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Nevin Manimala Statistics

Effect of patient education in improving quality of life, fatigue and anxiety in people diagnosed with lung cancer: systematic review

Support Care Cancer. 2026 Feb 3;34(2):159. doi: 10.1007/s00520-026-10331-8.

ABSTRACT

PURPOSE: To assess the effect of patient education on quality of life, fatigue, and anxiety in patients diagnosed with lung cancer.

METHODS: An electronic search was conducted across four databases (PubMed, Web of Science, CINAHL, and Scopus) using a combination of terms including lung neoplasms, health education, educat (truncated), quality of life, fatigue, and anxiety. The Cochrane RoB 2 tool and the TIDieR checklist were used to assess risk of bias and intervention replicability, respectively. The GRADE approach was applied to evaluate the certainty of the evidence. Study selection, data extraction, and all assessments were carried out independently by two reviewers. Where appropriate, data were pooled using meta-analysis (95% confidence interval [CI]).

RESULTS: Seventeen studies were included in the qualitative synthesis, and thirteen in the quantitative analysis, comprising a total sample of 1799 participants. The meta-analysis demonstrated that, compared with controls, patient education interventions had a statistically significant and large effect on improving quality of life (SMD = 0.98; 95% CI [0.26, 1.69], p = 0.007, I2 = 96%), anxiety (SMD = -1.75; 95% CI [-2.74, -0.77], p = 0.0005, I2 = 98%) and fatigue (SMD = -0.091; 95% CI [-1.61, -0.22], p = 0.01, I2 = 88%). In all cases, heterogeneity remained high. However, the educational content of the interventions was generally consistent, with most being delivered in a face-to-face format.

CONCLUSIONS: Patient education appears to be an effective approach for improving quality of life, fatigue, and anxiety in individuals with lung cancer. Nevertheless, these findings should be interpreted with caution, as the certainty of the evidence was rated as very low.

PMID:41632307 | DOI:10.1007/s00520-026-10331-8

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Nevin Manimala Statistics

Effectiveness of ICI-ICI versus ICI-TKI combinations in patients with IMDC intermediate- and poor-risk metastatic renal cell carcinoma: a sub-analysis of the MEET-URO 33 study

Cancer Immunol Immunother. 2026 Feb 3;75(3):66. doi: 10.1007/s00262-026-04318-x.

ABSTRACT

BACKGROUND: Immune checkpoint inhibitor doublet (ICI-ICI) and ICI plus tyrosine kinase inhibitor (ICI-TKI) regimens are the cornerstone of treatment for metastatic renal cell carcinoma (mRCC), although no head-to-head comparisons are currently available. This study aimed to compare the real-world effectiveness of ICI-ICI versus ICI-TKI combinations in patients with intermediate- and poor-risk mRCC according to International Metastatic RCC Database Consortium (IMDC).

METHODS: The Meet-URO 33 study is a multicentre retrospective-prospective registry collecting real-world data on patients with mRCC. Multivariable logistic and Cox models were built for objective response rate (ORR), PFS and OS, with a propensity score (PS) adjustment for baseline imbalances.

RESULTS: Among 1497 patients, 755 were intermediate-risk (199 ICI-ICI, 556 ICI-TKI) and 312 poor-risk (77 ICI-ICI, 212 ICI-TKI). Median follow-up was 14.2 months (8.0 months and 14.5 months in poor- and intermediate-risk subgroups, respectively). In poor-risk patients, median OS was 20.3 versus 12.9 months (HR 0.87, 95% CI 0.59-1.28, p = 0.49), and median PFS was 6.7 versus 8.7 months (HR 1.10, 95% CI 0.79-1.54, p = 0.53), for ICI-ICI versus ICI-TKI, respectively. In the intermediate-risk patients treated with ICI-ICI versus ICI-TKI, median OS was 37.8 versus 35.5 months (HR 1.08; 95% CI 0.77-1.50; p = 0.65), and median PFS was 17.8 versus 18.6 months (HR 1.29, 95% CI 1.00-1.66, p = 0.050). ORR was 42.9% versus 45.8% in poor-risk patients (OR 0.72, 95% CI 0.39-1.34, p = 0.303) and 48.1% versus 54.3% in intermediate-risk patients (OR 0.71, 95% CI 0.48-1.04, p = 0.075).

CONCLUSIONS: No statistically significant differences in survival or response were observed between ICI-ICI and ICI-TKI combinations in patients with IMDC intermediate- and poor-risk mRCC.

PMID:41632305 | DOI:10.1007/s00262-026-04318-x

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Nevin Manimala Statistics

Periodontal and restorative outcomes of cervical marginal relocation: a systematic review and meta-analysis

Quintessence Int. 2026 Feb 3;0(0):0. doi: 10.3290/j.qi.b6881272. Online ahead of print.

ABSTRACT

BACKGROUND: Cervical margin relocation (CMR) is a non-invasive technique using composite resin to elevate the interproximal floor beneath indirect restoration, improving margin integrity and tooth vitality.

OBJECTIVES: This study evaluated periodontal outcomes of CMR, like pocket depth (PD) and bleeding on probing (BOP), as well as restorative outcomes.

METHODS: A systematic review was conducted following PRISMA guidelines. Databases searched included PubMed, Scopus, Google Scholar, and Web of Science with keywords like ‘Cervical Margin Relocation,” “Deep Margin Elevation,” and ” Proximal Box Elevation,”. Meta-analyses assessed PD and BOP, analyzing heterogeneity with I² statistic.

RESULTS: After sensitivity analysis, CMR does not appear to worsen periodontal PD or BOP in periodontally healthy or stabilized patients when proper isolation and restorative protocols are followed. The standardized mean difference for PD is -0.60 (95% CI [-0.94, -0.27], p = 0.001), with heterogeneity reduced to I² = 0%; and BOP also showed (OR: 0.06, 95% CI [0.01, 0.44]), with I² = 0%. These findings reflect the periodontal tolerance to properly executed CMR. Material selection affected marginal adaptation, with glass-ceramic bonding yielding the best outcomes. Composite margin elevation was effective for deep cavities, surpassing ceramic onlays, and subgingival resin composites enhance periodontal health.

CONCLUSION: CMR is effective for managing subgingival margins and compatible with periodontal health when appropriate materials are used. Material selection impacts marginal adaptation, and long-term follow-up is essential for measuring durability, offering valuable insights for clinical practice.

PMID:41631460 | DOI:10.3290/j.qi.b6881272

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Nevin Manimala Statistics

Long-term memory effects of an incremental blood pressure intervention in a mortal cohort

Biometrics. 2026 Jan 6;82(1):ujaf176. doi: 10.1093/biomtc/ujaf176.

ABSTRACT

In the present study, we examine long-term population-level effects on episodic memory of an intervention over 15 years that reduces systolic blood pressure in individuals with hypertension. A limitation with previous research on the potential risk reduction of such interventions is that they do not properly account for the reduction of mortality rates. Hence, one can only speculate whether the effect is due to changes in memory or changes in mortality. Therefore, we extend previous research by providing both an etiological and a prognostic effect estimate. To do this, we propose a Bayesian semi-parametric estimation approach for an incremental threshold intervention, using the extended G-formula. Additionally, we introduce a novel sparsity-inducing Dirichlet prior for longitudinal data, that exploits the longitudinal structure of the data. We demonstrate the usefulness of our approach in simulations, and compare its performance to other Bayesian decision tree ensemble approaches. In our analysis of the data from the Betula cohort, we found no significant prognostic or etiological effects across all ages. This suggests that systolic blood pressure interventions likely do not strongly affect memory, either at the overall population level or among individuals who would remain alive under both the natural course and the intervention (the always survivor stratum).

PMID:41631433 | DOI:10.1093/biomtc/ujaf176

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Nevin Manimala Statistics

Quasi-likelihood estimation for semiparametric circular regression models

Biometrics. 2026 Jan 6;82(1):ujag002. doi: 10.1093/biomtc/ujag002.

ABSTRACT

Motivated by the need for flexible and interpretable models to handle circular data, this paper introduces a semiparametric regression model for a circular response that can include both linear and circular covariates in its parametric and nonparametric components. Rather than imposing a particular parametric distribution on the error term, we adopt a circular quasi-likelihood function, which is useful when the underlying distribution is unknown. We discuss the asymptotic properties of the resulting estimators and a backfitting algorithm for model fitting. We evaluate the finite-sample performance of our proposal through simulations and illustrate its advantages for assessing the genetic effect on the migratory patterns of willow warblers. This offers new insights into how specific genomic elements can influence migratory behaviour.

PMID:41631432 | DOI:10.1093/biomtc/ujag002

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Nevin Manimala Statistics

Bayesian inference for Cox regression models using catalytic prior distributions

Biometrics. 2026 Jan 6;82(1):ujag004. doi: 10.1093/biomtc/ujag004.

ABSTRACT

The Cox proportional hazards model (Cox model) is a popular model for survival data analysis. When the sample size is small relative to the dimension of the model, the standard maximum partial likelihood inference is often problematic. In this work, we propose the Cox catalytic prior distribution for Bayesian inference on Cox models, which extends a general class of prior distributions originally designed to stabilize complex parametric models. The Cox catalytic prior is formulated as a weighted likelihood of the regression coefficients derived from synthetic data and a surrogate baseline hazard constant. This surrogate hazard can be either provided by the user or estimated from the data, and the synthetic data are generated from the predictive distribution of a fitted simpler model. For point estimation, we derive an approximation of the marginal posterior mode, which can be computed conveniently as a regularized log partial likelihood estimator. We prove that our prior distribution is proper and the resulting estimator is consistent under mild conditions. In simulation studies, our proposed method outperforms standard maximum partial likelihood inference and is on par with existing shrinkage methods. We further illustrate the application of our method to a real dataset.

PMID:41631431 | DOI:10.1093/biomtc/ujag004

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Nevin Manimala Statistics

Extended Prone Positioning in ARDS: A Systematic Review and Meta-Analysis

Respir Care. 2026 Feb 3:19433654251405270. doi: 10.1177/19433654251405270. Online ahead of print.

ABSTRACT

BACKGROUND: Prone positioning is a recommended therapy for patients with moderate-to-severe ARDS; however, the optimal duration of this maneuver is still unknown.

METHODS: We performed a systematic review and meta-analysis comparing clinical outcomes of extended (≥24 h) versus traditional prone positioning (16-24 h) of adults with moderate-to-severe ARDS receiving invasive mechanical ventilation.

RESULTS: Ten studies involving 2,412 subjects met the inclusion criteria, including one randomized controlled trial and 9 observational studies, all with COVID-19-related ARDS. Extended prone positioning was associated with reduced mortality compared with the traditional approach (risk ratio [RR]: 0.76, 95% CI 0.66-0.86, I2 = 12.8%). Sensitivity and subgroup analyses confirmed consistency across risk of bias, baseline PaO2/FiO2, and PEEP levels. No differences were found in duration of mechanical ventilation (mean difference [MD]: 2.43 days, 95% CI -1.06 to 5.92, I2 = 70%) or ICU stay (MD: 1.31 days, 95% CI -1.07 to 3.68, I2 = 55%). The extended strategy was associated with a higher incidence of pressure injuries (RR: 1.30, 95% CI 1.02-1.65, I2 = 56%) but no differences in device displacement or hemodynamic instability. Certainty of evidence was rated as low to very low.

CONCLUSIONS: Extended prone positioning was associated with reduced mortality in ARDS but increased risk of pressure injuries, without impact on ventilator duration or ICU stay. While this strategy appears feasible and potentially beneficial, further randomized trials are warranted to confirm its role in routine practice.

TRIAL REGISTRATION: PROSPERO no. CRD42024529311.

PMID:41631378 | DOI:10.1177/19433654251405270

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Nevin Manimala Statistics

Reply to “A critical appraisal of evidence from the VICTOR trial and the VICTOR/VICTORIA pooled analysis: a statistical perspective”

G Ital Cardiol (Rome). 2026 Feb;27(2):154-155. doi: 10.1714/4636.46473.

NO ABSTRACT

PMID:41631336 | DOI:10.1714/4636.46473

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Nevin Manimala Statistics

A critical appraisal of evidence from the VICTOR trial and the VICTOR/VICTORIA pooled analysis: a statistical perspective

G Ital Cardiol (Rome). 2026 Feb;27(2):154. doi: 10.1714/4636.46472.

NO ABSTRACT

PMID:41631335 | DOI:10.1714/4636.46472

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Nevin Manimala Statistics

Risk factors for revictimization during treatment in patients with co-occurring SUD and PTSD

Eur J Psychotraumatol. 2026 Dec;17(1):2617838. doi: 10.1080/20008066.2026.2617838. Epub 2026 Feb 3.

ABSTRACT

Introduction: A host of cross-sectional studies have identified problematic substance use and post-traumatic stress symptoms as risk factors for repeated interpersonal violence (revictimization) in college samples. However, it remains unclear which factors are associated with revictimization for patients who meet diagnostic criteria for both substance use disorder (SUD) and post-traumatic stress disorder (PTSD). The identification of factors associated with revictimization is an important step towards preventing violence against people with psychiatric disorders and can inform treatment.Method: Data were based on the Treatment of PTSD and Addiction (TOPA) study, a randomized controlled trial including N = 209 patients that received inpatient and outpatient treatment for SUD and PTSD. We selected participants who had experienced interpersonal victimization at baseline (N = 203) and assessed revictimization across the 9-month follow-up period. Revictimization included: physical violence, violence with a gun, sexual violence, and ‘other unwanted sexual experience’. The risk factors we investigated were severity of PTSD, severity of alcohol and drug use disorder, interpersonal difficulties, sex, and age. We analysed the data using logistic regression analyses with multiple imputation for missing data.Results: Physical violence was the most common type of revictimization during the study period (26.0%), closely followed by ‘other unwanted sexual experience’ (20.0%). The severity of PTSD and age were univariate predictors for revictimization; however, only age was robustly related to revictimization while accounting for other study variables. We conducted sensitivity analyses with complete cases and observed data.Discussion: Approximately two in five individuals experienced revictimization across the 9-month follow-up period, underscoring it as a clinically relevant issue. Since age emerged as the only risk factor for revictimization in our sample, future research should focus on identifying modifiable factors associated with age, e.g. impulsivity and novelty seeking. These factors may be addressed in interventions aimed at reducing the risk of revictimization.

PMID:41631319 | DOI:10.1080/20008066.2026.2617838