A-152 Behavioral Correletes of a Short Form Test of Executive Functioning

2021 ◽  
Vol 36 (6) ◽  
pp. 1206-1206
Author(s):  
Arthur M Horton ◽  
Cecil R Reynolds
Keyword(s):  
Executive Functioning ◽  
Sample Size ◽  
Private Practice ◽  
Short Form ◽  
Statistical Significance ◽  
Neuropsychological Testing ◽  
Behavioral Functioning ◽  
Card Sorting ◽  
Behavioral Correlates ◽  
Larger Sample

Abstract Objective This poster explores behavioral correlates of a recently developed Short-Form Test of Executive Functioning. Method Subjects were 23 adults referred by neurologists and psychiatrist for neuropsychological testing to a private practice. All subjects signed informed consent documents. Subjects included 12 males and 11 females, 20 subjects were Caucasians and 3 were African-Americans, 22 were right handed. Diagnoses included Stroke-12, Traumatic Brain Injury-6, Alzheimer’s disease-2, Multiple Sclerosis-1, Parkinson’s disease-1 and Epilepsy-1. All subjects were administered neuropsychological testing including the Short-Form Test of Executive Functioning (SF-TEF) and the AD8 was independently completed by a family member or in one case a family friend. The Sf-TEF is composed of 3 card sorting subtests of the Test of Verbal and Conceptual Fluency (TVCF) but rather than administering 116 cards only 58 are administered and full scales scores prorated to save time. The scales are Number Correct, Perseveration Errors and Number of Categories. The AD8 is a widely used questionnaire assessing behavioral functioning (handling medications and finances). The 3 short form subjects were each correlated with the AD8 scores. Results The correlations between the Number Correct, Perseveration Errors and Number of Categories scores and the AD8 scores were − 0.215, −0.225 and − 0.256 which were all non-significant at the P,0.05 level of statistical significance. It might be noted that if the study sample size were significantly increased then statistical significance could have been obtained. Conclusions While the results were not statistically significant, further study with a larger sample size might demonstrate better results.

A-149 Demographic Correlates of a Short-Form Test of Executive Functioning

2021 ◽  
Vol 36 (6) ◽  
pp. 1203-1203
Author(s):  
Arthur M Horton ◽  
Cecil Reynolds
Keyword(s):  
Multiple Sclerosis ◽  
Traumatic Brain Injury ◽  
Executive Functioning ◽  
Private Practice ◽  
Short Form ◽  
Statistical Significance ◽  
Neuropsychological Testing ◽  
Card Sorting ◽  
Demographic Correlates ◽  
Education Levels

Abstract Objective This poster explores demographic correlates of a recently developed Short-Form Test of Executive Functioning. Method Subjects were 23 adults referred by neurologists and psychiatrist for neuropsychological testing to a private practice. All subjects signed informed consent documents. Subjects included 12 males and 11 females, 20 subjects were Caucasians and 3 were African-Americans, 22 were right handed. The subjects’ ages ranged from 20 to 74 (M-52.04, SD-14.87) and the subjects education levels ranged from 10–20 (M-15.87, SD-3.45). Diagnoses included Stroke-12, Traumatic Brain Injury-6, Alzheimer’s disease-2, Multiple Sclerosis-1, Parkinson’s disease-1 and Epilepsy-1. All subjects were administered neuropsychological testing including the Short-Form Test of Executive Functioning (SF-TEF) The Sf-TEF is composed of 3 card sorting subtests of the Test of Verbal and Conceptual Fluency (TVCF) but rather than administering 116 cards only 58 are administered and full scales scores prorated to save time. The scales are Number Correct, Perseveration Errors and Number of Categories. The 3 short form subjects were each correlated with the subjects age and education variables. Results The correlations between the Number Correct, Perseveration Errors and Number of Categories scores and age scores were 0.247, 0.01, and 0.08 and correlations between the Number Correct, Perseveration Errors and Number of Categories scores and education levels were 0.21, 0.273 and 0.12 which were all non-significant at the P < 0.05 level of statistical significance. Conclusions These results suggest that the scores of the Number Correct, Perseveration Errors and Number of Categories subtests were not unduly influenced by the subjects’ age and education.

scholarly journals The FTO, PNPLA3 and TM6SF2 Gene Polymorphisms and Genetic Predisposition to NAFLD in Yakut Population

2021 ◽  
Vol 11 (1) ◽  
pp. 92-95
Author(s):  
Aleksandra Diakonova ◽  
Khariton Kurtanov ◽  
Nadezhda Pavlova ◽  
Tuyara Aleksandrova
Keyword(s):  
Sample Size ◽  
Frequency Distribution ◽  
Genetic Predisposition ◽  
Gene Polymorphisms ◽  
Statistical Significance ◽  
Study Group ◽  
Men And Women ◽  
Yakut Population ◽  
Fto Rs9939609 ◽  
Larger Sample

The aim of our research was to study the distribution of alleles and genotypes of the FTO rs9939609 SNP, the PNPLA3 rs738409 SNP, and the TM6SF2 rs58542926 SNP in the Yakut population. Methods and Results: A total of 85 DNA samples from the population were tested. An analysis of the frequency distribution of alleles and genotypes of the FTO rs9939609 SNP in the study group did not reveal significant differences. An analysis of the frequency distribution of alleles and genotypes of the PNPLA3 rs738409 SNP revealed that in men and women the G allele and the homozygous GG genotype prevailed. The results of the analysis of the frequency distribution of alleles and genotypes of the TM6SF2 rs58542926 SNP showed the predominance of individuals with the C allele (89% in men and 90% in women) with statistical significance in women. Conclusion: The further studies with a larger sample size are required to detect the features of the distribution of alleles and genotypes of the FTO rs9939609 SNP and the TM6SF2 rs58542926 SNP in that population.

scholarly journals A New Benchmark to Determine What Healthy Western Skin Looks Like in Terms of Biodiversity Using Standardised Methodology

Cosmetics ◽  
2020 ◽  
Vol 7 (4) ◽  
pp. 79
Author(s):  
Christopher Wallen-Russell ◽  
Sam Wallen-Russell
Keyword(s):  
Sample Size ◽  
Statistical Significance ◽  
Age Groups ◽  
Significant Loss ◽  
Primary Objective ◽  
Western World ◽  
Skin Microbiome ◽  
Affecting Factors ◽  
Age Related ◽  
Larger Sample

A significant loss of microbial biodiversity on the skin has been linked to an increased prevalence of skin problems in the western world. The primary objective of this study was to obtain a benchmark value for the microbial diversity found on healthy western skin, using the Chao1 index. This benchmark was used to update our 2017 skin health measuring mechanism in line with standardised methodology. It used 50 human participants from Graz in Austria and at a read depth of 6600 sequences, we found the average Chao1 diversity to be ~180, with upper and lower quartiles of ~208 and ~150, respectively. Previous work with a larger sample size was unsatisfactory to use as a benchmark because different diversity indices and evaluation methodologies were used. The Medical University of Graz used the most recent version of the Chao1 index to obtain diversity results. Because of this study, we can transfer other benchmarks of skin microbiome diversity to the methodology used in this work from our 2017 study, such as “unhealthy western skin” and “caveman/perfect skin”. This could aid with the diagnostic assessment of susceptibility to cutaneous conditions or diseases and treatment. We also investigated the effect of sex and age, which are two known skin microbiome affecting factors. Although no statistical significance is seen for sex- and age-related changes in diversity, there appear to be changes related to both. Our preliminary results (10 in each of the five age groups) show adults aged 28–37 have the highest average diversity, and adults aged 48–57 have the lowest average diversity. In future work, this could be improved by obtaining benchmark diversity values from a larger sample size for any age, sex, body site, and area of residence, to which subjects can be compared. These improvements could help to investigate the ultimate question regarding which environmental factors in the western world are the main cause of the huge rise in skin problems. This could lead to future restrictions of certain synthetic chemicals or products found to be particularly harmful to the skin.

Planning the Size of Clinical Trials with Allowance for Patient Noncompliance

1990 ◽  
Vol 29 (03) ◽  
pp. 243-246 ◽  
Author(s):  
M. A. A. Moussa
Keyword(s):  
Clinical Trial ◽  
Clinical Trials ◽  
Sample Size ◽  
Event Rate ◽  
Survival Functions ◽  
Time Intervals ◽  
Patient Noncompliance ◽  
Event Rates ◽  
Larger Sample

AbstractVarious approaches are considered for adjustment of clinical trial size for patient noncompliance. Such approaches either model the effect of noncompliance through comparison of two survival distributions or two simple proportions. Models that allow for variation of noncompliance and event rates between time intervals are also considered. The approach that models the noncompliance adjustment on the basis of survival functions is conservative and hence requires larger sample size. The model to be selected for noncompliance adjustment depends upon available estimates of noncompliance and event rate patterns.

Validation of the Korean Version of Barkley Deficits in Executive Functioning Scale Short-Form

2019 ◽  
Vol 38 (2) ◽  
pp. 247-256 ◽  
Author(s):  
Ahra Kim ◽  
Eun-Ho Lee ◽  
Yoo-Sook Joung ◽  
Soon-Taeg Hwang ◽  
Sang-Hwang Hong ◽  
...  
Keyword(s):  
Executive Functioning ◽  
Short Form ◽  
Korean Version

Augmentation Strategies for Clozapine-Resistant Patients with Schizophrenia

2020 ◽  
Vol 26 (2) ◽  
pp. 218-227
Author(s):  
Yi-Hang Chiu ◽  
Chia-Yueh Hsu ◽  
Mong-Liang Lu ◽  
Chun-Hsin Chen
Keyword(s):  
Sample Size ◽  
Repetitive Transcranial Magnetic Stimulation ◽  
Mood Stabilizers ◽  
Treatment Resistant ◽  
Double Blind ◽  
Beneficial Effects ◽  
Augmentation Strategies ◽  
Pubmed Database ◽  
Augmentation Strategy ◽  
Larger Sample

Background: Clozapine has been used in treatment-resistant patients with schizophrenia. However, only 40% of patients with treatment-resistant schizophrenia have response to clozapine. Many augmentation strategies have been proposed to treat those clozapine-resistant patients, but the results are inconclusive. In this review, we intended to review papers dealing with the augmentation strategies in the treatment of clozapineresistant patients with schizophrenia. Method: We reviewed randomized, double-blind, placebo- or sham-controlled trials (RCT) for clozapine-resistant patients with schizophrenia in Embase, PsycINFO, Cochrane, and PubMed database from January 1990 to June 2019. Results: Antipsychotics, antidepressants, mood stabilizers, brain stimulation, such as electroconvulsive therapy (ECT) and repetitive transcranial magnetic stimulation, and other strategies, were used as an augmentation in clozapine-resistant patients with schizophrenia. Except for better evidence in memantine with 2 RCTs and cognitive behavior therapy in 2 studies to support its effectiveness, we found that all the other effective augmentations, including sulpiride, ziprasidone, duloxetine, mirtazapine, ECT, sodium benzoate, ginkgo biloba, and minocycline, had only one RCT with limited sample size. Conclusion: In this review, no definite effective augmentation strategy was found for clozapine-resistant patients. Some potential strategies with beneficial effects on psychopathology need further studies with a larger sample size to support their efficacy.

scholarly journals ‘Statistical Irreproducibility’ Does Not Improve with Larger Sample Size: How to Quantify and Address Disease Data Multimodality in Human and Animal Research

2021 ◽  
Vol 11 (3) ◽  
pp. 234
Author(s):  
Abigail R. Basson ◽  
Fabio Cominelli ◽  
Alexander Rodriguez-Palacios
Keyword(s):  
Sample Size ◽  
Data Visualization ◽  
Random Sampling ◽  
Intestinal Inflammation ◽  
Random Number Generation ◽  
Outcome Data ◽  
Multimodal Distributions ◽  
Disease Subtypes ◽  
Study Designs ◽  
Larger Sample

Poor study reproducibility is a concern in translational research. As a solution, it is recommended to increase sample size (N), i.e., add more subjects to experiments. The goal of this study was to examine/visualize data multimodality (data with >1 data peak/mode) as cause of study irreproducibility. To emulate the repetition of studies and random sampling of study subjects, we first used various simulation methods of random number generation based on preclinical published disease outcome data from human gut microbiota-transplantation rodent studies (e.g., intestinal inflammation and univariate/continuous). We first used unimodal distributions (one-mode, Gaussian, and binomial) to generate random numbers. We showed that increasing N does not reproducibly identify statistical differences when group comparisons are repeatedly simulated. We then used multimodal distributions (>1-modes and Markov chain Monte Carlo methods of random sampling) to simulate similar multimodal datasets A and B (t-test-p = 0.95; N = 100,000), and confirmed that increasing N does not improve the ‘reproducibility of statistical results or direction of the effects’. Data visualization with violin plots of categorical random data simulations with five-integer categories/five-groups illustrated how multimodality leads to irreproducibility. Re-analysis of data from a human clinical trial that used maltodextrin as dietary placebo illustrated multimodal responses between human groups, and after placebo consumption. In conclusion, increasing N does not necessarily ensure reproducible statistical findings across repeated simulations due to randomness and multimodality. Herein, we clarify how to quantify, visualize and address disease data multimodality in research. Data visualization could facilitate study designs focused on disease subtypes/modes to help understand person–person differences and personalized medicine.

scholarly journals NCOG-76. BASELINE COGNITIVE ASSESSMENT IN GLIOMA PATIENTS WITH MGMT PROMOTOR METHYLATION AND/OR 1p19q CODELETION

2020 ◽  
Vol 22 (Supplement_2) ◽  
pp. ii146-ii146
Author(s):  
Sydney Park ◽  
Abigail Giles ◽  
Grace Liberatore ◽  
Katherine Morgan ◽  
Cynthia DeBruhl ◽  
...  
Keyword(s):  
Executive Functioning ◽  
Karnofsky Performance Status ◽  
Performance Status ◽  
Neuropsychological Testing ◽  
Methylation Status ◽  
Cognitive Status ◽  
Term Survival ◽  
1P19q Codeletion ◽  
Karnofsky Performance Status Score ◽  
Chemotherapy Administration

Abstract INTRODUCTION Methylguanine methyltransferase (MGMT) methylation status is associated with better overall survival while 1p19q co-deletion is associated with long-term survival. Cognitive dysfunction is a common complication of brain tumors and treatment; however, information regarding the relationship between MGMT status, 1p19q codeletion, and cognition is limited. METHOD Baseline neuropsychological testing was performed in patients with malignant glioma prior to radiation and/or chemotherapy administration. A retrospective data analysis was conducted. We calculated composite and subdomain scores for attention/executive functioning, memory, and language in patients with or without MGMT promotor methylation and/or 1p19q codeletion. RESULTS Thirty-eight patients (Age M = 48.73 ± 14.98; 50% female) diagnosed with glioma (29% grade II, 16% grade III, 21% grade IV; Karnofsky Performance Status score (KPS) M = 88.75 ± 14.24) were selected from a retrospective. Memory was marginally significant, such that methylated participants performed better on memory tasks than the unmethylated group (p = .053). Independent samples t-test revealed no significant differences between either marker across the overall cognitive composite (methylated M = 41.35; unmethylated: M = 39.91; p = .955; 1p19q co-deleted: M = 50.94; 1p19q intact: M = 43.66; p = .158) and subdomains attention/executive functioning (p = .585; p = .157) and language (p = .581; p = .765). Logistic regression showed MGMT does not predict cognitive status (p =.052) and there were not enough cases to complete the model with 1p19q. CONCLUSION MGMT status may be correlated with baseline cognitive status as MGMT methylated patients had better memory scores than their unmethylated counterparts. We did not find any significant association between the remaining cognitive domains and MGMT or 1p19q although sample size is a significant limitation. These results suggest further assessment of changes in cognition during treatment through serial neuropsychological testing of glioma populations with defined marker status is warranted.

scholarly journals Cavalier Use of Inferential Statistics Is a Major Source of False and Irreproducible Scientific Findings

Mathematics ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 603
Author(s):  
Leonid Hanin
Keyword(s):  
Sample Size ◽  
Gaussian Approximation ◽  
Statistical Significance ◽  
Statistical Analyses ◽  
Random Sample Size ◽  
P Values ◽  
The Central Limit Theorem ◽  
Fixed Sample ◽  
Large Numbers ◽  
Significance Levels

I uncover previously underappreciated systematic sources of false and irreproducible results in natural, biomedical and social sciences that are rooted in statistical methodology. They include the inevitably occurring deviations from basic assumptions behind statistical analyses and the use of various approximations. I show through a number of examples that (a) arbitrarily small deviations from distributional homogeneity can lead to arbitrarily large deviations in the outcomes of statistical analyses; (b) samples of random size may violate the Law of Large Numbers and thus are generally unsuitable for conventional statistical inference; (c) the same is true, in particular, when random sample size and observations are stochastically dependent; and (d) the use of the Gaussian approximation based on the Central Limit Theorem has dramatic implications for p-values and statistical significance essentially making pursuit of small significance levels and p-values for a fixed sample size meaningless. The latter is proven rigorously in the case of one-sided Z test. This article could serve as a cautionary guidance to scientists and practitioners employing statistical methods in their work.

The Numbers Will Love You Back in Return—I Promise

2016 ◽  
Vol 11 (4) ◽  
pp. 551-554 ◽  
Author(s):  
Martin Buchheit
Keyword(s):  
Sample Size ◽  
Null Hypothesis ◽  
Clinical Medicine ◽  
Statistical Significance ◽  
Significance Testing ◽  
Null Hypothesis Significance Testing ◽  
Sport Science ◽  
Size Dependent ◽  
Research Questions ◽  
Per Se

The first sport-science-oriented and comprehensive paper on magnitude-based inferences (MBI) was published 10 y ago in the first issue of this journal. While debate continues, MBI is today well established in sport science and in other fields, particularly clinical medicine, where practical/clinical significance often takes priority over statistical significance. In this commentary, some reasons why both academics and sport scientists should abandon null-hypothesis significance testing and embrace MBI are reviewed. Apparent limitations and future areas of research are also discussed. The following arguments are presented: P values and, in turn, study conclusions are sample-size dependent, irrespective of the size of the effect; significance does not inform on magnitude of effects, yet magnitude is what matters the most; MBI allows authors to be honest with their sample size and better acknowledge trivial effects; the examination of magnitudes per se helps provide better research questions; MBI can be applied to assess changes in individuals; MBI improves data visualization; and MBI is supported by spreadsheets freely available on the Internet. Finally, recommendations to define the smallest important effect and improve the presentation of standardized effects are presented.

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