bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dual-basal-insulin regimen for the management of dawn phenomenon in children with type 1 diabetes: a retrospective cohort study
Authors: Celik Nur Berna , Canoruc Emet Dicle , Canturk Merve , Ozon Z. Alev , Gonc E. Nazli 
Published: December 2023

Background: Handling of the dawn phenomenon (DP) with multiple daily insulin injection (MDII) regimen is a real challenge. Objective: We aimed to demonstrate the effectiveness of a dual-basal-insulin (a long-acting glargine and an intermediate-acting neutral protamine Hagedorn (NPH)) regimen for the management of DP in children with type 1 diabetes mellitus (T1DM). The primary efficacy outcome was to overcome morning hyperglycemia without causing hypoglycemia during the non-DP period of the night. Design: Retrospective cohort study. Method: Charts of 28 children with T1DM (12 female; 42.8%, mean age 13.7 ± 2.1 years) treated with MDII were retrospectively reviewed. The median duration of diabetes was 4.5 years (range 2–13.5 years). DP was diagnosed using a threshold difference of 20 mg/dL (0.1 mmol/L) between fasting capillary blood glucose at 3 a.m. and prebreakfast. NPH was administered at midnight in addition to daily bedtime (08.00–09.00 p.m.) glargine (dual-basal-insulin regimen). Midnight, 03:00 a.m., prebreakfast and postprandial capillary blood glucose readings, insulin–carbohydrate ratios, and basal-bolus insulin doses were recorded the day before the dual-basal-insulin regimen was started and the day after the titration of the insulin doses was complete. Body mass index standard deviation scores (BMI SDS) at the onset–3rd–12th month of treatment were noted. Results: Before using dual basal insulin, prebreakfast capillary blood glucose levels were greater than those at midnight and at 03:00 a.m. ( F = 64.985, p < 0.01). After titration of the dual-basal-insulin doses, there were significant improvements such that there were no statistically significant differences in the capillary blood glucose measurements at the three crucial time points (midnight, 03.00 a.m., and prebreakfast; F = 1.827, p = 0.172). No instances of hypoglycemia were reported, and the total daily insulin per kilogram of body weight did not change. The BMI SDS remained steady over the course of the 1-year follow-up. Conclusion: In this retrospective cohort study, the dual-basal-insulin regimen, using a long-acting glargine and an intermediate-acting NPH, was effective in overcoming early morning hyperglycemia due to insulin resistance in the DP. However, the effectiveness of the dual-basal-insulin regimen needs to be verified by prospective controlled studies using continuous glucose monitoring metrics or frequent blood glucose monitoring.
Evaluation of four machine learning models for signal detection
Authors: Dauner Daniel G. , Leal Eleazar , Adam Terrence J. , Zhang Rui , Farley Joel F. 
Published: December 2023

Background: Logistic regression-based signal detection algorithms have benefits over disproportionality analysis due to their ability to handle potential confounders and masking factors. Feature exploration and developing alternative machine learning algorithms can further strengthen signal detection. Objectives: Our objective was to compare the signal detection performance of logistic regression, gradient-boosted trees, random forest and support vector machine models utilizing Food and Drug Administration adverse event reporting system data. Design: Cross-sectional study. Methods: The quarterly data extract files from 1 October 2017 through 31 December 2020 were downloaded. Due to an imbalanced outcome, two training sets were used: one stratified on the outcome variable and another using Synthetic Minority Oversampling Technique (SMOTE). A crude model and a model with tuned hyperparameters were developed for each algorithm. Model performance was compared against a reference set using accuracy, precision, F1 score, recall, the receiver operating characteristic area under the curve (ROCAUC), and the precision-recall curve area under the curve (PRCAUC). Results: Models trained on the balanced training set had higher accuracy, F1 score and recall compared to models trained on the SMOTE training set. When using the balanced training set, logistic regression, gradient-boosted trees, random forest and support vector machine models obtained similar performance evaluation metrics. The gradient-boosted trees hyperparameter tuned model had the highest ROCAUC (0.646) and the random forest crude model had the highest PRCAUC (0.839) when using the balanced training set. Conclusion: All models trained on the balanced training set performed similarly. Logistic regression models had higher accuracy, precision and recall. Logistic regression, random forest and gradient-boosted trees hyperparameter tuned models had a PRCAUC ⩾ 0.8. All models had an ROCAUC ⩾ 0.5. Including both disproportionality analysis results and additional case report information in models resulted in higher performance evaluation metrics than disproportionality analysis alone.
Physiologically based pharmacokinetic modeling of candesartan to predict the exposure in hepatic and renal impairment and elderly populations
Authors: Guo Lingfeng , Zhu Xinyu , Zhang Lei , Xu Yichao 
Published: December 2023

Background: Candesartan cilexetil is a widely used angiotensin II receptor blocker with minimal adverse effects and high tolerability for the treatment of hypertension. Candesartan is administered orally as the prodrug candesartan cilexetil, which is wholly and swiftly converted to the active metabolite candesartan by carboxylesterase during absorption in the intestinal tract. In populations with renal or hepatic impairment, candesartan’s pharmacokinetic (PK) behavior may be altered, necessitating dosage adjustments. Objectives: This study was conducted to examine how the physiologically based PK (PBPK) model characterizes the PKs of candesartan in adult and geriatric populations and to predict the PKs of candesartan in elderly populations with renal and hepatic impairment. Design: After developing PBPK models using the reported physicochemical properties of candesartan and clinical data, these models were validated using data from clinical investigations involving various dose ranges. Methods: Comparing predicted and observed blood concentration data and PK parameters was used to assess the fit performance of the models. Results: Doses should be reduced to approximately 94% of Chinese healthy adults for the Chinese healthy elderly population; approximately 92%, 68%, and 64% of that of the Chinese healthy adult dose in elderly populations with mild, moderate, and severe renal impairment, respectively; and approximately 72%, 71%, and 52% of that of the Chinese healthy adult dose in elderly populations with Child–Pugh-A, Child–Pugh-B, and Child–Pugh-C hepatic impairment, respectively. Conclusion: The results suggest that the PBPK model of candesartan can be utilized to optimize dosage regimens for special populations.
Preliminary data from a 4-year mirror-image and multicentre study of patients initiating paliperidone palmitate 6-monthly long-acting injectable antipsychotic: the Paliperidone 2 per Year study
Authors: García-Carmona Juan Antonio , García-Pérez Alba , Isidro García Guillermo , Forcen-Muñoz Luis Alberto , Ovejero García Santiago , Sáez Povedano Rocío , González-Galdámez Ana Luisa , Mata Iturralde Laura , Hernández-Sánchez Fernando , Ramirez Bonilla Mariluz , Fuentes-Pérez Paloma , Ovejas-Catalán Claudia , Suárez-Pinilla Paula , Valdivia-Muñoz Francisco , Fernández Abascal Blanca , Omaña Colmenares Miguel , de Lourdes Martín-Pérez Ángela , Campos-Navarro María Pilar , Baca-García Enrique , Benavente-López Sergio , Raya Platero Alberto , Barberán Navalón Miguel , Sánchez-Alonso Sergio , Vázquez-Bourgon Javier , Pappa Sofia 
Published: December 2023

Background: Paliperidone palmitate 6-monthly (PP6M) is the first long-acting antipsychotic injectable (LAI) to allow for only two medication administrations per year, though there is presently limited insight into its effectiveness and potential added value in real clinical practice conditions. Objectives: To present our ongoing study and draw its preliminary data on patient characteristics initiating PP6M and adherence during the first year of treatment. Methods: The paliperidone 2 per year (P2Y) study is a 4-year, multicentre, prospective mirror-image pragmatic study taking place at over 20 different sites in Europe. The mirror period covers 2 years either side of the PP6M LAI initiation. Retrospective data for the previous 2 years are collected for each patient from the electronic health records. Prospective data are recorded at baseline, 6, 12, 18 and 24 months of drug administration and also cover information on concomitant psychiatric medication, relapses, hospital admissions, side effects, discontinuation and its reasons. Meanwhile, here we present preliminary data from the P2Y study at basal and 6-month period (first and second PP6M administration). Results: At the point of PP6M initiation, the most frequent diagnosis was schizophrenia (69%), the clinical global impression scale mean score was 3.5 (moderately markedly ill) and the rate of previous hospital admissions per patient and year was 0.21. PP6M was initiated after a median of 3–4 years on previous treatment: 146 (73%) from paliperidone palmitate 3-monthly, 37 (19%) from paliperidone palmitate 1-monthly and 17 (9%) from other antipsychotics. The mean dose of the first PP6M was 1098.9 mg. The retention rate at 6 months and 1 year of treatment on PP6M in our cohort was 94%. Conclusion: Patient and clinician preference for LAIs with longer dosing intervals was the main reason for PP6M initiation/switching resulting in high treatment persistence. Future data are needed to evaluate the full impact of PP6M in clinical practice.
Diabetic peripheral neuropathy and their associations with overweight/obesity and impaired blood glucose among diabetic patients in Eastern Ethiopia: Institutional-based study
Authors: Fentie Dilnessa , Solomon Yonatan , Abebe Fitsum , Derese Tariku , Tigstu Feven , Hailemariam Tekleberhan 
Published: December 2023

Objective: This study aimed to determine the burden of diabetic peripheral neuropathy and its associations with overweight/obesity and impaired blood glucose among diabetic patients in Eastern Ethiopia. Method: A total of 644 diabetic individuals were included in the study through systematic random sampling techniques. The Michigan neuropathy screening instrument was used to evaluate the presence of diabetic neuropathy. Data were presented using narrative, figures, and tables from the results of statistical analysis. The descriptive result was reported using frequency (percentage) for categorical variables and mean ± SD for continuous measures, respectively. Multivariable logistic regression was performed to identify factors associated with diabetic peripheral neuropathy. Results: The overall prevalence of diabetic peripheral neuropathy was 47.8% (95% CI: 43.9%–51.7%). Low monthly income (AOR: 2.02, 95% CI: 1.09, 3.73), history of khat chewing (AOR: 2.32, 95% CI: 1.04, 4.907), impaired blood glucose (AOR: 1.52, 95% CI: 1.63, 1.94), physical inactivity (AOR: 2.76, 95% CI: 1.74, 4.36), and raised body mass index (AOR: 2.45, 95% CI: 1.01, 4.99) were factors significantly associated with diabetic peripheral neuropathy. Conclusion: The study emphasizes the value of early diabetic peripheral neuropathy detection and the widespread presence of diabetic peripheral neuropathy risk factors in diabetes patients. Any initiative intended to lessen the burden of diabetic peripheral neuropathy-related morbidity and high health care costs must be implemented as a strategy.
Development of H51Y and E157Q mutations for integrase inhibitor resistance in a patient undergoing treatment for pulmonary tuberculosis: A case report
Authors: Farias Luís Arthur Brasil Gadelha , Saboya Melissa Fiuza , Ponte Fernandes Natália , Perdigão Neto Lauro Vieira , de Arruda Erico Antonio Gomes 
Published: December 2023

Background: Failure of first-line regimens with dolutegravir, a high genetic barrier antiretroviral of the integrase inhibitor class, although uncommon, tends to increase in prevalence due to broader use. Objective: To describe the clinical case of an HIV/Tuberculosis coinfected patient who developed Human Immunodeficieny Virus (HIV) treatment failure during dolutegravir therapy. Case report: Male, 29 years old, presented with a right cervical mass, dry cough, and hyporexia, which lasted 2 weeks. Diagnostic tests were positive for tuberculosis and HIV. The viral load was 437,927 cp/mL (Log = 5.64). Antiretroviral therapy was initiated with Tenofovir/Lamivudine and Dolutegravir (TDF/3TC and DTG), the latter at a dose of 50 mg/day, as was a regimen for tuberculosis. After 8 months, therapeutic failure was verified. Genotyping was requested, with detection of the H51Y and E157Q mutations in the integrase. Conclusion: Attention when determining the antiretroviral therapy treatment regimen of HIV/TB coinfected patients is paramount. Poor adherence to antiretroviral therapy and follow-up may have contributed to treatment failure and resistance.
Increasing trends in online information-seeking and decreasing trends of funded research for polycystic ovary syndrome: An 18-year joinpoint analysis of Google Trends data from 2004 to 2022
Authors: Malhotra Kashish , Kempegowda Punith 
Published: December 2023

Background The internet has become the primary source of health-related information, and online health information-seeking behaviour has been used as a reliable surrogate of public awareness. We studied the trends of search interest in polycystic ovary syndrome over time and whether funding for polycystic ovary syndrome research corresponded with the changes in search interest. We also studied the geographic reach of polycystic ovary syndrome interest and whether polycystic ovary syndrome awareness month is an effective strategy to increase polycystic ovary syndrome interest. Methods We performed joinpoint regression on relative search volume data for polycystic ovary syndrome using Google Trends from 2004 to 2022, comparing weekly, monthly and yearly trends. We retrieved the total polycystic ovary syndrome-related articles from 1980 to 2022 to study funded and unfunded literature trends. We did a Mann-Whitney U-test analysis comparing the mean relative search volume during the polycystic ovary syndrome awareness month versus the rest of the weeks yearly. Results Three joinpoints were seen at months 70, 196, and 199 months which were statistically significant when compared to the null hypothesis of zero joinpoints ( p = .0002), one joinpoint ( p = .0002), and two joinpoints ( p = .0395), respectively. The search interest of ‘Polycystic ovary syndrome’ was seen in 195 regions globally. The mean relative search volume in September corresponding to polycystic ovary syndrome awareness month was higher than other months from 2013 to 2022. Of the 41,292 journal articles analysed, there was a positive trend in funded polycystic ovary syndrome research from the 2000s until the onset of the COVID-19 pandemic. Conclusions An increasing polycystic ovary syndrome search interest is probably driven by major legislative and scientific events suggesting the importance of such events. Polycystic ovary syndrome Awareness Month is an effective international awareness initiative to increase online polycystic ovary syndrome information-seeking behaviour. The declining trend in funding is a concern as it mismatches with the continued increase in information-seeking behaviour globally.
The portrayal of organ donation on TikTok: A content analysis of popular English-language TikTok videos
Authors: Marcon Alessandro R , Zenone Marco , Caulfield Timothy 
Published: December 2023

Objective TikTok is one of the most popular social media platforms and plays a role in shaping public perceptions. This research examined how organ donation was portrayed on the platform. Methods We built a dataset of the most popular English-language TikTok videos that used the hashtags #organdonor or #organdonation. We then performed content analysis on the 400 most viewed videos after limiting data set inclusion to one video per user account. Results The finalized videos ( N = 313) had generated nearly 80 million views and 10 million likes. Featuring both donors (56.2%) and recipients (44.1%), videos shared experiences that celebrated and lamented lost donor lives (41.8%) while also celebrating transplantation successes (31.3%). Very few videos included public solicitation (2.9%). Common video traits included detailing medical procedures (45.4%), presenting honor walks (10.9%), and displaying donors and recipients connecting or wanting to connect (16.9%). Videos mostly had a positive (74.1%) versus negative (10.2%) leaning tone. Conclusion Far from superficially glamorizing organ donation/transplantation processes and procedures, popular English-language TikTok videos depicted what we perceived as highly emotional and expository experiences. While the videos likely offered learning and cathartic opportunities for individuals and communities, they also highlight some tensions between personal anecdotes and data/research. Findings from this research can inform public outreach efforts as well as policies related to protecting anonymity and celebrating donors with honor walks. Indeed, given TikTok's increasing popularity and influence, it could be a valuable tool to meaningfully learn from, and engage with, patient and donor communities.
Does a Share Name Change Have an Impact on the Pricing Efficiency of the Share?
Authors: Long Yue’e , Su Wunhong , Tan Yufan 
Published: December 2023

This study examines the association between the pricing efficiency of individual shares during the post-period and the pre-period of renames, substantive renames, and those with non-substantive renames. Based on a sample of 567 firms in the Chinese A-share market, this study finds that the pricing efficiency of individual shares is significantly higher during the post-period than during the pre-period of a renaming announcement. Moreover, the results are robust to controls. In addition, the results are consistent with the argument that the firms experiencing substantive renames are more inclined to involve the firm-specific information content. JEL classification: M41, G32, G12, G34, M21
Artificially Intelligent Billing in Spine Surgery: An Analysis of a Large Language Model
Authors: Zaidat Bashar , Lahoti Yash S. , Yu Alexander , Mohamed Kareem S. , Cho Samuel K. , Kim Jun S. 
Published: December 2023

Study Design Retrospective cohort study. Objectives This study assessed the effectiveness of a popular large language model, ChatGPT-4, in predicting Current Procedural Terminology (CPT) codes from surgical operative notes. By employing a combination of prompt engineering, natural language processing (NLP), and machine learning techniques on standard operative notes, the study sought to enhance billing efficiency, optimize revenue collection, and reduce coding errors. Methods The model was given 3 different types of prompts for 50 surgical operative notes from 2 spine surgeons. The first trial was simply asking the model to generate CPT codes for a given OP note. The second trial included 3 OP notes and associated CPT codes to, and the third trial included a list of every possible CPT code in the dataset to prime the model. CPT codes generated by the model were compared to those generated by the billing department. Model evaluation was performed in the form of calculating the area under the ROC (AUROC), and area under precision-recall curves (AUPRC). Results The trial that involved priming ChatGPT with a list of every possible CPT code performed the best, with an AUROC of .87 and an AUPRC of .67, and an AUROC of .81 and AUPRC of .76 when examining only the most common CPT codes. Conclusions ChatGPT-4 can aid in automating CPT billing from orthopedic surgery operative notes, driving down healthcare expenditures and enhancing billing code precision as the model evolves and fine-tuning becomes available.
Degenerative Thoracic Myelopathy: A Scoping Review of Epidemiology, Genetics, and Pathogenesis
Authors: Rujeedawa Tanzil , Mowforth Oliver D. , Davies Benjamin M. , Yang Cylene , Nouri Aria , Francis Jibin J. , Aarabi Bizhan , Kwon Brian K. , Harrop James , Wilson Jefferson R. , Martin Allan R. , Rahimi-Movaghar Vafa , Guest James D. , Fehlings Michael G. , Kotter Mark R. 
Published: December 2023

Study Design Literature Review. Objective Myelopathy affecting the thoracic spinal cord can arise secondary to several aetiologies which have similar presentation and management. Consequently, there are many uncertainties in this area, including optimal terminology and definitions. Recent collaborative cervical spinal research has led to the proposal and subsequent community adoption of the name degenerative cervical myelopathy(DCM), which has facilitated the establishment of internationally-agreed research priorities for DCM. We put forward the case for the introduction of the term degenerative thoracic myelopathy(DTM) and degenerative spinal myelopathy(DSM) as an umbrella term for both DCM and DTM. Methods Following PRISMA guidelines, a systematic literature search was performed to identify degenerative thoracic myelopathy literature in Embase and MEDLINE. Results Conditions encompassed within DTM include thoracic spondylotic myelopathy, ossification of the posterior longitudinal ligament, ossification of the ligamentum flavum, calcification of ligaments, hypertrophy of ligaments, degenerative disc disease, thoracic osteoarthritis, intervertebral disc herniation, and posterior osteophytosis. The classic presentation includes girdle pain, gait disturbance, leg weakness, sensory disturbance, and bladder or bowel dysfunction, often with associated back pain. Surgical management is typically favoured with post-surgical outcomes dependent on many factors, including the causative pathology, and presence of additional stenosis. Conclusion The clinical entities encompassed by the term DTM are interrelated, can manifest concurrently, and present similarly. Building on the consensus adoption of DCM in the cervical spine and the recent proposal of degenerative cervical radiculopathy(DCR), extending this common nomenclature framework to the terms degenerative spinal myelopathy and degenerative thoracic myelopathy will help improve recognition and communication.