Tag: pubmed

JAMA Netw Open. 2024 Nov 4;7(11):e2447635. doi: 10.1001/jamanetworkopen.2024.47635.

ABSTRACT

IMPORTANCE: Disparities in minoritized racial and ethnic populations’ participation in gynecologic cancer clinical trials are well documented despite the high rates of endometrial cancer in these populations. Geographic proximity to trials is a critical component to ensure equitable trial access.

OBJECTIVE: To characterize the geographic distribution of gynecological cancer trials across the US and identify disparities.

DESIGN, SETTING, AND PARTICIPANTS: This study is a cross-sectional analysis of trials first posted on ClinicalTrials.gov from January 1, 2013, through January 10, 2024. This study involved a state-level analysis of clinical trials located in the US. Enrollment criteria of clinical trials for ovarian, uterine, cervical, endometrial, vaginal and/or vulvar, and other gynecological cancers were reviewed to exclude nongynecological cancers (1643 trials) or noninvasive gynecological conditions (224 trials).

EXPOSURE: The number of gynecological trials per 100 000 persons in each state.

MAIN OUTCOMES AND MEASURES: A state-level analysis was performed to determine whether gynecologic cancer clinical trial availability in the US is associated with other state-level characteristics to identify areas of increased need. Census data, state-level total population size, percentage of non-Hispanic White persons, and the Federal Emergency Management Agency expected annual loss per state as a measure of social vulnerability were aggregated. The association between these variables and the number of gynecological trials per 100 000 persons was measured using Spearman rank correlation.

RESULTS: Of the 1561 invasive gynecological cancer trials that met the inclusion criteria, most cancer trials were ovarian (911 trials [58.4%]), followed by cervical (438 trials [28.1%]), and endometrial (385 trials [24.7%]). Predominantly minoritized population-serving states (ie, those with <50% non-Hispanic White persons) had fewer than 4 trials per 100 000 persons, but this was not significant nationally (ρ = 0.20; 95% CI, -0.08 to 0.45; P = .16). States with higher Federal Emergency Management Agency expected annual loss had lower numbers of gynecological trials per 100 000 persons, which was significant nationally (ρ = -0.53; 95% CI, -0.70 to -0.29; P < .001).

CONCLUSIONS AND RELEVANCE: In this cross-sectional study of female gynecological cancer trials by state, states with particularly high economic vulnerability and minoritized populations had low clinical trial availability. Further efforts are needed to address disparities identified in this study to ensure equitable trial access.

PMID:39589740 | DOI:10.1001/jamanetworkopen.2024.47635

J Cancer Surviv. 2024 Nov 26. doi: 10.1007/s11764-024-01704-1. Online ahead of print.

ABSTRACT

PURPOSE: To determine the efficacy of nurse-delivered brief behavioral treatment for insomnia (BBTI) compared to an attention control, in a heterogeneous sample of cancer survivors to reduce insomnia symptom severity.

METHODS: We recruited 132 participants from cancer care clinics, who had an Insomnia Severity Index (ISI) score ≥ 8. Participants were randomized into two groups: an experimental BBTI group and a healthy eating attention control group. Demographics survey at baseline, and sleep-related questionnaires, self-reported sleep diaries, and wrist-worn actigraphy at baseline, 1, 3, and 12 months were collected. Statistical analyses used analysis of covariance (ANCOVA) models with two-sided 0.05 nominal significance level for treatment effect for primary outcome of insomnia severity at 1 month.

RESULTS: Participants were cancer survivors with a mean age of 63.7 years, 55% female, 88.6% white, with breast, prostate, colorectal, and lung cancer. Statistically significant group differences were observed at all time points for ISI and sleep quality (ISI effect sizes 0.56, 0.59, and 0.54 respectively). Additionally, at 1 month, those in insomnia remission (ISI ≤ 8) were higher for the BBTI (55.1%) compared to the control group (43.3%). Secondary outcomes from sleep diary measures (i.e., sleep efficiency, sleep onset latency, wake after sleep onset) were significant at 1 month.

CONCLUSION: The BBTI group was significantly effective in reducing insomnia severity and improving sleep quality over time compared to the control among cancer survivors.

CLINICAL TRIAL REGISTRATION: Clinical trials identifier: http://ClinicalTrials.gov , NCT03810365.

IMPLICATIONS FOR CANCER SURVIVORS: Implementing BBTI in survivorship settings can effectively address and manage insomnia symptoms, thus bridging a crucial gap in care for cancer survivors.

PMID:39589721 | DOI:10.1007/s11764-024-01704-1

Infect Dis Ther. 2024 Nov 26. doi: 10.1007/s40121-024-01073-3. Online ahead of print.

ABSTRACT

INTRODUCTION: In 2023, recombinant zoster vaccine (RZV) replaced zoster vaccine live (ZVL) vaccine in the UK National Immunisation Programme (NIP) for prevention of herpes zoster (HZ). The vaccination age was reduced from 70 to 65 years, with a subsequent planned reduction to 60 years. This modelling study aimed to evaluate the public health impact (PHI) of RZV vaccination in the 70 years of age (YOA) population and in younger individuals 65 and 60 YOA.

METHODS: PHI was evaluated from a National Health Service perspective, as cases of HZ, post-herpetic neuralgia (PHN), non-PHN complications and deaths, hospitalisations, and general practitioner (GP) visits avoided using a multicohort Markov model. Three scenarios (RZV vs. no vaccination, ZVL vs. no vaccination, and RZV vs. ZVL) were explored for each age group using population estimates from the UK Office for National Statistics, i.e. 70 YOA (n = 649,822), 65 YOA (n = 760,578) and 60 YOA (n = 849,501).

RESULTS: Modelled outcomes in 70 YOA individuals estimated that RZV vaccination would avoid 32,894 cases of HZ and 5915 cases of PHN compared with no vaccination and 26,954 HZ and 3218 PHN cases compared with ZVL. Compared with no vaccination, 2264 fewer hospitalisations and 158,549 fewer GP visits were predicted with RZV vaccination. Hospitalisations were predicted to be reduced by 1996 and GP visits by 130,821 for RZV versus ZVL vaccination. In individuals 65 YOA, it was estimated that RZV vaccination would avoid 50,128 HZ cases, 8623 PHN cases, 222,646 GP visits, and 2671 hospitalisations versus no vaccination. In the 60 YOA group, RZV vaccination was predicted to avoid 57,182 HZ cases, 9327 PHN cases, 234,330 GP visits, and 2547 hospitalisations versus no vaccination.

CONCLUSION: The recent introduction of RZV into the NIP could substantially reduce HZ disease burden and healthcare resource use in the UK. A graphical abstract is available with this article.

PMID:39589700 | DOI:10.1007/s40121-024-01073-3

Behav Genet. 2024 Nov 26. doi: 10.1007/s10519-024-10207-9. Online ahead of print.

ABSTRACT

Causal inference is inherently complex and relies on key assumptions that can be difficult to validate. One strong assumption is population homogeneity, which assumes that the causal direction remains consistent across individuals. However, there may be variation in causal directions across subpopulations, leading to potential heterogeneity. In psychiatry, for example, the co-occurrence of disorders such as depression and substance use disorder can arise from multiple sources, including shared genetic or environmental factors (common causes) or direct causal pathways between the disorders. A patient diagnosed with two disorders might have one recognized as primary and the other as secondary, suggesting the existence of different types of comorbidity. For example, in some individuals, depression might lead to substance use, while in others, substance use could lead to depression. We account for potential heterogeneity in causal direction by integrating the Direction of Causation (DoC) model for twin data with finite mixture modeling, which allows for the calculation of individual-level likelihoods for alternate causal directions. Through simulations, we demonstrate the effectiveness of using the Direction of Causation Twin Mixture (mixDoC) model to detect and model heterogeneity due to varying causal directions.

PMID:39589697 | DOI:10.1007/s10519-024-10207-9

Biol Trace Elem Res. 2024 Nov 26. doi: 10.1007/s12011-024-04460-6. Online ahead of print.

ABSTRACT

Selenium is a trace element involved in crucial antioxidative and anti-inflammatory processes in the body. Low selenium status has been linked to increased mortality due to compromised immune function and heightened risk of cardiovascular events. Patients with chronic kidney disease (CKD) face elevated mortality risks, prompting the need for strategies to mitigate these events. Selenium deficiency is prevalent among CKD patients, yet the long-term implications and its association with mortality in this population remain unclear. This study assessed seventy-five CKD patients’ serum selenium levels (SSL) between January and February 2020. The objective was to investigate the correlation between SSL and 36-month all-cause mortality in CKD patients. Baseline laboratory values, dialysis adequacy, Charlson comorbidity index (CCI), serum selenium status, and all-cause mortality at 36 months were subjected to statistical analysis. Significance level was set at p < 0.05. Significant differences were observed in CCI between surviving and deceased groups, with deceased patients being older and afflicted with more comorbidities. SSL also exhibited a significant difference between the groups, with levels in the mortality group significantly lower than those in other patients, suggesting a potential role of selenium in predicting patient outcomes. SSL equal to or lower than 66.35 were associated with approximately 5 times higher likelihood of mortality within three years of follow-up. Our study highlights the significant association between low serum selenium levels and survival in patients with chronic kidney disease, underscoring the potential importance of selenium monitoring in this population. These findings emphasize the need for further research to elucidate the underlying mechanisms and to explore potential interventions aimed at improving outcomes in CKD patients.

PMID:39589683 | DOI:10.1007/s12011-024-04460-6

Bull Math Biol. 2024 Nov 26;87(1):5. doi: 10.1007/s11538-024-01366-1.

ABSTRACT

The genome galaxy identified in bacteria is studied by expressing the reading frame retrieval (RFR) function according to the YZ-content (GC-, AG- and GT-content) of bacterial codons. We have developed a simple probabilistic model for ambiguous sequences in order to show that the RFR function is a measure of the gene reading frame retrieval. Indeed, the RFR function increases with the ratio of ambiguous sequences and the ratio of ambiguous sequences decreases when the codon usage dispersion increases. The classical GC-content is the best parameter for characterizing the upper arm, which is related to bacterial genes with a low GC-content, and the lower arm, which is related to bacterial genes with a high GC-content. The galaxy center has a GC-content around 0.5. Then, these results are confirmed by expressing the GC-content of bacterial codons as a function of the codon usage dispersion. Finally, the bacterial genome galaxy is better described with the GC3-content in the 3rd codon site compared to the GC1-content and GC2-content in the 1st and 2nd codons sites, respectively. Whereas the codon usage is used extensively by biologists, its dispersion, which is an important parameter to reveal this genome galaxy, is surprisingly little known and unused. Therefore, we have developed a mathematical theory of codon usage dispersion by deriving several formulæ. It shows three important parameters in codon usage: the minimum and maximum codon probabilities and the number of codons with high frequency, i.e. with a probability at least 1/64. By applying this theory to the evolution of the genetic code, we see that bacteria have optimised the number of codons with high frequency to maximise the codon dispersion, thus maximising the capacity to retrieve the reading frame in genes. The derived formulæ of dispersion can be easily extended to any weighted code over a finite alphabet.

PMID:39589676 | DOI:10.1007/s11538-024-01366-1

EJNMMI Res. 2024 Nov 26;14(1):117. doi: 10.1186/s13550-024-01179-2.

ABSTRACT

BACKGROUND: Single-photon emission computed tomography (SPECT) analysis relies on qualitative visual assessment or semi-quantitative measures like total perfusion deficit that play a critical role in the non-invasive diagnosis of coronary artery disease by assessing regional blood flow abnormalities. Recently, machine learning (ML) -based analysis of SPECT images for coronary artery disease diagnosis has shown promise, with its utility in predicting long-term patient outcomes (prognosis) remaining an active area of investigation. In this review, we comprehensively examine the current landscape of ML-based analysis of SPECT imaging with an emphasis on prognostication of coronary artery disease.

MAIN BODY: Our systematic search yielded twelve retrospective studies, investigating SPECT-based ML models for prognostic prediction in coronary artery disease patients, with a total sample size of 73,023 individuals. Several of these studies demonstrate the superior prognostic capabilities of ML models over traditional logistic regression (LR) models and total perfusion deficit, especially when incorporating demographic data alongside SPECT imaging. Meta-analysis of 6 studies revealed promising performance of the included ML models, with sensitivity and specificity exceeding 65% for major adverse cardiovascular events and all-cause mortality. Notably, the integration of demographic information with SPECT imaging in ML frameworks shows statistically significant improvements in prognostic performance.

CONCLUSION: Our review suggests that ML models either independently or in combination with demographic data enhance prognostic prediction in coronary artery disease.

PMID:39589669 | DOI:10.1186/s13550-024-01179-2

Sleep Breath. 2024 Nov 26;29(1):7. doi: 10.1007/s11325-024-03171-5.

ABSTRACT

PURPOSE: This study aims to examine the relationship between obstructive sleep apnea (OSA) risk, as assessed by the STOP-Bang questionnaire, and couples’ self-rated health. It also investigates how sleep behaviors (snoring, daytime tiredness, and observed apnea) reported in the STOP-Bang items affect couples’ self-rated health.

METHODS: Data from the Korea National Health and Nutrition Examination Survey (2019-2021) were analyzed, including 2,498 couples with complete STOP-Bang and self-rated health data. Logistic regression was used to explore these associations.

RESULTS: 59.2% of husbands and 11.0% of wives were at high risk for OSA. After adjusting for sociodemographic factors, comorbidities, and health behaviors, OSA risk and daytime tiredness were associated with poor self-rated health in both spouses (OR 1.52-3.38 in husbands, 2.23-2.63 in wives). After adjusting for these confounding factors and individual OSA risk, husbands whose wives reported snoring or daytime tiredness had higher odds of self-rated poor health (OR 2.69 [95% CI: 1.63-4.43] and 1.75 [95% CI: 1.25-2.45], respectively) compared to husbands whose wives did not report these behaviors. However, wives’ self-rated health was not significantly influenced by their husbands’ sleep behaviors. Additionally, the adjusted odds of self-rated poor health were 1.51 (95% CI: 1.06-2.16) in husbands if either partner had a high OSA risk, and 1.83 (95% CI: 1.15-2.90) in wives if both partners had a high OSA risk.

CONCLUSION: Husbands’ self-rated poor health is associated with wives’ snoring and daytime tiredness. The presence of OSA in one or both partners was also associated with poorer perceived health in the couple.

PMID:39589644 | DOI:10.1007/s11325-024-03171-5

Vet Res Commun. 2024 Nov 26;49(1):40. doi: 10.1007/s11259-024-10610-x.

ABSTRACT

The aim was to compare the outcomes acquired from the OSA-Vet^® device with conventional quantitative and qualitative tear tests and between groups within each test, in brachycephalic dogs both healthy and those diagnosed with keratoconjunctivitis sicca. The dogs were divided into four groups: healthy dogs (HD), with mild KCS (MIKCS); moderate KCS (MOKCS); severe KCS (SKCS). All patients underwent ocular surface diagnostic examination in the following order, with a 10-minute interval between tests: non-invasive tear film breakup time (TBUTNI – OSA-Vet^®), tear meniscus height (TMH-OSA-Vet^®), meniscometry (I-Tear^® test), Schirmer Tear Test-1 (STT-1), and tear film breakup time (TBUT). Kruskal-Wallis H tests were performed to establish the difference between the groups and Spearman´s correlation coefficient test to assess the correlation between tests. And an analysis of variance (ANOVA) followed by Tukey-Kramer post-hoc test was performed for TMH. Results with (p <.05) were considered statistically significant. The correlation of conventional tests in relation to those obtained by OSA-Vet^® proved to be low, except between TBUTNI (OSA-Vet^®) and TBUT in MOKCS, with a strong correlation (r =.925). In the comparison between TBUTNI (OSA-Vet^®) and TBUT in MIKCS the correlation was moderate (r =.547) as well as STT-1 and I-Tear^® test in MOKCS (r =.416). In the comparison between groups, the main result observed was a significant difference between all the KCS groups and HD, in the TBUT and TBUTNI (OSA-Vet^®) test. The OSA-Vet^® and conventional tests are useful for evaluating the ocular surface of brachycephalic dogs. However, the OSA-Vet^® does not correlate well with conventional standardized tests.

PMID:39589642 | DOI:10.1007/s11259-024-10610-x

Oral Radiol. 2024 Nov 26. doi: 10.1007/s11282-024-00789-9. Online ahead of print.

ABSTRACT

AIM: The present radiographic study was conducted to assess the subject and tooth prevalence of dilaceration in a cohort of Tamil population aided by morphometric analysis.

MATERIALS AND METHODS: After obtaining clearance from institutional human ethical clearance committee, 575 panoramic radiographs were retrieved. After exclusion of 233 radiographs based on the inclusion and exclusion criteria, a total of 342 panoramic radiographs were included. The angulation was estimated on Angle Meter software and categorized into three classes as mild, moderate and extreme. The data were recorded on Microsoft Excel spreadsheet 2021, and descriptively analyzed using IBM SPSS software.

RESULTS: Of the 342 subjects, there were 172 males and 170 females (1.012M:1F). Overall mean age was 33.75 ± 13.86 years. 100/342 subjects showed dilaceration in one or more teeth yielding a subject prevalence of 29.24%. There was no statistically significant difference in age and gender between the individuals who showed dilaceration and those without. The tooth prevalence was 1.49% (150/10089). The mandibular third molars were the most commonly affected teeth. Further, 97/150 teeth were mildly dilacerated (64.67%), 34/150 teeth showed moderate dilaceration (22.67%) and extreme dilaceration was noted in 19 teeth (12.66%).

CONCLUSION: Within the limits of the present study, we reported morphometric analysis of dilacerated teeth from South Indian population after examination of permanent 10,089 teeth from 342 panoramic radiographs. Mandibular third molars were the most commonly affected teeth, which led us to speculate that dilaceration is a true developmental anomaly, unrelated to trauma or other external stimuli.

PMID:39589640 | DOI:10.1007/s11282-024-00789-9