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Nevin Manimala Statistics

Are videos uploaded by dental professionals on lip repositioning surgery of higher quality? A youtube video analysis

PLoS One. 2025 Sep 19;20(9):e0327194. doi: 10.1371/journal.pone.0327194. eCollection 2025.

ABSTRACT

Lip repositioning surgery is a minimally invasive procedure used in the treatment of gummy smile. With the increasing demand for aesthetic dental procedures, platforms like YouTube™ have become popular sources for visual health information. This study aimed to evaluate the quality, reliability, and educational value of YouTube™ videos related to lip repositioning surgery and to identify factors influencing video quality. This research was conducted on YouTube™ using the term “lip repositioning” on February 20, 2025. The first 150 videos sorted by relevance were screened. According to the inclusion criteria, 53 videos were recorded. Data such as video duration, upload source, view count, comments, likes/dislikes, and country of origin were recorded. Viewer engagement was analyzed through interaction index and viewing rate. Content was evaluated using the Video Content Quality (VCQ) score, Global Quality Scale (GQS) and DISCERN tool. Statistical analyses were performed with a significance level of P < 0.05. Most videos were uploaded by dentists (64.2%), and 71.7% were educational. The mean VCQ score was 9.98 ± 3.95, indicating low-to-moderate content quality. Videos uploaded by professionals had higher quality scores (p < 0.001), while 56.6% were of poor content quality. Although YouTube™ is a widely used source for health information, videos on lip repositioning surgery lack sufficient educational value and reliability. Professional content creation should be encouraged.

PMID:40972002 | DOI:10.1371/journal.pone.0327194

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Nevin Manimala Statistics

Immune Correlates and Vaccine Immunobridging: Statistical Innovations, Challenges, and Opportunities

J Infect Dis. 2025 Sep 16:jiaf451. doi: 10.1093/infdis/jiaf451. Online ahead of print.

ABSTRACT

In immunobridging, an investigational vaccine is approved based on a randomized trial of this vaccine versus an approved vaccine with an immunogenicity primary endpoint. Justification for immunobridging requires demonstration that meeting trial success criteria implies the investigational vaccine provides worthwhile protection against a relevant endpoint for a context of use. We consider recent statistical approaches whose integration supports immunobridging: (1) variable importance prediction analysis characterizing immune markers as correlates of risk; (2) controlled risk causal analysis evaluating markers as correlates of protection; and (3) transportability analysis combining data from efficacy and immunobridging trials for estimating investigational versus approved relative-vaccine efficacy.

PMID:40971983 | DOI:10.1093/infdis/jiaf451

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Nevin Manimala Statistics

Analyzing the relationship between municipal solid waste generation and urban land use using integrated geospatial and spatial statistical techniques

Integr Environ Assess Manag. 2025 Sep 16:vjaf128. doi: 10.1093/inteam/vjaf128. Online ahead of print.

ABSTRACT

Understanding the spatial variability of municipal solid waste (MSW) generation is critical for informed urban planning and sustainable waste management. This study examines the relationship between land use patterns and MSW generation across the urban ecosystem of Kota City, India, to identify spatial clusters and assess the influence of urban form and density. An integrated geospatial-statistical approach was applied to 146 urban wards using Hotspot Analysis (Getis-Ord Gi*), Global and Local Moran’s I, overlay analysis, and zonal statistics. Waste generation data were spatially linked with land use typologies and population density to detect statistically significant patterns. Daily waste generation ranged from 0.43 to 11.13 metric tons (t/day) across wards. High-intensity hotspots were found in densely populated and mixed-use zones, such as Ward 15 (0.61 kg/person/day) and Ward 5 (0.88 kg/person/day). Spatial autocorrelation analysis confirmed significant clustering (Global Moran’s I = 0.056, z = 2.59, p = 0.009), with prominent hotspots identified in Wards 12, 13 (Kota-North) and Wards 16, 17 (Kota-South) at 99% confidence. Residential zones contributed the highest MSW load (541.97 t/day), followed by industrial (55.69 t/day) and commercial areas (50.20 t/day). Urban land use, population density, and mixed-use zoning significantly influence waste generation patterns. The spatial-statistical framework developed herein provides a scalable decision-support tool for waste planning, zoning policy, and sustainable resource management in rapidly urbanizing cities.

PMID:40971982 | DOI:10.1093/inteam/vjaf128

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Nevin Manimala Statistics

Spatio-temporal analysis of human visceral leishmaniasis in the Central-West region of Brazil from 2010 to 2019

Trans R Soc Trop Med Hyg. 2025 Sep 16:traf092. doi: 10.1093/trstmh/traf092. Online ahead of print.

ABSTRACT

BACKGROUND: Visceral leishmaniasis (VL) is considered a neglected tropical disease with high lethality. This study aimed to analyze the spatio-temporal dynamics of VL in the Central-West region of Brazil, from 2010 to 2019.

METHODS: Using data obtained from the Sistema de Informação de Agravos de Notificações (SINAN) from Brazil and spatio-temporal analysis tools, an ecological study of VL cases was carried out considering each federated unit in the Central-West region from 2010 to 2019.

RESULTS: It was observed that state of Mato Grosso do Sul had the majority of municipalities with high incidence in all temporal series analyzed. A heterogeneous distribution of VL with spatial clustering in the state of Mato Grosso do Sul was observed. Furthermore, Goiás and Mato Grosso also presented high-risk municipalities, with clusters of higher relative risk (RR) observed from 2013 to 2017 in Goiás and from 2010 to 2013 in Mato Grosso.

CONCLUSIONS: Therefore, it is observed that the states of Goiás, Mato Grosso and Mato Grosso do Sul need greater attention to support the adoption of effective measures to control VL in the Brazilian Central-West region.

PMID:40971974 | DOI:10.1093/trstmh/traf092

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Nevin Manimala Statistics

The Effect of Different Types of Olive Oil on Glucose Control and Insulin Sensitivity: A GRADE-Assessed Systematic Review and Dose-Response Meta-Analysis of 51 Randomized Controlled Trials

Nutr Rev. 2025 Sep 15:nuaf099. doi: 10.1093/nutrit/nuaf099. Online ahead of print.

ABSTRACT

BACKGROUND: Olive oil as food is composed mainly of fatty acids and bioactive compounds with diverse and attractive biological activities that have an inverse relationship with insulin resistance and diabetes-related factors. However, the results of available clinical trials are inconsistent. Therefore, we summarized 51 randomized controlled trials (RCTs) and evaluated the association of olive oil intervention with glycemic control in adults.

METHODS: A comprehensive literature search of the PubMed, Scopus, and ISI Web of Sciences databases was performed to identify RCTs investigating the effect of different olive oil types on any glycemic profile component. Quantitative data were synthesized using either a fixed or random-effects model, with a weighted mean difference (WMD) and 95% CI for analysis.

RESULTS: In the primary search, 2705 articles were found, of which 115 were assessed in full text, and 51 trials (n = 4334 participants) were included in the meta-analysis. We found the consumption of olive oil was not associated with statistically significant changes in blood glucose (WMD = -0.04 mg dL-1; 95% CI, -0.1 to 0.02; P = .18; I2 = 27.05%), insulin (WMD = -0.3 µIU mL-1; 95% CI, -0.99 to 0.38; P = .39; I2 = 91.49%), hemoglobin A1c (HbA1c) (WMD = 0.02%, 95% CI, -0.01 to 0.06; P = .21; I2 = 0%) and Homeostatic Model Assessment for Insulin Resistance (HOMA-IR) (WMD = -0.09; 95% CI, -0.25 to 0.06; P = .26; I2 = 73.13%). The nonlinear dose-response analysis showed a significant association between the olive dose and HOMA-IR (P = .024 for nonlinearity). Also, the duration of olive oil intervention showed a significant nonlinear relationship with HOMA-IR (P = .025 for nonlinearity), insulin (P = .002 for nonlinearity), and HbA1c (P = .048 for nonlinearity) in dose-response analysis.

CONCLUSIONS: Our comprehensive review and meta-analysis of 51 RCTs indicate that olive oil consumption by adults does not significantly affect overall glycemic control. However, a daily dose of 25-50 g significantly improves the HOMA-IR parameter, suggesting a potential benefit for diabetes management. These findings highlight the need for further research to fully understand the practical implications of olive oil consumption in diabetes care.

SYSTEMATIC REVIEW REGISTRATION: PROSPERO registration No. CRD42023459523.

PMID:40971936 | DOI:10.1093/nutrit/nuaf099

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Nevin Manimala Statistics

Tests for segregation distortion in higher ploidy F1 populations

G3 (Bethesda). 2025 Sep 15:jkaf212. doi: 10.1093/g3journal/jkaf212. Online ahead of print.

ABSTRACT

F1 populations are widely used in genetic mapping studies in agriculture, where known pedigrees enable rigorous quality control measures such as segregation distortion testing. However, conventional tests for segregation distortion are inadequate for polyploids, as they fail to account for double reduction, preferential pairing, and genotype uncertainty, leading to inflated type I error rates. Prior work developed a statistical framework to address these issues in tetraploids. Here, we extend these methods to higher even ploidy levels and introduce additional strategies to mitigate the influence of outliers. Through extensive simulations, we demonstrate that our tests maintain appropriate type I error control while retaining power to detect true segregation distortion. We further validate our approach using empirical data from a hexaploid mapping population. Our methods are implemented in the segtest R package, available on the the Comprehensive R Archive Network (https://doi.org/10.32614/CRAN.package.segtest).

PMID:40971889 | DOI:10.1093/g3journal/jkaf212

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Nevin Manimala Statistics

Novel Hip MRI Sequence Provides Consistent Osseous Morphology Dimensions for FAI Evaluation Compared With CT

Clin Orthop Relat Res. 2025 Sep 17. doi: 10.1097/CORR.0000000000003682. Online ahead of print.

ABSTRACT

BACKGROUND: Prior studies have reported that imaging evaluation of osseous morphology in femoroacetabular impingement (FAI) is best performed with CT, which exposes patients to ionizing radiation. In recent years, a number of studies have evaluated whether various novel MRI protocols, which do not expose patients to ionizing radiation, can effectively assess osseous morphology in patients with FAI. Our institution incorporated in- and out-of-phase sequences into a routine MRI protocol to better assess acetabular version; however, it is unknown how in- and out-of-phase MRI compares with CT imaging in FAI evaluation.

QUESTIONS/PURPOSES: (1) How reliably do acetabular version measurements taken from in- and out-of-phase MRI agree with acetabular version measurements taken from CT imaging? (2) How similar are hip morphometric measurements taken from routine MRI sequences as compared with hip morphometric measurements taken from hip-specific CT?

METHODS: We conducted a retrospective electronic medical record review of the patients of two attending sports medicine orthopaedic surgeons from May 2014 to May 2024 who were evaluated for symptomatic hips. It is the general practice of these surgeons to obtain both hip-specific CT scans and in- and out-of-phase MRI for patients with suspected FAI. Patients were included if they had a diagnosis of FAI, were older than 12 years of age, underwent hip-specific morphometric CT scanning and in- and out-of-phase MRI of the affected side, and had imaging interpretation performed by fellowship-trained musculoskeletal radiologists at our institution. Hip morphometric measurements were retrospectively recorded from prospectively interpreted radiology reports. Our initial chart review yielded 178 patients (188 hips) with a diagnosis of FAI who underwent both CT and MRI imaging. After the application of inclusion and exclusion criteria, 30 patients (33 hips) lacked an in- and out-of-phase MRI, 11 patients (11 hips) had the imaging performed on contralateral hips, and 42 patients (44 hips) lacked complete morphometric measurements, yielding 95 patients (100 hips) who were included in our study. Our study population comprised 72% (68 of 95) females with a mean ± SD age of 29 ± 9 years and BMI of 25.3 ± 4.7 kg/m2. Of those included, 56 patients had their measurements confirmed by our institution’s fellowship-trained musculoskeletal radiologists to assess for intrarater and interrater reliability. The assessed morphometric measurements included: midcoronal angle, midsagittal angle, alpha angle, femoral neck angle, and femoral neck version at the 1, 2, and 3 o’clock positions. These measurements were statistically compared with intraclass correlation coefficients (ICCs) to assess intermodality measurement agreement and thus determine the reliability between in- and out-of-phase MRI and CT. Each morphometric measurement also underwent t-tests to determine the similarity in measurements between in- and out-of-phase MRI and hip-specific CT sequences.

RESULTS: Acetabular version measurements taken from the unique sequences of in- and out-of-phase MRI demonstrated ICCs of 0.62, 0.67, and 0.80 at 1, 2, and 3 o’clock, respectively. Other morphometric measurements with standard MRI sequencing demonstrated ICCs ranging from a low of 0.41 (poor) for femoral neck angle to a high of 0.73 (moderate) for femoral version. Higher ICCs demonstrate moderate to good agreement between imaging modalities for acetabular version measurements with unique axial sequences of in- and out-of-phase MRI and CT scans. ICC values comparing measurements from routine MRI protocol and CT scans demonstrate poor to moderate agreement in morphometric measurements between imaging modalities. This indicates a reliable agreement in morphometric measurements between in- and out-of-phase MRI and CT and less reliability in agreement for measurements made with routine MRI.

CONCLUSION: The in- and out-of-phase MRI protocol had moderate to good reliability in correlation to CT for evaluating acetabular version in patients with FAI. Hip osseous and soft tissue evaluation may be effectively achieved using in- and out-of-phase MRI axial sequences in addition to routine hip MRI sequences. Surgeons who perform hip arthroscopy may consider being more selective in using CT for evaluating FAI. Future research may incorporate additional MRI sequences to better evaluate FAI hip morphometric measurements.

LEVEL OF EVIDENCE: Level IV, diagnostic study.

PMID:40971886 | DOI:10.1097/CORR.0000000000003682

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Genetic Variants Related to TGF-β Signaling Pathway Modulate Risk of Meniscus Injury: A Multiancestry Genome-wide Association Study

Clin Orthop Relat Res. 2025 Sep 17. doi: 10.1097/CORR.0000000000003679. Online ahead of print.

ABSTRACT

BACKGROUND: Numerous clinical risk factors and moderate heritability have been reported for meniscus injury. However, the genetic etiology of meniscus injury remains understudied. This study was a multiancestry genome-wide association study (GWAS) of meniscus injury aimed at identifying genomic variants that influence risk and elucidating the mechanisms by which they may exert their effects.

QUESTIONS/PURPOSES: (1) Which single nucleotide polymorphisms (SNPs), genes, and molecular pathways are associated with meniscus injury? (2) How do independent SNPs with genome-wide significance alter the expression of genes within cells related to the meniscus? (3) Can a polygenic risk score (PRS) for meniscus injury discriminate between patients with meniscus injury and controls? (4) Does obesity increase the risk of meniscus injury using a Mendelian randomization framework?

METHODS: A meta-analysis of 38,062 patients with meniscus injury and 700,343 control participants was performed using GWAS summary statistics from the NIH’s All of Us and FinnGen cohorts. All of Us provided an ancestrally diverse cohort for a multiancestry GWAS. Functional Mapping and Annotation of Genetic Variants (FUMA) and Meta-Analysis Gene-Set Mining of GWAS (MAGMA) platforms were used to identify genes of interest and perform expression quantitative trait loci and chromatin interaction mapping of SNPs with genome-wide significance. A PRS was developed for European individuals using the FinnGen GWAS and was validated on a European cohort from All of Us. Mendelian randomization assesses putative causal associations between an exposure and outcomes given random assortment of alleles during meiotic recombination and was used to analyze the risk of obesity and meniscus injury.

RESULTS: Twelve independent genome-wide significant loci (p < 5 × 10-8) were identified, and genes UQCC1, BMP6, EGR2, CAPZB, SMG6 were associated with meniscus injury after Bonferroni correction for all identified genes (p < 2.6 × 10-6). A subset of genes identified through MAGMA were enriched in the transforming growth factor-β (TGF-β) signaling pathway. Independent SNPs altered expression of genes related to the TGF-β pathway, including GDF5, BMP6, MMP24, and UQCC1. As an independent intronic SNP of UQCC1, rs2425055 was in chromosomal contact with GDF5OS in mesenchymal stem cells and decreased the expression of GDF5OS. A PRS for meniscus injury demonstrated differences in genetic risk between patients with meniscus injury and control participants (area under the curve 0.53 [95% confidence interval (CI) 0.51 to 0.54], OR per SD increase 1.10 [95% CI 1.05 to 1.15]; p = 3.34 × 10-5). Mendelian randomization demonstrated that genetic predisposition to obesity increased the risk of meniscus injury (OR 1.29 [95% CI 1.24 to 1.34]; p = 9.58 × 10-38).

CONCLUSION: The 12 independent genetic variants identified suggest a genetic contribution to meniscus injury risk across multiple ancestries. These SNPs may modulate meniscus injury risk by modifying genetic expression of key upstream regulators of the TGF-β signaling pathway (GDF5,BMP6,TGF-β2) and related genes (UQCC1,EGR2,MMP24). Although previous studies have implicated BMP6 and EGR2 in meniscus fibrochondrocyte differentiation and adaptive stress responses, our results demonstrate that genetic variation related to these genes modifies meniscus injury risk at a population level. In addition to demonstrating a putative causal relationship between obesity and meniscus injury through Mendelian randomization, we present a validated PRS that predicted risk of meniscal injury.

CLINICAL RELEVANCE: The genes related to meniscus injury identified in this GWAS are promising therapeutic targets for studies on meniscus regeneration. Our validated PRS presents an opportunity to develop screening and prevention strategies for individuals at high risk of meniscus injury.

PMID:40971882 | DOI:10.1097/CORR.0000000000003679

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Low survival in younger adults with Acute Myeloid Leukemia (AML) in Tanzania linked to high disease burden and socioeconomic factors

PLoS One. 2025 Sep 19;20(9):e0332237. doi: 10.1371/journal.pone.0332237. eCollection 2025.

ABSTRACT

BACKGROUND: Acute Myeloid Leukemia (AML) accounts for 20-25% of all leukemia diagnosed worldwide. According to Globoccan 2020, leukemia ranked the 15th most prevalent cancer with an estimated 474,519 new cases and 311,594 deaths annually. However, due to scarcity of well documented cancer registries, epidemiological and survival data of patients with AML is lacking in many African countries, including Tanzania. Therefore, the primary objective of this study was to determine the clinical features, laboratory characteristics and survival outcomes of AML patients treated with different regimens in Tanzania.

METHODS: Data from all adult patients diagnosed with AML at Muhimbili National Hospital (MNH) between January 2018 and December 2023 were analyzed in this retrospective study. STATA version 16 was used for data analysis. The survival outcome was calculated using the Kaplan-Meier method. To evaluate the statistical significance of the results, a p-value cut-off of 0.05 was used. The Cox proportional hazards model was used to identify predictors of survival and to estimate the effect of covariates on the hazard of death. Kruskal Wallis was used to compare the median values for laboratory results and pairwise comparison of median laboratory values was done using the Dunn Test.

RESULTS: A total of 245 patients were diagnosed with acute leukemia during the five-year period (2018-2023), of which 169 (68%) had AML. The mean age at diagnosis was 47.2 (SD ± 18.5) years. Majority of the patients were females (60.7%), and had de novo AML. Most of the patients presented with symptoms of anemia (98.2%) and fever (79.5%). The median survival time was 81 days with a one-year overall survival probability of 15.2%. Patients that resided outside of the Dar es Salaam region had a 74% increase hazard of mortality compared to those living within the Dar es Salaam region (aHR: 1.74, 95% CI: 1.15-2.64, p = 0.008). Patients receiving any form of chemotherapy had a 39% lower hazard of mortality compared to those who were on supportive treatment alone (aHR: 0.61, 95% CI: 0.40-0.93, p = 0.022).

CONCLUSION: AML is the most common acute leukemia among adults in Tanzania, primarily affecting young females under 50 years. Resource constraints and limited treatment options result in poor outcomes, with a median survival of 81 days and one-year overall survival of 15.2%.

PMID:40971875 | DOI:10.1371/journal.pone.0332237

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Evaluating the role of LLMs in supporting patient education during the informed consent process for routine radiology procedures

Br J Radiol. 2025 Sep 15:tqaf225. doi: 10.1093/bjr/tqaf225. Online ahead of print.

ABSTRACT

OBJECTIVES: This study evaluated three LLM chatbots (GPT-3.5-turbo, GPT-4-turbo, and GPT-4o) on their effectiveness in supporting patient education by answering common patient questions for CT, MRI, and DSA informed consent, assessing their accuracy and clarity.

METHODS: Two radiologists formulated 90 questions categorized as general, clinical, or technical. Each LLM answered every question five times. Radiologists then rated the responses for medical accuracy and clarity, while medical physicists assessed technical accuracy using a Likert scale. semantic similarity was analyzed with SBERT and cosine similarity.

RESULTS: Ratings improved with newer model versions. Linear mixed-effects models revealed that GPT-4 models were rated significantly higher than GPT-3.5 (p < 0.001) by both physicians and physicists. However, physicians’ ratings for GPT-4 models showed a significant performance decrease for complex modalities like DSA and MRI (p < 0.01), a pattern not observed in physicists’ ratings. SBERT analysis revealed high internal consistency across all models. SBERT analysis revealed high internal consistency across all models.

CONCLUSION: Variability in ratings revealed that while models effectively handled general and technical questions, they struggled with contextually complex medical inquiries requiring personalized responses and nuanced understanding. Statistical analysis confirms that while newer models are superior, their performance is modality-dependent and perceived differently by clinical and technical experts.

ADVANCES IN KNOWLEDGE: This study evaluates the potential of LLMs to enhance informed consent in radiology, highlighting strengths in general and technical questions while noting limitations with complex clinical inquiries, with performance varying significantly by model type and imaging modality.

PMID:40971869 | DOI:10.1093/bjr/tqaf225