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Nevin Manimala Statistics

Integrated Clinical-Molecular Classification of Colorectal Liver Metastases: A Biomarker Analysis of the Phase 3 New EPOC Randomized Clinical Trial

JAMA Oncol. 2023 Jul 20. doi: 10.1001/jamaoncol.2023.2535. Online ahead of print.

ABSTRACT

IMPORTANCE: Personalized treatment approaches for patients with oligometastatic colorectal liver metastases are critically needed. We previously defined 3 biologically distinct molecular subtypes of colorectal liver metastases: (1) canonical, (2) immune, and (3) stromal.

OBJECTIVE: To independently validate these molecular subtypes in the phase 3 New EPOC randomized clinical trial.

DESIGN, SETTING, AND PARTICIPANTS: This retrospective secondary analysis of the phase 3 New EPOC randomized clinical trial included a bi-institutional discovery cohort and multi-institutional validation cohort. The discovery cohort comprised patients who underwent hepatic resection for limited colorectal liver metastases (98% received perioperative chemotherapy) from May 31, 1994, to August 14, 2012. The validation cohort comprised patients who underwent hepatic resection for liver metastases with perioperative chemotherapy (fluorouracil, oxaliplatin, and irinotecan based) with or without cetuximab from February 26, 2007, to November 1, 2012. Data were analyzed from January 18 to December 10, 2021.

INTERVENTIONS: Resected metastases underwent RNA sequencing and microRNA (miRNA) profiling in the discovery cohort and messenger RNA and miRNA profiling with microarray in the validation cohort.

MAIN OUTCOMES AND MEASURES: A 31-feature (24 messenger RNAs and 7 miRNAs) neural network classifier was trained to predict molecular subtypes in the discovery cohort and applied to the validation cohort. Integrated clinical-molecular risk groups were designated based on molecular subtypes and the clinical risk score. The unique biological phenotype of each molecular subtype was validated using gene set enrichment analyses and immune deconvolution. The primary clinical end points were progression-free survival (PFS) and overall survival (OS).

RESULTS: A total of 240 patients were included (mean [range] age, 63.0 [56.3-68.0] years; 151 [63%] male), with 93 in the discovery cohort and 147 in the validation cohort. In the validation cohort, 73 (50%), 28 (19%), and 46 (31%) patients were classified as having canonical, immune, and stromal metastases, respectively. The biological phenotype of each subtype was concordant with the discovery cohort. The immune subtype (best prognosis) demonstrated 5-year PFS of 43% (95% CI, 25%-60%; hazard ratio [HR], 0.37; 95% CI, 0.20-0.68) and OS of 63% (95% CI, 40%-79%; HR, 0.38; 95% CI, 0.17-0.86), which was statistically significantly higher than the canonical subtype (worst prognosis) at 14% (95% CI, 7%-23%) and 43% (95% CI, 32%-55%), respectively. Adding molecular subtypes to the clinical risk score improved prediction (the Gönen and Heller K for discrimination) from 0.55 (95% CI, 0.49-0.61) to 0.62 (95% CI, 0.57-0.67) for PFS and 0.59 (95% CI, 0.52-0.66) to 0.63 (95% CI, 0.56-0.70) for OS. The low-risk integrated group demonstrated 5-year PFS of 44% (95% CI, 20%-66%; HR, 0.38; 95% CI, 0.19-0.76) and OS of 78% (95% CI, 44%-93%; HR, 0.26; 95% CI, 0.08-0.84), superior to the high-risk group at 16% (95% CI, 10%-24%) and 43% (95% CI, 32%-52%), respectively.

CONCLUSIONS AND RELEVANCE: In this prognostic study, biologically derived colorectal liver metastasis molecular subtypes and integrated clinical-molecular risk groups were highly prognostic. This novel molecular classification warrants further study as a possible predictive biomarker for personalized systemic treatment for colorectal liver metastases.

TRIAL REGISTRATION: isrctn.org Identifier: ISRCTN22944367.

PMID:37471075 | DOI:10.1001/jamaoncol.2023.2535

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Nevin Manimala Statistics

Enhancing predictive power by unamalgamating multi-item scales

Psychol Methods. 2023 Jul 20. doi: 10.1037/met0000599. Online ahead of print.

ABSTRACT

The generally small but touted as “statistically significant” correlation coefficients in the social sciences jeopardize theory testing and prediction. To investigate these small coefficients’ underlying causes, traditional equations such as Spearman’s (1904) classic attenuation formula, Cronbach’s (1951) alpha, and Guilford and Fruchter’s (1973) equation for the effect of additional items on a scale’s predictive power are considered. These equations’ implications differ regarding large interitem correlations enhancing or diminishing predictive power. Contrary to conventional practice, such correlations decrease predictive power when treating items as multi-item scale components but can increase predictive power when treating items separately. The implications are wide-ranging. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

PMID:37471016 | DOI:10.1037/met0000599

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Nevin Manimala Statistics

Demystifying omega squared: Practical guidance for effect size in common analysis of variance designs

Psychol Methods. 2023 Jul 20. doi: 10.1037/met0000581. Online ahead of print.

ABSTRACT

Omega squared (ω^2) is a measure of effect size for analysis of variance (ANOVA) designs. It is less biased than eta squared, but reported less often. This is in part due to lack of clear guidance on how to calculate it. In this paper, we discuss the logic behind effect size measures, the problem with eta squared, the history of omega squared, and why it has been underused. We then provide a user-friendly guide to omega squared and partial omega squared for ANOVA designs with fixed factors, including one-way, two-way, and three-way designs, using within-subjects factors and/or between-subjects factors. We show how to calculate omega squared using output from SPSS. We provide information on the calculation of confidence intervals. We examine the problems of nonadditivity, and intrinsic versus extrinsic factors. We argue that statistical package developers could play an important role in making the calculation of omega squared easier. Finally, we recommend that researchers report the formulas used in calculating effect sizes, include confidence intervals if possible, and include ANOVA tables in the online supplemental materials of their work. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

PMID:37471015 | DOI:10.1037/met0000581

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Nevin Manimala Statistics

Completeness out of incompleteness: Inferences from regularities in imperfect information ensembles

J Exp Psychol Hum Percept Perform. 2023 Jul 20. doi: 10.1037/xhp0001147. Online ahead of print.

ABSTRACT

Handling imperfect information problems is fundamental to perception, learning, and decision-making. Ensemble perception may partially overcome imperfect information by providing global clues. However, if not all cluster elements are readily accessible, the observations required for computing statistics are incomplete. In this case, these elements’ internal correlations (i.e., regularity) could serve as clues to elucidate the missing pieces. We thus investigated spatial regularity’s role in ensemble perception under imperfect information situations created using partially occluded stimuli. In two experiments, we manipulated circle size (Experiment 1) and line orientation (Experiment 2) to linearly vary with its location; spatial regularity thus supplied clues for inferring information of the invisible parts. Participants estimated the mean of the targeted feature of the entire cluster, including visible and invisible parts. We observed robust biases toward the overall cluster in the estimations, implying the invisible parts were considered during ensemble perception. We proposed this effect could be understood as assessing evidence from visible parts to construct the missing parts. Experiment 3 employed a periodicity regularity to deter participants from using specific strategies, and consistent results were found. We then developed a generative model, the Regularity-Based Model, to simulate the inference process, which better captured the pattern of human outcomes than the comparative model. These findings indicate the visual system could use high-level structural information to infer scenes with incomplete information, thus producing more accurate ensemble representations. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

PMID:37471003 | DOI:10.1037/xhp0001147

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Nevin Manimala Statistics

Measurement invariance of the Personality Inventory for the DSM-5 (PID-5) for Nigerian and White American university students

Psychol Assess. 2023 Aug;35(8):715-720. doi: 10.1037/pas0001251.

ABSTRACT

In a previous study, it was reported that the typically replicable factor structure of the Personality Inventory for Diagnostic and Statistical Manual of Mental Disorders, fifth edition (PID-5) was noninvariant across samples of Black American and White American university students. The investigators of that study attributed this noninvariance across these two racial groups to Black American racialization, defined as Black individuals living in a predominantly non-Black society. In the current investigation, we examined further the effects of Black racialization by examining PID-5 factor structure invariance using a sample of nonracialized Black (Nigerian) university students (i.e., Black people living in a primarily Black society) and a sample of White American students. The factor structure of the PID-5 across the samples indicated overall configural invariance, suggesting that the same PID-5 facet traits, for the most part, load on the same factors for the nonracialized Black people and White Americans. This result is consistent with the view that Black racialization likely contributes to PID-5 factor structure noninvariance across White and Black Americans. There were some differences, however, between the Nigerian and White American students with respect to metric invariance and scalar invariance, suggesting the facet-to-factor loadings have different magnitudes of association across groups and that domain scale score elevations in Nigerian and White American students are not comparable; this was particularly prominent for the disinhibition domain. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

PMID:37470995 | DOI:10.1037/pas0001251

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Nevin Manimala Statistics

The measure of empathy in early childhood: Testing the reliability, validity, and clinical utility of scores in early childhood

Psychol Assess. 2023 Jul 20. doi: 10.1037/pas0001257. Online ahead of print.

ABSTRACT

Empathy is a critical socioemotional skill that motivates prosocial behavior and supports the ability to respond to the emotions of others. Although accurate measurement of empathy in young children is critical for identifying and remediating empathy deficits, currently available parent-report measures of childhood empathy have several psychometric limitations. The present study tested the reliability, validity, and clinical utility of scores on the Measure of Empathy in Early Childhood (MEEC), a new multidimensional, parent-report empathy scale, in 4- to 7-year-old children. The psychometric properties of MEEC scores were assessed by examining their associations with criterion, construct, discriminant, and clinical validity measures. A sample of 129 parents of community and clinic-referred children (Mage = 5.62 years, SD = 1.01, 65.9% boys) completed the MEEC and other relevant parent-report questionnaires. Internal consistencies (α = .79-.93) of MEEC scores were good. Correlations between MEEC scores and parent-report measures, sex, and age robustly supported their validity in 4- to 7-year-old children. Logistic regression analyses demonstrated that MEEC scores significantly predicted membership into clinical subgroups characterized by empathy deficits. Linear regression analyses indicated that prosocial behavior and sympathy MEEC subscales, but not affective empathy, statistically predicted parent-reported callous-unemotional traits. Theoretical and clinical implications of these findings for developmental models of empathy and empathy-related disorders are discussed. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

PMID:37470989 | DOI:10.1037/pas0001257

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Nevin Manimala Statistics

The Association Between Ocular Residual Astigmatism and the Efficacy of Astigmatism Correction Via Small Incision Lenticule Extraction (SMILE)

Ophthalmol Ther. 2023 Jul 20. doi: 10.1007/s40123-023-00766-1. Online ahead of print.

ABSTRACT

INTRODUCTION: Astigmatism correction after small-incision lenticule extraction (SMILE) surgery is affected by several factors, including ocular residual astigmatism (ORA), which accounts for the vector difference between refractive and corneal astigmatism. Previous studies revealed the relationship between ORA and astigmatism correction after laser-assisted in situ keratomileusis (LASIK). However, in SMILE surgery, no comprehensive study exploring the link between these two variables has been performed. We have therefore assessed the association between ORA and astigmatism correction after SMILE.

METHODS: This was a retrospective, single-centered study. Patients with myopia or myopic astigmatism who underwent SMILE surgery using the 500-kHz Visumax laser platform and were followed up for at least 3 months were included. Patients’ demographic and clinical characteristics, such as visual acuity, refractive status and corneal tomography, were recorded. ORA was calculated using Alpins Statistical System for Ophthalmic Refractive Surgery Techniques (ASSORT) Ocular Residual Astigmatism calculator.

RESULTS: A total of 888 eyes (408 eyes from males and 480 eyes from females) from 444 patients (mean age [standard deviation] 32.4 ± 7.1 years) were included in our study. Mean (± SD) preoperative sphere and cylinder were – 5.45 ± 1.98 (range – 10.00-0.00) diopter (D) and – 0.89 ± 0.70 (range – 4.00-0.00) D, respectively. Calculated mean ORA was 0.68 ± 0.35 (range 0.07-3.53) D. Postoperative logMAR uncorrected visual acuity was 0.03 ± 0.31. Mean postoperative sphere and cylinder were – 0.10 ± 0.56 (range – 1.5 to 1.0) D and – 0.51 ± 0.37 (- 1.5 to 0.0) D, respectively. The Pearson correlation test revealed preoperative sphere, steep keratometry (steep-K) and ORA were statistically correlated with the amplitude of astigmatism correction (P < 0.001), and the generalized estimating equations analysis showed that ORA was negatively correlated with the amplitude of astigmatism correction (P < 0.001).

CONCLUSION: The results of our study suggest that preoperative higher ORA may be associated with a lower magnitude of astigmatism correction after SMILE surgery in patients with all levels of astigmatism preoperative.

TRIAL REGISTRATION: ClinicalTrials.gov: NCT05604872. Registered 3 November 2022-Retrospectively registered. https://clinicaltrials.gov/ct2/show/NCT05604872.

PMID:37470969 | DOI:10.1007/s40123-023-00766-1

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Nevin Manimala Statistics

Safety and Efficacy of One Anastomosis Gastric Bypass in Children and Adolescents: a 5-Year Cohort Study

Obes Surg. 2023 Jul 20. doi: 10.1007/s11695-023-06749-2. Online ahead of print.

ABSTRACT

BACKGROUND: Childhood obesity is an important worldwide issue of serious medical and social concern. One anastomosis gastric bypass (OAGB) is an approved, effective, and long-lasting procedure for weight loss and the remission of obesity-associated medical problems in the adult patients, but its efficacy and safety in children and adolescents are still on debate. This study aimed to evaluate safety and efficacy of OAGB compare to SG and RYGB during a 5-year follow-up.

METHODS: A retrospective cohort study on children and adolescents with severe obesity who underwent primary OAGB, sleeve gastrectomy (SG), and Roux-e-Y gastric bypass (RYGB) at an academic hospital, between March 2016 and December 2020.

RESULTS: Two hundred twenty-eight patients with 24 to 60 months of follow-up including 107 SG, 37 RYGB, and 84 OAGB were included in the final analysis. The mean age, preoperative weight, and BMI were 15.71 ± 2.09 years (range, 9-18 years), 126.3 ± 22.0 kg (74.5-215 kg), and 45.1 ± 6.9 kg/ m2 (36.4-79.3 kg/m2), respectively. The mean of follow-up was 30.05 ± 19.98 months. The mean of ∆BMI was 30.2 ± 5.1, 30.0 ± 5.4, and 31.1 ± 6.8 at 12th, 36th, and 60th months postoperative. At the 60-month follow-up, there were statistically significant differences in ΔBMI between SG and OAGB and SG and RYGB.

CONCLUSION: OAGB is a safe and effective procedure for the treatment of obesity in children and adolescents in 24 to 60 months follow-ups.

PMID:37470954 | DOI:10.1007/s11695-023-06749-2

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Nevin Manimala Statistics

How to fit transfer models to learning data: a segmentation/clustering approach

Behav Res Methods. 2023 Jul 17. doi: 10.3758/s13428-023-02166-6. Online ahead of print.

ABSTRACT

Although transfer models are limited in their ability to evolve over time and account for a wide range of processes, they have repeatedly shown to be useful for testing categorization theories and predicting participants’ generalization performance. In this study, we propose a statistical framework that allows transfer models to be applied to category learning data. Our framework uses a segmentation/clustering technique specifically tailored to suit category learning data. We applied this technique to a well-known transfer model, the Generalized Context Model, in three novel experiments that manipulated ordinal effects in category learning. The difference in performance across the three contexts, as well as the benefit of the rule-based order observed in two out of three experiments, were mostly detected by the segmentation/clustering method. Furthermore, the analysis of the segmentation/clustering outputs using the backward learning curve revealed that participants’ performance suddenly improved, suggesting the detection of an “eureka” moment. Our adjusted segmentation/clustering framework allows transfer models to fit learning data while capturing relevant patterns.

PMID:37470953 | DOI:10.3758/s13428-023-02166-6

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Nevin Manimala Statistics

Antiphagocytic Properties of Polygallic Acid with Implications in Gouty Inflammation

Inflammation. 2023 Jul 20. doi: 10.1007/s10753-023-01852-z. Online ahead of print.

ABSTRACT

Polygallic acid (PGAL) has been used in vitro to protect synoviocytes from monosodium urate (MSU) crystals due to its anti-inflammatory properties. However, MSU crystals can also activate other cells of the synovial fluid (SF). We studied the impact of PGAL on the phagocytosis of MSU crystals, inflammation, and oxidative stress using an in vitro model with SF leukocytes and THP-1 monocyte cells. SF leukocytes were stimulated with PGAL and MSU crystals, proinflammatory cytokines and phagocytosis were assessed. In THP-1 cells, the effect of PGAL on the phagocytosis of MSU crystals and the levels of IL-1β, IL-6, TNF-α, and reactive oxygen species (ROS) was evaluated. PGAL was added to THP-1 cultures 24 h before MSU crystal addition as a pre-treatment, and IL-1β was measured. One-way ANOVA with Tukey’s post hoc test was performed, and a P value < 0.05 was considered statistically significant. PGAL (100 µg/mL) decreased phagocytosis in SF leukocytes by 14% compared to cells exposed to crystals without PGAL. In THP-1 cells, 100 and 200 µg/mL PGAL reduced phagocytosis by 17% and 15%, respectively. In SF cells, there was a tendency to decrease IL-1β and IL-6. In THP-1 cells, decreases in IL-1β and TNF-α, as well as a slight decrease in ROS, were identified. PGAL pre-treatment resulted in a reduction of IL-1β. PGAL inhibits MSU phagocytosis by exerting an anti-inflammatory effect on cells exposed to crystals. The use of PGAL before an acute attack of gout suggests an important protective factor to control the inflammation.

PMID:37470914 | DOI:10.1007/s10753-023-01852-z