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Nevin Manimala Statistics

Geographic Variation in Late-Stage Cervical Cancer Diagnosis

JAMA Netw Open. 2023 Nov 1;6(11):e2343152. doi: 10.1001/jamanetworkopen.2023.43152.

ABSTRACT

IMPORTANCE: There are stark disparities in cervical cancer burden in the United States, notably by race and ethnicity and geography. Late-stage diagnosis is an indicator of inadequate access to and utilization of screening.

OBJECTIVE: To identify geospatial clusters of late-stage cervical cancer at time of diagnosis in Texas.

DESIGN, SETTING, AND PARTICIPANTS: This population-based cross-sectional study used incident cervical cancer data from the Texas Cancer Registry from 2014 to 2018 of female patients aged 18 years or older. Late-stage cervical cancer cases were geocoded at the census tract level (n = 5265) using their residential coordinates (latitude and longitude) at the time of diagnosis. Statistical analysis was performed from April to September 2023.

EXPOSURES: Census tract of residence at diagnosis.

MAIN OUTCOME AND MEASURES: Late-stage cervical cancer diagnosis (ie, cases classified by the National Cancer Institute Surveillance, Epidemiology and End Results summary stages 2 to 4 [regional spread] or 7 [distant metastasis]). A Poisson probability-based model of the SaTScan purely spatial scan statistics was applied at the census tract-level to identify geographic clusters of higher (hot spots) or lower (cold spots) proportions than expected of late-stage cervical cancer diagnosis and adjusted for age.

RESULTS: Among a total of 6484 female patients with incident cervical cancer cases (mean [SD] age, 48.7 [14.7] years), 2300 (35.5%) were Hispanic, 798 (12.3%) were non-Hispanic Black, 3090 (47.6%) were non-Hispanic White, and 296 (4.6%) were other race or ethnicity. Of the 6484 patients, 2892 with late-stage diagnosis (mean [SD] age, 51.8 [14.4] years were analyzed. Among patients with late-stage diagnosis, 1069 (37.0%) were Hispanic, 417 (14.4%) were non-Hispanic Black, 1307 (45.2%) were non-Hispanic White, and 99 (3.4%) were other race or ethnicity. SaTScan spatial analysis identified 7 statistically significant clusters of late-stage cervical cancer diagnosis in Texas, of which 4 were hot spots and 3 were cold spots. Hot spots included 1128 census tracts, predominantly in the South Texas Plains, Gulf Coast, and Prairies and Lakes (North Texas) regions. Of the 2892 patients with late-stage cervical cancer, 880 (30.4%) were observed within hot spots. Census tract-level comparison of characteristics of clusters suggested that hot spots differed significantly from cold spots and the rest of Texas by proportions of racial and ethnic groups, non-US born persons, and socioeconomic status.

CONCLUSIONS AND RELEVANCE: In this cross-sectional study examining geospatial clusters of late-stage cervical cancer diagnosis, place-based disparities were found in late-stage cervical cancer diagnosis in Texas. These findings suggest that these communities may benefit from aggressive cervical cancer interventions.

PMID:37955896 | DOI:10.1001/jamanetworkopen.2023.43152

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Nevin Manimala Statistics

Pathological Networking of Gray Matter Dendritic Density With Classic Brain Morphometries in OCD

JAMA Netw Open. 2023 Nov 1;6(11):e2343208. doi: 10.1001/jamanetworkopen.2023.43208.

ABSTRACT

IMPORTANCE: The pathogenesis of obsessive-compulsive disorder (OCD) may involve altered dendritic morphology, but in vivo imaging of neurite morphology in OCD remains limited. Such changes must be interpreted functionally within the context of the multimodal neuroimaging approach to OCD.

OBJECTIVE: To examine whether dendritic morphology is altered in patients with OCD compared with healthy controls (HCs) and whether such alterations are associated with other brain structural metrics in pathological networks.

DESIGN, SETTING, AND PARTICIPANTS: This case-control study used cross-sectional data, including multimodal brain images and clinical symptom assessments, from 108 patients with OCD and 108 HCs from 2014 to 2017. Patients with OCD were recruited from Shanghai Mental Health Center, Shanghai, China, and HCs were recruited via advertisements. The OCD group comprised unmedicated adults with a Diagnostic and Statistical Manual of Mental Disorders (Fourth Edition) (DSM-IV) diagnosis of OCD, while the HCs were adults without any DSM-IV diagnosis, matched for age, sex, and education level. Data were analyzed from September 2019 to April 2023.

EXPOSURE: DSM-IV diagnosis of OCD.

MAIN OUTCOMES AND MEASURES: Multimodal brain imaging was used to compare neurite microstructure and classic morphometries between patients with OCD and HCs. The whole brain was searched to identify regions exhibiting altered morphology in patients with OCD and explore the interplay between the brain metrics representing these alterations. Brain-symptom correlations were analyzed, and the performance of different brain metric configurations were evaluated in distinguishing patients with OCD from HCs.

RESULTS: Among 108 HCs (median [IQR] age, 26 [23-31] years; 50 [46%] female) and 108 patients with OCD (median [IQR] age, 26 [24-31] years; 46 [43%] female), patients with OCD exhibited deficient neurite density in the right lateral occipitoparietal regions (peak t = 3.821; P ≤ .04). Classic morphometries also revealed widely-distributed alterations in the brain (peak t = 4.852; maximum P = .04), including the prefrontal, medial parietal, cingulate, and fusiform cortices. These brain metrics were interconnected into a pathological brain network associated with OCD symptoms (global strength: HCs, 0.253; patients with OCD, 0.941; P = .046; structural difference, 0.572; P < .001). Additionally, the neurite density index exhibited high discriminatory power in distinguishing patients with OCD from HCs (accuracy, ≤76.85%), and the entire pathological brain network also exhibited excellent discriminative classification properties (accuracy, ≤82.87%).

CONCLUSIONS AND RELEVANCE: The findings of this case-control study underscore the utility of in vivo imaging of gray matter dendritic density in future OCD research and the development of neuroimaging-based biomarkers. They also endorse the concept of connectopathy, providing a potential framework for interpreting the associations among various OCD symptom-related morphological anomalies.

PMID:37955895 | DOI:10.1001/jamanetworkopen.2023.43208

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Nevin Manimala Statistics

Drug Extended-Release System Utilizing Micelle Formation of Highly Water-Soluble Drugs and a Counter Polymer

Mol Pharm. 2023 Nov 13. doi: 10.1021/acs.molpharmaceut.3c00377. Online ahead of print.

ABSTRACT

The objective of this study is to clarify the mechanism of extending release of highly water-soluble drugs via counter polymer (CP) utilization in poly(ethylene oxide) (PEO)/polyethylene glycol (PEG) matrix tablets. Carbomer, poly(acrylic acid), was used as a CP, which has the opposite charges to the drugs. The in vitro release of several highly water-soluble drugs from PEO/PEG tablet with or without CP were tested, the relationship between the sustained release effect by a CP (SRE) and the physicochemical properties of the drugs was investigated. The results demonstrated that the utilization of CP can extend the release of some highly water-soluble drugs by effectively controlling the drug diffusion through matrices. On the other hand, the effectiveness of CP was different depending on the drugs applied. There were not statistical correlations between SRE and physicochemical properties such as solubility, molecular weight, and charge intensity of the drugs, while a micelle forming property of the drugs played an important role in SRE by CP. It was concluded that CP, Carbomer, having negative charges could effectively interact with opposite charges on the surface of stable drug micelles, which could result in a significant decrease in drug diffusion leading to extended drug release. It is considered that the system utilizing CP is a promising approach to achieve extended release of highly water-soluble drugs with a reasonable tablet size, especially in the case of large drug loading.

PMID:37955875 | DOI:10.1021/acs.molpharmaceut.3c00377

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Nevin Manimala Statistics

A systematic review meta-analysis and meta-regression on the implications of an aberrant right hepatic artery in patients undergoing pancreaticoduodenectomy for the treatment of malignant disease

Minerva Surg. 2023 Nov 13. doi: 10.23736/S2724-5691.23.10024-4. Online ahead of print.

ABSTRACT

We investigated the outcomes of pancreaticoduodenectomy in the presence of an aberrant right hepatic artery (aRHA). We systematically reviewed Medline, Scopus, and Web of Science until April 2023 for studies comparing pancreaticoduodenectomy outcomes with and without aRHA. Endpoints included postoperative mortality, R0 resection margins, pancreatic fistulae, hemorrhage, biliary leak/fistulae, delayed gastric emptying, operative duration, and blood loss. Eight retrospective studies involving 1514 patients were included. The risk ratio (RR) for postoperative mortality and odds ratio (OR) for R0 resection between the aRHA and normal anatomy groups were 1.37 (95%CI:0.74-256) (I2=0%, P=0.99) and 1.03 (95%CI:0.67-1.59) (I2=10%, P=0.35). Besides a longer operative duration in the aRHA group, mean difference (MD) 54.64 (95% CI: 8.51-100.77) (I2=94%, P<0.01), there were no significant differences in secondary endpoints. Meta-regression revealed a significant association between aRHA reconstruction and postoperative mortality (β=0.0179, P<0.01). This review displayed non-statistically significant differences in terms of surgical and oncological outcomes between patients with aRHA and patients with normal hepatic artery anatomy undergoing pancreaticoduodenectomy. However, the observed trend of increased postoperative mortality in patients with aRHA, combined with extended surgical duration and the link between aRHA reconstruction and postoperative mortality, prevents drawing definitive conclusions. Further research through high-quality studies is warranted.

PMID:37955856 | DOI:10.23736/S2724-5691.23.10024-4

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Nevin Manimala Statistics

Association of Genotypes of ANGPTL3 with Vitamin D and Calcium Concentration in Cardiovascular Disease

Biochem Genet. 2023 Nov 13. doi: 10.1007/s10528-023-10533-3. Online ahead of print.

ABSTRACT

One of the leading causes of mortality worldwide is cardiovascular disease, which is influenced by some variables, including calcium and vitamin D. This study aimed to assess the relationship between Angiopoietin-Like 3 (ANGPTL3) gene polymorphisms with vitamin D and calcium levels in cardiovascular disease (CVD) patients. In this research, 1002 people participated. Participants’ anthropometric parameters, and FBG, calcium, and vitamin D were assessed. Blood samples were used to extract DNA. Taqman®-based polymerase chain reaction (PCR) was used to conduct genetic analysis for the rs10789117 and rs17458195. Statistical analysis was applied to determine differences across subgroups and the relationship between polymorphisms and disease. Age, body mass index (BMI), fasting Blood Sugar (FBG), phenylalanine ammonia-lyase (PAL), and smoking history were significantly correlated with CVD. Vitamin D was statistically associated with rs10789117 and rs17458195 in non-CVD individuals. In the moderate group, individuals with the C allele in rs10789117 showed a tenfold increase in vitamin D deficiency compared to those with the A allele. However, in rs11207997, individuals with the T allele had 5 to 6 times higher vitamin D deficiency than those with the C allele in all groups. This research demonstrates the relationship between some ANGPTL3 gene polymorphisms and complement levels in CVD patients. It may be concluded that individuals carrying these variants would likely benefit from using vitamin D and calcium supplements to avoid CVD.

PMID:37955843 | DOI:10.1007/s10528-023-10533-3

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Nevin Manimala Statistics

Disparity of Neonatal Care Visits by Region in Indonesia: A Secondary Data from Basic Health Research

Matern Child Health J. 2023 Nov 13. doi: 10.1007/s10995-023-03841-y. Online ahead of print.

ABSTRACT

BACKGROUND: Neonatal care visit is one of the efforts to reduce the neonatal mortality rate. In Indonesia, few studies have analyzed neonatal care visits by region in the last decade. The purpose of this study was to analyze factors associated with neonatal care visits by region in Indonesia.

METHOD: This study was a quantitative study with a cross-sectional design. It used secondary data from Riskedas (Basic Health Research). The total sample size was 64,321 female respondents of childbearing age who had babies aged 29 days to 59 months. The dependent variable was the completeness of neonatal care visits measured through at least one at the first neonatal care visit (KN 1), at least one at the second neonatal care visit (KN 2), and at least one at the third neonatal care visit (KN 3). Data were analysed using a statistical binary logistic regression test.

RESULTS: The respondents who had complete neonatal care visits in Indonesia was 47.9%. The region with the highest proportion was Java-Bali at 58.5%, while the region with the lowest proportion was Papua at 23.8%. Variables influencing the completeness of neonatal care visits were delivery attendant, urban residence, secondary and higher education background, parity, delivery at a healthcare facility and compete antenatal care visits. Of these variables, delivery attendant (p < 0.05) was the most significant variable in all regions.

CONCLUSION: This study showed that there were significant differences in complete neonatal care visits between regions in particularly between the ones in the west and east part of Indonesia. The government is expected to be able to provide equal distribution of and access to health facilities in rural and eastern Indonesia, especially neonatal services.

PMID:37955836 | DOI:10.1007/s10995-023-03841-y

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The associations of weekend warrior and other physical activity patterns with the risk of all-cause and cardiovascular disease mortality in people with diabetes mellitus and chronic kidney disease: from NHANES 2007-2020

Int Urol Nephrol. 2023 Nov 13. doi: 10.1007/s11255-023-03863-z. Online ahead of print.

ABSTRACT

AIM: To investigate the associations of the weekend warrior and other physical activity (PA) patterns with all-cause, cardiovascular disease (CVD) mortality risk in people with diabetes mellitus (DM) and chronic kidney disease (CKD).

METHODS: This study pooled the data from NHANES 2007-2020. Participants with DM and CKD were included. PA was assessed using a self-reported questionnaire. According to the characteristics of recreational activities, individuals were categorized as inactive (no activities), insufficiently active (total PA duration < 150 min/week), weekend warrior (total PA duration ≥ 150 min/week for 1-2 sessions), and regularly active (total PA duration ≥ 150 min/week for ≥ 3 sessions). Weighted Cox regression models with adjusting sociodemographic, behavioral, and metabolic factors were performed to investigate the relationship of PA patterns with all-cause and CVD mortality risk. Stratification and interaction analyses were further performed.

RESULTS: Among 1702 participants (46.53% female; 64 ± 0.46 years old), 536 died (163 cardiovascular) during the follow-up of 68 (39-104) months. The hazard ratio (HR) of all-cause death was 0.618 (95% CI 0.406-0.942) for insufficiently active PA pattern, 0.338 (95% CI 0.116-0.988) for weekend warrior PA pattern, and 0.536 (95% CI 0.395-0.726) for regularly active PA pattern compared with inactive PA pattern. HR of CVD death was 0.545 (95% CI 0.250-1.189) for the PA pattern of insufficiently active, 0.165 (95% CI 0.020-1.343) for weekend warrior, and 0.393 (95% CI 0.218-0.710) for regularly active compared with the inactive PA pattern. The associations present no difference in subgroups. Moreover, there was no discernible difference between weekend warrior and regularly active PA patterns for all-cause and CVD deaths. The risk of death declined relatively quickly When exercise was initiated and to a total of 450 min or 4 times per week.

CONCLUSION: In a population of DM and CKD, the weekend warrior pattern was similar to regular activity to lower the risk of all-cause mortality, compared with inactivity. The weekend warrior pattern was recommended for people who only have time to exercise on the weekend. However, longer and larger sample cohort studies are needed to validate our findings.

PMID:37955818 | DOI:10.1007/s11255-023-03863-z

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Nevin Manimala Statistics

Distinct immune escape and microenvironment between RG-like and pri-OPC-like glioma revealed by single-cell RNA-seq analysis

Front Med. 2023 Nov 13. doi: 10.1007/s11684-023-1017-7. Online ahead of print.

ABSTRACT

The association of neurogenesis and gliogenesis with glioma remains unclear. By conducting single-cell RNA-seq analyses on 26 gliomas, we reported their classification into primitive oligodendrocyte precursor cell (pri-OPC)-like and radial glia (RG)-like tumors and validated it in a public cohort and TCGA glioma. The RG-like tumors exhibited wild-type isocitrate dehydrogenase and tended to carry EGFR mutations, and the pri-OPC-like ones were prone to carrying TP53 mutations. Tumor subclones only in pri-OPC-like tumors showed substantially down-regulated MHC-I genes, suggesting their distinct immune evasion programs. Furthermore, the two subgroups appeared to extensively modulate glioma-infiltrating lymphocytes in distinct manners. Some specific genes not expressed in normal immune cells were found in glioma-infiltrating lymphocytes. For example, glial/glioma stem cell markers OLIG1/PTPRZ1 and B cell-specific receptors IGLC2/IGKC were expressed in pri-OPC-like and RG-like glioma-infiltrating lymphocytes, respectively. Their expression was positively correlated with those of immune checkpoint genes (e.g., LGALS33) and poor survivals as validated by the increased expression of LGALS3 upon IGKC overexpression in Jurkat cells. This finding indicated a potential inhibitory role in tumor-infiltrating lymphocytes and could provide a new way of cancer immune evasion.

PMID:37955814 | DOI:10.1007/s11684-023-1017-7

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Nevin Manimala Statistics

Can We Rely on Projections of the Immigrant Population? The Case of Norway

Eur J Popul. 2023 Nov 13;39(1):33. doi: 10.1007/s10680-023-09675-2.

ABSTRACT

Demographic forecasters must be realistic about how well they can predict future populations, and it is important that they include estimates of uncertainty in their forecasts. Here we focus on the future development of the immigrant population of Norway and their Norwegian-born children (“second generation”), grouped by three categories of country background: 1. West European countries plus the United States, Canada, Australia, and New Zealand; 2. Central and East European countries that are members of the European Union; 3. other countries. We show how to use a probabilistic forecast to assess the reliability of projections of the immigrant population and their children. We employ the method of random shares using data for immigrants and their children for 2000-2021. We model their age- and sex-specific shares relative to the whole population. Relational models are used for the age patterns in these shares, and time series models to extrapolate the parameters of the age patterns. We compute a probabilistic forecast for six population sub-groups with immigration background, and one for non-immigrants. The probabilistic forecast is calibrated against Statistics Norway’s official population projection. We find that a few population trends are quite certain: strong increases to 2060 in the size of the immigrant population (more specifically those who belong to country group 3) and of Norwegian-born children of immigrants. However, prediction intervals around the forecasts of immigrants and their children by one-year age groups are so wide that these forecasts are not reliable.

PMID:37955802 | DOI:10.1007/s10680-023-09675-2

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Bias reduction for semi-competing risks frailty model with rare events: application to a chronic kidney disease cohort study in South Korea

Lifetime Data Anal. 2023 Nov 13. doi: 10.1007/s10985-023-09612-9. Online ahead of print.

ABSTRACT

In a semi-competing risks model in which a terminal event censors a non-terminal event but not vice versa, the conventional method can predict clinical outcomes by maximizing likelihood estimation. However, this method can produce unreliable or biased estimators when the number of events in the datasets is small. Specifically, parameter estimates may converge to infinity, or their standard errors can be very large. Moreover, terminal and non-terminal event times may be correlated, which can account for the frailty term. Here, we adapt the penalized likelihood with Firth’s correction method for gamma frailty models with semi-competing risks data to reduce the bias caused by rare events. The proposed method is evaluated in terms of relative bias, mean squared error, standard error, and standard deviation compared to the conventional methods through simulation studies. The results of the proposed method are stable and robust even when data contain only a few events with the misspecification of the baseline hazard function. We also illustrate a real example with a multi-centre, patient-based cohort study to identify risk factors for chronic kidney disease progression or adverse clinical outcomes. This study will provide a better understanding of semi-competing risk data in which the number of specific diseases or events of interest is rare.

PMID:37955788 | DOI:10.1007/s10985-023-09612-9