review was registered on 30/07/2023 with PROSPERO ID: CRD42023430723.
Development and validation of a prospective study to predict the risk of readmission within 365 days of respiratory failure: based on a random survival forest algorithm combined with COX regression modeling
Authors: Liu Zhongxiang , Sun Zhixiao , Hu Hang , Yin Yuan , Zuo Bingqing 
Published: February 2024

Abstract
Background
There is a need to develop and validate a widely applicable nomogram for predicting readmission of respiratory failure patients within 365 days.

Methods
We recruited patients with respiratory failure at the First People’s Hospital of Yancheng and the People’s Hospital of Jiangsu. We used the least absolute shrinkage and selection operator regression to select significant features for multivariate Cox proportional hazard analysis. The Random Survival Forest algorithm was employed to construct a model for the variables that obtained a coefficient of 0 following LASSO regression, and subsequently determine the prediction score. Independent risk factors and the score were used to develop a multivariate COX regression for creating the line graph. We used the Harrell concordance index to quantify the predictive accuracy and the receiver operating characteristic curve to evaluate model performance. Additionally, we used decision curve analysiso assess clinical usefulness.

Results
The LASSO regression and multivariate Cox regression were used to screen hemoglobin, diabetes and pneumonia as risk variables combined with Score to develop a column chart model. The C index is 0.927 in the development queue, 0.924 in the internal validation queue, and 0.922 in the external validation queue. At the same time, the predictive model also showed excellent calibration and higher clinical value.

Conclusions
A nomogram predicting readmission of patients with respiratory failure within 365 days based on three independent risk factors and a jointly developed random survival forest algorithm has been developed and validated. This improves the accuracy of predicting patient readmission and provides practical information for individualized treatment decisions.
Efficacy of radiotherapy in combined treatment of hepatocellular carcinoma patients with portal vein tumor thrombus: a real-world study
Authors: Xiao Ying , Li Keren , Zhao Ying , Yang Shizhong , Yan Jun , Xiang Canhong , Zeng Jianping , Lu Qian , Zhang Chen , Li Gong , Li Guangxin , Dong Jiahong 
Published: February 2024

Abstract
Background and aims
Hepatocellular carcinoma (HCC) with portal vein tumor thrombus (PVTT) has an extremely poor prognosis. A previous study proved that low-dose radiotherapy (RT) could prolong the prognosis of HCC patients with PVTT. This study aims to explore the sensitivity of PVTT to RT treatment.

Methods
Patients were selected based on imaging diagnosis of HCC accompanied by PVTT and received combined treatment of radiotherapy, antiangiogenic drugs and immune checkpoint inhibitors, followed by hepatectomy or liver transplantation from January 2019 to August 2022. The efficacy was evaluated by Response Evaluation Criteria in Solid Tumors (RECIST) guidelines and pathological assessment. The sensitivity of tumor cells to the treatment was compared between the primary tumor (PT)and PVTT by analyzing their residual tumor and pathologic complete remission (PCR) incidence.

Results
Data from 14 patients were collected in the study. After combined treatment, the size of PVTT decreased more significantly than that of the primary tumor in the imaging study (p < 0.05). The residual cancer was significantly more restrictive than that of primary tumor in paired patients based on pathological measurement (p = 0.008). The PCR incidence of the primary tumor (21.42%) was significantly lower (p = 0.008) than that of PVTT in the pathologic study (78.57%).

Conclusion
PVTT is more sensitive to radiotherapy treatment than the primary tumor in patients with HCC. This combination therapy might be an effective option as a downstaging therapy for patients with HCC with PVTT.
Dietary amino acid patterns and cardiometabolic risk factors among subjects with obesity; a cross-sectional study
Authors: Abdi Fatemeh , Mohammadzadeh Milad , Abbasalizad-Farhangi Mahdieh 
Published: February 2024

Abstract
Background
The prevalence of obesity is a growing global public health concern. Certain dietary amino acids have been shown to have a potential therapeutic role in improving metabolic syndrome parameters and body composition in individuals with obesity. However, some amino acids have been linked to an increased risk of cardiometabolic disorders. This cross-sectional study aims to investigate the association between dietary amino acid patterns and cardiometabolic risk factors in individuals with obesity.

Methods
This cross-sectional study included 335 participants with obesity (57.9% males and 41.5% females) from Tabriz and Tehran, Iran. The participants were between the ages of 20–50, with a body mass index (BMI) of 30 kg/m2 or higher, and free from certain medical conditions. The study examined participants’ general characteristics, conducted anthropometric assessments, dietary assessments, and biochemical assessments. The study also used principal component analysis to identify amino acid intake patterns and determined the association between these patterns and cardiometabolic risk factors in individuals with obesity.

Results
Upon adjusting for potential confounders, the study found that individuals in the third tertiles of pattern 1 and 2 were more likely to have lower LDL levels (OR = 0.99 and 95% CI (0.98–0.99)) for both. Additionally, a significant decrease in total cholesterol was observed in the third tertiles of pattern 2 in model II (OR = 0.99, 95% CI (0.98–0.99)). These findings suggest a potential cardioprotective effect of these amino acid patterns in managing cardiometabolic risk factors in individuals with obesity.

Conclusions
This study found that two identified amino acid patterns were associated with lower serum LDL and total cholesterol levels, while a third pattern was associated with higher serum triglycerides. The specific amino acids contributing to these patterns highlight the importance of targeted dietary interventions in managing cardiometabolic risk factors in individuals with obesity.
Examining birth preparedness and complication readiness: a systematic review and meta-analysis of pregnant and recently delivered women in India
Authors: Singh Tanya , Tripathy Brajaraj , Pandey Anuj Kumar , Gautam Diksha , Mishra Sidharth Sekhar 
Published: February 2024

Abstract
Background
Birth preparedness and complication readiness (BPCR) is an essential component of safe motherhood programs. This study aims to systematically identify and synthesize available evidence on birth preparedness and complication readiness among pregnant and recently delivered women in India.

Methods
The study followed PRISMA guidelines and used databases such as PubMed, Cochrane Library, and ProQuest. Joanna Briggs Institute [JBI] Tool was used for critical appraisal of studies. The meta-analysis was conducted using Comprehensive Meta-Analysis [CMA] tool and R studio software. Statistical heterogeneity was evaluated using visual inspection of the forest plot, Cochran’s Q test, and the I2 statistic results. Funnel plot and Egger’s tests were applied to explore the possibility of the publication bias in the studies [PROSPERO: CRD42023396109].

Result
Thirty-five cross-sectional studies reported knowledge on one or more components of birth preparedness [BP], whilst knowledge on complication readiness [CR] or danger signs was reported in 34 included studies. Utilizing the random effect model, the pooled result showed that only about half of the women [49%; 95% CI: 44%, 53%] were aware on BPCR components. This result ranged between 15% [95% CI: 12%, 19%] to 79% [95% CI: 72%, 84%] in Maharashtra and Karnataka respectively [I2 = 94%, p = < 0.01]. High heterogeneity [> 90%] is observed across all components [p < 0.01]. The result of subgroup analysis indicated no significant difference in the proportion on BPCR among pregnant women [50%; 95% CI: 45%, 55%] and recently delivered women [54%; 95% CI: 46%, 62%]. However, the southern region of India indicates relatively better [56%; 95% CI: 45%, 67%] prevalence.

Conclusion
Our study highlights the low prevalence of BPCR in India and the factors associated with it. Scaling up cost-effective interventions like BPCR that have a positive overall effect is necessary. Authors strongly suggests that birth preparedness and complication readiness should be given utmost importance to reduce maternal morbidity and mortality to achieve the Sustainable Development Goals. Consideration should be given to fortifying existing resources, such as frontline workers and primary healthcare, as a strategic approach to augmenting the effectiveness of awareness initiatives.
Characterizing the limitations of using diagnosis codes in the context of machine learning for healthcare
Authors: Guo Lin Lawrence , Morse Keith E. , Aftandilian Catherine , Steinberg Ethan , Fries Jason , Posada Jose , Fleming Scott Lanyon , Lemmon Joshua , Jessa Karim , Shah Nigam , Sung Lillian 
Published: February 2024

Abstract
Background
Diagnostic codes are commonly used as inputs for clinical prediction models, to create labels for prediction tasks, and to identify cohorts for multicenter network studies. However, the coverage rates of diagnostic codes and their variability across institutions are underexplored. The primary objective was to describe lab- and diagnosis-based labels for 7 selected outcomes at three institutions. Secondary objectives were to describe agreement, sensitivity, and specificity of diagnosis-based labels against lab-based labels.

Methods
This study included three cohorts: SickKids from The Hospital for Sick Children, and StanfordPeds and StanfordAdults from Stanford Medicine. We included seven clinical outcomes with lab-based definitions: acute kidney injury, hyperkalemia, hypoglycemia, hyponatremia, anemia, neutropenia and thrombocytopenia. For each outcome, we created four lab-based labels (abnormal, mild, moderate and severe) based on test result and one diagnosis-based label. Proportion of admissions with a positive label were presented for each outcome stratified by cohort. Using lab-based labels as the gold standard, agreement using Cohen’s Kappa, sensitivity and specificity were calculated for each lab-based severity level.

Results
The number of admissions included were: SickKids (n = 59,298), StanfordPeds (n = 24,639) and StanfordAdults (n = 159,985). The proportion of admissions with a positive diagnosis-based label was significantly higher for StanfordPeds compared to SickKids across all outcomes, with odds ratio (99.9% confidence interval) for abnormal diagnosis-based label ranging from 2.2 (1.7–2.7) for neutropenia to 18.4 (10.1–33.4) for hyperkalemia. Lab-based labels were more similar by institution. When using lab-based labels as the gold standard, Cohen’s Kappa and sensitivity were lower at SickKids for all severity levels compared to StanfordPeds.

Conclusions
Across multiple outcomes, diagnosis codes were consistently different between the two pediatric institutions. This difference was not explained by differences in test results. These results may have implications for machine learning model development and deployment.
A human stomach cell type transcriptome atlas
Authors: Öling S. , Struck E. , Noreen-Thorsen M. , Zwahlen M. , von Feilitzen K. , Odeberg J. , Pontén F. , Lindskog C. , Uhlén M. , Dusart P. , Butler L. M. 
Published: February 2024

Abstract
Background
The identification of cell type-specific genes and their modification under different conditions is central to our understanding of human health and disease. The stomach, a hollow organ in the upper gastrointestinal tract, provides an acidic environment that contributes to microbial defence and facilitates the activity of secreted digestive enzymes to process food and nutrients into chyme. In contrast to other sections of the gastrointestinal tract, detailed descriptions of cell type gene enrichment profiles in the stomach are absent from the major single-cell sequencing-based atlases.

Results
Here, we use an integrative correlation analysis method to predict human stomach cell type transcriptome signatures using unfractionated stomach RNAseq data from 359 individuals. We profile parietal, chief, gastric mucous, gastric enteroendocrine, mitotic, endothelial, fibroblast, macrophage, neutrophil, T-cell, and plasma cells, identifying over 1600 cell type-enriched genes.

Conclusions
We uncover the cell type expression profile of several non-coding genes strongly associated with the progression of gastric cancer and, using a sex-based subset analysis, uncover a panel of male-only chief cell-enriched genes. This study provides a roadmap to further understand human stomach biology.