Bibliometric Analysis of Malaysian Orthopaedic Journal using Scopus Database.

Introduction: The Malaysian Orthopaedic Journal (MOJ) (ISSN 1985-2533 / 2232-111X) is the official publication of the Malaysian Orthopaedic Association (MOA) and the ASEAN Orthopaedic Association (AOA). In May 2007, MOA published the first standalone issue of MOJ with the aim of disseminating new knowledge and providing updates in orthopaedics, trauma and musculoskeletal research. Since then, MOJ has grown significantly, achieving indexing in numerous databases and attaining a 2nd Quartile (Q2) rank in the Scopus database in 2022. This bibliometric analysis aims to explore the trends and distribution of articles published in MOJ. Materials and Methods: Bibliometric data for MOJ was extracted from the SCOPUS database, covering the years from its indexing to 2022. Information such as authors, country, document type, author's keywords, citations, and other parameters were extracted using the bibliometrix package in the R Studio software. The data were then presented in tables and illustrative graphs using the same software. Results: A total of 305 articles were retrieved from the Scopus database during the study period. Two-thirds of the articles were original articles and review articles. The highest number of citations received by an article is 56, and top ten articles in MOJ were authored by researchers from seven different countries, highlighting the journal's diversity. Despite receiving submissions from various countries, there is minimal collaboration between authors of different countries. Keywords such as "covid-19" and "pandemic" dominate the authors' keyword section due to the once-in-a-life-time COVID-19 which during the study period, resulting in numerous publications related to this issue. Conclusion: This bibliometric analysis reviews all the articles indexed in the Scopus database and provides insight into the contributors' information and the trends in orthopaedic research. By identifying the lack of collaboration between countries, it is hoped that this analysis can inspire more orthopaedic surgeons and researchers to collaborate and produce high-quality publications.

Impulse Control Disorders in Southern Iraqi Patients Medicated With Cabergoline for Prolactinoma.

BACKGROUND: Among the patient population in Basrah, Iraq, prolactinoma is the most commonly found pituitary tumor. Impulse control disorders (ICDs) were reportedly associated with these patients being treated with cabergoline. This study aimed to assess the prevalence of ICDs in cabergoline-treated prolactinoma patients versus healthy, matched controls. METHODS: This cross-sectional case-control study was conducted at the Faiha Specialized Diabetes, Endocrine and Metabolism Center (FDEMC) in Basrah, southern Iraq, from January 2023 to May 2023. It included 30 cabergoline-treated prolactinoma patients and 30 healthy, matched controls. The questionnaire for ICDs in Parkinson's disease was used as a screening tool. Following this, positively screened patients were evaluated using validated criteria accordingly to diagnose impulse control disorders. RESULTS: The ICDs were diagnosed in nine (30%) cabergoline-treated prolactinoma patients versus two (6.7%) in control (p = 0.02). The most frequent ICD types were hypersexuality and binge eating, while no patient reported pathological gambling. Three patients reported multiple types of ICDs. The patients' sociodemographic characteristics, prolactinoma duration and size, and cabergoline dose did not correlate significantly with ICD diagnosis. CONCLUSIONS: Treatment with cabergoline is associated with the development of ICDs. Therefore, clinicians should be aware of this disabling side effect to ensure its early detection and treatment.

Synthesis of aminopropyl triethoxysilane/melamine incorporated superhydrophilic membranes for simultaneous removal of oil, metals, and Salt ions from produced water.

Water treatment has turned out to be more important in most societies due to the expansion of most economies and to advancement of industrialization. Developing efficient materials and technologies for water treatment is of high interest. Thin film nanocomposite membranes are regarded as the most effective membranes available for salts, hydrocarbon, and environmental pollutants removal. These membranes improve productivity while using less energy than conventional asymmetric membranes. Here, the polyvinylidene fluoride (PVDF) membranes have been successfully modified via dip single-step coating by silica-aminopropyl triethoxysilane/trimesic acid/melamine nanocomposite (Si-APTES-TA-MM). The developed membranes were evaluated for separating the emulsified oil/water mixture, the surface wettability of the membrane materials is therefore essential. During the conditioning step, that is when the freshwater was introduced, the prepared membrane reached a flux of about 27.77 L m-2 h-1. However, when the contaminated water was introduced, the flux reached 18 L m-2 h-1, alongside an applied pressure of 400 kPa. Interestingly, during the first 8 h of the filtration test, the membrane showed 90 % rejection for ions including Mg2+, and SO42- and ≈100 % for organic pollutants including pentane, isooctane, toluene, and hexadecane. Also, the membrane showed 98 % rejection for heavy metals including strontium, lead, and cobalt ions. As per the results, the membrane could be recommended as a promising candidate to be used for a mixture of salt ions, hydrocarbons, and mixtures of heavy metals from wastewater.

A Surgical Collaborative to Empower Medical Student Research.

Mini abstracts: Faculty at the Baylor College of Medicine have developed a flexible research collaborative through which students gain research skills and individualized mentorship. This division has produced 86 trainee first author publications, 64 manuscripts by 34 different medical students with an average Scimago Journal Rank of 1.293 (range: 1.035-1.551) since 2015.

Gait dynamic stability evaluation in patients undergoing hip joint fractures - tools to measure rehabilitation effectiveness.

A hip joint fracture includes a break in the thigh (femur) or coxa bone near the pelvis. During fracture healing, stability and weight bearing by the affected limb are key indicators to measure patients' improvement. Conventionally, the rehabilitation effectiveness is monitored through clinical examinations, patients' feedback, and few studies also reported instrumented gait evaluations. A gap remains there to numerically quantify the recovery in patients' stability and weight bearing in response to rehabilitation therapies. This study introduces Nyquist and Bode (N&B) methods to analyse the instrumented gait signals further and evaluate gait stability in hip fracture patients during weight loading and unloading transitions. The centre of pressure (CoP) data was recorded using force plates for conditions: coxa hip fracture (HC), femur hip fracture (HF), and normal hip joint (NH). The time rate of CoP signals illustrated two major impulses during the loading and unloading phases which were modelled in time and frequency domains. The frequency models were further analysed by applying N&B methods and stability margins were computed for both impaired and healthy conditions. Results illustrated a significant decrease (Kruskal-Wallis's test, p < 0.001) in the intralimb walking stability of both fracture conditions. Further, Spearman's correlation between CoP velocities of fractured and intact limbs illustrated significant interlimb dependencies to maintain walking stability (p < 0.001) during weight loading and unloading transitions. Overall, the HF impairment illustrated the least intralimb walking stability and relatively greater interlimb dependencies. Clinically, these methods and findings are important to measure the recovery in patients undergoing rehabilitation after a hip joint or other lower limb impairments.

Role of Serum Micro-RNA-122-5p Expression as a Circulatory Biomarker in People Having Both Knee Osteoarthritis and Osteoporosis: A Case-Control Study.

Background Although knee osteoarthritis (KOA) and osteoporosis (OP) manifest distinct pathophysiologies, they share numerous similarities. These health conditions are commonly found in older individuals, particularly among women. The objective of this study is to explore the expression of micro-RNA (miRNA) 122-5p (miR-122-5p) in people affected by both KOA and OP. The main aim is to identify diagnostic biomarkers and potential therapeutic targets, which could help develop personalized treatment approaches. Methods As part of the study, a total of 268 serum samples were collected from the participants, who were divided into four groups: KOA, OP, KOA and OP, and controls, with 67 subjects per group. The miRNA species-containing total RNA was isolated from the serum samples using an miRNeasy serum/plasma kit by QIAGEN (Hilden, Germany). The expression of miR-122-5p was examined in each group using real-time quantitative polymerase chain reaction. Results Expression of miR-122-5p in all three groups (KOA, OP, and common group of KOA and OP) was significantly upregulated, and the fold change value was much higher in the group having both diseases. Conclusions These results might contribute to the identification of cases at risk, early diagnosis, and development, and might also contribute to the development of therapeutic targets in subjects having both KOA and OP.

Triiodothyronine/Thyroxine Ratio as a Marker of Clinical Response to Levothyroxine Replacement in Patients With Hypothyroidism.

BACKGROUND:  Hypothyroidism is one of the most common endocrine disorders with a simple therapy, that is levothyroxine (LT4). A normal thyroid-stimulating hormone (TSH) measurement is used as a marker of optimal replacement. But, many patients still have symptoms. Triiodothyronine (T3), thyroxine (T4), and their ratio may correlate with clinical improvement. The study aims to assess the T3/T4 ratio as a marker of clinical response in patients with hypothyroidism.  Method: A cross-sectional study was conducted from June to November 2022 at Faiha Specialized Diabetes, Endocrine, and Metabolism Center, in Basrah, southern Iraq. We included 48 adult patients with primary hypothyroidism on LT4 treatment only and TSH within the target reference range for at least within the last six months. Each patient was subjected to a questionnaire that was designed to capture hypothyroidism-related complaints in the form of a five-point Likert scale. Biochemical assessments were done with the measurement of TSH, T3, and T4. RESULTS: Despite having a normal TSH level, nearly all the patients had persistent and varying severity of clinical complaints of hypothyroidism. Tiredness, hair problems, weight gain, and cold intolerance were the most severely persistent symptoms. Patients with scores of two and more for weight gain, cold intolerance, and skin problems had significantly lower T3/T4 ratios (P = 0.04, 0.002, and 0.02, respectively), while in the remaining clinical symptoms, the T3/T4 ratio did not differ significantly. CONCLUSION: A low T3/T4 ratio was significantly associated with resistant symptoms of hypothyroidism and may be used as a marker for treatment efficacy with TSH rather than TSH value alone.

Discovery and Validation of Novel microRNA Panel for Non-Invasive Prediction of Prostate Cancer.

BACKGROUND: Early diagnosis remains a challenge for prostate cancer (PCa) due to molecular heterogeneity. The purpose of our study was to explore the diagnostic potential of microRNA (miRNA) in both tissue and serum that may aid in the precise and early clinical diagnosis of PCa. MATERIALS AND METHODS: The miRNA expression pattern analysis was carried out in 250 subjects (discovery and validation cohort). The Discovery Cohort included the control (n = 30) and PCa (n = 35) subjects, while the Validation Cohort included the healthy control (n = 60), benign prostate hyperplasia (BPH) (n = 55), PCa (n = 50), and castration-resistant PCa (CRPC) (n = 20) patients. The expression analysis of tissue (Discovery Cohort) and serum (Validation Cohort) was carried out by quantitative polymerase chain reaction (qPCR). The diagnostic biomarker potential was evaluated using receiver operating characteristics (ROC). Bioinformatic tools were used to explore and analyze miRNA target genes. RESULTS: MiRNA 4510 and miRNA 183 were significantly (p<0.001) upregulated and miRNA 329 was significantly (p<0.0001) downregulated in both PCa tissue and serum. ROC curve analysis showed excellent non-invasive biomarker potential of miRNA 4510 in both PCa (area under the curve (AUC) 0.984; p<0.001) and CRPC (AUC 0.944; p<0.001). The panel of serum miRNAs (miRNA 183 and miRNA 4510) designed for PCa had significant and greater AUC with both 100% sensitivity and specificity. Computational analysis shows that the maximum number of target genes are transcription factors that regulate oncogenes and tumor suppressors. CONCLUSION: Based on ROC curve analysis, miRNAs 4510, 329, and 711 were identified as potential non-invasive diagnostic biomarkers in the early detection of PCa. Our findings imply that a panel of miRNAs 183 and 4510 has high specificity for distinguishing PCa from healthy controls and providing therapeutic targets for better and earlier PCa therapy.

Development and validation of a deep learning-based microsatellite instability predictor from prostate cancer whole-slide images.

Microsatellite instability-high (MSI-H) is a tumor-agnostic biomarker for immune checkpoint inhibitor therapy. However, MSI status is not routinely tested in prostate cancer, in part due to low prevalence and assay cost. As such, prediction of MSI status from hematoxylin and eosin (H&E) stained whole-slide images (WSIs) could identify prostate cancer patients most likely to benefit from confirmatory testing to evaluate their eligibility for immunotherapy and need for Lynch syndrome testing. Prostate biopsies and surgical resections from prostate cancer patients referred to our institution were analyzed. MSI status was determined by next-generation sequencing. Patients sequenced before a cutoff date formed an algorithm development set (n = 4015, MSI-H 1.8%) and a paired validation set (n = 173, MSI-H 19.7%) that consisted of two serial sections from each sample, one stained and scanned internally and the other at an external site. Patients sequenced after the cutoff date formed a temporally independent validation set (n = 1350, MSI-H 2.3%). Attention-based multiple instance learning models were trained to predict MSI-H from H&E WSIs. The predictor achieved area under the receiver operating characteristic curve values of 0.78 (95% CI [0.69-0.86]), 0.72 (95% CI [0.63-0.81]), and 0.72 (95% CI [0.62-0.82]) on the internally prepared, externally prepared, and temporal validation sets, respectively, showing effective predictability and generalization to both external staining/scanning processes and temporally independent samples. While MSI-H status is significantly correlated with Gleason score, the model remained predictive within each Gleason score subgroup.

Intraoperative scrub nurse turnover in orthopaedic surgery procedures: An opportunity for improved operating room efficiency.

BACKGROUND: Scrub nurses play a crucial role in facilitating orthopaedic surgeries, and thus intraoperative scrub nurse turnover may disrupt the workflow of the surgical team and prolong duration of surgery (DOS). The purpose of this study was to quantify the impact of intraoperative scrub nurse turnover on operative time of orthopaedic surgeries lasting less than 3h in duration. METHODS: Prospectively collected databases from two institutions were retrospectively queried to identify all orthopaedic procedures of maximum mean duration of 180min from March 4th, 2018 to August 31st, 2022. Cases were divided into two groups, those with scrub nurse turnover and those without. Propensity score matching was conducted to match groups by surgeon, hospital, patient age, gender, and ASA classification. Unpaired t-tests were used to compare mean DOS for each surgical procedure. Average treatment effect on treated (ATET) with 95% confidence intervals (CIs) were calculated. RESULTS: Scrub nurse turnover significantly prolonged DOS for both bone forearm facture open reduction and internal fixation (ORIF) (ATET=21.08, p=0.001), ankle ORIF (ATET=21.26, p<0.001), clavicle ORIF (ATET=16.16, p=0.028), femur intramedullary nail (ATET=11.52, p=0.003), rotator cuff repair (ATET=16.88, p<0.001), partial discectomy (ATET=10.52, p=0.001), total knee arthroplasty (TKA) (ATET=5.69, p<0.001), anterior total hip arthroplasty (THA) (ATET=8.80, p<0.001), lateral THA (ATET=7.02, p<0.001), and uncemented hip hemiarthroplasty (ATET=16.79, p=0.049). CONCLUSION: Intraoperative scrub nurse turnover significantly prolongs surgical times in orthopaedic surgeries lasting up to 3h in duration. This highlights the importance of developing strategies to prevent intraoperative scrub nurse turnover to improve OR efficiency and decrease healthcare costs.

The role of preoperative MRI in endoscopic transnasal transsphenoidal hypophysectomy of pituitary adenoma.

BACKGROUND: The trans-sphenoidal approach, commonly used for removing pituitary adenomas, has become a widely accepted and successful method. In recent years, the endoscopic trans-sphenoidal technique has emerged as a minimally invasive surgical approach for pituitary adenoma removal. The majority of pituitary adenomas exhibit a soft consistency and can be successfully extracted with aspiration and curettage using the trans-sphenoidal approach. However, a subset of around 5-15% of these adenomas possess a solid and fibrous texture. The occurrence of firm and fibrous adenomas is relatively common; unfortunately, there are no reliable predictors to identify them preoperatively. OBJECTIVES: The ability to forecast the reliability of magnetic resonance imaging (MRI) holds promise for improving prior preparation and impacts the extent of resection. DESIGN: A cross-sectional analysis of the investigation of magnetic resonance imaging (MRI) in relation to cancer histology was performed on 68 patients who had endoscopic trans-nasal excision for nonfunctional adenomas. MATERIALS AND METHODS: The determination of an intensity ratio was performed by employing quantitative estimates of MRI signal intensity obtained from both the adenoma and pons. During the surgical procedure, a series of sequential-graded procedures were used for the removal of tumours with varying consistencies. Softer tumours were addressed using the Suction technique (R1), while tumours of intermediate consistency were treated using curettes (R2). In order to evaluate the fibrotic content of firmer tumours, the utilization of Cavitron Ultrasound Surgical Aspirator (CUSA), and/or other micro-instruments (R3) was employed, with the histologic collagen fraction being quantified. In order to investigate and analyse the data, a statistical analysis was conducted. A predictive relationship between resection category and both intensity ratio, and collagen percentage was noted. The primary objective of this study was to determine the appropriate cutoff criteria for clinical utilization, as well as to investigate the association between intensity ratios and collagen percentage. RESULTS: Tumors with ratios ≤ 1.6 on the T2-weighted image and collagen content > 5.3% required more meticulous and sharp dissection for resection. CONCLUSIONS: The utilization of MRI analysis may offer some assistance, but not conclusive, in the prediction of tumour consistency.

Retrospective Analysis of the Impact of High- and Low-Quality Donor Livers for Patients with High-Acuity Illness.

BACKGROUND Patients with high-acuity liver failure have increased access to marginal and split liver options, owing to historically high waitlist mortality rates. While most research states that donor liver quality has no impact on patients with high-acuity illness, there have been inconsistencies in recent research on how liver quality impacts post-transplant outcomes for these patients. We aimed to quantify donor liver quality with various post-transplantation patient outcomes for patients with high-acuity illness. MATERIAL AND METHODS Using the liver donor risk index (LDRI), model for end stage liver disease (MELD), and clinically relevant recipient factors, we used multivariate logistic regression to analyze how donor liver quality affects varying measures of patient outcomes for 9923 high-acuity patients from June 18, 2013, to June 18, 2022. RESULTS Using LDRI, high-quality livers had a significant protective impact on high-acuity patient mortality, compared with low-quality livers (OR=0.695 [0.549, 0.879], P=0.002). High-quality livers also had significant impact on graft survival (OR=0.706 [0.558, 0.894], P=0.004). Two sensitivity patient mortality analyses, excluding patients with status 1A and hepatocellular carcinoma, showed significant protective findings for high-quality livers. High-quality livers had insignificant outcomes on long-term survivor mortality, length of hospitalization, and primary non-function outcomes, compared with low-quality donor livers. CONCLUSIONS While our findings suggest donor quality has an impact on high-acuity patient outcomes, these findings indicate further research is needed in intent-to-treat analysis on clinical offer data to provide a clearer finding of how donor quality affects patients with high-acuity illness.

Estimating risk of prolonged mechanical ventilation after liver transplantation in children: PROVE-ALT score.

BACKGROUND: Children at high risk for prolonged mechanical ventilation (PMV) after liver transplantation (LT) need to be identified early to optimize pulmonary support, allocate resources, and improve surgical outcomes. We aimed to develop and validate a metric that can estimate risk for Prolonged Ventilation After LT (PROVE-ALT). METHODS: We identified preoperative risk factors for PMV by univariable analysis in a retrospective cohort of pediatric LT recipients between 2011 and 2017 (n = 205; derivation cohort). We created the PROVE-ALT score by mapping multivariable logistic regression coefficients as integers, with cutoff values using the Youden Index. We validated the score by C-statistic in a retrospectively collected separate cohort of pediatric LT recipients between 2018 and 2021 (n = 133, validation cohort). RESULTS: Among total 338 patients, 21% (n = 72) were infants; 49% (n = 167) had cirrhosis; 8% (n = 27) required continuous renal replacement therapy (CRRT); and 32% (n = 111) required management in hospital (MIH) before LT. Incidence of PMV post-LT was 20% (n = 69) and 3% (n = 12) required tracheostomy. Independent risk factors (OR [95% CI]) for PMV were cirrhosis (3.8 [1-14], p = .04); age <1-year (8.2 [2-30], p = .001); need for preoperative CRRT (6.3 [1.2-32], p = .02); and MIH before LT (12.4 [2.1-71], p = .004). PROVE-ALT score ≥8 [Range = 0-21] accurately predicted PMV in the validation cohort with 73% sensitivity and 80% specificity (AUC: 0.81; 95% CI: 0.71-0.91). CONCLUSION: PROVE-ALT can predict PMV after pediatric LT with a high degree of sensitivity and specificity. Once externally validated in other centers, PROVE-ALT will empower clinicians to plan patient-specific ventilation strategies, provide parental anticipatory guidance, and optimize hospital resources.

Combination of computed tomography angiography with coronary artery calcium score for improved diagnosis of coronary artery disease: a collaborative meta-analysis of stable chest pain patients referred for invasive coronary angiography.

OBJECTIVES: Coronary computed tomography angiography (CCTA) has higher diagnostic accuracy than coronary artery calcium (CAC) score for detecting obstructive coronary artery disease (CAD) in patients with stable chest pain, while the added diagnostic value of combining CCTA with CAC is unknown. We investigated whether combining coronary CCTA with CAC score can improve the diagnosis of obstructive CAD compared with CCTA alone. METHODS: A total of 2315 patients (858 women, 37%) aged 61.1 ± 10.2 from 29 original studies were included to build two CAD prediction models based on either CCTA alone or CCTA combined with the CAC score. CAD was defined as at least 50% coronary diameter stenosis on invasive coronary angiography. Models were built by using generalized linear mixed-effects models with a random intercept set for the original study. The two CAD prediction models were compared by the likelihood ratio test, while their diagnostic performance was compared using the area under the receiver-operating-characteristic curve (AUC). Net benefit (benefit of true positive versus harm of false positive) was assessed by decision curve analysis. RESULTS: CAD prevalence was 43.5% (1007/2315). Combining CCTA with CAC improved CAD diagnosis compared with CCTA alone (AUC: 87% [95% CI: 86 to 89%] vs. 80% [95% CI: 78 to 82%]; p < 0.001), likelihood ratio test 236.3, df: 1, p < 0.001, showing a higher net benefit across almost all threshold probabilities. CONCLUSION: Adding the CAC score to CCTA findings in patients with stable chest pain improves the diagnostic performance in detecting CAD and the net benefit compared with CCTA alone. CLINICAL RELEVANCE STATEMENT: CAC scoring CT performed before coronary CTA and included in the diagnostic model can improve obstructive CAD diagnosis, especially when CCTA is non-diagnostic. KEY POINTS: • The combination of coronary artery calcium with coronary computed tomography angiography showed significantly higher AUC (87%, 95% confidence interval [CI]: 86 to 89%) for diagnosis of coronary artery disease compared to coronary computed tomography angiography alone (80%, 95% CI: 78 to 82%, p < 0.001). • Diagnostic improvement was mostly seen in patients with non-diagnostic C. • The improvement in diagnostic performance and the net benefit was consistent across age groups, chest pain types, and genders.

Clinical Assessment Specialists: A New Faculty Role to Improve Clerkship Assessment.

INTRODUCTION: Ambulatory clerkships, including longitudinal integrated clerkships (LICs), face challenges to assessment, including time pressure and clinical demands on preceptors. High-quality clinical assessment is critical to implementing competency-based medical education, generating valid grades, and supporting learning. This importance is further heightened with the new pass/fail scoring for US Medical Licensing Exam Step 1, discontinuation of US Medical Licensing Exam Step 2 Clinical Skills, and the growing concern for bias in assessment. METHODS: The Kaiser Permanente Bernard J. Tyson School of Medicine's LIC spans the first 2 years with 50 students per class. In 2021-2022, the authors created a new faculty role, the clinical assessment specialist (CASp). CASps are highly trained clinical teachers who directly observe clerkship students in the ambulatory setting, provide feedback, and complete competency-based assessment forms. RESULTS: CASps completed 186 assessments of first-year (Y1) LIC students and 333 assessments of second-year (Y2) LIC students. Y2 students achieved average higher milestones and were rated as requiring less supervision compared to Y1 students. Y1 students rated CASps more favorably than Y2 students. Preceptors rated the contribution of CASps similarly across both years. Clerkship directors described benefits including identification of at-risk students and value of augmenting preceptor assessments. DISCUSSION: The CASp role may offer an innovative way to generate valid assessment of student performance, offset clinical pressures faced by preceptors, identify at-risk students, and mitigate bias, especially in an LIC. Future studies may examine assessment validity, including use in summative assessment. CONCLUSION: CASps are an innovative approach to clinical clerkship assessment.

Risk Stratification of Differentiated Thyroid Cancer: A Single-Center Study in Basrah.

Background Differentiated thyroid cancer is a common endocrine cancer; most of it has an indolent course and favorable outcomes, with a subset of patients having the risk of disease recurrence, which can be assessed using the fixed American Thyroid Association (ATA) risk stratification system or the dynamic response to therapy risk stratification that can be modified during patients follow-up. Aim The aim of this article is to assess the risk stratification of patients having differentiated thyroid cancer. Methods This is a retrospective cross-sectional study in which we evaluated medical records of 75 patients having differentiated thyroid cancer to assess the baseline ATA risk of recurrence and compared it to the results of dynamic risk stratification in response to therapy at 6-12 months post-surgery and at the last visit. Thyroglobulin level, anti-thyroglobulin antibody, thyroid ultrasound, and cytopathological examination were used to determine dynamic response to therapy and divided subjects into four groups: excellent response (ER), biochemical incomplete response (BIR), structural incomplete response (SIR), and indeterminate response (IR). Results At baseline, 55 patients had low risk, 14 patients had intermediate risk, and six patients had high risk. At 6-12 months post-surgery, in the low-risk group, ER, BIR, and IR responses were observed in 56.4%, 5.5%, and 38.2% of patients, respectively, and none of them exhibited SIR. In the intermediate-risk group, ER, BIR, and IR responses were observed in 57.1%, 21.4%, and 21.4% of patients, respectively, and none exhibited SIR. Among the high-risk group, two patients had ER, two patients had BIR, one patient had IR, and one patient had SIR. At the last visit, ER, BIR, and IR were observed in 65.5%, 9.1%, and 25.5% of low-risk patients, respectively, and no patient developed SIR. In the intermediate-risk group, ER, BIR, and IR were observed in 50%, 21.4%, and 28.6% of patients, respectively, and no patients developed SIR. Among the high-risk group, three patients achieved ER, one had BIR, one had IR, and one had SIR. Conclusion Most of the differentiated thyroid cancers in this study are low-risk. Dynamic risk stratification appears to be an effective tool in the follow-up of this population of patients having differentiated thyroid cancer.

A Novel Approach: Evaluating ChatGPT's Utility for the Management of Thyroid Nodules.

Background and objective Artificial intelligence (AI) applications such as Chat Generative Pre-Trained Transformer (ChatGPT) created by OpenAI, which represent the revolutionary aspects of today's technology, have benefitted professionals in many fields and society at large. In this study, we aimed to assess how effective is ChatGPT in helping both the patient and the physician manage thyroid nodules, a very common pathology. Methods Fifty-five questions frequently asked by patients were identified and asked to ChatGPT. Subsequently, three cases of thyroid nodules were progressively presented to ChatGPT. The answers to patient questions were scored for correctness and reliability by two endocrinologists. As for the cases, diagnostic and therapeutic approaches provided by ChatGPT were analyzed and scored by two endocrinologists for correctness, safety, and usability. The responses were evaluated by using 7-point Likert-type scales designed by us. Results The answers to patient questions were found to be mostly correct and reliable by both raters (Rater #1: 6.47 ± 0.50 and 6.27 ± 0.52; Rater #2: 6.18 ± 0.92 and 6.09 ± 0.96). Regarding the management of cases, ChatGPT's approach was found to be largely correct, safe, and usable by Rater #1, while Rater #2 evaluated the approaches as partially or mostly correct, safe, and usable. Conclusion Based on our findings, ChatGPT can be used as an informative and reliable resource for managing patients with thyroid nodules. While it is not suitable to be used as a primary resource for physicians, it has the potential to be a helpful and supportive tool.

Diurnal Variation of Serum Total Testosterone in Women: A Single-Center Study From Basrah.

Background The diurnal variation of testosterone in women has received limited attention, despite its growing recognition as a crucial factor in female health and well-being. This study aims to investigate the diurnal fluctuations of total testosterone levels in apparently healthy women with regular menstrual cycles. Methodology A cross-sectional study was conducted at Faiha Specialized Diabetes Endocrine and Metabolism Center in July 2023. This study involved 46 apparently healthy women volunteers aged between 21 and 40 years. To explore diurnal variations in total testosterone, blood samples were collected from each participant at two distinct time points, i.e., 8:30 AM and 1:30 PM. These samples were collected regardless of fasting status with the exclusion of the menstruating phase. Results The mean total testosterone level at 8:30 AM was 23.4 ± 12.4 ng/dL and at 1:30 PM was 21.7 ± 12.9 ng/dL, with a p-value of 0.03. Neither age nor body mass index demonstrated a significant impact on testosterone levels. Conclusions This study showed a significant diurnal variation in serum total testosterone levels among apparently healthy women, with higher levels observed in the morning.