bluuebunny/crossref_metadata_2025_split huggingface dataset:
Machine learning models to predict end-stage kidney disease in chronic kidney disease stage 4
Authors: Takkavatakarn Kullaya , Oh Wonsuk , Cheng Ella , Nadkarni Girish N , Chan Lili 
Published: December 2023

Abstract
Introduction
End-stage kidney disease (ESKD) is associated with increased morbidity and mortality. Identifying patients with stage 4 CKD (CKD4) at risk of rapid progression to ESKD remains challenging. Accurate prediction of CKD4 progression can improve patient outcomes by improving advanced care planning and optimizing healthcare resource allocation.

Methods
We obtained electronic health record data from patients with CKD4 in a large health system between January 1, 2006, and December 31, 2016. We developed and validated four models, including Least Absolute Shrinkage and Selection Operator (LASSO) regression, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network (ANN), to predict ESKD at 3 years. We utilized area under the receiver operating characteristic curve (AUROC) to evaluate model performances and utilized Shapley additive explanation (SHAP) values and plots to define feature dependence of the best performance model.

Results
We included 3,160 patients with CKD4. ESKD was observed in 538 patients (21%). All approaches had similar AUROCs; ANN yielded the highest AUROC (0.77; 95%CI 0.75 to 0.79) and LASSO regression (0.77; 95%CI 0.75 to 0.79), followed by random forest (0.76; 95% CI 0.74 to 0.79), and XGBoost (0.76; 95% CI 0.74 to 0.78).

Conclusions
We developed and validated several models for near-term prediction of kidney failure in CKD4. ANN, random forest, and XGBoost demonstrated similar predictive performances. Using this suite of models, interventions can be customized based on risk, and population health and resources appropriately allocated.
Adenine model of chronic renal failure in rats to determine whether MCC950, an NLRP3 inflammasome inhibitor, is a renopreventive
Authors: Sabra Mahmoud S. , Hemida Fahmy K. , Allam Essmat A. H. 
Published: December 2023

Abstract
Background
Chronic renal failure (CRF) is defined by a significant decline in renal function that results in decreased salt filtration and inhibition of tubular reabsorption, which ultimately causes volume enlargement. This study evaluated the potential renopreventive effects of the NLRP3 inflammasome inhibitor MCC950 in adenine-induced CRF in rats due to conflicting evidence on the effects of MCC950 on the kidney.

Methods
Since the majority of the kidney tubular abnormalities identified in people with chronic renal disease are comparable to those caused by adding 0.75 percent of adenine powder to a rat's diet each day for four weeks, this method has received broad approval as a model for evaluating kidney damage. Throughout the test, blood pressure was checked weekly and at the beginning. Additionally, oxidative stress factors, urine sample examination, histological modifications, and immunohistochemical adjustments of caspase-3 and interleukin-1 beta (IL-1) levels in renal tissues were carried out.

Results
Results revealed that MCC950, an inhibitor of the NLRP3 inflammasome, had a renopreventive effect, which was demonstrated by a reduction in blood pressure readings and an improvement in urine, serum, and renal tissue indicators that indicate organ damage. This was also demonstrated by the decrease in neutrophil gelatinase-associated lipocalin tubular expression (NGAL).
The NLRP3 inflammasome inhibitor MCC950 was found to significantly alleviate the worsening renal cellular alterations evidenced by increased expression of caspase-3 and IL-1, according to immunohistochemical tests.

Conclusion
The NLRP3 inflammasome inhibitor MCC950 demonstrated renopreventive effects in the CRF rat model, suggesting that it might be used as a treatment strategy to stop the progression of CRF.
Learning curve of robotic-assisted splenic vessel-preserving spleen-preserving distal pancreatectomy by one single surgeon: a retrospective cohort study
Authors: Huang Xi-Tai , Xie Jin-Zhao , Cai Jian-Peng , Chen Wei , Chen Liu-Hua , Yin Xiao-Yu 
Published: December 2023

Abstract
Aim
Splenic vessel-preserving spleen-preserving distal pancreatectomy (SVP-SPDP) has a lower risk of splenic infarction than the splenicvessel-sacrificing SPDP, but it is more technically demanding. Learning curve of robotic-assisted SVP-SPDP (RSVP-SPDP) remains unreported. This study sought to analyze the perioperative outcomes and learning curve of RSVP-SPDP by one single surgeon.

Methods
Seventy-four patients who were intended to receive RSVP-SPDP at the First Affiliated Hospital of Sun Yat-sen University between May 2015 and January 2023 were included. The learning curve were retrospectively analyzed by using cumulative sum (CUSUM) analyses.

Results
Sixty-two patients underwent RSVP-SPDP (spleen preservation rate: 83.8%). According to CUSUM curve, the operation time (median, 318 vs. 220 min; P < 0.001) and intraoperative blood loss (median, 50 vs. 50 mL; P = 0.012) was improved significantly after 16 cases. Blood transfusion rate (12.5% vs. 3.4%; P = 0.202), postoperative major morbidity rate (6.3% vs. 3.4%; P = 0.524), and postoperative length-of-stay (median, 10 vs. 8 days; P = 0.120) improved after 16 cases but did not reach statistical difference. None of the patients had splenic infarction or abscess postoperatively.

Conclusion
RSVP-SPDP was a safe and feasible approach for selected patients after learning curve. The improvement of operation time and intraoperative blood loss was achieved after 16 cases.
Postoperative pain of single-visit endodontic treatment with gutta-percha versus MTA filling: a randomized superiority trial
Authors: Khabiri Masoud , Kamgar Sahel , Iranmanesh Pedram , Khademi Abbasali , Torabinejad Mahmoud 
Published: December 2023

Abstract
Background
Postoperative pain has remained a challenge for clinicians. This randomized superiority trial compared the levels of postoperative pain following the use of gutta-percha (GP) and sealer or mineral trioxide aggregate (MTA) as root canal filling materials in teeth with asymptomatic apical periodontitis.

Methods
A total of 119 patients were initially evaluated in this two-arm, parallel-group, single-blind, superiority randomized trial. The inclusion criteria were participants aged 18–65 years with single-canal premolars diagnosed with asymptomatic apical periodontitis. The participants were finally divided into two groups using the permuted block randomization method. In the GP group (N = 46), the cleaned and shaped root canals were filled with gutta-percha and AH Plus sealer, while in the MTA group (N = 48), the cleaned and shaped root canals were filled with an MTA apical filling and a coronal gutta-percha and sealer. Patient pain level was measured 6, 12, 24, 48, and 72 h postoperatively using a 10-point visual analog scale (VAS). The data were analyzed by the chi-square, independent t, Friedman, and Mann-Whitney U tests.

Results
The mean of VAS scores decreased significantly over time in both groups (P < 0.001). The mean VAS scores were significantly lower in the MTA filling group than in the other group (P < 0.05). Female patients reported higher VAS scores at 6- and 12-hour periods in both groups (P < 0.05).

Conclusion
MTA as a root canal filling material might be a valuable option for clinicians due to its low postoperative pain.

Trial registration
The trial protocol was registered at the Registry of Clinical Trials (IRCT20191104045331N1).
The NeoPACE study: study protocol for the development of a core outcome set for neonatal palliative care
Authors: Gallagher Katie , Chant Kathy , Mancini Alex , Bluebond-Langner Myra , Marlow Neil 
Published: December 2023

Abstract
Background
Neonatal death is the leading category of death in children under the age of 5 in the UK. Many babies die following decisions between parents and the neonatal team; when a baby is critically unwell, with the support of healthcare professionals, parents may make the decision to stop active treatment and focus on ensuring their baby has a ‘good’ death. There is very little evidence to support the clinical application of neonatal palliative care and/or end-of-life care, resulting in variation in clinical provision between neonatal units. Developing core outcomes for neonatal palliative care would enable the development of measures of good practice and enhance our care of families. The aim of this study is to develop a core outcome set with associated tools for measuring neonatal palliative care.

Method
This study has four phases: (1) identification of potential outcomes through systematic review and qualitative interviews with key stakeholders, including parents and healthcare professionals (2) an online Delphi process with key stakeholders to determine core outcomes (3) identification of outcome measures to support clinical application of outcome use (4) dissemination of the core outcome set for use across neonatal units in the UK. Key stakeholders include parents, healthcare professionals, and researchers with a background in neonatal palliative care.

Discussion
Developing a core outcome set will standardise minimum reported outcomes for future research and quality improvement projects designed to determine the effectiveness of interventions and clinical care during neonatal palliative and/or end-of-life care. The core outcome set will provide healthcare professionals working in neonatal palliative and/or end-of-life support with an increased and consistent evidence base to enhance practice in this area.

Trial registration
The study has been registered with the COMET initiative (https://www.comet-initiative.org/Studies/Details/1470) and the systematic review is registered with the International Prospective Register of Systematic Reviews (PROSPERO) (CRD42023451068).
Bilateral or unilateral tubo-ovarian abscess: exploring its clinical significance
Authors: Yagur Yael , Weitzner Omer , Shams Rebecca , Man-El Gili , Kadan Yfat , Daykan Yair , Klein Zvi , Schonman Ron 
Published: December 2023

Abstract
Objectives
To assess the characteristics of patients with unilateral and bilateral tubo-ovarian abscess (TOA).

Methods
Women diagnosed with TOA during 2003–2017 were included in this retrospective cohort study. TOA was diagnosed using sonography or computerized tomography and clinical criteria, or by surgical diagnosis. Demographics, sonographic data, clinical treatment, surgical treatment, and post-operative information were retrieved.

Results
The study cohort included 144 women who met the inclusion criteria, of whom 78 (54.2%) had unilateral TOA and 66 (45.8%) had bilateral TOA. Baseline characteristics were not different between the groups. There was a statistical trend that women with fewer events of previous PID were less likely to have with bilateral TOA (75.3% vs. 64.1%, respectively; p = 0.074). Women diagnosed with bilateral TOA were more likely to undergo surgical treratment for bilateral salpingo-oophorectomy compared to unilateral TOA (61.5% vs. 42.3%, respectively; p = 0.04). There was no difference in maximum TOA size between groups.

Conclusions
This study detected a trend toward increased need for surgical treatment in women diagnosed with bilateral TOA. These findings may contribute to determining the optimal medical or surgical treatment, potentially leading to a decrease in the duration of hospitalization, antibiotic exposure, and resistance. However, it is important to acknowledge that the results of the current study are limited, and further research is warranted to validate these potential outcomes.
Teaching point-of-care ultrasound using a serious game: a randomized controlled trial
Authors: Olgers Tycho , Rozendaal Jelle , van Weringh Sanne , van de Vliert Rachel , Laros Ranek , Bouma Hjalmar , ter Maaten Jan 
Published: December 2023

Abstract
Background
Point-of-care ultrasound (POCUS) is an important diagnostic tool for internists. However, there are important barriers in learning POCUS, including lack of practice time and lack of experts for supervision. Alternative learning tools may assist in overcoming these barriers. A serious game is being developed specifically for teaching ultrasound. In this study, we assessed the use of a serious game in learning POCUS.

Methods
Ultrasound-native medical students were randomly assigned to the intervention group (N = 27) or the control group (N = 26). Both groups performed a real ultrasound on a volunteer after a brief introduction, but the intervention group played a serious game in advance. The endpoints were the assessments of the videos by experts (scoring quality of the probe movements) and the research team (counting probe movements), and probe movements measured with an accelerometer.

Results
The intervention group completed the exam faster (247 s vs. 347 s, p = 0.006 (95% CI: [30.20;168.80]) and lifted the probe less frequently from the model (0.54 vs. 3.79, p = 0.001 (95% CI: [1.39;5.11]). Also, we found an in-game learning effect between levels, showing a 48% decrease in total playing time (p < 0.001), 36% reduction in attempts per coin (p = 0.007), a 33% reduction in total probe distance (p = 0.002), and a 61% decrease in contact moments (p < 0.001). However, there was no significant difference in expert score between the two groups.

Conclusion
The serious game ‘Underwater’ is a fun and useful addition to traditional bedside ultrasound learning, which also may overcome one of the most important barriers in learning ultrasound: lack of supervised practice time. We show that the game improves real-practice probe handling with faster and more goal-oriented probe movements.
GPRC5C regulates the composition of cilia in the olfactory system
Authors: Bhat Sneha , Dietz André , Senf Katja , Nietzsche Sandor , Hirabayashi Yoshio , Westermann Martin , Neuhaus Eva Maria 
Published: December 2023

Abstract
Background
Olfactory sensory neurons detect odourants via multiple long cilia that protrude from their dendritic endings. The G protein-coupled receptor GPRC5C was identified as part of the olfactory ciliary membrane proteome, but its function and localization is unknown.

Results
High-resolution confocal and electron microscopy revealed that GPRC5C is located at the base of sensory cilia in olfactory neurons, but not in primary cilia of immature neurons or stem cells. Additionally, GPRC5C localization in sensory cilia parallels cilia formation and follows the formation of the basal body. In closer examination, GPRC5C was found in the ciliary transition zone. GPRC5C deficiency altered the structure of sensory cilia and increased ciliary layer thickness. However, primary cilia were unaffected. Olfactory sensory neurons from Gprc5c-deficient mice exhibited altered localization of olfactory signalling cascade proteins, and of ciliary phosphatidylinositol-4,5-bisphosphat. Sensory neurons also exhibited increased neuronal activity as well as altered mitochondrial morphology, and knockout mice had an improved ability to detect food pellets based on smell.

Conclusions
Our study shows that GPRC5C regulates olfactory cilia composition and length, thereby controlling odour perception.
Self-collection of samples for group B streptococcus testing during pregnancy: a systematic review and meta-analysis
Authors: Borg Sarah A. , Cao Jenny , Nguyen Phi-Yen , Aziz Samia , Vogel Joshua P. 
Published: December 2023

Abstract
Background
Sample self-collection for reproductive tract infection diagnosis has been found to offer greater convenience, privacy, autonomy, and expanded access to testing in non-pregnant adults. This review aimed to determine whether sample self-collection is as accurate as provider-collection for detection of group B streptococcus colonisation in pregnancy and whether a strategy of self-collection compared to provider-collection might improve maternal and neonatal health outcomes.

Methods
We searched CINAHL Plus, Medline, EMBASE, Maternity and Infant Care Database, Cochrane Central Register of Controlled Trials, and Cochrane Database of Systematic Reviews in June 2022. Eligible studies compared self-collected and provider-collected samples taken from the same participants or participants randomised to either self-collection or provider-collection for reproductive tract infection testing using the same test and testing method in pregnant individuals. We included trials and observational studies. Reviewers assessed risk of bias using the QUADAS-2 checklist and independently extracted data. Sensitivity and specificity for group B streptococcus colonisation of self-collected compared to provider-collected samples were pooled using a bivariate, random-effects, meta-analytic model. This review was registered with PROSPERO (CRD42023396573).

Results
The search identified 5909 references, of which eleven diagnostic accuracy group B streptococcus studies were included (n = 3269 participants). No studies assessed the effects of self-collection in pregnancy on health outcomes. All studies had high or unclear risk of bias. Pooled sensitivities of self-collected samples for group B streptococcus detection were 82% (95% CI: 66–91%; I2 = 68.85%) in four trials (n = 1226) and 91% (95% CI: 83–96%; I2 = 37.38%) in seven non-randomised studies (n = 2043). Pooled specificities were 99% (95% CI: 98–99%; I2 = 12.08%) and 97% (95% CI: 94–99%; I2 = 72.50%), respectively.

Conclusions
Self-collected samples for group B streptococcus detection in pregnancy had high specificity compared to provider-collection, but lower sensitivity, particularly for included trials. Studies investigating the effect of self-collection on health outcomes, and further higher quality trials comparing accuracy of self-collection to provider-collection, are required.
Effects of physical activity and sedentary time on depression, anxiety and well-being: a bidirectional Mendelian randomisation study
Authors: Casanova Francesco , O’Loughlin Jessica , Karageorgiou Vasilis , Beaumont Robin N. , Bowden Jack , Wood Andrew R. , Tyrrell Jessica 
Published: December 2023

Abstract
Background
Mental health conditions represent one of the major groups of non-transmissible diseases. Physical activity (PA) and sedentary time (ST) have been shown to affect mental health outcomes in opposite directions. In this study, we use accelerometery-derived measures of PA and ST from the UK Biobank (UKB) and depression, anxiety and well-being data from the UKB mental health questionnaire as well as published summary statistics to explore the causal associations between these phenotypes.

Methods
We used MRlap to test if objectively measured PA and ST associate with mental health outcomes using UKB data and summary statistics from published genome-wide association studies. We also tested for bidirectional associations. We performed sex stratified as well as sensitivity analyses.

Results
Genetically instrumented higher PA was associated with lower odds of depression (OR = 0.92; 95% CI: 0.88, 0.97) and depression severity (beta =  − 0.11; 95% CI: − 0.18, − 0.04), Genetically instrumented higher ST was associated higher odds of anxiety (OR = 2.59; 95% CI: 1.10, 4.60). PA was associated with higher well-being (beta = 0.11, 95% CI: 0.04; 0.18) and ST with lower well-being (beta =  − 0.18; 95% CI: − 0.32, − 0.03). Similar findings were observed when stratifying by sex. There was evidence for a bidirectional relationship, with higher genetic liability to depression associated with lower PA (beta =  − 0.25, 95% CI: − 0.42; − 0.08) and higher well-being associated with higher PA (beta = 0.15; 95% CI: 0.05, 0.25).

Conclusions
We have demonstrated the bidirectional effects of both PA and ST on a range of mental health outcomes using objectively measured predictors and MR methods for causal inference. Our findings support a causal role for PA and ST in the development of mental health problems and in affecting well-being.
Clinical prediction models and the multiverse of madness
Authors: Riley Richard D. , Pate Alexander , Dhiman Paula , Archer Lucinda , Martin Glen P. , Collins Gary S. 
Published: December 2023

AbstractBackgroundEach year, thousands of clinical prediction models are developed to make predictions (e.g. estimated risk) to inform individual diagnosis and prognosis in healthcare. However, most are not reliable for use in clinical practice.Main bodyWe discuss how the creation of a prediction model (e.g. using regression or machine learning methods) is dependent on the sample and size of data used to develop it—were a different sample of the same size used from the same overarching population, the developed model could be very different even when the same model development methods are used. In other words, for each model created, there exists a multiverse of other potential models for that sample size and, crucially, an individual’s predicted value (e.g. estimated risk) may vary greatly across this multiverse. The more an individual’s prediction varies across the multiverse, the greater the instability. We show how small development datasets lead to more different models in the multiverse, often with vastly unstable individual predictions, and explain how this can be exposed by using bootstrapping and presenting instability plots. We recommend healthcare researchers seek to use large model development datasets to reduce instability concerns. This is especially important to ensure reliability across subgroups and improve model fairness in practice.ConclusionsInstability is concerning as an individual’s predicted value is used to guide their counselling, resource prioritisation, and clinical decision making. If different samples lead to different models with very different predictions for the same individual, then this should cast doubt into using a particular model for that individual. Therefore, visualising, quantifying and reporting the instability in individual-level predictions is essential when proposing a new model.
Early insulin resistance in normoglycemic low-risk individuals is associated with subclinical atherosclerosis
Authors: Iglesies-Grau Josep , Garcia-Alvarez Ana , Oliva Belén , Mendieta Guiomar , García-Lunar Inés , Fuster José J. , Devesa Ana , Pérez-Herreras Cristina , Fernández-Ortiz Antonio , Brugada Ramon , Ibanez Borja , Fernandez-Jimenez Rodrigo , Fuster Valentin 
Published: December 2023

Abstract
Background
Elevated glycated hemoglobin (HbA1c) is associated with a higher burden of subclinical atherosclerosis (SA). However, the association with SA of earlier insulin resistance markers is poorly understood. The study assessed the association between the homeostatic model assessment of insulin resistance index (HOMA-IR) and SA in addition to the effect of cardiovascular risk factors (CVRFs) in individuals with normal HbA1c.

Methods
A cohort of 3,741 middle-aged individuals from the Progression of Early Subclinical Atherosclerosis (PESA) study with basal HbA1c < 6.0% (< 42 mmol/mol) and no known CV disease underwent extensive imaging (multiterritorial vascular ultrasound and coronary artery calcium score, CACS) to assess the presence, burden, and extent of SA.

Results
Individuals with higher HOMA-IR values had higher rates of CVRFs. HOMA-IR showed a direct association with the multiterritorial extent of SA and CACS (p < 0.001) and with global plaque volume measured by 3-dimensional vascular ultrasound (p < 0.001). After adjusting for key CVRFs and HbA1c, HOMA-IR values ≥ 3 were associated with both the multiterritorial extent of SA (odds ratio 1.41; 95%CI: 1.01 to 1.95, p = 0.041) and CACS > 0 (odds ratio 1.74; 95%CI: 1.20 to 2.54, p = 0.004), as compared with the HOMA-IR < 2 (the reference HOMA-IR category). In a stratified analysis, this association remained significant in individuals with a low-to-moderate SCORE2 risk estimate (75.6% of the cohort) but not in high-risk individuals.

Conclusions
The use of HOMA-IR identified low-risk individuals with a higher burden of SA, after adjusting for the effects of key traditional CVRFs and HbA1c. HOMA-IR is a simple measure that could facilitate earlier implementation of primary CV prevention strategies in clinical practice.