bluuebunny/crossref_metadata_2025_split huggingface dataset:
Problematic meta-analyses: Bayesian and frequentist perspectives on combining randomized controlled trials and non-randomized studies
Authors: Moran John L. , Linden Ariel 
Published: April 2024

Abstract
Purpose
In the literature, the propriety of the meta-analytic treatment-effect produced by combining randomized controlled trials (RCT) and non-randomized studies (NRS) is questioned, given the inherent confounding in NRS that may bias the meta-analysis. The current study compared an implicitly principled pooled Bayesian meta-analytic treatment-effect with that of frequentist pooling of RCT and NRS to determine how well each approach handled the NRS bias.

Materials & methods
Binary outcome Critical-Care meta-analyses, reflecting the importance of such outcomes in Critical-Care practice, combining RCT and NRS were identified electronically. Bayesian pooled treatment-effect and 95% credible-intervals (BCrI), posterior model probabilities indicating model plausibility and Bayes-factors (BF) were estimated using an informative heavy-tailed heterogeneity prior (half-Cauchy). Preference for pooling of RCT and NRS was indicated for Bayes-factors > 3 or < 0.333 for the converse. All pooled frequentist treatment-effects and 95% confidence intervals (FCI) were re-estimated using the popular DerSimonian-Laird (DSL) random effects model.

Results
Fifty meta-analyses were identified (2009–2021), reporting pooled estimates in 44; 29 were pharmaceutical-therapeutic and 21 were non-pharmaceutical therapeutic. Re-computed pooled DSL FCI excluded the null (OR or RR = 1) in 86% (43/50). In 18 meta-analyses there was an agreement between FCI and BCrI in excluding the null. In 23 meta-analyses where FCI excluded the null, BCrI embraced the null. BF supported a pooled model in 27 meta-analyses and separate models in 4. The highest density of the posterior model probabilities for 0.333 < Bayes factor < 1 was 0.8.

Conclusions
In the current meta-analytic cohort, an integrated and multifaceted Bayesian approach gave support to including NRS in a pooled-estimate model. Conversely, caution should attend the reporting of naïve frequentist pooled, RCT and NRS, meta-analytic treatment effects.
Arrhythmia detection by the graph convolution network and a proposed structure for communication between cardiac leads
Authors: Andayeshgar Bahare , Abdali-Mohammadi Fardin , Sepahvand Majid , Almasi Afshin , Salari Nader 
Published: April 2024

AbstractOne of the most common causes of death worldwide is heart disease, including arrhythmia. Today, sciences such as artificial intelligence and medical statistics are looking for methods and models for correct and automatic diagnosis of cardiac arrhythmia. In pursuit of increasing the accuracy of automated methods, many studies have been conducted. However, in none of the previous articles, the relationship and structure between the heart leads have not been included in the model. It seems that the structure of ECG data can help develop the accuracy of arrhythmia detection. Therefore, in this study, a new structure of Electrocardiogram (ECG) data was introduced, and the Graph Convolution Network (GCN), which has the possibility of learning the structure, was used to develop the accuracy of cardiac arrhythmia diagnosis. Considering the relationship between the heart leads and clusters based on different ECG poles, a new structure was introduced. In this structure, the Mutual Information(MI) index was used to evaluate the relationship between the leads, and weight was given based on the poles of the leads. Weighted Mutual Information (WMI) matrices (new structure) were formed by R software. Finally, the 15-layer GCN network was adjusted by this structure and the arrhythmia of people was detected and classified by it. To evaluate the performance of the proposed new network, sensitivity, precision, specificity, accuracy, and confusion matrix indices were used. Also, the accuracy of GCN networks was compared by three different structures, including WMI, MI, and Identity. Chapman’s 12-lead ECG Dataset was used in this study. The results showed that the values of sensitivity, precision, specificity, and accuracy of the GCN-WMI network with 15 intermediate layers were equal to 98.74%, 99.08%, 99.97% & 99.82%, respectively. This new proposed network was more accurate than the Graph Convolution Network-Mutual Information (GCN-MI) with an accuracy equal to 99.71% and GCN-Id with an accuracy equal to 92.68%. Therefore, utilizing this network, the types of arrhythmia were recognized and classified. Also, the new network proposed by the Graph Convolution Network-Weighted Mutual Information (GCN-WMI) was more accurate than those conducted in other studies on the same data set (Chapman). Based on the obtained results, the structure proposed in this study increased the accuracy of cardiac arrhythmia diagnosis and classification on the Chapman data set. Achieving such accuracy for arrhythmia diagnosis is a great achievement in clinical sciences.
The short and long-term efficacy of nurse-led interventions for improving blood pressure control in people with hypertension in primary care settings: a systematic review and meta-analysis
Authors: Ito Masami , Tajika Aran , Toyomoto Rie , Imai Hissei , Sakata Masatsugu , Honda Yukiko , Kishimoto Sanae , Fukuda Memori , Horinouchi Noboru , Sahker Ethan , Furukawa Toshi A. 
Published: April 2024

Abstract
Background
Previous systematic reviews suggest that nurse-led interventions improve short-term blood pressure (BP) control for people with hypertension. However, the long-term effects, adverse events, and appropriate target BP level are unclear. This study aimed to evaluate the long-term efficacy and safety of nurse-led interventions.

Methods
We conducted a systematic review and meta-analysis. We searched the Cochrane Central Register of Controlled Trials, PubMed, and CINAHL, as well as three Japanese article databases, as relevant randomized controlled trials from the oldest possible to March 2021. This search was conducted on 17 April 2021. We did an update search on 17 October 2023. We included studies on adults aged 18 years or older with hypertension. The treatments of interest were community-based nurse-led BP control interventions in addition to primary physician-provided care as usual. The comparator was usual care only. Primary outcomes were long-term achievement of BP control goals and serious adverse events (range: 27 weeks to 3 years). Secondary outcomes were short-term achievement of BP control goals and serious adverse events (range: 4 to 26 weeks), change of systolic and diastolic BP from baseline, medication adherence, incidence of hypertensive complications, and total mortality.

Results
We included 35 studies. Nurse-led interventions improved long-term BP control (RR 1.10, 95%CI 1.03 to 1.18). However, no significant differences were found in the short-term effects of nurse-led intervention compared to usual care about BP targets. Little information on serious adverse events was available. There was no difference in mortality at both terms between the two groups. Establishing the appropriate target BP from the extant trials was impossible.

Conclusions
Nurse-led interventions may be more effective than usual care for achieving BP control at long-term follow-up. It is important to continue lifestyle modification for people with hypertension. We must pay attention to adverse events, and more studies examining appropriate BP targets are needed. Nurse-led care represents an important complement to primary physician-led usual care.
Evolution of public funding since primary care research was considered as a priority research domain in france
Authors: Scheer Jordan , Leroy Taylor , Guillo Sylvie , Tubach Florence , Rozès Antoine , Verga-Gérard Amandine , Guillemin Francis , Lapeyre-Mestre Maryse , Chapron Anthony 
Published: April 2024

Abstract
Purpose
Annually, the French Ministry of Health funds clinical research projects based on a national call for projects. Since 2013, the Ministry has prioritized funding of primary care. Projects selected for funding are made public without distinguishing the specific area of research. The objective of this study was to identify and describe the evolution of the primary care research projects funded by the Ministry of Health between 2013 and 2019.

Method
We reviewed all of the 1796 medical research projects funded between 2013 and 2019 and categorized projects as primary care projects by using a list of specific keywords. This list was established through two approaches: (1) selected by an expert committee, the RECaP primary care working group, and (2) using an automated textual analysis of published articles in the field. The keywords were used to screen the titles of the medical research projects funded. The abstracts (at www.clinicaltrials.gov) or details (from project leaders) were then analyzed by two independent reviewers to determine true primary care projects.

Results
Finally, 49 primary care projects were identified, representing 2.7% of all medical research projects funded, without any significant change over the period. These projects were predominantly interventional (69%), with a median number of patients expected per project of 902.

Conclusion
Despite the prioritization of primary care research in 2013 by the French ministry of health, the number and proportion of projects funded remains low, with no significant change over the years.

Trial registration
Not applicable.
Opening the black box of registration practice for self-harm and suicide attempts in emergency departments: a qualitative study
Authors: Jakobsen Sarah Grube , Andersen Pernille Tanggaard , Lauritsen Jens , Larsen Christina Petrea , Stenager Elsebeth , Christiansen Erik 
Published: April 2024

Abstract
Background
The World Health Organization has called for improved surveillance of self-harm and suicide attempts worldwide to benefit suicide prevention programs. International comparisons of registrations are lacking, however, and there is a need for systematically collected, high-quality data across countries. The current study investigated healthcare professionals’ perceptions of registration practices and their suggestions for ensuring high-quality registration of self-harm and suicide attempts.

Methods
Qualitative interviews (N = 20) were conducted among medical secretaries, medical doctors, nurses, and registration advisers from psychiatric and somatic emergency departments in all regions of Denmark between September 2022 and March 2023. Content analysis was performed using NVivo.

Results
Despite great efforts to standardize and assure the quality of registration in Denmark, almost all the healthcare professionals perceived registration practice as inconsistent and unreliable. Codes are often misclassified or unused due to insufficient time, non-standardized training, or insufficient information. The interview informants suggested that coding guidelines should be simplified and made more visible, alongside technical solutions in the electronic health record system.

Conclusion
The study findings resulted in eight overall recommendations for clinical practice that aim at improving the registration of patients presenting with self-harm or suicide attempts. This would be expected to help improve surveillance and prevention programs.
The feasibility of integrating a home telehealth model for older persons living with hemodialysis
Authors: Pungchompoo Wanicha , Parinyachitta Saowaros , Pungchompoo Sirirat , Udomkhwamsuk Warawan , Suwan Panadda 
Published: April 2024

Abstract
Background
In Thailand, there is a rapidly increasing population of older persons living with hemodialysis (OPLWH) for whom quality of life and clinical outcomes are their main focus. This study aims to assess the feasibility of an integrated home telehealth model on quality of life and laboratory parameters of OPLWH.

Methods
In this study, the second phase of a mixed methods exploratory sequential design was conducted using a repeated measures experimental design. Participants met the inclusion criteria, which included being an OPLWH at a single hemodialysis center of one hospital in Chiang Mai province, Thailand, during the experimental period between 1 April and 30 September 2018, and willing to participate in the study. The 54 participants were purposively selected and randomly assigned to receive either an intervention (n = 24) consisting of health education and health monitoring using a telehealth device (an iPad) and a web application, or usual care (n = 30). The instruments included a demographic data form, which was analyzed using the chi-square test. The health-related quality of life questionnaire (the 9-item Thai Health Status Assessment questionnaire) and blood chemistry (BUN, Cr, Hb, Hct, Alb, K, Kt/V, and nPCR) were compared and measured at baseline, and at 3 and 6 months after enrolment using independent t-test and one-way repeated measures ANOVA.

Results
The comparison of quality of life between the two groups at the two points of repeated measurement (after 3 months) showed a statistically significant difference in mental health scores at P < 0.05. Six months after the intervention, mean scores for health outcomes and patients’ quality of life improved; however, this change did not reach statistical significance.

Conclusions
An integrated home telehealth model implemented by a hemodialysis nurse is a feasible holistic care approach for OPLWH. However, the absence of statistical significance may partly be associated with the clinical characteristics of frailty and risk factors such as increased age, hypertension, diabetes, heart disease, longer dialysis time, and inadequacy of Kt/V. Large-scale multi-centre trials are warranted to fully examine the acceptability of the model. The duration and long-term effects of the telehealth model are also recommended for further investigation.

Patient or public contribution
The development of a home telehealth model was a collaborative process between patients, caregivers, healthcare professionals from the hemodialysis unit, and the research team.
Predicting preoperative muscle invasion status for bladder cancer using computed tomography-based radiomics nomogram
Authors: Zhang Rui , Jia Shijun , Zhai Linhan , Wu Feng , Zhang Shuang , Li Feng 
Published: April 2024

Abstract
Objectives
The aim of the study is to assess the efficacy of the established computed tomography (CT)-based radiomics nomogram combined with radiomics and clinical features for predicting muscle invasion status in bladder cancer (BCa).

Methods
A retrospective analysis was conducted using data from patients who underwent CT urography at our institution between May 2018 and April 2023 with urothelial carcinoma of the bladder confirmed by postoperative histology. There were 196 patients enrolled in all, and each was randomized at random to either the training cohort (n = 137) or the test cohort (n = 59). Eight hundred fifty-one radiomics features in all were retrieved. For feature selection, the significance test and least absolute shrinkage and selection operator (LASSO) approaches were utilized. Subsequently, the radiomics score (Radscore) was obtained by applying linear weighting based on the selected features. The clinical and radiomics model, as well as radiomics-clinical nomogram were all established using logistic regression. Three models were evaluated using analysis of the receiver operating characteristic curve. An area under the curve (AUC) and 95% confidence intervals (CI) as well as specificity, sensitivity, accuracy, negative predictive value, and positive predictive value were included in the analysis. Radiomics-clinical nomogram’s performance was assessed based on discrimination, calibration, and clinical utility.

Results
After obtaining 851 radiomics features, 12 features were ultimately selected. Histopathological grading and tortuous blood vessels were included in the clinical model. The Radscore and clinical histopathology grading were among the final predictors in the unique nomogram. The three models had an AUC of 0.811 (95% CI, 0.742–0.880), 0.845 (95% CI, 0.781–0.908), and 0.896 (95% CI, 0.846–0.947) in the training cohort and in the test cohort they were 0.808 (95% CI, 0.703–0.913), 0.847 (95% CI, 0.739–0.954), and 0.887 (95% CI, 0.803–0.971). According to the DeLong test, the radiomics-clinical nomogram’s AUC in the training cohort substantially differed from that of the clinical model (AUC: 0.896 versus 0.845, p = 0.015) and the radiomics model (AUC: 0.896 versus 0.811, p = 0.002). The Delong test in the test cohort revealed no significant difference among the three models.

Conclusions
CT-based radiomics-clinical nomogram can be a useful tool for quantitatively predicting the status of muscle invasion in BCa.
Intrathecal baclofen efficacy for managing motor function and spasticity severity in patients with cerebral palsy: a systematic review and meta-analysis
Authors: Masrour Mahdi , Zare Amir , Presedo Ana , Nabian Mohammad Hossein 
Published: April 2024

Abstract
Background
Spasticity can significantly affect a patient’s quality of life, caregiver satisfaction, and the financial burden on the healthcare system. Baclofen is one of only a few options for treating spasticity. The purpose of this study is to investigate the impact of intrathecal baclofen (ITB) therapy on severe40.23 spasticity and motor function in patients with cerebral palsy.

Methods
We conducted a systematic review in PubMed, Scopus, Ovid, and the Cochrane Library in accordance with the PRISMA guidelines. We included studies based on eligibility criteria that included desired participants (cerebral palsy patients with spasticity), interventions (intrathecal baclofen), and outcomes (the Ashworth scales and the Gross Motor Function Measure [GMFM]). The within-group Cohen’s d standardized mean differences (SMD) were analyzed using the random effect model.

Results
We screened 768 papers and included 19 in the severity of spasticity section and 6 in the motor function section. The pre-intervention average spasticity score (SD) was 3.2 (0.78), and the post-intervention average score (SD) was 1.9 (0.72), showing a 40.25% reduction. The SMD for spasticity reduction was − 1.7000 (95% CI [-2.1546; -1.2454], p-value < 0.0001), involving 343 patients with a weighted average age of 15.78 years and a weighted average baclofen dose of 289 µg/day. The SMD for the MAS and Ashworth Scale subgroups were − 1.7845 (95% CI [-2.8704; -0.6986]) and − 1.4837 (95% CI [-1.8585; -1.1088]), respectively. We found no relationship between the participants’ mean age, baclofen dose, measurement time, and the results. The pre-intervention average GMFM (SD) was 40.03 (26.01), and the post-intervention average score (SD) was 43.88 (26.18), showing a 9.62% increase. The SMD for motor function using GMFM was 0.1503 (95% CI [0.0784; 0.2223], p-value = 0.0030), involving 117 patients with a weighted average age of 13.63 and a weighted average baclofen dose of 203 µg/day. In 501 ITB implantations, 203 medical complications were reported, including six new-onset seizures (2.96% of medical complications), seven increased seizure frequency (3.45%), 33 infections (16.26%), eight meningitis (3.94%), and 16 cerebrospinal fluid leaks (7.88%). Delivery system complications, including 75 catheter and pump complications, were also reported.

Conclusion
Despite the risk of complications, ITB has a significant impact on the reduction of spasticity. A small but statistically significant improvement in motor function was also noted in a group of patients.
Establishment of a placental lncRNA-mRNA expression network for early-onset preeclampsia
Authors: Chen Ya , Zhang Ying , Xie Siyu , Zhou Xiangdong , Zhu Lina , Cao Yunxia 
Published: April 2024

Abstract
Background
This study aimed to establish a placental long non-coding RNA (lncRNA)-mRNA expression network for early-onset preeclampsia (early-onset PE).

Methods
The RNA sequencing data of the GSE14821 dataset were acquired. Several crucial lncRNAs and mRNAs were exerted based on the differential expression analysis of lncRNA and mRNA. By analyzing the differentially expressed lncRNA and mRNA, we constructed a regulatory network to explore the mechanism of the lncRNA in early onset preeclampsia.

Results
A total of 4436 differentially expressed lncRNAs (DElncRNAs) were identified in early-onset PE placenta samples compared with control placenta samples. Pearson correlation analysis revealed significant correlations between 3659 DElncRNAs and 372 DEmRNAs. KEGG analysis showed that the DEmRNAs were enriched in cytokine-cytokine receptor and hypoxia-inducible factor (HIF)-1 pathways. Several well-known early-onset PE-related mRNAs, such as vascular endothelial growth factor A (VEGFA) and VEGF receptor 1 (FLT1), were involved in the two pathways. Weighted gene co-expression network analysis and cis-regulatory analysis further suggested the involvement of the two pathways and potential DElncRNA-DEmRNA interactions in early-onset PE. Moreover, the upregulation of representative DElncRNAs, such as RP11-211G3.3 and RP11-65J21.3, and DEmRNAs, such as VEGFA and FLT1, were validated in clinical placenta samples from patients with early-onset PE by quantitative reverse transcription PCR. Importantly, overexpression of RP11-65J21.3 significantly promoted the proliferation of HTR-8 trophoblast cells at 72 h after transfection.

Conclusions
In conclusion, we identified placental DElncRNAs of early-onset PE and established a DElncRNA-DEmRNA network that was closely related to the cytokine-cytokine receptor and HIF-1 pathways. Our results provide potential diagnostic markers and therapeutic targets for early-onset PE management.
Association of the TRIM family protein with survival outcomes and clinicopathological features in colorectal cancer: a systematic review and meta-analysis
Authors: Wu Ying , Chen Chen , Hua Xian , Zhao Chunhua , Min Han 
Published: April 2024

Abstract
Background
The tripartite motif (TRIM) proteins have been reported to play crucial roles in various malignancies. However, the clinical significance of TRIM proteins in colorectal cancer (CRC) remains controversial. This study aimed to evaluate the association between TRIM proteins and the clinicopathological features and survival outcomes in patients with CRC.

Methods
We performed a meta-analysis to investigate whether TRIM is a prognostic factor in CRC. PubMed, Embase, Web of Science, CNKI and Weipu databases were searched to identify eligible studies that evaluated the association between TRIM proteins and overall survival (OS), as well as the clinicopathological features of patients with CRC. Hazard ratios (HR) or odds ratios (OR) with 95% confidence interval (CI) were derived and pooled using a fixed-effects model.

Results
From inception to March 2023, we extracted study characteristics and prognostic data for each identified study. Twelve studies enrolling 1608 patients were eligible for inclusion. Data on OS and recurrence-free survival (RFS) were available for 12 and 2 studies, respectively. The pooled analysis results showed a significant correlation between the elevated TRIM proteins and shorter OS (HR = 2.42, 95% CI: 1.96–2.99) and worse RFS (HR = 2.51, 95% CI: 1.78–3.54) in patients with CRC. The combined ORs indicated that TRIM protein over-expression was significantly associated with advanced TNM stage (OR = 2.26, 95% CI: 1.25–4.10), deep tumor invasion (OR = 2.01, 95% CI: 1.04–3.88), lymph node metastasis (OR = 2.99, 95% CI: 2.19–4.09) and perineural invasion (OR = 1.95, 95% CI: 1.18–3.23).

Conclusions
Our findings suggest that TRIM proteins can predict tumor progression and poor prognosis in CRC. Therefore, TRIM proteins may be promising therapeutic targets for patients with CRC.

Graphical Abstract