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Nevin Manimala Statistics

Deep brain stimulation of the nucleus accumbens in treatment-resistant alcohol use disorder: a double-blind randomized controlled multi-center trial

Transl Psychiatry. 2023 Feb 8;13(1):49. doi: 10.1038/s41398-023-02337-1.

ABSTRACT

Treatment resistance in alcohol use disorders (AUD) is a major problem for affected individuals and for society. In the search of new treatment options, few case studies using deep brain stimulation (DBS) of the nucleus accumbens have indicated positive effects in AUD. Here we report a double-blind randomized controlled trial comparing active DBS (“DBS-EARLY ON”) against sham stimulation (“DBS-LATE ON”) over 6 months in n = 12 AUD inpatients. This 6-month blind phase was followed by a 12-month unblinded period in which all patients received active DBS. Continuous abstinence (primary outcome), alcohol use, alcohol craving, depressiveness, anxiety, anhedonia and quality of life served as outcome parameters. The primary intention-to-treat analysis, comparing continuous abstinence between treatment groups, did not yield statistically significant results, most likely due to the restricted number of participants. In light of the resulting limited statistical power, there is the question of whether DBS effects on secondary outcomes can nonetheless be interpreted as indicative of an therapeutic effect. Analyses of secondary outcomes provide evidence for this, demonstrating a significantly higher proportion of abstinent days, lower alcohol craving and anhedonia in the DBS-EARLY ON group 6 months after randomization. Exploratory responder analyses indicated that patients with high baseline alcohol craving, depressiveness and anhedonia responded to DBS. The results of this first randomized controlled trial are suggestive of beneficial effects of DBS in treatment-resistant AUD and encourage a replication in larger samples.

PMID:36755017 | DOI:10.1038/s41398-023-02337-1

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Nevin Manimala Statistics

School-age vaccination, school openings and Covid-19 diffusion

Health Econ. 2023 Feb 8. doi: 10.1002/hec.4657. Online ahead of print.

ABSTRACT

This article investigates the relationship between school openings and Covid-19 diffusion when school-age vaccination becomes available. The analysis relies on a unique geo-referenced high frequency database on age of vaccination, Covid-19 cases and hospitalization indicators from the Italian region of Sicily. The study focuses on the change of Covid-19 diffusion after school opening in a homogeneous geographical territory (i.e., with the same control measures and surveillance systems, centrally coordinated by the Regional Government). The identification of causal effects derives from a comparison of the change in cases before and after school opening in the school year 2020/21, when vaccination was not available, and in 2021/22, when the vaccination campaign targeted individuals of age 12-19 and above 19. Results indicate that, while school opening determined an increase in the growth rate of Covid-19 cases in 2020/2021, this effect has been substantially reduced by school-age vaccination in 2021/2022. In particular, we find that an increase of approximately 10% in the vaccination rate of school-age population reduces the growth rate of Covid-19 cases after school opening by approximately 1%.

PMID:36754980 | DOI:10.1002/hec.4657

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Nevin Manimala Statistics

Higher consumption of ultra-processed foods and increased likelihood of central nervous system demyelination in a case-control study of Australian adults

Eur J Clin Nutr. 2023 Feb 8. doi: 10.1038/s41430-023-01271-1. Online ahead of print.

ABSTRACT

BACKGROUND: Consumption of ultra-processed foods (UPFs) has been linked to risk of chronic diseases, with scant evidence in relation to multiple sclerosis (MS).

METHODS: We tested associations between UPF consumption and likelihood of a first clinical diagnosis of central nervous system demyelination (FCD) (267 cases, 508 controls), a common precursor to MS. We used data from the 2003-2006 Ausimmune Study and logistic regression with full propensity score matching for age, sex, region of residence, education, smoking history, body mass index, physical activity, history of infectious mononucleosis, dietary misreporting, and total energy intake.

RESULTS: Higher UPF consumption was statistically significantly associated with an increased likelihood of FCD (adjusted odds ratio = 1.08; 95% confidence interval = 1.0,1.15; p = 0.039), representing an 8% increase in likelihood of FCD per one energy-adjusted serving/day of UPFs.

CONCLUSION: Higher intakes of UPF were associated with increased likelihood of FCD in this Australian cohort. Nutrition education and awareness of healthy eating patterns may benefit those at high risk of FCD.

PMID:36754977 | DOI:10.1038/s41430-023-01271-1

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Nevin Manimala Statistics

Gridded Datasets for Japan: Total, Male, and Female Populations from 2001-2020

Sci Data. 2023 Feb 8;10(1):81. doi: 10.1038/s41597-023-01989-4.

ABSTRACT

Japan is a highly urbanized and severely aging society. In an aging society, chronic disease and disability are prevalent, and the population is sensitive to environmental issues and climate change. To identify the effects of population changes, formulate population and public health policies, and assist environmental projects, a high-resolution and accurate gridded population dataset is highly desirable. To provide basic data for research in these areas, we created an open access annual dataset from 2001 to 2020 containing the total, male, and female population counts in each grid at a resolution of 500 m. A random forest method was employed to fill the gaps in Japan’s nationwide census data collected in 2005, 2010, 2015, and 2020. The yearly population dataset was based on the 4th-level mesh data from the Statistics Bureau of Japan to make it easy to use. The dataset is provided here along with descriptions of the data and methods used in the fitting, cross-validation, and prediction processes.

PMID:36754963 | DOI:10.1038/s41597-023-01989-4

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Nevin Manimala Statistics

Estimating distribution of length of stay in a multi-state model conditional on the pathway, with an application to patients hospitalised with Covid-19

Lifetime Data Anal. 2023 Feb 8. doi: 10.1007/s10985-022-09586-0. Online ahead of print.

ABSTRACT

Multi-state models are used to describe how individuals transition through different states over time. The distribution of the time spent in different states, referred to as ‘length of stay’, is often of interest. Methods for estimating expected length of stay in a given state are well established. The focus of this paper is on the distribution of the time spent in different states conditional on the complete pathway taken through the states, which we call ‘conditional length of stay’. This work is motivated by questions about length of stay in hospital wards and intensive care units among patients hospitalised due to Covid-19. Conditional length of stay estimates are useful as a way of summarising individuals’ transitions through the multi-state model, and also as inputs to mathematical models used in planning hospital capacity requirements. We describe non-parametric methods for estimating conditional length of stay distributions in a multi-state model in the presence of censoring, including conditional expected length of stay (CELOS). Methods are described for an illness-death model and then for the more complex motivating example. The methods are assessed using a simulation study and shown to give unbiased estimates of CELOS, whereas naive estimates of CELOS based on empirical averages are biased in the presence of censoring. The methods are applied to estimate conditional length of stay distributions for individuals hospitalised due to Covid-19 in the UK, using data on 42,980 individuals hospitalised from March to July 2020 from the COVID19 Clinical Information Network.

PMID:36754952 | DOI:10.1007/s10985-022-09586-0

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Nevin Manimala Statistics

Survival Outcomes of Optimally Treated Colorectal Metastases: The Importance of R0 Status in Surgical Treatment of Hepatic and Peritoneal Surface Disease

Ann Surg Oncol. 2023 Feb 8. doi: 10.1245/s10434-023-13174-3. Online ahead of print.

ABSTRACT

BACKGROUND: Although colorectal hepatic metastases (HM) and peritoneal surface disease (PSD) are distinct biologic diseases, they may have similar long-term survival when optimally treated with surgery.

METHODS: This study retrospectively reviewed prospectively managed databases. Patients undergoing R0 or R1 resections were analyzed with descriptive statistics, the Kaplan-Meier method, and Cox regression. Survival was compared over time for the following periods: 1993-2006, 2007-2012, and 2013-2020.

RESULTS: The study enrolled 783 HM patients undergoing liver resection and 204 PSD patients undergoing cytoreduction and hyperthermic intraperitoneal chemotherapy (HIPEC). Compared with PSD patients, HM patients more often had R0 resections (90.3% vs. 32.4%), less often had pre-procedure chemotherapy (52.4% vs. 92.1%), and less often were functionally independent (79.7% vs. 95.6%). The 5-year overall survival for HM was 40.9%, with a median survival period of 45.8 months versus 25.8% and 33.4 months, respectively, for PSD (p < 0.05). When stratified by resection status, R0 HM and R0 PSD did not differ significantly in median survival (49.0 vs. 45.4 months; p = 0.83). The median survival after R1 resection also was similar between HM and PSD (32.6 vs. 26.9 months; p = 0.59). Survival between the two groups again was similar over time when stratified by resection status. The predictors of survival for HM patients were R0 resection, number of lesions, intraoperative transfusion, age, and adjuvant chemotherapy. For the PSD patients, the predictors were peritoneal cancer index (PCI) score, estimated blood loss (EBL), and female gender.

CONCLUSION: The study showed that R0 resections are associated with improved outcomes and that median survival is similar between HM and PSD patients when it is achieved. Surveillance and treatment strategies that facilitate R0 resections are needed to improve results, particularly for PSD.

PMID:36754944 | DOI:10.1245/s10434-023-13174-3

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Nevin Manimala Statistics

Contrast-enhanced mammography in the assessment of residual disease after neoadjuvant treatment

Breast Cancer Res Treat. 2023 Feb 9. doi: 10.1007/s10549-023-06865-8. Online ahead of print.

ABSTRACT

PURPOSE: To investigate the utility of contrast-enhanced mammography (CEM) as an alternative to breast MRI for the evaluation of residual disease after neoadjuvant treatment (NAT).

METHODS: This prospective study enrolled consecutive women undergoing NAT for breast cancer from July 2017-July 2019. Breast MRI and CEM exams performed after completion of NAT were read independently by two breast radiologists. Residual disease and lesion size on MRI and CEM recombined (RI) and low-energy images (LEI) were compared. Histopathology was considered the reference standard. Statistical analysis was performed using McNemar’s and Leisenring’s tests. Multiple comparison adjustment was made using Bonferroni procedure. Lesion sizes were correlated using Kendall’s tau coefficient.

RESULTS: There were 110 participants with 115 breast cancers. Residual disease (invasive cancer or ductal carcinoma in situ) was detected in 83/115 (72%) lesions on pathology, 71/115 (62%) on MRI, 55/115 (48%) on CEM RI, and 75/115 (65%) on CEM LEI. When using multiple comparison adjustment, no significant differences were detected between MRI combined with CEM LEI and CEM RI combined with CEM LEI, in terms of accuracy (MRI: 77%, CEM: 72%; p ≥ 0.99), sensitivity (MRI: 88%, CEM: 81%; p ≥ 0.99), specificity (MRI: 47%, CEM: 50%; p ≥ 0.99), PPV (MRI: 81%, CEM: 81%; p ≥ 0.99), or NPV (MRI: 60%, CEM: 50%; p ≥ 0.99). Size correlation between pathology and both MRI combined with CEM LEI and CEM RI combined with CEM LEI was moderate: τ = 0. 36 vs 0.33 (p ≥ 0.99).

CONCLUSION: Contrast-enhanced mammography is an acceptable alternative to breast MRI for the detection of residual disease after neoadjuvant treatment.

PMID:36754936 | DOI:10.1007/s10549-023-06865-8

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Nevin Manimala Statistics

Causal association between vitamin D and diabetic neuropathy: a Mendelian randomization analysis

Endocrine. 2023 Feb 9. doi: 10.1007/s12020-023-03315-9. Online ahead of print.

ABSTRACT

OBJECTIVES: Vitamin D has been linked to diabetic neuropathy (DN) in previous epidemiological observational studies, however, their findings are inconsistent. The causal relationship between vitamin D and DN remains unknown. In this study we aim to investigate the causal association of serum 25-hydroxyvitamin D (25OHD) and DN.

METHODS: Based on summary statistics from publicly available genome-wide association studies (GWAS) database, we detected the genetic correlation between serum 25OHD levels and DN by a two-sample Mendelian randomization (MR) analysis. The inverse-variance weighted (IVW) method was used as the primary analysis, weighted median and MR-Egger were applied as complementary methods for MR estimates. In addition, we took sensitivity analyses including Cochran’s Q test, MR-Pleiotropy Residual Sum and Outlier (MR-PRESSO) and leave-one-out analysis to ensure that we obtained stable and reliable results.

RESULTS: Our MR study showed no significant genetic association between serum 25OHD levels and DN (OR = 1.13, 95% CI = 0.81-1.57, P = 0.46). Furthermore, in the reverse direction analysis, we did not find a significant causal effect of DN and serum 25OHD levels (OR = 0.99, 95% CI = 0.98-1.00, P = 0.09). Results of MR-Egger, Weighted Median were consistent with those of the IVW method. The sensitivity analysis suggesting that no significant heterogeneity and genetic pleiotropy was observed.

CONCLUSIONS: Our results provided no evidence to support the causal association of serum 25OHD levels with DN.

PMID:36754931 | DOI:10.1007/s12020-023-03315-9

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Nevin Manimala Statistics

A Reliable and Sensitive Framework for Simultaneous Type and Stage Detection of Colorectal Cancer Polyps

Ann Biomed Eng. 2023 Feb 8. doi: 10.1007/s10439-023-03153-w. Online ahead of print.

ABSTRACT

With the goal of enhancing the early diagnosis of colorectal cancer (CRC) polyps and reducing the risk of mortality in cancer patients, in this article, we present a unique diagnosis framework including a Vision-based Surface Tactile Sensor (VS-TS) and complementary Artificial Intelligence algorithms. Leveraging the morphological characteristics (i.e., shape and texture) and stiffness features of the CRC polyps, the proposed framework is able to reliably and sensitively identify their type and stage. To thoroughly characterize and identify the required VS-TS sensitivity for reliable identification of polyps, we first fabricated three different VS-TSs and qualitatively evaluated their performances on 48 different types of polyp phantoms fabricated based on four different types of realistic CRC polyps and three different materials. Next, to quantitatively compare the performance and sensitivity of the fabricated VS-TSs, we used Support Vector Machine (SVM) algorithm and employed various statistical metrics (i.e., accuracy, reliability, and sensitivity). Next, using the most sensitive VS-TS, we classified the type of tumors using the SVM algorithm and applied the t-Distributed Stochastic Neighbor Embedding algorithm to successfully identify the stiffness of classified polyp phantoms solely based on the output images of the VS-TS sensor. Results demonstrated that an SVM algorithm applied on the image outputs of a VS-TS with a Shore hardness of 00-40 scale is able to classify all types of polyps with > 90% accuracy, sensitivity, and reliability. We also repeated experiments on samples of ex-vivo lamb tripe tissues and successfully verified the high sensitivity and reliability of the proposed framework (i.e., > 94%).

PMID:36754924 | DOI:10.1007/s10439-023-03153-w

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Nevin Manimala Statistics

Video gaming improves robotic surgery simulator success: a multi-clinic study on robotic skills

J Robot Surg. 2023 Feb 8. doi: 10.1007/s11701-023-01540-y. Online ahead of print.

ABSTRACT

We aimed to investigate the effects of video game habits, duration of experience, and training in different surgical clinics on the success of robotic surgery simulators. In this prospective, observational, comparative, and multi-clinical study, all participants played Temple Run and Piano Tiles 2 mobile games for 1 month, after answering a questionnaire including their sociodemographic characteristics, surgical experience, and past and current video game experience. At the end of the period, participants experienced four different robotic surgery simulator tasks (Camera Targeting 1, Energy Switching 1, Ring and Rail 2, Vertical Defect Suturing) in da Vinci® Skills Simulator. Additionally, sociodemographic data were statistically analyzed with mobile game scores and 13 different performance scores obtained from the simulator. All robotic surgery simulator skill applications were carried out at Ege University Hospital in Izmir. All surgical residents in the general surgery, urology, and pediatric surgery clinics were included in the study. Sixty of the sixty-four participants in total completed all the processes. Four participants were excluded from the study. When clinical performances were compared, it was seen that the general surgery clinic performed better than other clinics in two parameters (overall score, time to complete) of the ‘Camera Targeting’ task (p = 0.01 and p = 0.006). Participants with mobile phone games experience were successful in the ‘Energy Switching’ task with less misapplied energy time (p = 0.039). Participants with high scores in Piano Tiles 2 were more successful in the ‘Energy Switching’ task and completed the ‘Ring Rail’ task with fewer movements (p < 0.05). Participants with more surgical and laparoscopic surgery experience scored higher in the ‘Camera Targeting’ and ‘Energy Switching’ tasks and completed the assignments with less movement. Again, these participants completed the ‘Vertical Defect Suturing’ task faster and the ‘Ring Rail’ task with less movement. In addition, participants with more laparoscopy experience scored higher in the ‘Ring Rail’ task (p < 0.05). In this study, we showed the effect of recent gaming experience on robotic surgery abilities along with previous video game experience. For surgeons and surgeon candidates in robotic surgery training, the importance of video game-based learning techniques will increase when combined with rapidly developing simulation technologies.ClinicalTrials.gov Identifier: NCT05510960.

PMID:36754922 | DOI:10.1007/s11701-023-01540-y