bluuebunny/crossref_metadata_2025_split huggingface dataset:
Economic and Performance Analysis of Achilles Tendon Rupture in the National Basketball Association
Authors: Meadows Kristopher , Ye Fei , Qiu Abram , Iyawe Osasu , Kenneth-Nwosa Kenneth 
Published: November 2024

Background: Achilles tendon ruptures are common and potentially career-ending injuries for National Basketball Association (NBA) players. Many studies have reviewed the impact of Achilles tendon ruptures on return to play (RTP) and performance, but there are no studies on their economic significance. Purpose/Hypothesis: This study aimed to analyze the economic and performance consequences of Achilles tendon ruptures usingthe cost of recovery (COR) for NBA franchises as well as preinjury salary/career success. It was hypothesized that players with higher preinjury salaries or performance would have an increased COR, higher rates of RTP, and more career success after their injury. Study Design: Descriptive epidemiology study. Methods: Publicly available data of NBA players who sustained an Achilles tendon rupture between 1990 and 2023 were analyzed. Data were retrospectively gathered by R software code to include players’ ages, positions, salaries, pre- and postinjury player efficiency rating, time missed after injury, and RTP. Performance impact was measured by advanced statistics: player efficiency rating, Win Shares per 48 Minutes, and Value Over Replacement Player. Two groups of 3 cohorts were created: All-Star, Starter, and Reserve versus group A (<$3,999,999), group B (≥$3,999,999 to ≤$8,999,999), and group C (>$8,999,999). Analysis of variance with post hoc Tukey tests for continuous data and Fisher exact tests for categorical data was used. Significance levels were set at P < .05. Results: A total of 37 players met the inclusion criteria and played between the years of 1992 through 2019. The mean COR that NBA teams faced was $4 million per player. The cumulative economic loss from Achilles tendon ruptures in the NBA between 1992 and 2019 was $117,578,851. Overall RTP was 78.38%, and 31.03% of players who returned to play were out of the NBA within 3 years. RTP to the highest playing level was highest in group B (45.5%), followed by group A (40%) then group C (12.5%). The COR of All-Star players, Starter players, and Reserve players averaged $5.7 million, $3.4 million, and $3 million, respectively. Conclusion: This study investigated the financial and performance implications of Achilles tendon ruptures among NBA athletes. Most players struggled to restore their preinjury performance, except for Reserve players. The findings provide valuable insights into the complexities of COR and postinjury performance.
Factors Affecting Outcomes and Complications of Primary Anterior Cruciate Ligament Reconstruction: A Retrospective Study of 110 Patients
Authors: Alkhatatba Mohammad , Atallah Micheal , Awad Baha’ , Araiqat Bashar , Aloqaily Ammar , Awad Hasan , Atallah Mathew , Ahmed Marwan 
Published: November 2024

Background: Anterior cruciate ligament injury poses a major effect on the quality of life of patients. Anterior cruciate ligament reconstruction (ACLR) remains the mainstay of treatment. Purposes: To (1) test for the correlation of patients’ characteristics such as body mass index (BMI), age, smoking status, and postoperative infrapatellar numbness with the subjective outcome of primary ACLR and (2) investigate whether postsurgical complications can be related to the studied patients’ characteristics. Study Design: Case series; Level of evidence, 4. Methods: Demographic data and operational notes from patients who underwent primary ACLR at the institute between 2011 and 2022 were extracted. Patients’ surgical outcomes were evaluated subjectively using the International Knee Documentation Committee (IKDC) score and the Knee injury and Osteoarthritis Outcome Score (KOOS). Pre- and postoperative scoring were completed at postoperative follow-up in December of 2022, patients completed both the IKDC and the KOOS questionnaires. Patients were asked to rate their knee function out of 10 before and after surgery. This rating was based on the patients’ self-assessment of their functional ability without the use of a formal instrument. Knee function was assigned as better, worse, or the same through a comparison of patients’ reported scores before and after surgery. Results: Male patients comprised 108 (98.2%) of the total cohort, the mean ± SD age at the time of surgery was 27.92 ± 7.39 years, and BMI was 26.54 ± 3.89. The mean follow-up time was 48.92 ± 27.99 months. Most patients did not need postsurgical intervention (n = 97; 88.2%), while 4 (3.6%), 7 (6.4%), and 2 (1.8%) needed revision, debridement, or both, respectively. The mean IKDC score and KOOS, respectively, were 74.37 ± 20.17 and 85.50 ± 14.83. Patients’ BMI had a significant effect on IKDC score (74.68 ± 20.0; P < .001), and infrapatellar numbness after surgery also affected patients’ IKDC score ( P = .002) and KOOS ( P = .043). The age at the time of ACLR was associated with contralateral leg surgery ( P = .017). Conclusion: This study showed that higher BMI and infrapatellar numbness negatively affect the subjective outcomes after primary ACLR. Older age at the time of primary ACLR was associated with a higher likelihood of surgery in the contralateral leg.
Pediatric asthma and COVID-19 vaccination: unveiling patterns of hesitancy and acceptance
Authors: Tavakol Marzieh , Gharagozlou Saber , Abbasi Mohammad , Zamani Zahra , Gharagozlou Mohammad 
Published: November 2024

Background: The global COVID-19 pandemic, declared in January 2020, necessitated urgent preventive measures, with vaccination as a key strategy. Despite progress in vaccine development and distribution, widespread hesitancy persists, impeding global disease control efforts. This study specifically explores COVID-19 vaccine hesitancy and acceptance among Iranian children with asthma, aiming to understand factors unique to this subgroup. Method: A cross-sectional investigation was carried out in an allergy clinic in Iran, including a total of 522 asthmatic children between the ages of 5 and 18 years. A comprehensive questionnaire, built upon previous studies, investigated the factors that influence vaccine hesitation and acceptance. Data pertaining to demographics, vaccination status, and factors influencing hesitancy or acceptance were collected. Results: Among the participants, 27.5% were administered the COVID-19 vaccine. Decisions were greatly influenced by family dynamics, with a notable association between parent and child vaccination. Children’s vaccination rates were associated with their age and the frequency of COVID-19 diagnosis among their parents. The primary factors motivating individuals to get vaccinated were safety concerns (67.1%) and a strong belief in the severity of COVID-19 (43.4%). On the other hand, vaccine hesitancy resulted from concerns about potential adverse effects (77%), lack of confidence (28.3%), and a belief that children who had already contracted COVID-19 did not require vaccination (22.5%). Conclusion: The study highlights COVID-19 vaccine hesitancy and acceptance among asthmatic children in Iran, emphasizing parental decision-making factors. Tailored interventions are required due to the lower vaccination rate in this specific group. Healthcare providers play a vital role in influencing opinions, urging actions against misinformation, enhancing vaccine understanding, and promoting positive attitudes.
Diagnosis of TP53-mutated myeloid disease by the ICC and WHO fifth edition classifications
Authors: Hart Stephanie A. , Lee Laura A. , Seegmiller Adam C. , Mason Emily F. 
Published: November 2024

Abstract
The International Consensus (ICC) and World Health Organization fifth edition (WHO5) classifications introduced new, but differing, categories of myeloid disease defined by TP53 mutations. We reviewed a cohort of 188 cases of TP53-mutated myeloid disease to determine how diagnoses and outcomes differ between the 2 classifications. Overall, 120 (64%) cases were classified differently by the ICC and WHO5, including 24 of 80 (30%) cases with &lt;20% blasts. These cases were discrepantly categorized primarily because of inclusion of complex karyotype (CK) as a surrogate for biallelic TP53 inactivation only in the ICC. However, there were no significant differences in clinicopathologic characteristics or overall survival between cases categorized as TP53-mutated disease by both classifications and those with a single TP53 mutation and CK, suggesting that CK reliably identifies TP53-mutated cases with biallelic TP53 inactivation. Most cases of acute myeloid leukemia (AML; 96/102 [94%]) were discrepantly diagnosed between the ICC and WHO5 because of the introduction of AML with mutated TP53 as a distinct category only in the ICC. Nearly all of these were instead diagnosed as AML, myelodysplasia related (AML-MR) by WHO5. However, when compared with a separate cohort of patients with AML-MR without TP53 mutations, patients with TP53-mutated AML showed a distinct genetic profile and significantly worse overall survival, supporting the inclusion of AML with mutated TP53 as a distinct disease category. Overall, our results show that a significant percentage of TP53-mutated myeloid disease is classified differently by the ICC and WHO5 and highlight areas to address in future classification systems.
Predicting paediatric asthma exacerbations with machine learning: a systematic review with meta-analysis
Authors: Votto Martina , De Silvestri Annalisa , Postiglione Lorenzo , De Filippo Maria , Manti Sara , La Grutta Stefania , Marseglia Gian Luigi , Licari Amelia 
Published: November 2024

BackgroundAsthma exacerbations in children pose a significant burden on healthcare systems and families. While traditional risk assessment tools exist, artificial intelligence (AI) offers the potential for enhanced prediction models.ObjectiveThis study aims to systematically evaluate and quantify the performance of machine learning (ML) algorithms in predicting the risk of hospitalisation and emergency department (ED) admission for acute asthma exacerbations in children.MethodsWe performed a systematic review with meta-analysis, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The risk of bias and applicability for eligible studies was assessed according to the prediction model study risk of bias assessment tool (PROBAST). The protocol of our systematic review was registered in the International Prospective Register of Systematic Reviews.ResultsOur meta-analysis included seven articles encompassing a total of 17 ML-based prediction models. We found a pooled area under the curve (AUC) of 0.67 (95% CI 0.61–0.73; I2=99%; p<0.0001 for heterogeneity) for models predicting ED admission, indicating moderate accuracy. Notably, models predicting child hospitalisation demonstrated a higher pooled AUC of 0.79 (95% CI 0.76–0.82; I2=95%; p<0.0001 for heterogeneity), suggesting good discriminatory power.ConclusionThis study provides the most comprehensive assessment of AI-based algorithms in predicting paediatric asthma exacerbations to date. While these models show promise and ML-based hospitalisation prediction models, in particular, demonstrate good accuracy, further external validation is needed before these models can be reliably implemented in real-life clinical practice.
Myc 9aaTAD activation domain binds to mediator of transcription with superior high affinity
Authors: Knight Andrea , Houser Josef , Otasevic Tomas , Juran Vilem , Vybihal Vaclav , Smrcka Martin , Piskacek Martin 
Published: November 2024

AbstractThe overexpression of MYC genes is frequently found in many human cancers, including adult and pediatric malignant brain tumors. Targeting MYC genes continues to be challenging due to their undruggable nature. Using our prediction algorithm, the nine-amino-acid activation domain (9aaTAD) has been identified in all four Yamanaka factors, including c-Myc. The predicted activation function was experimentally demonstrated for all these short peptides in transactivation assay. We generated a set of c-Myc constructs (1–108, 69–108 and 98–108) in the N-terminal regions and tested their ability to initiate transcription in one hybrid assay. The presence and absence of 9aaTAD (region 100–108) in the constructs strongly correlated with their activation functions (5-, 3- and 67-times respectively). Surprisingly, we observed co-activation function of the myc region 69–103, called here acetyl-TAD, previously described by Faiola et al. (Mol Cell Biol 25:10220–10234, 2005) and characterized in this study as a new domain collaborating with the 9aaTAD. We discovered strong interactions on a nanomolar scale between the Myc-9aaTAD activation domains and the KIX domain of CBP coactivator. We showed conservation of the 9aaTADs in the MYC family. In summary for the c-Myc oncogene, the acetyl-TAD and the 9aaTAD domains jointly mediated activation function. The c-Myc protein is largely intrinsically disordered and therefore difficult to target with small-molecule inhibitors. For the c-Myc driven tumors, the strong c-Myc interaction with the KIX domain represents a promising druggable target.
Integrating gene expression and imaging data across Visium capture areas with visiumStitched
Authors: Eagles Nicholas J. , Bach Svitlana V. , Tippani Madhavi , Ravichandran Prashanthi , Du Yufeng , Miller Ryan A. , Hyde Thomas M. , Page Stephanie C. , Martinowich Keri , Collado-Torres Leonardo 
Published: November 2024

Abstract
Background
Visium is a widely-used spatially-resolved transcriptomics assay available from 10x Genomics. Standard Visium capture areas (6.5mm by 6.5mm) limit the survey of larger tissue structures, but combining overlapping images and associated gene expression data allow for more complex study designs. Current software can handle nested or partial image overlaps, but is designed for merging up to two capture areas, and cannot account for some technical scenarios related to capture area alignment.

Results
We generated Visium data from a postmortem human tissue sample such that two capture areas were partially overlapping and a third one was adjacent. We developed the R/Bioconductor package visiumStitched, which facilitates stitching the images together with Fiji (ImageJ), and constructing SpatialExperiment R objects with the stitched images and gene expression data. visiumStitched constructs an artificial hexagonal array grid which allows seamless downstream analyses such as spatially-aware clustering without discarding data from overlapping spots. Data stitched with visiumStitched can then be interactively visualized with spatialLIBD.

Conclusions
visiumStitched provides a simple, but flexible framework to handle various multi-capture area study design scenarios. Specifically, it resolves a data processing step without disrupting analysis workflows and without discarding data from overlapping spots. visiumStitched relies on affine transformations by Fiji, which have limitations and are less accurate when aligning against an atlas or other situations. visiumStitched provides an easy-to-use solution which expands possibilities for designing multi-capture area study designs.
Continuous planting American ginseng (Panax quinquefolius L.) caused soil acidification and bacterial and fungal communities’ changes
Authors: Li Shaoyong , Wei Haiwei , Qi Daqian , Li Wenwen , Dong Yan , Duan Fu-Ang , Ni Shou-Qing 
Published: November 2024

Abstract
Background
American ginseng is an important herb crop and is widely cultivated in China. However, continuous cropping seriously affects the production of American ginseng, and the reason is still unclear and needs more research. We analyzed the soil microbial alpha diversity and community composition as well as soil physicochemical properties in bulk soils to assess the changes in soil associated with planting American ginseng.

Results
The cultivation of American ginseng resulted in a significant decrease in soil pH value. The alpha diversity of soil bacteria and fungi was significantly reduced with the increase of American ginseng planting years. Planting American ginseng also largely altered the community composition of soil bacteria and fungi, in particularly, increased the relative abundance of the pathogenic fungus Fusarium, and reduced the relative abundance of some beneficial microorganisms, such as KD4-96, RB41 and Sphingomonas.

Conclusions
Soil acidification, reduction of beneficial taxa and accumulation of fungal pathogens, therefore, may lead to the replantation problem of American ginseng.
L-arginine impact on inflammatory and cardiac markers in patients undergoing coronary artery bypass graft: a systematic review and meta-analysis of randomized controlled trials
Authors: Mohammadi Zahra , Ravankhah Mahdi , Ahmadi Mohammad , Keshavarzian Omid , Azari Isaac , Abdollahi Mozhan , Rezaei Mehdi , Akbari Hamed 
Published: November 2024

Abstract
Background
Numerous studies have explored the effects of L-arginine, whether administered in the form of a supplement or through infusion during cardioplegia, on cardiac and inflammatory markers in individuals undergoing coronary artery bypass grafting (CABG). However, these studies presented contradictory findings. Consequently, the objective of this study was to investigate the impact of l-arginine on these markers by analyzing available randomized controlled trials (RCTs).

Methods
We performed an extensive search across various databases, including Embase, Medline/PubMed, Web of Science, Scopus, Cochrane Library, and Google Scholar, covering research published until December 2023. To analyze the mean changes in inflammatory and cardiac markers between the L-arginine and control groups, we calculated the weighted mean difference (WMD) along with the corresponding 95% confidence interval (CI) using a random-effects model.

Results
A total of 393 RCTs were identified during the initial search. After screening and selection, 7 trials were included. In a meta-analysis of three trials that reported troponin T levels, we found a significant impact of L-arginine on reducing troponin T levels (WMD = -0.61 ng/ml; 95% CI: -1.07, -0.15). Our analysis also showed that L-arginine had a noticeable impact on decreasing interleukin-6 (IL-6) levels (WMD = -7.72 pg/ml; 95% CI: -15.05, -0.39). However, we found no considerable impact of L-arginine treatment on creatine phosphokinase-MB (CPK-MB), tumor necrosis factor-alpha (TNF-α), and troponin I compared to the placebo groups.

Conclusions
Our findings suggest that L-arginine may benefit patients undergoing CABG, as it helps reduce inflammatory reactions and limits myocardial ischemia. This study registered in the PROSPERO database (Registration No. CRD42024508341).
geessbin: an R package for analyzing small-sample binary data using modified generalized estimating equations with bias-adjusted covariance estimators
Authors: Ishii Ryota , Ohigashi Tomohiro , Maruo Kazushi , Gosho Masahiko 
Published: November 2024

Abstract
Background
The generalized estimating equation (GEE) method is widely used for analyzing longitudinal and clustered data. Although the GEE estimate for regression coefficients and sandwich covariance estimate are consistent regardless of the choice of covariance structure, they are generally biased for small sample sizes. Various researchers have proposed modified GEE methods and covariance estimators to handle small-sample bias.

Results
We briefly present bias-corrected and penalized GEE methods, along with 11 bias-adjusted covariance estimators. In addition, we focus on analyzing longitudinal or clustered data with binary outcomes using the logit link function and introduce package in R to implement conventional and modified GEE methods with bias-adjusted covariance estimators. Finally, we illustrate the implementation and detail a usage example of the package. The package is available from the Comprehensive R Archive Network (CRAN) at https://cran.r-project.org/web/packages/geessbin/index.html.

Conclusions
The package provides three GEE estimates with numerous covariance estimates. It is useful for analyzing correlated data such as longitudinal and clustered data. Additionally, the is designed to be user-friendly, making it accessible to non-statisticians.
Gait abnormalities and longitudinal fall risk in older patients with end-stage kidney disease and sarcopenia
Authors: Sun Chien-Yao , Hsu Lin-Chieh , Su Chien-Chou , Li Chung-Yi , Chao Chia-Ter , Chang Yu-Tzu , Chang Chia-Ming , Wang Wen-Fong , Lien Wei-Chih 
Published: November 2024

Abstract
Background
Sarcopenia, gait disturbance, and intradialytic hypotension are among the various factors that contribute to fall risk. This study aimed to investigate the relationship between risk of sarcopenia, hemodialysis (HD) session, and long-term fall risk in older end-stage kidney disease (ESKD) patients by analyzing their spatiotemporal gait characteristics.

Methods
We recruited 22 non-demented patients aged ≥ 65 years who were undergoing maintenance HD. Participants were divided into two groups based on their SARC-F score (< 4 and ≥ 4) to identify those with higher and lower risk of sarcopenia. Demographics, comorbidities, and renal parameters were compared between groups. Inertial measurement unit-based technology equipped with triaxial accelerometry and gyroscope was used to evaluate gait characteristics. The gait task was assessed both before and after dialysis using the Timed-Up and Go (TUG) test and a 10-meter walking test at a regular pace. Essential gait parameters were thoroughly analyzed, including gait speed, stride time, stride length, double-support phase, stability, and symmetry. We investigated the interaction between the dialysis procedure and gait components. Outcome of interest was any occurrence of injurious fall during follow-up period. Logistic regression models were employed to examine the relationship between baseline gait markers and long-term fall risk.

Results
The SARC-F ≥ 4 group showed various gait abnormalities, including longer TUG time, slower gait speed, longer stride time, shorter stride length, and longer double support time compared to counterpart (SARC-F < 4). After HD sessions, the SARC-F ≥ 4 group showed a 2.0-second decrease in TUG task time, an 8.0 cm/s increase in gait speed, an 11.6% lower stride time, and a 2.4% increase in gait symmetry with significant group-time interactions. Shorter stride length and longer double support time were associated with injurious falls during the two-year follow-up.

Conclusion
Our study demonstrated the utility of triaxial accelerometers in extracting gait characteristics in older HD patients. High-risk sarcopenia (SARC-F ≥ 4) was associated with various gait abnormalities, some of which partially improved after HD sessions. These gait abnormalities were predictive of future falls, highlighting their prognostic significance.