Tag: statistics

JAMA Netw Open. 2024 Jul 1;7(7):e2420466. doi: 10.1001/jamanetworkopen.2024.20466.

ABSTRACT

IMPORTANCE: Adolescence is a period in which mental health problems emerge. Research suggests that the COVID-19 lockdown may have worsened emotional and behavioral health.

OBJECTIVE: To examine whether socioeconomic status was associated with mental health outcomes among youths during the COVID-19 pandemic.

DESIGN, SETTING, AND PARTICIPANTS: The Adolescent Brain Cognitive Development (ABCD) Study is a multisite 10-year longitudinal study of youth neurocognitive development in the US. Recruitment was staggered where the baseline visit (ages 9 to 10 years) occurred from 2016 to 2018, and visits occurred yearly. The COVID-19 lockdown halted research collection during the 2-year follow-up visits (ages 11 to 12 years), but eventually resumed. As some youths already underwent their 2-year visits prior to lockdown, this allowed for a natural experiment-like design to compare prepandemic and intrapandemic groups. Thus, data were gathered from the 1-year follow-up (pre-COVID-19 lockdown for all youths) and the 2-year follow-up, of which a portion of youths had data collected after the lockdown began, to compare whether a period of near social isolation was associated with mental health symptoms in youths. The prepandemic group consisted of youths with a 2-year follow-up visit collected prior to March 11, 2020, and the intrapandemic group had their 2-year follow-up visit after lockdown restrictions were lifted.

MAIN OUTCOMES AND MEASURES: Assessments included measures on income-to-needs ratio (INR; derived from total household income), the Child Behavior Checklist (a measure of mental health symptomology), and the Family Environmental Scale.

RESULTS: The final sample included 10 399 youths; 3947 (52.3%) were male; 2084 (20.3%) were Latinx/Hispanic; 6765 (66.0%) were White; 4600 (44.2%) reported caregiver education levels below a 4-year college degree; and 2475 (26.2%) had INR either below 100% (indicating poverty) or between 100% and less than 200% (near poverty). Among youths in the intrapandemic group, worse mental health symptoms (eg, more total problems, greater depression, and greater anxiety) over time were associated with being from a household with higher socioeconomic status (eg, when comparing individuals who differed by 1 unit on INR between prepandemic and intrapandemic groups from 1-year to 2-year follow-up, their expected difference in total problems score was 0.79 [95% CI, 0.37-1.22]; false discovery rate-corrected P < .001).

CONCLUSIONS AND RELEVANCE: This cohort study found that the COVID-19 lockdown was associated with disproportionately negative mental health outcomes among youths from higher socioeconomic status backgrounds. Although this study does not shed light on the direct mechanisms driving these associations, it does provide some support for positive outcomes for youths. Future studies are needed to understand whether these associations persist over longer periods of time.

PMID:38967921 | DOI:10.1001/jamanetworkopen.2024.20466

JAMA Netw Open. 2024 Jul 1;7(7):e2420570. doi: 10.1001/jamanetworkopen.2024.20570.

ABSTRACT

IMPORTANCE: Women account for only 28% of current US medical school deans. Studying the differences between women and men in their preparation to becoming deans might help to explain this discrepancy.

OBJECTIVE: To identify differences in the leadership development experiences between women and men in their ascent to the medical school deanship.

DESIGN, SETTING, AND PARTICIPANTS: In this qualitative study, volunteers from the roster of the Association of American Medical Colleges Council of Deans were solicited and interviewed from June 15 to November 9, 2023. Women deans were recruited first, then men who had been appointed to their deanships at a similar time to their women counterparts were recruited. Deans were interviewed on topics related to number of applications for deanships, prior leadership roles, leadership development, personal factors, and career trajectories. Interviews were coded, and themes were extracted through conventional content analysis.

MAIN OUTCOME AND MEASURES: Career and leadership development experiences were elicited using a semistructured interview guide.

RESULTS: We interviewed 17 women and 17 men deans, representing 25.8% (34 of 132) of the total population of US medical school deans. Most deans (23 [67.6%]) practiced a medicine-based specialty or subspecialty. No statistically significant differences were found between women and men with regard to years to attain deanship (mean [SD], 2.7 [3.4] vs 3.7 [3.7] years), years as a dean (mean [SD], 5.7 [5.2] vs 6.0 [5.0] years), highest salary during career (mean [SD], $525 769 [$199 936] vs $416 923 [$195 848]), or medical school rankings (mean [SD], 315.5 [394.5] vs 480.5 [448.9]). Their reports indicated substantive gender differences in their paths to becoming a dean. Compared with men, women deans reported having to work harder to advance, while receiving less support and opportunities for leadership positions by their own institutions. Subsequently, women sought leadership development from external programs. Women deans also experienced gender bias when working with search firms.

CONCLUSIONS AND RELEVANCE: This qualitative study of US medical school deans found that compared with men, women needed to be more proactive, had to participate in external leadership development programs, and had to confront biases during the search process. For rising women leaders, this lack of support had consequences, such as burnout and attrition, potentially affecting the makeup of future generations of medical school deans. Institutional initiatives centering on leadership development of women is needed to mitigate the gender biases and barriers faced by aspiring women leaders.

PMID:38967920 | DOI:10.1001/jamanetworkopen.2024.20570

JAMA Netw Open. 2024 Jul 1;7(7):e2421305. doi: 10.1001/jamanetworkopen.2024.21305.

ABSTRACT

IMPORTANCE: Thirteen human malignant neoplasms have been identified as obesity-associated cancers (OACs), ie, the presence of excess body fat is associated with increased risk of developing cancer and worse prognosis in patients with these specific tumors. The glucagon-like peptide receptor agonist (GLP-1RA) class of pharmaceuticals are effective agents for the treatment of type 2 diabetes (T2D) and for achieving weight loss, but the association of GLP-1RAs with the incident risk of 13 OACs is unclear.

OBJECTIVE: To compare the incident risk of each of the 13 OACs in patients with T2D who were prescribed GLP-1RAs vs insulins or metformin.

DESIGN, SETTING, AND PARTICIPANTS: This retrospective cohort study was based on a nationwide multicenter database of electronic health records (EHRs) of 113 million US patients. The study population included 1 651 452 patients with T2D who had no prior diagnosis of OACs and were prescribed GLP-1RAs, insulins, or metformin during March 2005 to November 2018. Data analysis was conducted on April 26, 2024.

EXPOSURES: Prescription of GLP-1RAs, insulins, or metformin.

MAIN OUTCOMES AND MEASURES: Incident (first-time) diagnosis of each of the 13 OACs occurring during a 15-year follow-up after the exposure was examined using Cox proportional hazard and Kaplan-Meier survival analyses with censoring applied. Hazard ratios (HRs), cumulative incidences, and 95% CIs were calculated. All models were adjusted for confounders at baseline by propensity-score matching baseline covariates.

RESULTS: In the study population of 1 651 452 patients with T2D (mean [SD] age, 59.8 [15.1] years; 827 873 [50.1%] male and 775 687 [47.0%] female participants; 5780 [0.4%] American Indian or Alaska Native, 65 893 [4.0%] Asian, 281 242 [17.0%] Black, 13 707 [0.8%] Native Hawaiian or Other Pacific Islander, and 1 000 780 [60.6%] White participants), GLP-1RAs compared with insulin were associated with a significant risk reduction in 10 of 13 OACs, including in gallbladder cancer (HR, 0.35; 95% CI, 0.15-0.83), meningioma (HR, 0.37; 95% CI, 0.18-0.74), pancreatic cancer (HR, 0.41; 95% CI, 0.33-0.50), hepatocellular carcinoma (HR, 0.47; 95% CI, 0.36-0.61), ovarian cancer (HR, 0.52; 95% CI, 0.03-0.74), colorectal cancer (HR, 0.54; 95% CI, 0.46-0.64), multiple myeloma (HR, 0.59; 95% CI, 0.44-0.77), esophageal cancer (HR, 0.60; 95% CI, 0.42-0.86), endometrial cancer (HR, 0.74; 95% CI, 0.60-0.91), and kidney cancer (HR, 0.76; 95% CI, 0.64-0.91). Although not statistically significant, the HR for stomach cancer was less than 1 among patients who took GLP-1RAs compared with those who took insulin (HR, 0.73; 95% CI, 0.51-1.03). GLP-1RAs were not associated with a reduced risk of postmenopausal breast cancer or thyroid cancer. Of those cancers that showed a decreased risk among patients taking GLP-1RAs compared with those taking insulin, HRs for patients taking GLP-1RAs vs those taking metformin for colorectal and gallbladder cancer were less than 1, but the risk reduction was not statistically significant. Compared with metformin, GLP-1RAs were not associated with a decreased risk of any cancers, but were associated with an increased risk of kidney cancer (HR, 1.54; 95% CI, 1.27-1.87).

CONCLUSIONS AND RELEVANCE: In this study, GLP-1RAs were associated with lower risks of specific types of OACs compared with insulins or metformin in patients with T2D. These findings provide preliminary evidence of the potential benefit of GLP-1RAs for cancer prevention in high-risk populations and support further preclinical and clinical studies for the prevention of certain OACs.

PMID:38967919 | DOI:10.1001/jamanetworkopen.2024.21305

J Ultrasound. 2024 Jul 5. doi: 10.1007/s40477-024-00898-5. Online ahead of print.

ABSTRACT

PURPOSE: In clinical practice, thyroid nodules are classified according to TI-RADS by B-mode and color-flow Doppler study. The aim of the study is to evaluate the possible added value of Superb microvascular imaging (SMI) and elastosonography in the stratification of malignancy risk of thyroid nodules.

METHODS: All patients with thyroid nodules who were candidates for needle aspiration were enrolled. Experienced operators performed a standard examination with TI-RADS calculation, followed by SMI and elastosonography on the nodules. The needle aspiration outcome was used as the gold standard. Statistical analysis calculated the ROC curves of the techniques applied individually and serially.

RESULTS: In this prospective study, we analysed 260 nodules, found in 251 patients (mean age 58.6 yo ± 14). 11.2% were TI-RADS 1, 18.9% TI-RADS 2, 41.1% TI-RADS 3, 28.1% TI-RADS 4, and 0.8% TI-RADS 5. The SMI technique showed an AUC of 0.57 (95% CI 0.49; 0.66) while elastosonography had an AUC of 0.58 (95% CI 0.49; 0.67) when used individually. SMI together with elastosonography had AUC of 0.62 (95% CI 0.52; 0.71). TI-RADS had AUC of 0.67 (95% CI 0.59; 0.75). SMI and elastosonography applied together with TI-RADS had AUC of 0.69 (95% CI 0.61; 0.77).

CONCLUSION: In the real-world cohort of patients, the SMI technique and elastosonography slightly increase the AUC of TI-RADS. Taken individually, SMI and elastosonography do not have a very strong AUC.

PMID:38967880 | DOI:10.1007/s40477-024-00898-5

Qual Life Res. 2024 Jul 5. doi: 10.1007/s11136-024-03700-5. Online ahead of print.

ABSTRACT

BACKGROUND: People who were disabled from working reported substantially worse depression in recent research [1] despite adjustment for demographic covariates, cognitive-appraisal processes, and COVID-specific stressors, thus motivating the present work.

OBJECTIVE: This study sought to “drill down” to understand employment-group differences (employed, retired, unemployed, disabled) in cognitive factors, and how these factors played into paths to depression during COVID early in the pandemic and depression trajectories over 15.5 months of follow-up.

METHODS: This longitudinal cohort study (n = 771) included chronically ill and general-population samples in the United States, characterized into the same depression-trajectory groups as the earlier study [1]. The Quality-of-Life Appraisal Profile_v2 Short-Form assessed cognitive-appraisal processes. COVID-specific scales assessed hardship, worry, and social support. Chi-square, Analysis of Variance, classification and regression tree, and random effects modeling investigated factors associated with reported depression over time specifically by employment group, rather than in the whole sample which was the focus of the earlier study.

RESULTS: Disabled participants were disproportionately represented in the stably depressed trajectory group, reporting more hardship and worry, and lower social support than employed and retired participants (p < 0.0001). They were more likely to focus on health goals, problem goals, and emphasizing the negative (p < 0.001). They had different paths and cut-points to depression than employed/unemployed/retired participants. Even mild endorsement of emphasizing the negative and recent changes predicted higher depression. COVID-specific stressors and cognitive-appraisal processes were less implicated in depression among disabled participants compared to others.

CONCLUSIONS: Disabled participants were at greater risk of stable depression during the COVID pandemic. Small increases in emphasizing the negative were a path to worse depression, and disabled participants’ depression may be less reactive to external circumstances or ways of thinking.

PMID:38967871 | DOI:10.1007/s11136-024-03700-5

J Mol Neurosci. 2024 Jul 5;74(3):63. doi: 10.1007/s12031-024-02240-4.

ABSTRACT

High-grade gliomas (HGG) comprising WHO grades 3 and 4 have a poor overall survival (OS) that has not improved in the past decade. Herein, markers representing four components of the tumor microenvironment (TME) were identified to define their linked expression in TME and predict the prognosis in HGG, namely, interleukin6 (IL6, inflammation), inducible nitric oxide synthase(iNOS), heat shock protein-70 (HSP70, hypoxia), vascular endothelial growth receptor (VEGF), and endothelin1 (ET1) (angiogenesis) and matrix metalloprotease-14 (MMP14) and intercellular adhesion molecule1 (ICAM1, extracellular matrix). To establish a non-invasive panel of biomarkers for precise prognostication in HGG. Eighty-six therapy-naive HGG patients with 45 controls were analyzed for the defined panel. Systemic expression of extracellular/secretory biomarkers was screened dot-immune assay (DIA), quantified by ELISA, and validated by immunocytochemistry (ICC). Expression of iNOS, HSP70, IL-6, VEGF, ET1, MMP14, and ICAM1 was found to be positively associated with grade. Quantification of circulating levels of the markers by ELISA and ICC presented a similar result. The biomarkers were observed to negatively correlate with OS (p < 0.0001). Cox-regression analysis yielded all biomarkers as good prognostic indicators and independent of confounders. On applying combination statistics, the biomarker panel achieved higher sensitivity than single markers to define survival. The intra-association of all seven biomarkers was significant, hinting of a cross-talk between the TME components and a hypoxia driven systemic inflammation upregulating the expression of other components. This is a first ever experimental study of a marker panel that can distinguish between histopathological grades and also delineate differential survival using liquid biopsy, suggesting that markers of hypoxia can be a cornerstone for personalized therapy. The panel of biomarkers of iNOS, HSP70, IL-6, VEGF, ET1, MMP14, and ICAM1 holds promise for prognostication in HGG.

PMID:38967861 | DOI:10.1007/s12031-024-02240-4

Psychometrika. 2024 Jul 5. doi: 10.1007/s11336-024-09983-4. Online ahead of print.

ABSTRACT

Cognitive diagnostic models (CDMs) are a popular family of discrete latent variable models that model students’ mastery or deficiency of multiple fine-grained skills. CDMs have been most widely used to model categorical item response data such as binary or polytomous responses. With advances in technology and the emergence of varying test formats in modern educational assessments, new response types, including continuous responses such as response times, and count-valued responses from tests with repetitive tasks or eye-tracking sensors, have also become available. Variants of CDMs have been proposed recently for modeling such responses. However, whether these extended CDMs are identifiable and estimable is entirely unknown. We propose a very general cognitive diagnostic modeling framework for arbitrary types of multivariate responses with minimal assumptions, and establish identifiability in this general setting. Surprisingly, we prove that our general-response CDMs are identifiable under $Q$ -matrix-based conditions similar to those for traditional categorical-response CDMs. Our conclusions set up a new paradigm of identifiable general-response CDMs. We propose an EM algorithm to efficiently estimate a broad class of exponential family-based general-response CDMs. We conduct simulation studies under various response types. The simulation results not only corroborate our identifiability theory, but also demonstrate the superior empirical performance of our estimation algorithms. We illustrate our methodology by applying it to a TIMSS 2019 response time dataset.

PMID:38967857 | DOI:10.1007/s11336-024-09983-4

Arch Dermatol Res. 2024 Jul 5;316(7):459. doi: 10.1007/s00403-024-03198-4.

NO ABSTRACT

PMID:38967855 | DOI:10.1007/s00403-024-03198-4

Environ Sci Pollut Res Int. 2024 Jul 5. doi: 10.1007/s11356-024-34172-2. Online ahead of print.

ABSTRACT

Geopolymer concrete (GPC) utilizes industrial wastes such as fly ash, bottom, ash, and slag instead of conventional Portland cement as the primary binder, and thus promote a sustainable solution for bulk concrete works. Nanomaterials (NMs) have often been linked with developing these sustainable high-strength mixes. Furthermore, NMs have been proven to imbibe enhanced physio-mechanical properties, often eliminating the need for thermal curing. This not only reduces total energy demand for concrete production but also offers enhanced durability due to denser inter-particle packing of the mix. This review meticulously summarizes the performance of GPCs dosed with different types of NMs including nano-silica (NS), nano-alumina (NA), nano-titanium di oxide (NT), nano-clay (NC), nano-graphene oxide (NG), and carbon nanotubes (CNT). The reported findings of previous studies were carefully studied and compiled in a systematic manner in terms of physio-mechanical, durability, and microstructural properties. It was observed that addition of NM, in general, leads to a slight reduction in the mix’s workability; however, the same can be counteracted by use of suitable superplasticizers. Furthermore, inclusion of NMs in GPC offers the distinct advantage of high density and impermeability, resulting in enhanced mechanical and durability characteristics. Two distinct multi-criteria decision making (MCDM) techniques were employed in this study to statistically analyze the most preferred NM for GPC. It was found that addition of NS (2%) yields the most desirable outcomes. Finally, limitations and challenges associated with production of NM dosed GPC along with scopes for future works are presented toward the end of this review.

PMID:38967851 | DOI:10.1007/s11356-024-34172-2

Arch Dermatol Res. 2024 Jul 5;316(7):452. doi: 10.1007/s00403-024-03200-z.

NO ABSTRACT

PMID:38967839 | DOI:10.1007/s00403-024-03200-z