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Nevin Manimala Statistics

Posterior predictive checks for the detection of extreme response style

Behav Res Methods. 2025 Jul 25;57(9):234. doi: 10.3758/s13428-025-02756-6.

ABSTRACT

Extreme response style (ERS), the tendency of participants to select extreme item categories regardless of the item content, has frequently been found to decrease the validity of Likert-type questionnaire results (e.g., Moors, European Journal of Work and Organizational Psychology, 21, 271-298, 2012). For this reason, detecting ERS at both the group and individual levels is of paramount importance. While various approaches to detecting ERS exist, these may conflate ERS with the trait of interest, require additional questionnaires to be administered, or require the use of mixture or multidimensional IRT models. As an alternative approach to detecting ERS, Bayesian posterior predictive checks (PPCs) may be a viable option. Posterior predictive checking offers a highly customizable framework for detecting model misfit, which can be directly applied to frequently used unidimensional IRT models. Critically, the use of PPCs to detect ERS does not require strong assumptions regarding the nature of ERS, such as ERS being a continuous dimension or a categorical trait. In this paper, we thus apply PPCs to a generalized partial credit model to detect model misfit related to ERS on both the group and person levels. We propose various possible PPCs tailored to ERS, which are illustrated in an empirical example, and their performance in detecting ERS is examined under various conditions. Suggestions for practical applications are provided, and avenues for future research are explored.

PMID:40715867 | DOI:10.3758/s13428-025-02756-6

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Nevin Manimala Statistics

Evaluation of a community-based remotely delivered exercise program (2Unstoppable Strong) for women diagnosed with cancer

Support Care Cancer. 2025 Jul 25;33(8):721. doi: 10.1007/s00520-025-09772-4.

ABSTRACT

PURPOSE: Few remote-delivered physical activity (PA) interventions leverage a community-academic partnership, which may impact sustainability. The current study aimed to assess the satisfaction with a community-based remote-delivered group-based PA program (2Unstoppable Strong) among women diagnosed with cancer and the preliminary impact of the intervention on exploratory outcomes (PA levels, perceived social support, exercise self-efficacy, barrier self-efficacy, and health-related quality of life).

METHODS: Online questionnaires were administered at baseline (T0), post-program (T1), and follow-up (T2). Quantitative analyses included descriptive statistics and repeated measures analyses of variance. Open responses at the end of the questionnaire were used to identify areas of improvement. Content analysis was used to analyze the open response data.

RESULTS: Participants rated 2Unstoppable Strong as satisfactory (Mscore = 4.7, SD = 0.54; Mrange = 2.93 to 5.00). Moderate-to-vigorous physical activity significantly increased from T0 to T1 to T2 (F (2, 34) = 3.5, p < .05). From T0 to T1 to T2, both perceived social support quantity (F (2, 34) = 18.6, p < .001) and quality (F (2, 34) = 13.9, p < .001) significantly increased. All exploratory outcomes did not significantly change. Participants enjoyed interacting with the trustworthy instructors and found the videoconferencing software convenient to use. Areas for improvement included facilitating social interaction within the exercise group, increasing the intervention duration, and providing additional sessions.

CONCLUSIONS: Based on the promising findings, future hybrid implementation-effectiveness studies with larger and more-diverse populations are needed to examine the impact of 2Unstoppable Strong on cancer-related outcomes.

PMID:40715849 | DOI:10.1007/s00520-025-09772-4

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Nevin Manimala Statistics

Positive and negative role of random perturbations in the dynamics of a tumor-immune system with treatment

J Math Biol. 2025 Jul 26;91(2):20. doi: 10.1007/s00285-025-02251-8.

ABSTRACT

The paper aims to study the constructive role of noise in tumor dynamics. Mathematical investigation of this problem is carried out on the basis of a model of dynamic interaction between effector and tumor cells under conditions of chemotherapy. For the deterministic variant of the model, zones of mono-, bi-, and tristability are defined depending on the bifurcation parameter of treatment intensity. We find equilibrium and oscillatory attractors associated with active, dormant and zero tumor states. The paper studies how, depending on the chemotherapy intensity, random disturbances transform the active tumor mode into the dormant, or even zero state providing the main target of treatment. We also find conditions generating stochastic transitions of the tumor-immune system from the dormant tumor to the regime of active tumor. In the mathematical study of the positive and negative role of random noise, along with direct numerical simulation and statistical processing, we use the analytical confidence domain method.

PMID:40715848 | DOI:10.1007/s00285-025-02251-8

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Nevin Manimala Statistics

Factors contributing to instability after primary total knee arthroplasty: a twenty five Year retrospective cohort study

Int Orthop. 2025 Jul 26. doi: 10.1007/s00264-025-06620-2. Online ahead of print.

ABSTRACT

BACKGROUND: Total knee arthroplasty (TKA) is a highly effective procedure for end-stage knee osteoarthritis, but postoperative instability remains a major concern, impacting patient satisfaction and leading to potential revision surgeries. Understanding patient-related risk factors for instability is crucial for optimizing outcomes and minimizing complications.

METHODS: We conducted a retrospective cohort study of patients who underwent revision TKA at our clinic between 1996 and 2021, focusing on those who required revision specifically due to instability. We analyzed a dataset of 39,572 primary TKA patients without documented revisions and 859 revision patients. Data extraction included age, gender, body mass index (BMI), age-adjusted Charlson Comorbidity Index (CCI) score, and comorbidities. Statistical analyses, including binary logistic regression, were performed to identify independent risk factors for instability.

RESULTS: The instability group (n = 859) had a mean age of 65.7 years and a significantly lower proportion of males compared to the control group (mean age 67.5 years, p < 0.001; males 30.7% vs. 38.1%, p < 0.001). Notable risk factors included younger age, female gender, stroke, deep vein thrombosis (DVT), and scleroderma. Specifically, scleroderma was associated with a high risk of instability (P < 0.01 OR [odds ratio] 9.27, CI [confidence interval] 2.01 to 42.7), stroke (P = 0.01 OR 1.8, CI: 1.1 to 3.1), and DVT (p < 0.01 OR: 2.0, CI: 1.4 to 2.8).

CONCLUSION: Patient-related factors such as younger age, female gender, stroke, DVT, and scleroderma significantly influence the risk of instability following primary TKA. These findings highlight the multifactorial nature of TKA instability and underscore the importance of tailored preoperative assessment and postoperative care. Addressing these risk factors can improve patient outcomes and reduce the incidence of instability following TKA.

PMID:40715844 | DOI:10.1007/s00264-025-06620-2

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Nevin Manimala Statistics

Metal elements in the hair of Kerman taxi drivers: association with influencing factors

Environ Geochem Health. 2025 Jul 26;47(9):339. doi: 10.1007/s10653-025-02585-8.

ABSTRACT

Urban air pollution caused by car emissions and industrial activities is one of the most salient causes of health threat in urban areas. Considering that taxi drivers are exposed to such pollutants all the time for several hours, the present study sought to determine the level of metal elements in the hair of this working population and to examine the determining factors.In this study, hair samples from 88 taxi drivers in Kerman city were analyzed for concentrations of iron, copper, chromium, cadmium, zinc, lead, aluminum, cobalt, and nickel using ICP-OES instrument. The relationship between metal elements (MEs) and influencing factors was investigated using Spearman’s test. Mean group differences were evaluated with Kruskal-Wallis and Mann-Whitney tests. Nickel had no strong correlation with chromium, cadmium and aluminum (rho = 0.2; Sig < 0.05). Other MEs exhibited strong positive correlations with each other, with iron showing the strongest correlation (rho = 0.34 to 0.84; Sig < 0.05), indicating that the elements may have originated from common sources. Age exhibited a significant positive correlation with nickel levels (rho = 0.47; Sig < 0.01). Using the Mann-Whitney U test, a significant difference was observed in the average nickel concentration between the hair of young and middle-aged drivers (Sig = 0.006). In addition, hair nickel levels were significantly different among drivers in the northern, western and eastern regions of the city (Sig < 0.03). However, there was no significant difference in nickel levels between drivers with less than a decade of work experience and those with over a decade (Sig > 0.05). About 75% of samples had lead concentrations below 18 mg/kg, while 25% had levels exceeding this.

PMID:40715843 | DOI:10.1007/s10653-025-02585-8

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Nevin Manimala Statistics

Quantifying whole lung iron oxide deposition with dual-energy CT for diagnosis of arc-welders’ pneumoconiosis

Eur Radiol. 2025 Jul 25. doi: 10.1007/s00330-025-11839-z. Online ahead of print.

ABSTRACT

OBJECTIVES: Accurately quantify pulmonary iron oxide by dual-energy CT (DECT) and evaluate its diagnostic potential in arc-welders’ pneumoconiosis (AWP).

MATERIALS AND METHODS: This prospective, single‑center diagnostic accuracy study (April 2024 to October 2024) included three groups: welders, mimic-imaging, and healthy controls. DECT quantified whole-lung Fe2O3 density (mg/cm³) [DFe2O3] and total Fe2O3 mass (mg) [Total-Fe2O3]. Maximal diameter and DFe2O3 for the largest nodule and the subjective grading on imaging features were also collected. Receiver operating characteristic (ROC) analysis was used to evaluate diagnostic performance. In vitro experiments, ten 30 mL tubes containing Fe2O3 solutions (0-12 mg/mL, in triplicate) were scanned immediately after preparation. ROIs were analyzed, and averaged values were linearly regressed with actual concentrations.

RESULTS: In vitro experiments showed a strong correlation between measured and actual Fe2O3 concentrations (r = 1.00, p < 0.01). One hundred forty participants were included: 50 welders (mean age, 44.5 years ± 20.25;47 male), 35 mimic-imaging controls (mean age, 51.0 years ± 10.0; 34 male), and 55 healthy controls (mean age, 48.0 years ± 19.0; 41 male). Welders had higher DFe₂O₃ (0.934 ± 0.50 mg/cm³) and Total-Fe2O3 (4082.6 ± 2503.1 mg) than mimic (0.346 ± 0.28 mg/cm3; 1376.1 ± 1514.9 mg) and healthy controls (0.371 ± 0.24 mg/cm3; 1374.1 ± 896.2 mg) (all p < 0.001). DFe2O3 distinguished welders from healthy controls with AUC 0.911 [95% CI: 0.840-0.958], sensitivity 82.0%, specificity 92.7%, and from mimic controls with AUC 0.900 [95% CI: 0.816-0.954], sensitivity 84.0%, specificity 82.9%. In vitro experiments showed a strong correlation (r = 1.00, p < 0.01) between actual and measured concentrations.

CONCLUSION: Quantification of pulmonary iron oxide deposition using DECT can aid in the differential diagnosis of AWP.

KEY POINTS: Question Due to overlapping imaging features between AWP and other diffuse pulmonary diseases, a definitive diagnosis is difficult based solely on imaging. Findings Pulmonary DFe2O3 and Total-Fe2O3 by DECT showed high diagnostic accuracy (AUCs > 0.90) for distinguishing welders’ pneumoconiosis from both mimic-imaging and healthy controls. Clinical relevance Non-invasive DECT Fe2O3 quantification improves the differential diagnosis of AWP, and enables targeted monitoring of occupational exposure, enhancing patient outcomes and occupational health management.

PMID:40715825 | DOI:10.1007/s00330-025-11839-z

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Nevin Manimala Statistics

Association of layer-specific knee cartilage T2-relaxation measurements with age, sex and cartilage morphology at 1.5-T MRI

Eur Radiol. 2025 Jul 25. doi: 10.1007/s00330-025-11806-8. Online ahead of print.

ABSTRACT

OBJECTIVE: This study aimed to establish normal knee cartilage T2-values at 1.5-Tesla, assess the influence of age and sex on T2-values, and compares T2-times between subjects with and without morphological cartilage changes.

MATERIALS AND METHODS: A sagittal 2D T2-weighted multi-slice multi-echo sequence (MSME) sequence with automatic generation of a color-coded T2-map was acquired at 1.5-Tesla in 929 volunteers (ages 28-89) from the Study-of-Health-in-Pomerania TREND-1 cohort. Knee morphology was assessed with the modified Noyes Score in eight cartilage regions. T2 measurements were performed manually in seven cartilage regions, including superficial and deep cartilage layers.

RESULTS: Subjects with normal cartilage morphology (300 subjects) showed significant T2-value differences across cartilage regions (p ≤ 0.001), with higher values in femoral cartilage and superficial layers. T2-values increased with age (p ≤ 0.001), and women had higher T2-values in the femoral, tibial, and medial femorotibial compartments. The subjects with evidence of pathological cartilage morphology changes (629 subjects) had higher T2-values compared to the subjects with structurally normal knee cartilage in MRI (p ≤ 0.001).

CONCLUSIONS: This study provides population-based 1.5-Tesla knee cartilage T2-values, showing age-related increases and higher values in superficial and femoral layers. Pathological cartilage morphology was associated with elevated T2-values.

KEY POINTS: Question This study examines early cartilage degeneration by establishing normal T2-values and analyzing how demographics and morphological cartilage changes impact these values. Findings T2-times were higher in superficial femoral cartilage but lower in retropatellar, tibial cartilage, and deep layers, increasing with age and pathological cartilage changes. Clinical relevance This study establishes normal T2-values for knee cartilage at 1.5-Tesla, identifies age- and sex-related variations, and associates elevated T2-values to morphological cartilage changes, enhancing cartilage health understanding and early diagnostic precision.

PMID:40715824 | DOI:10.1007/s00330-025-11806-8

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Nevin Manimala Statistics

Radiofrequency ablation for patients with primary hyperparathyroidism: a multicenter non-randomized open-label single-arm prospective clinical trial

Eur Radiol. 2025 Jul 25. doi: 10.1007/s00330-025-11860-2. Online ahead of print.

ABSTRACT

OBJECTIVES: To evaluate the efficacy, safety, and factors influencing the response to radiofrequency ablation (RFA) in patients with primary hyperparathyroidism (PHPT) in a prospective multicenter trial.

MATERIALS AND METHODS: Between September 2022 and June 2024, 34 patients with 35 parathyroid lesions who either refused surgery or were ineligible for it underwent RFA for treatment of PHPT across three hospitals. Nodule size, volume, and biochemical data were compared before and after treatment (at 2 h, 1 week, and 1, 3, 6, and 12 months). Complications were assessed during and after treatment. Factors influencing the treatment response to RFA for PHPT were analyzed.

RESULTS: Significant reductions in nodule size and volume, as well as improvements in serum parathyroid hormone (PTH) and total calcium levels, were noted at the 3-, 6-, and 12-month follow-ups after RFA (all p < 0.05). Out of the 34 patients, 17 experienced a complete response with normalized serum PTH and calcium levels (50.0%), whereas 17 showed a partial response (50.0%) (median number of sessions 1). The initial serum PTH level was a key factor associated with the treatment response to RFA, with an area under the receiver operating characteristic curve of 0.853 using a PTH cutoff value of ≥ 118 pg/mL. Transient voice change (n = 1) and hypocalcemia (n = 1) were reported after the procedure.

CONCLUSION: In selected cases, RFA is a safe and effective treatment option for patients with PHPT. The initial PTH level of < 118 pg/mL is associated with achieving a biochemical cure after a single treatment.

KEY POINTS: Question The efficacy of radiofrequency ablation in treating primary hyperparathyroidism remains unclear due to limited evidence, highlighting the need for further study. Findings In this prospective multicenter study, the complete response rate was 50.0%, with 79.4% achieving normocalcemia. Baseline serum parathyroid hormone levels significantly influenced treatment response. Clinical relevance Radiofrequency ablation is a safe and effective treatment for selected patients with primary hyperparathyroidism, especially those who are ineligible for surgery. Initial serum parathyroid hormone levels predict the likelihood of achieving a biochemical cure after a single treatment.

PMID:40715823 | DOI:10.1007/s00330-025-11860-2

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Nevin Manimala Statistics

Diagnostic performance of artificial intelligence models for pulmonary nodule classification: a multi-model evaluation

Eur Radiol. 2025 Jul 25. doi: 10.1007/s00330-025-11845-1. Online ahead of print.

ABSTRACT

OBJECTIVES: Lung cancer is the leading cause of cancer-related mortality. While early detection improves survival, distinguishing malignant from benign pulmonary nodules remains challenging. Artificial intelligence (AI) has been proposed to enhance diagnostic accuracy, but its clinical reliability is still under investigation. Here, we aimed to evaluate the diagnostic performance of AI models in classifying pulmonary nodules.

MATERIALS AND METHODS: This single-center retrospective study analyzed pulmonary nodules (4-30 mm) detected on CT scans, using three AI software models. Sensitivity, specificity, false-positive and false-negative rates were calculated. The diagnostic accuracy was assessed using the area under the receiver operating characteristic (ROC) curve (AUC), with histopathology serving as the gold standard. Subgroup analyses were based on nodule size and histopathological classification. The impact of imaging parameters was evaluated using regression analysis.

RESULTS: A total of 158 nodules (n = 30 benign, n = 128 malignant) were analyzed. One AI model classified most nodules as intermediate risk, preventing further accuracy assessment. The other models demonstrated moderate sensitivity (53.1-70.3%) but low specificity (46.7-66.7%), leading to a high false-positive rate (45.5-52.4%). AUC values were between 0.5 and 0.6 (95% CI). Subgroup analyses revealed decreased sensitivity (47.8-61.5%) but increased specificity (100%), highlighting inconsistencies. In total, up to 49.0% of the pulmonary nodules were classified as intermediate risk. CT scan type influenced performance (p = 0.03), with better classification accuracy on breath-held CT scans.

CONCLUSION: AI-based software models are not ready for standalone clinical use in pulmonary nodule classification due to low specificity, a high false-negative rate and a high proportion of intermediate-risk classifications.

KEY POINTS: Question How accurate are commercially available AI models for the classification of pulmonary nodules compared to the gold standard of histopathology? Findings The evaluated AI models demonstrated moderate sensitivity, low specificity and high false-negative rates. Up to 49% of pulmonary nodules were classified as intermediate risk. Clinical relevance The high false-negative rates could influence radiologists’ decision-making, leading to an increased number of interventions or unnecessary surgical procedures.

PMID:40715822 | DOI:10.1007/s00330-025-11845-1

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Nevin Manimala Statistics

Men with delayed ejaculation report lower sexual satisfaction and more depressive symptoms than those with premature ejaculation: findings from a cross-sectional study

Int J Impot Res. 2025 Jul 25. doi: 10.1038/s41443-025-01131-5. Online ahead of print.

ABSTRACT

Delayed ejaculation (DE) is among the most challenging male sexual dysfunctions. We aim to explore and compare socio-demographic and clinical characteristics of men with self-reported DE and primary premature ejaculation (PE). Data from 555 consecutive men seeking first medical help for DE or primary PE were retrospectively analyzed. Socio-demographic, clinical, laboratory data, and self-reported symptoms of anxiety and depression were collected. Patients completed International Index of Erectile Function (IIEF) and Beck Depression Inventory (BDI). We excluded men who had undergone pelvic surgery. Descriptive statistics compared clinical and socio-demographic characteristics. Linear regression models tested the association between depressive symptoms and baseline IIEF domain scores among men with DE. Of 555 patients, 479(86.3%) and 76(13.7%) had PE and DE, respectively. Men with DE were significantly older than those with PE [47(34-63.5) vs. 44(33-53), P = 0.01]. Conversely, men with PE depicted a CCI ≥ 1 more frequently compared to those with DE [17(22.4%) vs. 53(11.1%); P = 0.01]. The two groups did not differ regarding relational status, BMI, waist circumference, and hormonal milieu. Men with DE reported more frequently symptoms referable to anxiety and depression (P = 0.001) along with higher median (IQR) baseline BDI scores [8(4.8-14.3) vs. 6(2-10); P = 0.01], lower median IIEF-orgasmic function (OF) [6(5-9) vs. 9(6-10); P = 0.003] and IIEF-sexual desire (SD) [7(5.8-8) vs. 8(6-9); P = 0.001] domain scores compared to men with PE. At linear regression analysis, in men with DE, the higher the BDI score the lower the IIEF-overall satisfaction [β = -1.57, CI(-2.60, -0.53), P = 0.004], and the lower the IIEF-intercourse satisfaction [β = -0.76, CI(-1.29, -0.16), P = 0.01] domain scores. Conversely, no association between BDI and IIEF-OF, -SD, and -erectile function domain scores were found. Of men complaining of ejaculatory disorders, one out of ten reports DE. Patients with DE have higher chances to report clinically significant depression which can significantly impact their overall sexual satisfaction.

PMID:40715810 | DOI:10.1038/s41443-025-01131-5