bluuebunny/crossref_metadata_2025_split huggingface dataset:
Algorithm Versus Expert: Machine Learning Versus Surgeon-Predicted Symptom Improvement After Carpal Tunnel Release
Authors: Loos Nina Louisa , Hoogendam Lisa , Souer John Sebastiaan , van Uchelen Jeroen Hein , Slijper Harm Pieter , Wouters Robbert Maarten , Selles Ruud Willem 
Published: February 2024

BACKGROUND AND OBJECTIVES:
Surgeons rely on clinical experience when making predictions about treatment effects. Incorporating algorithm-based predictions of symptom improvement after carpal tunnel release (CTR) could support medical decision-making. However, these algorithm-based predictions need to outperform predictions made by surgeons to add value. We compared predictions of a validated prediction model for symptom improvement after CTR with predictions made by surgeons.

METHODS:
This cohort study included 97 patients scheduled for CTR. Preoperatively, surgeons estimated each patient's probability of improvement 6 months after surgery, defined as reaching the minimally clinically important difference on the Boston Carpal Tunnel Syndrome Symptom Severity Score. We assessed model and surgeon performance using calibration (calibration belts), discrimination (area under the curve [AUC]), sensitivity, and specificity. In addition, we assessed the net benefit of decision-making based on the prediction model's estimates vs the surgeon's judgement.

RESULTS:
The surgeon predictions had poor calibration and suboptimal discrimination (AUC 0.62, 95%-CI 0.49-0.74), while the prediction model showed good calibration and appropriate discrimination (AUC 0.77, 95%-CI 0.66-0.89, P = .05). The accuracy of surgeon predictions was 0.65 (95%-CI 0.37-0.78) vs 0.78 (95%-CI 0.67-0.89) for the prediction model (P = .03). The sensitivity of surgeon predictions and the prediction model was 0.72 (95%-CI 0.15-0.96) and 0.85 (95%-CI 0.62-0.97), respectively (P = .04). The specificity of the surgeon predictions was similar to the model's specificity (P = .25). The net benefit analysis showed better decision-making based on the prediction model compared with the surgeons' decision-making (ie, more correctly predicted improvements and/or fewer incorrectly predicted improvements).

CONCLUSION:
The prediction model outperformed surgeon predictions of improvement after CTR in terms of calibration, accuracy, and sensitivity. Furthermore, the net benefit analysis indicated that using the prediction model instead of relying solely on surgeon decision-making increases the number of patients who will improve after CTR, without increasing the number of unnecessary surgeries.
Grainyhead-like 2 interacts with noggin to regulate tissue fusion in mouse
Authors: de Vries Michael E. , Carpinelli Marina R. , Fuller Jarrad N. , Sutton Yindi , Partridge Darren D. , Auden Alana , Anderson Peter J. , Jane Stephen M. , Dworkin Sebastian 
Published: February 2024

ABSTRACT
Defective tissue fusion during mammalian embryogenesis results in congenital anomalies, such as exencephaly, spina bifida and cleft lip and/or palate. The highly conserved transcription factor grainyhead-like 2 (Grhl2) is a crucial regulator of tissue fusion, with mouse models lacking GRHL2 function presenting with a fully penetrant open cranial neural tube, facial and abdominal clefting (abdominoschisis), and an open posterior neuropore. Here, we show that GRHL2 interacts with the soluble morphogen protein and bone morphogenetic protein (BMP) inhibitor noggin (NOG) to impact tissue fusion during development. The maxillary prominence epithelium in embryos lacking Grhl2 shows substantial morphological abnormalities and significant upregulation of NOG expression, together with aberrantly distributed pSMAD5-positive cells within the neural crest cell-derived maxillary prominence mesenchyme, indicative of disrupted BMP signalling. Reducing this elevated NOG expression (by generating Grhl2−/−;Nog+/− embryos) results in delayed embryonic lethality, partial tissue fusion rescue, and restoration of tissue form within the craniofacial epithelia. These data suggest that aberrant epithelial maintenance, partially regulated by noggin-mediated regulation of BMP-SMAD pathways, may underpin tissue fusion defects in Grhl2−/− mice.
Validity of Xiphophorus fish as models for human disease
Authors: Schartl Manfred , Lu Yuan 
Published: February 2024

ABSTRACT
Platyfish and swordtails of the genus Xiphophorus provide a well-established model for melanoma research and have become well known for this feature. Recently, modelling approaches for other human diseases in Xiphophorus have been developed or are emerging. This Review provides a comprehensive summary of these models and discusses how findings from basic biological and molecular studies and their translation to medical research demonstrate that Xiphophorus models have face, construct and predictive validity for studying a broad array of human diseases. These models can thus improve our understanding of disease mechanisms to benefit patients.
Cycling temperature treatments affect estimates of digestive performance in prairie lizards (Sceloporus consobrinus)
Authors: Litmer Allison R. , Beaupre Steven J. 
Published: February 2024

ABSTRACT
In nature, many organisms experience a daily range of body temperatures. Thermal performance at stable temperatures is often extrapolated to predict function in cyclical environments. However, temperature order and cyclicity may influence physiological processes. The current study compared energy intake, digestive passage time and energy budgets at a stable temperature (33°C) and two temperature cycles in lizards (Sceloporus consobrinus), to determine (1) whether stable treatments adequately project performance in a cycling environment and (2) whether temperature order influences performance. Cycles had a mean temperature of 33°C, and rotated through 30°C, 33°C and 36°C daily, with equal durations of time at each temperature but differing temperature order, with warm days and cool nights in cycle 1 and cool days and warm nights in cycle 2. For analyses, performance in the stable treatment was compared with that during cycles. If temperature is the primary factor regulating performance, then performance from the stable treatment and cycles should compare favorably. However, physiological performance varied based on temperature treatment. Energy intake and budgets were similar between the stable trial and cycle 1 but not cycle 2. However, passage time did not differ. Notably, the two cycling regimes consistently varied in performance, indicating that temperature order plays a primary role in regulating performance. Physiological data collection requires careful consideration of effects of cycling versus stable temperature treatments. Stable temperatures do not consistently represent performance in cycling regimes and consideration should be paid not only to which temperatures animals experience but also to how temperature is experienced in nature.
Does the intercondylar approach provide a better outcome for chondroblastoma of the distal femur in skeletally immature patients?
Authors: Jamshidi Khodamorad , Kargar Shooroki Khalil , Ammar Wael , Mirzaei Alireza 
Published: February 2024

AimsThe epiphyseal approach to a chondroblastoma of the intercondylar notch of a child’s distal femur does not provide adequate exposure, thereby necessitating the removal of a substantial amount of unaffected bone to expose the lesion. In this study, we compared the functional outcomes, local recurrence, and surgical complications of treating a chondroblastoma of the distal femoral epiphysis by either an intercondylar or an epiphyseal approach.MethodsA total of 30 children with a chondroblastoma of the distal femur who had been treated by intraregional curettage and bone grafting were retrospectively reviewed. An intercondylar approach was used in 16 patients (group A) and an epiphyseal approach in 14 (group B). Limb function was assessed using the Musculoskeletal Tumor Society (MSTS) scoring system and Sailhan’s functional criteria.ResultsAt final follow-up, the mean MSTS score was 29.1 (SD 0.9) in group A and 26.7 (SD 1.5) in group B (p = 0.006). According to Sailhan’s criteria, the knee function was good and fair in 14 (87.5%) and two (12.5%) patients of group A, and eight (57.1%) and six (42.9%) patients of group B, respectively (p = 0.062). The lesion had recurred in one patient (6.2%) in group A and four patients (28.6%) in group B. Limb shortening > 1 cm was recorded in one patient (6.2%) from group A and six patients (42.8%) from group B. Joint degeneration was noted in one patient from group A and three patients from group B.ConclusionAn intercondylar approach to a chondroblastoma of the middle two-quarters of the distal femoral epiphysis results in better outcomes than a medial or lateral epiphyseal approach: specifically, better limb function, a lower rate of recurrence, and a lower rate of physeal damage and joint degeneration.Cite this article: Bone Joint J 2024;106-B(2):195–202.
Predicted Contribution of Snowmelt to Subsurface Drainage Discharge in Two Subsurface-Drained Fields in Southern Quebec and Ontario
Authors: Li Ziwei , Qi Zhiming , Madramootoo Chandra A. , Zhang Tiequan 
Published: February 2024

Highlights

RZ-SHAW model delivered a satisfactory simulation for winter subsurface drainage discharge.

Snowmelt dominated the drainage discharge during the winter and spring snowmelt seasons in southern Quebec.

Snowmelt contributed to 29% and 18% of winter and annual drainage discharge, respectively, in southern Ontario.

Abstract. Late winter/early spring has been recognized as a critical period for subsurface drainage discharge and associated nutrient losses due to snowmelt and rainfall in croplands under cold, humid climates in North America and Europe. Although the detachment and transport processes of soil particles under snowmelt and rainfall are known to be different, studies quantifying the contribution of snowmelt to winter drainage discharge are limited. This study aims to investigate the contribution of snowmelt to subsurface drainage discharge at two winterized experimental sites in southern Quebec and Ontario, Canada, using observed data and the Root Zone Water Quality Model-Simultaneous Heat and Water model (RZ-SHAW model). The RZ-SHAW model was calibrated and validated against the measured snow depth and year-round subsurface drainage discharge data from 2021 to 2023 at St. Emmanuel, Quebec, and from 2000 to 2003 at Harrow, Ontario. RZ-SHAW demonstrated satisfactory Nash-Sutcliffe model efficiency values (NSE = 0.50) for simulating snow depth, soil temperature, and winter subsurface drainage discharge. The calibrated RZ-SHAW model was used to simulate the contribution of snowmelt to subsurface drainage for the two sites from 1990 to 2022. The snowmelt was predicted to contribute 55% and 44% of the winter and annual subsurface drainage discharge for the cropland in Southern Quebec. In contrast, for the southern Ontario site, the contribution of snowmelt to winter and annual subsurface drainage discharge was 29% and 18%, respectively. Considering that snowmelt in Southern Quebec contributed a significant fraction of winter and annual subsurface drainage discharge, more attention should be devoted to adapting and developing new winter management for nutrient loss in future research in the region. Keywords: Cold region, Cropland drainage, Drainage partition, RZ-SHAW, RZWQM2, Snowmelt, Soil freeze and thaw, Winter subsurface drainage.
Model and data-centric machine learning algorithms to address data scarcity for failure identification
Authors: Khan Lareb Zar , Pedro João , Costa Nelson , Sgambelluri Andrea , Napoli Antonio , Sambo Nicola 
Published: February 2024

The uneven occurrence of certain types of failures in optical networks results in a scarcity of data for less frequent failures, leading to imbalanced datasets for training machine learning (ML) models. This poses a significant bottleneck in terms of reliability and practical implementation of ML for failure management. Existing research works often overlook this aspect while demonstrating high accuracies by utilizing sufficiently balanced training datasets collected in controlled laboratory setups and simulations. However, this approach does not reflect a realistic network scenario. To address this issue, different model-centric and data-centric approaches have been investigated in this work to determine their potential for improving the learning of ML models, specifically neural networks (NNs), on less frequent failures with such imbalanced training datasets. For failure identification, the obtained results suggest that data-centric approaches tend to perform better in terms of classification accuracy, with an improvement of up to 5.5% in F1-score observed on less frequent failures compared to a baseline NN (i.e., without any model-centric or data-centric treatment). However, some data-centric approaches may also have significant additional computational complexity associated with them, and, therefore, a suitable approach should be chosen based on the desired classification performance and available computational resources.
Feasibility of post-exposure-prophylaxis with single-dose rifampicin and identification of high prevalent clusters in villages’ hyperendemic for leprosy in Senegal
Authors: Batista Gilbert , Dioussé Pauline , Diagne Papa Mamadou , Cissé Mahamat , Tamba Ibrahima Tito , Diop Fatou , Diop Fanta , Fall Lahla , Sakho Diama , Bammo Mariama , Guèye Ndiaga , Kasang Christa , Ortuño-Gutiérrez Nimer , Zoubi Louis Hyacinthe , Diop Madoky Magatte 
Published: February 2024

Introduction
Senegal is a leprosy low-endemic country with nine villages known to be hyperendemic with a leprosy incidence rate above 1,000 per million inhabitants. We aim to implement a door-to-door screening strategy associated with the administration of a single-dose-rifampicin (SDR) as post-exposure prophylaxis (PEP) to household and social contacts in these villages and to identify spatial clustering and assess the risk of leprosy in population according to the physical distance to the nearest index-case.

Methods
From October/2020 to February/2022 active door-to-door screening for leprosy was conducted in nine villages. Using an open-source application, we recorded screening results, demographic and geographic coordinate’s data. Using Poisson model we analysed clustering and estimated risk of contracting leprosy in contacts according to the distance to the nearest new leprosy patient.

Results
In nine villages, among 9086 contacts listed, we examined 7115. Among 6554 eligible contacts, 97.8% took SDR. We found 39(0.64%) new leprosy cases among 6,124 examined in six villages. Among new cases, 21(53.8%) were children, 10(25.6%) were multibacillary and 05(12.8%) had grade 2 disability. The prevalent risk ratio and 95% confidence intervale(95%CI) adjusted by village were 4.2(95%CI 1.7–10.1), 0.97(95%CI 0.2–4.4), 0.87(95%CI 0.2–25), 0.89(95%CI 0.3–2.6) and 0.70(95%CI 0.2–2.5) for the contacts living in the same household of an index case, 1-25m, 26-50m, 51-75m and 76-100m compared to those living at more than 100m respectively. We identified nine high prevalent clusters including 27/39(69%) of new cases in 490/7,850(6%) inhabitants, with relative risks of 46.6(p-value = 0.01), and 7.3, 42.8, 8.2, 12.5, 11.4, 23.5, 22.3, and 14.6 (non-significant p-values).

Conclusions
Our strategy has proved the feasibility of active screening for leprosy in contacts and the introduction of PEP for leprosy under programmatic conditions. Only individuals living in the same household as the leprosy patient had a significant risk of contracting leprosy. We documented nine clusters of leprosy that could benefit from tailored control activities while optimizing resources.
Community support for injured patients: A scoping review and narrative synthesis
Authors: Jhunjhunwala Rashi , Jayaram Anusha , Mita Carol , Davies Justine , Chu Kathryn 
Published: February 2024

Background
Community-based peer support (CBPS) groups have been effective in facilitating access to and retention in the healthcare system for patients with HIV/AIDS, cancer, diabetes, and other communicable and non-communicable diseases. Given the high incidence of morbidity that results from traumatic injuries, and the barriers to reaching and accessing care for injured patients, community-based support groups may prove to be similarly effective in this population.

Objectives
The objective of this review is to identify the extent and impact of CBPS for injured patients.

Eligibility
We included primary research on studies that evaluated peer-support groups that were solely based in the community. Hospital-based or healthcare-professional led groups were excluded.

Evidence
Sources were identified from a systematic search of Medline / PubMed, CINAHL, and Web of Science Core Collection.

Charting methods
We utilized a narrative synthesis approach to data analysis.

Results
4,989 references were retrieved; 25 were included in final data extraction. There was a variety of methodologies represented and the groups included patients with spinal cord injury (N = 2), traumatic brain or head injury (N = 7), burns (N = 4), intimate partner violence (IPV) (N = 5), mixed injuries (N = 5), torture (N = 1), and brachial plexus injury (N = 1). Multiple benefits were reported by support group participants; categorized as social, emotional, logistical, or educational benefits.

Conclusions
Community-based peer support groups can provide education, community, and may have implications for retention in care for injured patients.
Examining the implementation of a community paediatric clinic in a socially disadvantaged Irish community: A retrospective process evaluation
Authors: Buckley Lynn , Gibson Louise , Harford Katherine , Cornally Nicola , Curtin Margaret 
Published: February 2024

Background
Understanding interventions and their implementation is essential for improving community initiatives. Kidscope is a community paediatric development clinic providing free health and developmental assessment and onward referral for children aged zero to six years in an urban area of southern Ireland where many children experience complex needs. Established in 2010, Kidscope developed an inter-disciplinary, multi-agency community team by drawing on the strengths of local services and practitioners to deliver holistic approaches to child health and development. Recent studies examining stakeholder engagement and Kidscope outcomes highlighted the need to examine implementation to better understand the processes and mechanisms of the clinic and how events have affected outcomes.

Methods
Guided by the UK Medical Research Council Framework for Developing and Evaluating Complex Interventions, this study used a post-hoc qualitative process evaluation study design with multiple data sources; stakeholder perspectives (interviews, focus group, questionnaires) and document analysis (annual reports, meeting minutes, work plans). A diverse set of research questions were developed in conjunction with a Patient and Public Involvement Group. Guiding frameworks supported thematic analysis of primary data, document analysis of secondary data, and triangulation of findings across datasets.

Results
Data analysis yielded 17 themes and 18 sub-themes. Successful implementation hinged on developing a coalition of linked practitioners and services whose skills were utilised and enhanced within Kidscope to deliver a high-quality healthcare model to vulnerable children and families. Relational and multi-disciplinary working, innovative approaches to implementation and sustainability, training and education provision, and the accessible community location were among the mechanisms of change resulting in improved child, family, practitioner, and system-level outcomes. External factors such as COVID-19 and deficits in Ireland’s disability services posed significant barriers to fidelity.

Conclusion
This study provides evidence of the processes, mechanisms, and model of care employed by a community-based paediatric clinic to successfully engage society’s most vulnerable families and promote health equity. This study makes an important contribution to the field of implementation research by offering an example of a robust approach to conceptualising and measuring implementation outcomes of community healthcare initiative in a changing, real-world context.
How do paediatric physical therapists teach motor skills to children with Developmental Coordination Disorder? An interview study
Authors: van der Veer Ingrid P. A. , Rameckers Eugene A. A. , Steenbergen Bert , Bastiaenen Caroline H. G. , Klingels Katrijn 
Published: February 2024

Background
When teaching motor skills, paediatric physical therapists (PPTs) use various motor learning strategies (MLSs), adapting these to suit the individual child and the task being practised. Knowledge about the clinical decision-making process of PPTs in choosing and adapting MLSs when treating children with Developmental Coordination Disorder (DCD) is currently lacking. Therefore, this qualitative study aimed to explore PPTs’ use of MLSs when teaching motor skills to children with DCD.

Methods
Semi-structured individual and group interviews were conducted with PPTs with a wide range of experience in treating children with DCD. A conventional content analysis approach was used where all transcripts were open-coded by two reviewers independently. Categories and themes were discussed within the research group. Data were collected until saturation was reached.

Results
Twenty-six PPTs (median age: 49 years; range: 26–66) participated in 12 individual interviews and two focus-group interviews. Six themes were identified: (1) PPTs treated children in a tailor-made way; (2) PPTs’ teaching style was either more indirect or direct; (3) PPTs used various strategies to improve children’s motivation; (4) PPTs had reached the optimal level of practice when children were challenged; (5) PPTs gave special attention to automatization and transfer during treatment; and (6) PPTs considered task complexity when choosing MLSs, which appeared determined by task constraints, environmental demands, child and therapist characteristics.

Conclusion
PPTs’ clinical decision-making processes in choosing MLSs appeared strongly influenced by therapist characteristics like knowledge and experience, resulting in large variation in the use of MLSs and teaching styles to enhance motivation, automatization, and transfer. This study indicates the importance of the level of education on using MLSs to teach children motor skills, and clinical decision-making. Future research should focus on implementing this knowledge into daily practice.