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Nevin Manimala Statistics

Residential segregation of Black and Latinx older adults and brain imaging outcomes

Soc Sci Med. 2026 Jan 16;393:118995. doi: 10.1016/j.socscimed.2026.118995. Online ahead of print.

ABSTRACT

Ethnoracial segregation has been associated with worse cognitive functioning among Black older adults, while its impact on Latinx individuals is less clear. We investigated whether Black and Latinx older adults living in segregated neighborhoods demonstrate worse magnetic resonance imaging (MRI) outcomes. We used data on participants from the University of California Davis Alzheimer’s Disease Research Center. MRI outcomes included hippocampal and white matter hyperintensity (WMH) volumes. Black and Latinx segregation was defined using the Getis-Ord (Gi∗) statistic, which compares the proportion of Black or Latinx residents, respectively, in the participant’s Census tract to surrounding neighborhoods and greater study region (higher Gi∗ = greater clustering/segregation). Multivariable linear regression analyses examined associations between Gi∗ segregation measures and MRI outcomes, stratified by the participants’ ethnoracial group (Black, Latinx, or White). Participants (n = 269) were on average 74 ± 7 years of age and 24 % were Black, 25 % were Latinx, and 51 % were White. In adjusted analyses, Black participants in more Latinx segregated neighborhoods had lower hippocampal volumes, and Latinx participants in more Black segregated neighborhoods had lower hippocampal volumes. Latinx participants in more Latinx segregated neighborhoods had greater white matter hyperintensity volumes. Overall, Black and Latinx but not White participants living in segregated neighborhoods had worse MRI outcomes. Future studies are needed to replicate our findings in geographically diverse samples and to elucidate the potential psychosocial/social determinant and biological mechanisms that relate segregation to brain health (e.g., Latinx segregated neighborhoods may have fewer recreational and physical activity resources to promote healthy lifestyles).

PMID:41576475 | DOI:10.1016/j.socscimed.2026.118995

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Nevin Manimala Statistics

Investigating trophoblast invasion and angiogenesis expression changes in a caloric deficient mouse model of fetal growth restriction

Reprod Biol. 2026 Jan 21;26(2):101179. doi: 10.1016/j.repbio.2026.101179. Online ahead of print.

ABSTRACT

Fetal growth restriction (FGR) is a severe pregnancy complication often caused by placental insufficiency. Proper trophoblast invasion is essential for placental development and function, ensuring adequate nutrient and oxygen supply to the developing fetus. Dysregulation impairs placental perfusion, leading to FGR. This study uses a calorie-restricted mouse model to investigate genes/molecular mechanisms regulating trophoblast invasion across gestational timepoints. Pregnant mice received either a standard or 50 % calorie-restricted diet from E8.5. Placentas and invasion sites were analyzed at E10.5, E12.5, E14.5, E16.5, and E17.5. mRNA sequencing and RT/qPCR examined trophoblast invasion-related genes (Mmp2, Mmp9, Efna1, Rac1, Rras, Ascl2, Tfap2c, Prl7b1) and angiogenesis genes (Vegfa, Vegfb, Pdgf, Akt3). Immunohistochemistry of trophoblast cells (cytokeratin 8, CK8) and endothelial cell markers (endomucin, CD31, CCD105, VEGFR2) was performed. Statistical analysis used Student’s t-test. Caloric restriction significantly reduced fetal/placental weights from E12.5, with persistent growth restriction at E16.5, and E17.5. IHC at E17.5 showed reduced decidual depth, trophoblast invasion distance, and trophoblast quantity within the decidua. This impaired growth was accompanied by reduced expression of trophoblast invasion genes (Mmp2, Mmp9, Efna1, Rac1, Rras, Ascl2, Tfap2c, Prl7b1) in FGR placentas, with a reduction in CK8 trophoblast staining. Angiogenesis reduction in FGR was demonstrated with reduced Vegfa, Vegfb, and Akt3 and supported by reduced CD31, CD105, and VEGF2 endothelial cell markers A caloric-restriction mouse model replicates key FGR pathophysiology, including reduced fetal/placental growth, downregulation of trophoblast invasion genes, impaired trophoblast invasion into the decidua, and reduced placenta angiogenesis. These findings offer molecular insights into placental insufficiency that merits further exploration regarding FGR pathogenesis.

PMID:41576455 | DOI:10.1016/j.repbio.2026.101179

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Nevin Manimala Statistics

Visualizing the ‘Invisible Threats’ in real-world scenarios: A universal approach for rapid detection of chemical warfare agents and pesticides

J Hazard Mater. 2026 Jan 17;503:141192. doi: 10.1016/j.jhazmat.2026.141192. Online ahead of print.

ABSTRACT

The design and development of a universal detection system for toxic chemicals such as chemical warfare (CW) agents and pesticides offers a promising solution for safety and surveillance in defense, environment, and health sectors. The ability to detect a wide spectrum of these hazardous chemicals rapidly, simply, and cost-effectively through a visible color change provides a highly practical and impactful tool. This manuscript introduces a universal platform that enables the detection of nerve agents, blister agents, and organophosphorus (OP) pesticides using 5,5′-dithiobis-(2-nitrobenzoic acid) (DTNB) as a central probe through two distinct strategies. For nerve agent detection, 1-phenylbutane-1,2,3-trione-2-oxime (1) reacts with nerve agents to form an intermediate, phosphorylated oxime (5). This intermediate rapidly decomposes, releasing cyanide ions that subsequently react with DTNB to produce a ‘turn-on’ response. Blister agents are identified through their rapid reaction with sodium thiosulfate at room temperature, forming Bunte salts that do not interact with DTNB, resulting in a ‘turn-off’ response. Beyond nerve and blister agents, the applicability of this strategy was further expanded to detect OP pesticides, highlighting its broad-spectrum potential. The approach effectively overcomes the challenge of achieving high specificity amid potentially cross-reactive substances. Moreover, this platform also demonstrated a robust performance across diverse matrices, including soil, water, and fruit. Recovery experiments in soil showed acceptable precision, underscoring both the reliability of the method and its environmental relevance. To facilitate real-time field deployment for first responders, a portable sensor kit was fabricated to visually detect CW agents and OP pesticides. Smartphone-assisted colorimetric analysis of a detector paper delivered reliable analytical performance, exhibiting statistically validated sensitivity and reproducible responses.

PMID:41576450 | DOI:10.1016/j.jhazmat.2026.141192

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Nevin Manimala Statistics

Decoding Data Science Upskilling: Insights From 5 Years of Data Science Projects at the Centers for Disease Control and Prevention, 2019-2023

J Public Health Manag Pract. 2026 Mar-Apr 01;32(2):260-267. doi: 10.1097/PHH.0000000000002284. Epub 2025 Nov 24.

ABSTRACT

CONTEXT: Public health organizations are increasingly recognizing the value and potential of data science. However, a gap remains in understanding how data science is being applied in public health.

OBJECTIVE: This article provides a comprehensive overview of data science applications in real-world public health settings. By describing the characteristics of projects supported by the Centers for Disease Control and Prevention’s Data Science Upskilling (DSU) program during 2019-2023, we seek to guide future efforts in public health data science workforce development and data modernization.

METHODS: We manually reviewed DSU applications and final presentations about the projects compiled during 2019-2023. We analyzed projects based on 7 characteristics, including public health domain and task, data science topic and method, data modality, tools, and programming languages used.

RESULTS: DSU supported 112 data science projects across 5 annual cohorts (2019-2023). Many projects addressed the COVID-19 pandemic (13%), infectious diseases (13%), and vaccines (11%). Approximately half the projects used data visualization (54%) and statistics (51%), with 42% employing artificial intelligence (AI) and machine learning (ML). Furthermore, 52% of projects were designed to support decision making, and 22% sought to improve processes and programs. Learners primarily used RStudio (50%), Jupyter Notebooks (41%), and Power BI (26%), along with Python (56%) and R (55%). AI and ML use increased from 33% of projects in 2019 to 56% in 2023, demonstrating an evolving focus on advanced methodologies.

CONCLUSIONS: Many teams prioritized data visualization, such as dashboards and visualization tools to support decision making, indicating opportunities for additional infrastructure and training in this area. We observed increasing use of AI and ML, suggesting a need for staff upskilling in these domains. Optimally leveraging data science technologies will require workforce development strategies and data modernization efforts to keep pace with the rapidly evolving field.

PMID:41576408 | DOI:10.1097/PHH.0000000000002284

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Nevin Manimala Statistics

Advancing Transportation Safety Using a Public Health Approach: The North Carolina Vision Zero Collaborative Support Model

J Public Health Manag Pract. 2026 Mar-Apr 01;32(2):179-190. doi: 10.1097/PHH.0000000000002290. Epub 2025 Nov 24.

ABSTRACT

CONTEXT: Vision Zero (VZ) is a road safety initiative that seeks to address the problem of road fatalities using a Safe System approach, a holistic endeavor embedded in public health principles that seeks to build layers of protection across transportation systems to eliminate road fatalities and serious injuries. Since 2020, a multidisciplinary research team established a statewide collaborative to support communities pursuing VZ initiatives across North Carolina.

PROGRAM: The North Carolina VZ collaborative “support model” was created to meet the need for community-based, multisector efforts using a Safe System approach. The support model aims to increase community capacity to more effectively build cross-disciplinary coalitions, pool needed resources, and strengthen adaptive leadership skills to reduce roadway fatalities.

IMPLEMENTATION: The support model approach is used to engage communities in building skills in cross-sector collaboration, adaptive leadership, and evidence-based safety procedures. This is accomplished through structured monthly touchpoint meetings with small groups of community partners for peer learning, quarterly “all-hands” meetings to coordinate efforts across the state and provide resources, and an annual team-based multiday Leadership Institute.

EVALUATION: From 2020 to 2025, there was notable growth in community participation, from 7 to 33 communities. Of communities with more than 1 year of participation (n = 19), more than half advanced VZ implementation with communities moving from an exploration stage to an installation (n = 8) or initial implementation (n = 2) stage. In 2023, interviews with partner community leads (n = 15) indicated that partners utilized resources provided, applied skills they learned at the Leadership Institute, benefited from the peer network, and identified opportunities for increasing the benefits of the support model.

DISCUSSION: The support model demonstrates a promising practice for increasing capacity building and cross-sector collaboration for road safety initiatives requiring complex systems change such as VZ.

PMID:41576406 | DOI:10.1097/PHH.0000000000002290

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Nevin Manimala Statistics

Evaluating Field Placement Competencies and Workforce Readiness in Region IV Public Health Training Center

J Public Health Manag Pract. 2026 Mar-Apr 01;32(2):175-178. doi: 10.1097/PHH.0000000000002301. Epub 2025 Nov 24.

ABSTRACT

Developing a skilled governmental public health workforce requires intentional training opportunities that extend beyond foundational skills. Field placement programs, offered through the Public Health Training Center Network, provide students with practical experience while supporting agency capacity. This Practice Brief Report examines governmental public health field placements sponsored by the Region IV Public Health Training Center between 2019 and 2024 (n = 75). Student evaluations showed frequent practice in data analytics and assessment, policy development and program planning, and communication skills, areas reflecting organizational strengths. However, the findings of Public Health Workforce Interest and Needs Survey highlighted critical workforce gaps in higher-level skills such as budget and financial management, policy engagement, and leadership and systems thinking. Field placement experiences offer an opportunity to introduce students to these complex competencies early in their careers. Intentionally integrating higher-level skills into placement design can strengthen student preparation and help ensure a future workforce ready to address evolving public health challenges.

PMID:41576405 | DOI:10.1097/PHH.0000000000002301

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Nevin Manimala Statistics

Comparison of 4 registration methods in pediatric patients undergoing robot-assisted stereoelectroencephalography lead placement

J Neurosurg Pediatr. 2026 Jan 23:1-6. doi: 10.3171/2025.9.PEDS258. Online ahead of print.

ABSTRACT

OBJECTIVE: Electrode placement using robot-assisted stereoelectroencephalography (SEEG) has been proven a safe and accurate technique in children. As its use increases, understanding the impact of registration methods and patient-specific factors on placement accuracy is crucial. The aim of this study was to compare 4 registration methods and to evaluate factors associated with lead placement error.

METHODS: This retrospective case series included pediatric patients who underwent robot-assisted SEEG from January 2019 to April 2022 at a single institution. Placement accuracy was assessed at both the inner skull table and the prespecified target using 4 registration techniques: 1) laser-based registration with a Mayfield skull clamp (laser), 2) a Leksell frame with bone fiducials (bone fiducials), 3) a Leksell frame with pins plus one bone fiducial (pins+fiducial), and 4) a frame-based registration with etched frame (frame-based). Accuracy differences were analyzed using Kruskal-Wallis and Wilcoxon tests. A stepwise multivariate linear regression model was used to evaluate predictors of error.

RESULTS: Overall, 231 electrodes were placed in 22 patients (median age 15 years). The median error at the inner skull table was lowest with the pins+fiducial (0.6 mm) technique and highest with the laser (1.7 mm) technique. The target error was also lowest with pins+fiducial (1.1 mm) technique and highest with the laser (2.04 mm) technique. All group differences were statistically significant (p < 0.0001). Younger age (p = 0.0161) and increased bone thickness (p = 0.0304) were independently associated with error at the target and inner skull table, respectively. No clinical complications occurred, including hemorrhage, infection, or electrode malposition.

CONCLUSIONS: The registration technique used significantly affects robot-assisted SEEG accuracy in children. The use of frame-based approaches, especially using pins and a single fiducial, yielded the highest accuracy. Additional caution should be exercised in younger patients and with trajectories through thicker bone.

PMID:41576396 | DOI:10.3171/2025.9.PEDS258

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Nevin Manimala Statistics

Minimal important differences to assess cross-sectional differences among groups and minimal important changes to assess longitudinal within-patient changes for the Mayo Clinic Vestibular Schwannoma Quality of Life Index

J Neurosurg. 2026 Jan 23:1-7. doi: 10.3171/2025.9.JNS251249. Online ahead of print.

ABSTRACT

OBJECTIVE: The minimal important difference (MID) and minimal important change (MIC) are two metrics that bridge the gap between statistical significance and clinical relevance and are critical to managing clinical decisions and conducting clinical research. The objective of this study was to define MIDs to evaluate cross-sectional differences among groups and to define MICs to evaluate longitudinal within-patient changes for the Mayo Clinic Vestibular Schwannoma Quality of Life (VSQOL) Index.

METHODS: Anchor-based methods were used to define MIDs and MICs for the VSQOL Index domain scores, which range from 0 to 100 points, for a national cohort of 1050 patients with sporadic vestibular schwannoma, 644 of whom completed the VSQOL Index twice approximately 1 year apart.

RESULTS: The median of the MID estimates for the VSQOL Index domains were: hearing problems (17, IQR 12.5-21); dizziness and imbalance (21, IQR 18-23); pain, discomfort, and tinnitus (19.5, IQR 15-23.5); problems with face or eyes (18, IQR 17-28); impact on physical, emotional, and social well-being (19.5, IQR 14.5-23.5); difficulty with thinking and memory (23.5, IQR 18.5-28.5); global quality of life (12, IQR 8-16); and satisfaction or regret (13.5, IQR 7-17). MIC estimates for the hearing problems and satisfaction and regret domains were not obtained because the correlations between these domain scores and their associated anchors were not sufficiently strong. The MIC estimates (minimum and maximum) for the remaining domains were: dizziness and imbalance (7.2 and 8.3); pain, discomfort, and tinnitus (8.3 and 8.5); problems with face or eyes (7.0 and 7.4); impact on physical, emotional, and social well-being (2.1 and 8.0); and difficulty with thinking and memory (12.9 and 15.0). The median of the MIC estimates for global quality of life was 5.2 (IQR 3.7-5.6).

CONCLUSIONS: The MIDs and MICs reported herein provide a framework to interpret quality-of-life benefit or harm cross-sectionally among groups and longitudinally within patients. Moving forward, these values should be considered when interpreting studies using the VSQOL Index to assess disease-specific quality of life in patients with sporadic vestibular schwannoma.

PMID:41576374 | DOI:10.3171/2025.9.JNS251249

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Nevin Manimala Statistics

Laser interstitial thermal therapy versus open resective surgery for nontumoral epilepsy: systematic review and meta-analysis of comparative studies

J Neurosurg. 2026 Jan 23:1-12. doi: 10.3171/2025.8.JNS25496. Online ahead of print.

ABSTRACT

OBJECTIVE: Epilepsy affects nearly 50 million individuals worldwide, with one-third of cases resistant to antiseizure medications. For these patients, surgical intervention offers a potential path to seizure freedom. While resective surgery has been the gold standard, laser interstitial thermal therapy (LITT) has emerged as a minimally invasive alternative. The aim of this study was to evaluate the efficacy and safety of LITT versus resective surgery in patients with nontumoral epilepsy.

METHODS: A systematic review and meta-analysis were conducted using PubMed, Embase, and Scopus, including studies comparing seizure freedom rates, complications, and procedural outcomes between LITT and open surgery in nontumoral epilepsy. Eleven studies met the inclusion criteria, comprising 389 LITT and 557 open surgery patients with varying epilepsy etiologies, including temporal lobe epilepsy, focal cortical dysplasia, and tuberous sclerosis. Statistical analysis was performed using a random-effects model to assess seizure freedom, complications, and reoperation rates.

RESULTS: Open surgery demonstrated higher rates of complete seizure freedom, although not reaching significance (68.1% vs 53.7%, RR 0.81, p = 0.07). This outcome was sensitive to influential analysis and reached significance in the epileptogenic zone-directed resection subgroup analysis. Although adequate seizure freedom was comparable between the groups (LITT: 63.0% vs open: 74.0%, RR 0.90, p = 0.11), the open surgery group had higher rates of control in the pediatric and non-temporal lobe epilepsy subgroups. Complication rates were significantly higher in the open surgery group (30.0% vs 18.3%, RR 0.55, p < 0.01). LITT patients had significantly shorter hospital stays (3.4 vs 6.8 days, standardized mean difference -0.93, p < 0.01). Reoperation rates were comparable between groups (13.1% for LITT vs 13.4%, RR 1.59, p = 0.26).

CONCLUSIONS: While LITT offers a less invasive approach with reduced hospitalization and morbidity, open surgery remains slightly superior in achieving long-term seizure freedom. Patient selection remains critical, and further studies are needed to refine decision-making criteria based on epilepsy subtype and lesion characteristics.

PMID:41576371 | DOI:10.3171/2025.8.JNS25496

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Nevin Manimala Statistics

Efficacy, Safety, and Economic Impact of Cytisinicline Maintenance Therapy in Patients Who Are Candidates for Smoking Cessation: Protocol for a Phase IV, Multicenter, Randomized, Open-Label, Controlled, Parallel Clinical Trial (CITISILONG Trial)

JMIR Res Protoc. 2026 Jan 23;15:e76815. doi: 10.2196/76815.

ABSTRACT

BACKGROUND: Cytisinicline has proven to be an effective, efficient, and safe molecule in smoking cessation. However, the established 25-day regimen could be insufficient in a high percentage of smokers, so it is necessary to study maintained therapies of this drug.

OBJECTIVE: This study aims to compare the efficacy of the cytisinicline regimen used in routine clinical practice versus 2 maintained regimens of 50 and 75 days, respectively. In addition, the safety and economic impact of each regime will be determined.

METHODS: A prospective, multicenter, open-label, controlled, parallel, phase IV clinical trial of 402 smoker patients prepared to quit smoking. The study was conducted in 10 hospitals in Spain. A control group is compared to 2 intervention groups in which the duration of the drug is increased without increasing its dose, administering half and all, respectively, of an additional marketed container that includes 100 tablets. Thus, participants will be randomized to three groups in a 1:1:1 ratio to receive cytisinicline: (1) a control group treated with cytisinicline according to the usual clinical guidelines and product information (25 days); (2) a group with a 50-day cytisinicline regimen (an additional 25 days at a dose of 1.5 mg every 12 hours), seeking to increase its efficacy while minimally impacting adherence; and (3) a group with a 75-day regimen (an additional 50 days at a dose of 1.5 mg every 12 hours), attempting to increase its efficacy, although the longer duration of the drug may threaten adherence. Efficacy in the 3 arms will be analyzed through sustained abstinence at 6 and 12 months, point abstinence rate assessed every 7 days, and abstinence rate from Day 25 to Day 50 and from Day 25 to Day 75 in the 3 study arms. (1) The variation in withdrawal and craving symptoms in the 3 groups, (2) safety through the percentage of adverse events in the 3 treatment arms, and (3) economic impact by evaluating the cost-effectiveness and cost-utility ratios of the 2 prolonged regimens versus the usual clinical cytisinicline regimen. To calculate the differences between the 3 groups for each outcome variable, a univariate analysis will be performed. Statistically significant variables will be included in a multivariate model.

RESULTS: Recruitment for the trial and patient enrollment were completed in November 2026. Follow-up of all participants will extend to December 2027.

CONCLUSIONS: In conclusion, this study evaluates the optimization of cytisinicline in daily clinical practice, increasing the benefits of its pharmaceutical properties without affecting patient safety. All of this will improve the effectiveness of smoking cessation by reducing the number of smokers, which implies lower morbidity and mortality and lower costs associated with smoking.

TRIAL REGISTRATION: European Clinical Trials Register 2024-518936-36-00; https://euclinicaltrials.eu/ctis-public/view/2024-518936-36-00.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/76815.

PMID:41576369 | DOI:10.2196/76815