Tag: nevin manimala

Oncoimmunology. 2025 Dec;14(1):2492932. doi: 10.1080/2162402X.2025.2492932. Epub 2025 Apr 15.

ABSTRACT

EVIDENS was a prospective, non-interventional, longitudinal study conducted in non-small cell lung cancer (NSCLC) patients receiving nivolumab in France. It recruited adults with pathologically confirmed NSCLC who initiated nivolumab between October 2016 and November 2017; the final results are reported here. Primary outcomes included baseline characteristics and 36-month overall survival (OS). Secondary outcomes included progression free survival (PFS), objective response rate (ORR), safety and health-related quality of life (HRQoL; assessed regardless of nivolumab continuation or interruption). Overall, 1423 patients were included in the analysis population (median age 66 years; non-squamous histology 69.1%; stage IV disease 91.5%; brain metastases 19.9%). Almost all patients (99.7%) had received prior chemotherapy, and most patients received nivolumab as second-line (73.5%) or later (26.1%) therapy. The 36-month OS rate was 19.7% (95% confidence interval [CI] 17.5-22.0); OS was significantly shorter in patients with squamous versus non-squamous tumors (9.8 [95% CI 8.6-11.2] months vs 11.8 [95% CI 10.2-13.2] months; p = 0.005). The 36-month PFS rate was 8.8% (95% CI 7.3-10.4). The 12-month investigator-assessed best ORR in the overall population was 20.4%. Eastern Cooperative Oncology Group performance status, smoking status, tumor histology, disease stage and liver metastasis independently predicted survival. Grade 3 and 4 treatment-related adverse events were reported in 8.0% and 0.8% of patients, respectively; eight treatment-related deaths occurred (0.005%). HRQoL was maintained with slight improvement throughout the study, without statistical significance. These results confirm that the real-world effectiveness and safety of nivolumab in these patients is similar to that observed in clinical trials.

PMID:40232811 | DOI:10.1080/2162402X.2025.2492932

J Dev Behav Pediatr. 2025 Mar-Apr 01;46(2):e155-e161. doi: 10.1097/DBP.0000000000001350. Epub 2025 Feb 13.

ABSTRACT

OBJECTIVE: Promoting health during adolescence can support long-term well-being, especially for teens diagnosed with attention-deficit/hyperactivity disorder (ADHD), who face increased risks due to the disorder’s impact on development and health behaviors. ADHD is often associated with difficulties in social interactions, a higher likelihood of bullying involvement, and co-occurring mental health conditions. These factors may also be influenced by health factors such as physical activity, sleep quality, and screen time usage. Nationally representative teen self-reports provide a novel perspective on ADHD-related health outcomes compared with relying on parent reports.

METHOD: We used nationally representative data from the National Health Interview Survey (NHIS) and NHIS-Teen from July 2021 to December 2022, to examine teen-reported health and well-being factors, stratified by parent-reported ADHD diagnoses among teens aged 12 to 17 years. Weighted prevalence estimates and adjusted prevalence ratios (aPR) adjusting for teen age, sex, and family income, all with 95% confidence intervals (CIs), were calculated.

RESULTS: Just over 10% of teens had ADHD and they reported higher prevalence of bullying victimization (aPR = 1.64, CI = 1.27-2.11), difficulties making friends (aPR = 1.83, CI = 1.15-2.90), difficulty getting out of bed (aPR = 1.29, CI = 1.02-1.64), irregular wake times (aPR = 2.17, CI = 1.45-3.25), and >4 hours daily screen time (aPR = 1.26, CI = 1.05-1.52) than teens without ADHD; teens with ADHD reported a lower prevalence of lacking peer support (aPR = 0.70, CI = 0.51-0.96).

CONCLUSION: Teens with ADHD face distinct challenges related to social-emotional well-being and health behaviors that support overall wellness. Findings may inform opportunities for health promotion among teens with ADHD.

PMID:40232808 | DOI:10.1097/DBP.0000000000001350

J Exp Psychol Gen. 2025 Apr 14. doi: 10.1037/xge0001775. Online ahead of print.

ABSTRACT

Recent statistical learning views of reading posit that writing systems present to their readers a wide range of statistical regularities which are leveraged to process printed texts. While substantial research has focused on the “vertical” correlations between orthographic, phonological, and semantic units in a given writing system, here we employ information-theoretic measures to further consider “horizontal” regularities-the extent to which printed units predict and are predicted by other printed units, in one writing system compared to another. As a first step, we present a novel information-theoretic measure that captures how horizontal regularities constrain lexical access given the distribution of orthographic information in a writing system and considering realistic retinal and cognitive constraints. We then present a series of empirical studies serving as proof of concept, from both single-word reading experiments and analyses of eye movements during naturalistic reading, which examine how a reader who has internalized these regularities could leverage them for efficient uncertainty reduction regarding printed information while reading on-the-fly. Our findings converge on high-order general principles fleshed out in terms of explicit computational mechanisms that simultaneously apply to a wide range of writing systems and that can potentially explain behavioral outcomes across the trajectory of reading development and reading skill. (PsycInfo Database Record (c) 2025 APA, all rights reserved).

PMID:40232803 | DOI:10.1037/xge0001775

Am J Orthopsychiatry. 2025 Apr 14. doi: 10.1037/ort0000845. Online ahead of print.

ABSTRACT

The present study aimed to identify profiles of women diagnosed with breast cancer 18 months postdiagnosis based on a combination of risk and protective factors. Additionally, the study aimed to examine various potential early predictors at 3 and 6 months postdiagnosis to determine their association with the identified profiles at 18 months postdiagnosis. The sample of the study consisted of 499 women with breast cancer from four oncology centers located in Finland, Portugal, Italy, and Israel. Women completed self-report questionnaires at three time points postdiagnosis: 3, 6, and 18 months. The measures utilized included the Hospital Anxiety and Depression Scale, the Posttraumatic Stress Disorder Checklist for Diagnostic and Statistical Manual of Mental Disorders, fifth edition, the Distress Thermometer, a single item assessing self-efficacy, the Positive and Negative Affect Schedule, a single item of bounce-back ability, and the Posttraumatic Growth Inventory. Four profiles were identified: Resilience, High distress, Moderate distress, and Bouncing back coupled with distress. The primary predictors across all profiles were anxiety and depression, followed by posttraumatic growth, posttraumatic stress, self-efficacy, and bounce-back ability. This study highlighted that the challenges associated with breast cancer begin at the time of diagnosis and persist beyond the completion of treatment. Early provision of psychosocial support may facilitate improved positive adjustment 18 months postdiagnosis. (PsycInfo Database Record (c) 2025 APA, all rights reserved).

PMID:40232757 | DOI:10.1037/ort0000845

Am Psychol. 2025 Apr 14. doi: 10.1037/amp0001534. Online ahead of print.

ABSTRACT

Memorializes Robin M. Hogarth (1942-2024). Hogarth was a founder of the field of judgment and decision making (aka behavioral decision theory), which begat behavioral economics. His legacy includes 50 years of research, mentorship, outreach, and leadership. Robin’s scholarly contributions ranged from precise statistical analyses of specific questions (e.g., how best to combine estimates across judges) to equally rigorous examinations of big topics like causal reasoning, learning from experience, and the nature of intuition. He collaborated with scholars in fields from medicine to urban planning and with a remarkable cadre of PhD students at both the University of Chicago Graduate School of Business and Universitat Pompeu Fabra. Robin served as president of the major decision research societies in both the United States and Europe. (PsycInfo Database Record (c) 2025 APA, all rights reserved).

PMID:40232756 | DOI:10.1037/amp0001534

Psychol Methods. 2025 Apr 14. doi: 10.1037/met0000674. Online ahead of print.

ABSTRACT

Theories of individual differences are foundational to psychological and brain sciences, yet they are traditionally developed and tested using superficial summaries of data (e.g., mean response times) that are disconnected from our otherwise rich conceptual theories of behavior. To resolve this theory-description gap, we review the generative modeling approach, which involves formally specifying how behavior is generated within individuals, and in turn how generative mechanisms vary across individuals. Generative modeling shifts our focus away from estimating descriptive statistical “effects” toward estimating psychologically interpretable parameters, while simultaneously enhancing the reliability and validity of our measures. We demonstrate the utility of generative modeling in the context of the “reliability paradox,” a phenomenon wherein replicable group effects (e.g., Stroop effect) fail to capture individual differences (e.g., low test-retest reliability). Simulations and empirical data from the Implicit Association Test and Stroop, Flanker, Posner, and delay discounting tasks show that generative models yield (a) more theoretically informative parameters, and (b) higher test-retest reliability estimates relative to traditional approaches, illustrating their potential for enhancing theory development. (PsycInfo Database Record (c) 2025 APA, all rights reserved).

PMID:40232753 | DOI:10.1037/met0000674

J Chem Inf Model. 2025 Apr 15. doi: 10.1021/acs.jcim.5c00052. Online ahead of print.

ABSTRACT

This study examines the statistical conditions of coevolutionary signals that allow algorithmic predictions of protein partners based on amino acid sequences rather than 3D structures. It introduces a Markov stochastic model that predicts the number of correct protein partners based on coevolutionary information. The model defines state probabilities using a Poisson mixture of normal distributions, with key parameters including the total number of protein sequences M, the coevolutionary information gap α, and variance σ₀². The model suggests that algorithmic approaches that maximize coevolutionary information cannot effectively resolve partners in protein families with a large number of sequences M ≥ 100. The model shows that true-positive (TP) rates can be enhanced by disregarding mismatches among similar sequences. This approach allows a distinction, in terms of {α, σ₀²}, between optimized solutions with trivial errors and other degenerate solutions. Our findings enable the a priori classification of protein families where partners can be reliably predicted by ignoring trivial errors between similar sequences, advancing the understanding of coevolutionary models for large protein data sets.

PMID:40232741 | DOI:10.1021/acs.jcim.5c00052

JAMA Netw Open. 2025 Apr 1;8(4):e253435. doi: 10.1001/jamanetworkopen.2025.3435.

ABSTRACT

IMPORTANCE: Large regional variations in outcomes after out-of-hospital cardiac arrest (OHCA) exist.

OBJECTIVE: To assess whether neighborhood rurality or economic deprivation where an OHCA occurred is associated with variation in emergency medical services (EMS) outcomes after OHCA.

DESIGN, SETTING, AND PARTICIPANTS: This cohort study used data collated by ESO Inc on US adult patients (aged ≥18 years) with nontraumatic OHCA receiving chest compressions or defibrillation from EMS between January 1, 2022, and December 31, 2023.

EXPOSURES: Rurality was assessed using Rural-Urban Commuting Area codes. Deprivation was assessed using the Area Deprivation Index. Both were derived from US Census data and grouped by EMS agency.

MAIN OUTCOMES AND MEASURES: Outcomes were restoration of spontaneous circulation (ROSC) at emergency department (ED) arrival, survival to hospital discharge, and favorable discharge destination. Discharge outcomes were only available for patients transported to hospitals using health data exchange. Generalized estimating equations were used to account for correlated data.

RESULTS: A total of 162 289 patients with OHCA had resuscitation attempted (median [IQR] age, 66 [53-76] years; 62.3% male). Overall, 28.1% of these patients lived in rural or suburban locations, 12.3% lived in areas with high deprivation, 18.7% had a first rhythm of ventricular tachycardia or ventricular fibrillation or shockable by automated external defibrillator rhythm, and 27.6% received bystander cardiopulmonary resuscitation. The mean (SD) EMS response time was 8.7 (5.6) minutes. Upon arrival at the ED, 23.7% of patients had ROSC. Compared with OHCAs in urban areas with low deprivation, those in rural areas with high deprivation (adjusted odds ratio [AOR], 0.81; 95% CI, 0.72-0.91), moderate deprivation (AOR, 0.75; 95% CI, 0.70-0.81), or low deprivation (AOR, 0.74; 95% CI, 0.62-0.88) had lower odds of ROSC at ED arrival. Among patients transported to hospitals using health data exchange, OHCAs in urban areas with high or moderate deprivation had lower odds of survival (AOR, 0.78 [95% CI, 0.68-0.90] and 0.82 [95% CI, 0.75-0.89], respectively) and favorable discharge destination (AOR, 0.65 [95% CI, 0.53-0.79] and 0.77 [95% CI, 0.69-0.87], respectively).

CONCLUSIONS AND RELEVANCE: In this cohort study, OHCAs in rural areas of all levels of economic deprivation were associated with less ROSC at ED arrival vs urban areas with low deprivation, and OHCAs in urban areas with high or moderate deprivation are associated with less survival and less favorable discharge destination, suggesting worse neurologic outcomes. Care improvements alone may not reduce geographic differences in outcomes after OHCA.

PMID:40232722 | DOI:10.1001/jamanetworkopen.2025.3435

JAMA Netw Open. 2025 Apr 1;8(4):e255033. doi: 10.1001/jamanetworkopen.2025.5033.

ABSTRACT

IMPORTANCE: Although patients enrolled in trials have superior survival outcomes compared with those in routine practice, it is unknown whether such differences extend to contact days, a measure of time toxicity.

OBJECTIVE: To evaluate differences in contact days for patients with advanced stage non-small cell lung cancer (NSCLC) receiving care in trials or routine practice.

DESIGN, SETTING, AND PARTICIPANTS: This population-based, retrospective, matched cohort study assessed adults from Ontario, Canada, who were diagnosed with advanced-stage NSCLC between January 1, 2010, and December 31, 2017, and who died between January 1, 2010, and December 31, 2019. The maximum follow-up time from diagnosis was 2 years. Data analysis was performed from May 5, 2024, to October 22, 2024.

EXPOSURE: Patients receiving specific, systemic, palliative-intent, cancer-directed drug(s) as part of a trial were matched 1:1 with patients who received the same drug(s) after approval in routine practice in the same line of treatment.

MAIN OUTCOMES AND MEASURES: Contact days (days with in-person health care contact) were identified through administrative claims data. Models were fitted with cubic splines to describe trajectories of weekly percentage of contact days.

RESULTS: Of the 250 patients (mean [SD] age, 63.6 [9.2] years; 140 [56.0%] male), 125 were trial participants and 125 were receiving care in routine practice. Trial participants were younger (median [IQR] age, 63 [56-69] years vs 64 [58-70] years in routine care patients; standardized difference, 0.21) and had fewer comorbidities (eg, hypertension [45 (36.0%) vs 59 (47.2%); standardized difference, 0.23]). Median (IQR) contact days from diagnosis to death were higher for trial participants compared with those in routine practice (79 [62-104] vs 68 [46-98] days; standardized difference, 0.26). However, trial participants had a longer median (IQR) overall survival (eg, 12.8 [8.7-18.0] vs 10.5 [5.2-14.7] months; standardized difference, 0.46) and a slightly lower median percentage of contact days after adjusting for survival (20.3% [95% CI, 18.1%-21.7%] vs 21.2% [95% CI, 19.3%-25.7%]). During treatment, trial participants experienced a lower median percentage of contact days (18.4% [95% CI, 16.3%-20.8%] vs 25.5% [95% CI, 20.7%-30.3%]); inpatient care accounted for 18.5% (95% CI, 11.1%-29.6%) of on-treatment contact days for trial participants vs 40.0% (95% CI, 30.0%-47.6%) in routine practice. Normalized contact-day trajectories were U-shaped for all groups, with lower peaks and troughs among trial participants.

CONCLUSIONS AND RELEVANCE: In this population-based cohort study, patients receiving systemic therapy as part of trials experienced a lower percentage of contact days, accounted for by greater hospitalization rates in routine practice. Addressing the predominantly outpatient, protocol-mandated visits may represent opportunities to decrease trial-related time toxicity.

PMID:40232720 | DOI:10.1001/jamanetworkopen.2025.5033

JAMA Netw Open. 2025 Apr 1;8(4):e255047. doi: 10.1001/jamanetworkopen.2025.5047.

ABSTRACT

IMPORTANCE: Health-related social risks are increasingly recognized as important contributors to health. Compared with individual screening, neighborhood measures are potentially a lower cost, scalable strategy for identifying social risk.

OBJECTIVE: To inform health resource planning and social risk screening strategies by comparing self-reported vs neighborhood-level social risk with inpatient, emergency department (ED), and outpatient care.

DESIGN, SETTING, AND PARTICIPANTS: A cross-sectional analysis of self-reported social risks measured during Medicaid enrollment and neighborhood-level social risk in relation to health care use was conducted. Members of Kaiser Permanente Northern California, a large integrated health care delivery system, who completed the Medicaid Integrated Outcomes Questionnaire from January 1, 2018, to February 29, 2020, were included. Analysis took place from January 8 to November 29, 2024.

EXPOSURE: Neighborhood-level social risk (living in the least-resourced Neighborhood Deprivation Index quartile) and self-reported social risk (indicating a need or wanting help with finances, food, housing, or transportation domains).

MAIN OUTCOMES AND MEASURES: Hospital and ED admissions, primary care, specialty care, mental health, and social work visits in the year prior to questionnaire completion. Multivariable negative binomial regression models were analyzed for each type of health care use, controlling for demographic characteristics and several health conditions (eg, asthma, hypertension, and chronic pain).

RESULTS: Among 13 527 respondents (8631 [63.8%] female; 5289 [39.1%] aged 25-44 years; 2846 [21.0%] Asian, 1986 [14.7%] Black or African American, 3040 [22.5%] Hispanic, 4602 [34.0%] White, and 1053 [7.8%] other race or ethnicity), 33.8% in the most-resourced neighborhood reported at least 1 social risk vs 40.1% in the least-resourced quartile (P < .001). Individual- and neighborhood-level measures were each associated with ED visits (marginal effect estimate for both measures: 0.23; 95% CI, 0.17-0.29). Neither measure was associated with hospital admissions. Individual risk was associated with greater use of all outpatient services (ranging from primary care visit marginal effect estimate: 0.22; 95% CI, 0.13-0.31 to mental health visit marginal effect estimate: 1.21; 95% CI, 0.67-1.75). Neighborhood-level risk was not associated with most outpatient visits and was negatively associated with mental health visits.

CONCLUSIONS AND RELEVANCE: In this cross-sectional study, associations were found for hospital and ED use but not outpatient visits, especially mental health visits. These findings suggest that individual social risk screening appears to provide distinct information compared with neighborhood social risk.

PMID:40232719 | DOI:10.1001/jamanetworkopen.2025.5047