Nevin Manimala

J Med Internet Res. 2025 Jan 29;27:e65974. doi: 10.2196/65974.

ABSTRACT

BACKGROUND: The online nature of decision aids (DAs) and related e-tools supporting women’s decision-making regarding breast cancer screening (BCS) through mammography may facilitate broader access, making them a valuable addition to BCS programs.

OBJECTIVE: This systematic review and meta-analysis aims to evaluate the scientific evidence on the impacts of these e-tools and to provide a comprehensive assessment of the factors associated with their increased utility and efficacy.

METHODS: We followed the 2020 PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines and conducted a search of MEDLINE, PsycINFO, Embase, CINAHL, and Web of Science databases from August 2010 to April 2023. We included studies reporting on populations at average risk of breast cancer, which utilized DAs or related e-tools, and assessed women’s participation in BCS by mammography or other key cognitive determinants of decision-making as primary or secondary outcomes. We conducted meta-analyses on the identified randomized controlled trials, which were assessed using the revised Cochrane Risk of Bias 2 (RoB 2) tool. We further explored intermediate and high heterogeneity between studies to enhance the validity of our results.

RESULTS: In total, 22 different e-tools were identified across 31 papers. The degree of tailoring in the e-tools, specifically whether the tool was fully tailored or featured with tailoring, was the most influential factor in women’s decision-making regarding BCS. Compared with control groups, tailored e-tools significantly increased women’s long-term participation in BCS (risk ratio 1.14, 95% CI 1.07-1.23, P<.001, I²=0%). Tailored-to-breast-cancer-risk e-tools increased women’s level of worry (mean difference 0.31, 95% CI 0.13-0.48, P<.001, I²=0%). E-tools also improved women’s adequate knowledge of BCS, with features-with-tailoring e-tools designed and tested with the general population being more effective than tailored e-tools designed for or tested with non-BCS participants (χ²₁=5.1, P=.02). Features-with-tailoring e-tools increased both the rate of women who intended not to undergo BCS (risk ratio 1.88, 95% CI 1.43-2.48, P<.001, I²=0%) and the rate of women who had made an informed choice regarding their intention to undergo BCS (risk ratio 1.60, 95% CI 1.09-2.33, P=.02, I²=91%). Additionally, these tools decreased the proportion of women with decision conflict (risk ratio 0.77, 95% CI 0.65-0.91, P=.002, I²=0%). Shared decision-making was not formally evaluated. This review is limited by small sample sizes, including only a few studies in the meta-analysis, some with a high risk of bias, and high heterogeneity between the studies and e-tools.

CONCLUSIONS: Features-with-tailoring e-tools could potentially negatively impact BCS programs by fostering negative intentions and attitudes toward BCS participation. Conversely, tailored e-tools may increase women’s participation in BCS but, when tailored to risk, they may elevate their levels of worry. To maximize the effectiveness of e-tools while minimizing potential negative impacts, we advocate for an “on-demand” layered approach to their design.

PMID:39879616 | DOI:10.2196/65974

JMIR Public Health Surveill. 2025 Jan 29;11:e63809. doi: 10.2196/63809.

ABSTRACT

BACKGROUND: Suicide represents a critical public health concern, and machine learning (ML) models offer the potential for identifying at-risk individuals. Recent studies using benchmark datasets and real-world social media data have demonstrated the capability of pretrained large language models in predicting suicidal ideation and behaviors (SIB) in speech and text.

OBJECTIVE: This study aimed to (1) develop and implement ML methods for predicting SIBs in a real-world crisis helpline dataset, using transformer-based pretrained models as a foundation; (2) evaluate, cross-validate, and benchmark the model against traditional text classification approaches; and (3) train an explainable model to highlight relevant risk-associated features.

METHODS: We analyzed chat protocols from adolescents and young adults (aged 14-25 years) seeking assistance from a German crisis helpline. An ML model was developed using a transformer-based language model architecture with pretrained weights and long short-term memory layers. The model predicted suicidal ideation (SI) and advanced suicidal engagement (ASE), as indicated by composite Columbia-Suicide Severity Rating Scale scores. We compared model performance against a classical word-vector-based ML model. We subsequently computed discrimination, calibration, clinical utility, and explainability information using a Shapley Additive Explanations value-based post hoc estimation model.

RESULTS: The dataset comprised 1348 help-seeking encounters (1011 for training and 337 for testing). The transformer-based classifier achieved a macroaveraged area under the curve (AUC) receiver operating characteristic (ROC) of 0.89 (95% CI 0.81-0.91) and an overall accuracy of 0.79 (95% CI 0.73-0.99). This performance surpassed the word-vector-based baseline model (AUC-ROC=0.77, 95% CI 0.64-0.90; accuracy=0.61, 95% CI 0.61-0.80). The transformer model demonstrated excellent prediction for nonsuicidal sessions (AUC-ROC=0.96, 95% CI 0.96-0.99) and good prediction for SI and ASE, with AUC-ROCs of 0.85 (95% CI 0.97-0.86) and 0.87 (95% CI 0.81-0.88), respectively. The Brier Skill Score indicated a 44% improvement in classification performance over the baseline model. The Shapley Additive Explanations model identified language features predictive of SIBs, including self-reference, negation, expressions of low self-esteem, and absolutist language.

CONCLUSIONS: Neural networks using large language model-based transfer learning can accurately identify SI and ASE. The post hoc explainer model revealed language features associated with SI and ASE. Such models may potentially support clinical decision-making in suicide prevention services. Future research should explore multimodal input features and temporal aspects of suicide risk.

PMID:39879608 | DOI:10.2196/63809

J Med Internet Res. 2025 Jan 29;27:e63975. doi: 10.2196/63975.

ABSTRACT

BACKGROUND: Lifestyle interventions have been acknowledged as effective strategies for preventing type 2 diabetes mellitus (T2DM). However, the accessibility of conventional face-to-face interventions is often limited. Digital health intervention has been suggested as a potential solution to overcome the limitation. Despite this, there remains a significant gap in understanding the effectiveness of digital health for individuals with prediabetes, particularly in reducing T2DM incidence and reverting to normoglycemia.

OBJECTIVE: This study aimed to assess the effectiveness of different intervention modes of digital health, face-to-face, and blended interventions, particularly the benefits of digital health intervention, in reducing T2DM incidence and facilitating the reversion to normoglycemia in adults with prediabetes compared to the usual care.

METHODS: We conducted a comprehensive search in 9 electronic databases, namely MEDLINE, Embase, ACP Journal Club, Cochrane Central Register of Controlled Trials, Cochrane Database of Systematic Reviews, Cochrane Clinical Answers, Cochrane Methodology Register, Health Technology Assessment, and NHS Economic Evaluation Database through Ovid, from the inception to October 2024. This review included randomized controlled trials (RCTs) that studied the effectiveness of lifestyle interventions in adults with prediabetes. The overall intervention effect was synthesized using a random-effects model. The I² statistic was used to assess heterogeneity across the RCTs. We performed a subgroup analysis to explore the effectiveness of digital health, face-to-face, and blended interventions compared with the control group, which received usual care.

RESULTS: From an initial 7868 records retrieved from 9 databases, we identified 54 articles from 31 RCTs. Our analysis showed that face-to-face interventions demonstrated a significant 46% risk reduction in T2DM incidence (risk ratio [RR] 0.54, 95% CI 0.47-0.63; I²=43%; P<.001), and a 46% increase in the reversion to normoglycemia (RR 1.46, 95% CI 1.11-1.91; I²=82%; P=.006), when compared with the control group. On the other hand, digital health interventions, compared with the control group, were associated with a 12% risk reduction in T2DM incidence (RR 0.88, 95% CI 0.77-1.01; I²=0.6%; P=.06). Moreover, the blended interventions combining digital and face-to-face interventions suggested a 37% risk reduction in T2DM incidence (RR 0.63, 95% CI 0.49-0.81;I²<0.01%; P<.001) and an 87% increase in the reversion to normoglycemia (RR 1.87, 95% CI 1.30-2.69; I²=23%; P=.001). However, no significant effect on the reversal of prediabetes to normoglycemia was observed from the digital health interventions.

CONCLUSIONS: Face-to-face interventions have consistently demonstrated promising effectiveness in both reductions in T2DM incidence and reversion to normoglycemia in adults with prediabetes. However, the effectiveness of digital health interventions in these areas has not been sufficiently proven. Given these results, further research is required to provide more definitive evidence of digital health and blended interventions in T2DM prevention in the future.

TRIAL REGISTRATION: PROSPERO CRD42023414313; https://tinyurl.com/55ac4j4n.

PMID:39879607 | DOI:10.2196/63975

J Clin Oncol. 2025 Jan 29:JCO2401269. doi: 10.1200/JCO-24-01269. Online ahead of print.

ABSTRACT

PURPOSE: Mobocertinib is an oral epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor that targets EGFR exon 20 insertion (ex20ins) mutations in non-small cell lung cancer (NSCLC). This open-label, phase III trial (EXCLAIM-2: ClinicalTrials.gov identifier: NCT04129502) compared mobocertinib versus platinum-based chemotherapy as first-line treatment of EGFR ex20ins+ advanced/metastatic NSCLC.

METHODS: Patients with treatment-naive EGFR ex20ins+ locally advanced/metastatic NSCLC were randomly assigned 1:1 to mobocertinib 160 mg once daily or pemetrexed plus cisplatin or carboplatin every 3 weeks for four cycles followed by maintenance pemetrexed. The primary end point was progression-free survival (PFS) by blinded independent central review (BICR), with planned interim analysis (IA) after approximately 70% of 227 expected PFS events.

RESULTS: A total of 354 patients were randomly assigned (mobocertinib: n = 179; chemotherapy: n = 175). Baseline characteristics were balanced between arms. At IA (cutoff: April 4, 2023), the median PFS per BICR was 9.6 months in each treatment arm (hazard ratio [HR], 1.04 [95% CI, 0.77 to 1.39]; P = .803). The primary end point crossed the prespecified futility boundary (HR > 1). The confirmed objective response rate (95% CI) per BICR was 32% (26 to 40) with mobocertinib versus 30% (24 to 38) with chemotherapy; the median duration of response was 12.0 versus 8.4 months. Quality-of-life assessments indicated clinically meaningful delays in time to deterioration of lung cancer symptoms, cognitive function, and constipation with mobocertinib versus chemotherapy. Grade ≥3 adverse events in >5% of patients (mobocertinib, chemotherapy) were diarrhea (20%, 1%), anemia (6%, 10%), increased lipase (6%, 0%), and decreased neutrophil count (1%, 7%).

CONCLUSION: The EXCLAIM-2 trial did not meet its primary end point. The efficacy of mobocertinib was not superior to platinum-based chemotherapy for first-line treatment of patients with EGFR ex20ins+ advanced/metastatic NSCLC.

PMID:39879577 | DOI:10.1200/JCO-24-01269

Annu Rev Clin Psychol. 2025 Jan 29. doi: 10.1146/annurev-clinpsy-081423-023518. Online ahead of print.

ABSTRACT

The opioid crisis, driven by illicitly manufactured fentanyl, presents significant challenges in treating opioid use disorder (OUD) and opioid withdrawal syndrome. Fentanyl is uniquely lethal due to its rapid onset and respiratory depressant effects, driving the surge in overdose deaths. This review examines the limitations of traditional diagnostic criteria like those of the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, Text Revision (DSM-5-TR) and explores the potential of dimensional models such as the Hierarchical Taxonomy of Psychopathology (HiTOP) for a more nuanced understanding of OUD. Current treatments, including medications for OUD, are evaluated for efficacy in managing fentanyl-related OUD. Innovations in drug formulations and alternative induction methods are discussed to address the unique challenges posed by fentanyl. Psychotherapeutic and behavioral interventions, such as cognitive behavioral therapy and contingency management, are highlighted as crucial complements to pharmacotherapy. The review underscores the need for increased precision, comprehensive phenotyping, and advanced diagnostics to develop personalized treatment plans, all with the aim of improving patient outcomes and mitigating the societal impact of the opioid crisis.

PMID:39879556 | DOI:10.1146/annurev-clinpsy-081423-023518

Ann Am Thorac Soc. 2025 Jan 29. doi: 10.1513/AnnalsATS.202407-688OC. Online ahead of print.

ABSTRACT

RATIONALE: Previous studies evaluating the effect of continuous positive airway pressure (CPAP) in patients with obstructive sleep apnea (OSA) on blood pressure (BP) showed variable results. Moreover, several studies recruited patients with normal or controlled BP, and compliance to antihypertensive drugs was not monitored. In addition, very few studies investigated central BP in this scenario.

OBJECTIVES: To evaluate whether OSA treatment is able to reduce central and peripheral BP in patients with uncontrolled hypertension (HTN) despite well documented use of anti-hypertensive treatment.

METHODS: The MORPHEOS is a multicenter, randomized controlled trial designed to evaluate the effects of CPAP or placebo (nasal dilator strips-NDS) for 6-months in patients with moderate-to-severe OSA and uncontrolled HTN on office BP, ambulatory BP monitoring (ABPM) and central BP (co-primary endpoints). Uncontrolled HTN was defined by ≥1 abnormal parameter in ABPM after 1-month of pill count and ≥80% adherence to medication. Pill count, adherence to CPAP or NDS and office BP was determined once a week in the first month and monthly thereafter.

RESULTS: A total of 123 patients completed the study (NDS: n=64, CPAP: n=59). The two groups were similar at baseline. Adherence to NDS (≥80%) and CPAP (≥4h/night) were 98.3% and 81.7%, respectively. As compared to NDS, office systolic BP (Δ=-10±16mmHg, p<0.001) and diastolic BP (Δ=-7±12mmHg, p=0.001) were reduced significantly in the CPAP group. Despite the BP lowering effect of CPAP did not reach statistical differences for ABPM parameters, the rate of 24-h ABPM control (<130X80mmHg) was higher in the CPAP than in the NDS group (40.7 vs 20%; p=0.024). Central diastolic BP reduced significantly (Δ=-6±9mmHg; adjusted p=0.029).

CONCLUSIONS: CPAP improves the rates of BP control in patients with OSA and uncontrolled HTN under regular use of medications. Clinical trial registration available at www.

CLINICALTRIALS: gov, ID: NCT02270658.

PMID:39879540 | DOI:10.1513/AnnalsATS.202407-688OC

Ann Am Thorac Soc. 2025 Jan 29. doi: 10.1513/AnnalsATS.202409-906OC. Online ahead of print.

ABSTRACT

RATIONALE: Tobacco smoking is a well-established risk factor for idiopathic pulmonary fibrosis (IPF), yet the influence of early-life tobacco exposure on future IPF risk remains poorly understood.

OBJECTIVES: To test the hypothesis that early-life tobacco exposure may elevate the risk of developing IPF, with this effect potentially modified by genetic susceptibility to IPF and mediated through accelerated biological aging.

METHODS: Using data from over 430,000 participants in the UK Biobank, we performed a prospective cohort study to examine the associations of maternal smoking around birth and age of smoking initiation with IPF risk. We evaluated the combined effects and interactions between early-life tobacco exposure and genetic susceptibility to IPF, quantified using polygenic risk scores. We assessed biological aging, as measured by telomere length and phenotypic age, as potential mediators in the associations between early-life tobacco exposure and IPF risk. Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs).

RESULTS: Maternal smoking around birth was associated with a higher risk of IPF (HR: 1.26; 95% CI: 1.11-1.43). Compared to never-smokers, individuals who initiated smoking in childhood (HR: 3.65; 95% CI: 3.02-4.41), adolescence (HR: 2.64; 95% CI: 2.28-3.05), and adulthood (HR: 2.09; 95% CI: 1.79-2.44) exhibited increased IPF risk (P for trend < 0.001). An additive interaction was observed between age of smoking initiation and genetic risk for IPF. Individuals with high genetic risk, maternal smoking exposure, and childhood smoking initiation had a 16-fold greater risk of IPF (HR: 16.47; 95% CI: 9.57-28.32), compared to those with low genetic risk and no tobacco exposure. Telomere length and phenotypic age each mediated approximately 10% of the effect of maternal smoking on IPF, with weaker mediation effects observed for later ages of smoking initiation.

CONCLUSION: Early-life tobacco exposure may elevate the risk of IPF, with effect modified by genetic susceptibility and partially mediated through accelerated biological aging.

PMID:39879538 | DOI:10.1513/AnnalsATS.202409-906OC

Cancer Biother Radiopharm. 2025 Jan 29. doi: 10.1089/cbr.2024.0194. Online ahead of print.

ABSTRACT

Purpose: To evaluate the use of yttrium-90 (Y90) dosimetry in predicting treatment outcomes when used following transarterial radioembolization with SIR-Spheres® (Resin Y90) in patients with hepatic tumors. Materials and Methods: This single institution retrospective analysis included 100 patients with hepatocellular carcinoma, colorectal carcinoma or other liver metastases who underwent transarterial radioembolization with resin Y90 and had imaging follow-up within one year of treatment. Mean tumor dose and mean dose to nontumor was calculated using voxel-based dosimetry software. Descriptive statistics were reported and methods of analyses included simple and multivariable linear regression, contingency table analyses, Kaplan-Meier estimation, and Cox proportional hazards models. Results: Of 100 patients included, 65 demonstrated tumor shrinkage following transarterial radioembolization. Of these, 20 (30.8%) had hepatocellular carcinoma, 22 (33.8%) had colorectal carcinoma, and 23 (35.4%) had other types of metastases. There was an association between tumor shrinkage and mean tumor dose (p = 0.0285) and mean dose to nontumor (p = 0.0028) in hepatocellular carcinoma patients, but not colorectal carcinoma, or the other subgroup. For all 100 patients, time to death and mean tumor dose was associated only in the other subgroup (p = 0.0260), but not in the hepatocellular or colorectal carcinoma groups. Time to death and mean dose to nontumor was associated in hepatocellular carcinoma patients (p = 0.0421), but not the colorectal carcinoma or other subgroup. Conclusions: Voxel-based dosimetry assessment is a tool that may be utilized to assist in predicting treatment outcomes in responders to transarterial radioembolization.

PMID:39879533 | DOI:10.1089/cbr.2024.0194

J Am Coll Health. 2025 Jan 29:1-10. doi: 10.1080/07448481.2024.2446441. Online ahead of print.

ABSTRACT

Objective: This research effort developed, implemented, and evaluated an inexpensive poster campaign designed to influence on-campus mental health culture and stigma. Participants: 124 students at a Californian graduate-only university participated in the evaluation. Methods: A single-group, pretest-posttest, quasi-experimental design tested the effect of exposing graduate students to posters carrying attribution-based messages. The campaign lasted for seven weeks in 2023. Results: Although not all outcomes were influenced, statistically significant increases in perceptions of mental health culture and willingness to disclose mental health struggles to peers and faculty were detected with medium effect sizes. There were also statistically significant increases in visits to an intervention website advertised exclusively on campaign materials. No backfiring effects were detected, an issue that campaigns must be vigilant about. Conclusion: Given the low cost of implementation, this mental health campaign represents an inexpensive, low-effort approach that can favorably influence graduate student perceptions of campus mental health culture and willingness to disclose.

PMID:39879525 | DOI:10.1080/07448481.2024.2446441

Arq Bras Cardiol. 2025 Jan 27;122(1):e20240213. doi: 10.36660/abc.20240213. eCollection 2025.

ABSTRACT

BACKGROUND: There is still a significant population of patients with embolic stroke of Undetermined Source (ESUS) whose specific attributable cause of the stroke remains unknown.

OBJECTIVES: Our research aimed to assess clinical, electrocardiogram, laboratory, and echocardiographic parameters that may predict the propensity of paroxysmal atrial fibrillation (PAF).

METHODS: We enrolled seventy-five ESUS patients who were in sinus rhythm at the time of stroke diagnosis to undergo in-hospital 7-day Holter monitoring, testing for Pro-BNP, and a standard echocardiographic examination. For statistical analysis, a P-value < 0.05 was considered significant.

RESULTS: The average age of the 75 ESUS patients was 58 years old. 60% of the patients were male, and the most prevalent concomitant condition was hypertension (53.3%). Forty patients had atrial cardiopathy, and 15 patients had PAF episodes. Hypertension and the E/e- > 12 were independent predictors of atrial cardiopathy, with p-values of 0.001 and 0.02, respectively. In patients with atrial cardiopathy, multivariable regression analysis was performed; PTFV > 5000 Mv.ms, LA volume index > 34 ml/m2, and ejection fraction < 45% were significant independent predictors of AF with significant p values of 0.001, < 0.001, and 0.001 respectively.

CONCLUSIONS: In ESUS patients, atrial cardiopathy was prevalent. Hypertension and an E/e- ratio greater than 12 were independent predictors for it. Multivariable regression analysis identified PTFV1 > 5000 mV.ms, LA volume index > 34 ml/m2, and ejection fraction < 45% as independent predictors for new-onset atrial fibrillation.

PMID:39879513 | DOI:10.36660/abc.20240213