scholarly journals Effectiveness of a Pharmacogenetic Tool at Improving Treatment Efficacy in Major Depressive Disorder: A Meta-Analysis of Three Clinical Studies

Pharmaceutics ◽  
2019 ◽  
Vol 11 (9) ◽  
pp. 453 ◽  
Author(s):  
Vilches ◽  
Tuson ◽  
Vieta ◽  
Álvarez ◽  
Espadaler
Keyword(s):  
Random Effects ◽  
Effect Size ◽  
Clinical Studies ◽  
Clinical Utility ◽  
Meta Analysis ◽  
Severe Depression ◽  
P Value ◽  
Drug Selection ◽  
Mild Depression ◽  
Depressive Patients

Several pharmacogenetic tests to support drug selection in psychiatric patients have recently become available. The current meta-analysis aimed to assess the clinical utility of a commercial pharmacogenetic-based tool for psychiatry (Neuropharmagen®) in the treatment management of depressive patients. Random-effects meta-analysis of clinical studies that had examined the effect of this tool on the improvement of depressive patients was performed. Effects were summarized as standardized differences between treatment groups. A total of 450 eligible subjects from three clinical studies were examined. The random effects model estimated a statistically significant effect size for the pharmacogenetic-guided prescription (d = 0.34, 95% CI = 0.11–0.56, p-value = 0.004), which corresponded to approximately a 1.8-fold increase in the odds of clinical response for pharmacogenetic-guided vs. unguided drug selection. After exclusion of patients with mild depression, the pooled estimated effect size increased to 0.42 (95% CI = 0.19–0.65, p-value = 0.004, n = 287), corresponding to an OR = 2.14 (95% CI = 1.40–3.27). These results support the clinical utility of this pharmacogenetic-based tool in the improvement of health outcomes in patients with depression, especially those with moderate–severe depression. Additional pragmatic RCTs are warranted to consolidate these findings in other patient populations.

scholarly journals Methods to calculate uncertainty in the estimated overall effect size from a random‐effects meta‐analysis

2018 ◽  
Vol 10 (1) ◽  
pp. 23-43 ◽  
Author(s):  
Areti Angeliki Veroniki ◽  
Dan Jackson ◽  
Ralf Bender ◽  
Oliver Kuss ◽  
Dean Langan ◽  
...  
Keyword(s):  
Random Effects ◽  
Effect Size ◽  
Meta Analysis

scholarly journals Effect size: a statistical basis for clinical practice

2018 ◽  
Vol 33 (1) ◽  
pp. 84
Author(s):  
José Valladares-Neto
Keyword(s):  
Effect Size ◽  
Risk Estimation ◽  
Meta Analysis ◽  
Scientific Evidence ◽  
P Value ◽  
Conceptual Basis ◽  
Statistical Measure ◽  
The Difference ◽  
Strength Of Association ◽  
Calculate Sample Size

OBJECTIVE: Effect size (ES) is the statistical measure which quantifies the strength of a phenomenon and is commonly applied to observational and interventional studies. The aim of this review was to describe the conceptual basis of this measure, including its application, calculation and interpretation.RESULTS: As well as being used to detect the magnitude of the difference between groups, to verify the strength of association between predictor and outcome variables, to calculate sample size and power, ES is also used in meta-analysis. ES formulas can be divided into these categories: I – Difference between groups, II – Strength of association, III – Risk estimation, and IV – Multivariate data. The d value was originally considered small (0.20 > d ≤ 0.49), medium (0.50 > d≤ 0.79) or large (d ≥ 0.80); however, these cut-off limits are not consensual and could be contextualized according to a specific field of knowledge. In general, a larger score implies that a larger difference was detected.CONCLUSION: The ES report, in conjunction with the confidence interval and P value, aims to strengthen interpretation and prevent the misinterpretation of data, and thus leads to clinical decisions being based on scientific evidence studies.

scholarly journals Nutraceutical supplements in management of pain and disability in osteoarthritis: a systematic review and meta-analysis of randomized clinical trials

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Dawood Aghamohammadi ◽  
Neda Dolatkhah ◽  
Fahimeh Bakhtiari ◽  
Fariba Eslamian ◽  
Maryam Hashemian
Keyword(s):  
Pain Intensity ◽  
Physical Function ◽  
Random Effects ◽  
Effect Size ◽  
Meta Analysis ◽  
Effect Sizes ◽  
Cochrane Library ◽  
Random Effects Model ◽  
Womac Index ◽  
Pain Subscale

AbstractThis study designed to evaluate the effect of nutraceutical supplementation on pain intensity and physical function in patients with knee/hip OA. The MEDLINE, Web of Science, Cochrane Library, Scopus, EMBASE, Google Scholar, Science direct, and ProQuest in addition to SID, Magiran, and Iranmedex were searched up to March 2020. Records (n = 465) were screened via the PICOS criteria: participants were patients with hip or knee OA; intervention was different nutritional supplements; comparator was any comparator; the outcome was pain intensity (Visual analogue scale [VAS]) and physical function (Western Ontario and McMaster Universities Arthritis [WOMAC] index); study type was randomized controlled trials. The random effects model was used to pool the calculated effect sizes. The standardized mean difference (SMD) of the outcome changes was considered as the effect size. The random effects model was used to combine the effect sizes. Heterogeneity between studies was assessed by Cochran's (Q) and I2 statistics. A total of 42 RCTs were involved in the meta-analysis. Nutritional supplementation were found to improve total WOMAC index (SMD = − 0.23, 95% CI − 0.37 to − 0.08), WOMAC pain (SMD = − 0.36, 95% CI − 0.62 to − 0.10) and WOMAC stiffness (SMD = − 0.47, 95% CI − 0.71 to − 0.23) subscales and VAS (SMD = − 0.79, 95% CI − 1.05 to − 0.05). Results of subgroup analysis according to the supplementation duration showed that the pooled effect size in studies with < 10 months, 10–20 months and > 20 months supplementation duration were 0.05, 0.27, and 0.36, respectively for WOMAC total score, 0.14, 0.55 and 0.05, respectively for WOAMC pain subscale, 0.59, 0.47 and 0.41, respectively for WOMAC stiffness subscale, 0.05, 0.57 and 0.53, respectively for WOMAC physical function subscale and 0.65, 0.99 and 0.12, respectively for VAS pain. The result suggested that nutraceutical supplementation of patients with knee/hip OA may lead to an improvement in pain intensity and physical function.

scholarly journals Confidence intervals for the overall effect size in random-effects meta-analysis.

2008 ◽  
Vol 13 (1) ◽  
pp. 31-48 ◽  
Author(s):  
Julio Sánchez-Meca ◽  
Fulgencio Marín-Martínez
Keyword(s):  
Confidence Intervals ◽  
Random Effects ◽  
Effect Size ◽  
Meta Analysis

scholarly journals Use of Effect Size Measures along with p-Value in Scientific Publications

2021 ◽  
Vol 2 (2) ◽  
pp. 89-97
Author(s):  
Sandheep Sugathan ◽  
Lilli Jacob
Keyword(s):  
Effect Size ◽  
Meta Analysis ◽  
Research Articles ◽  
Outcome Variable ◽  
P Value ◽  
Continuous Variables ◽  
Statistical Concept ◽  
Scientific Publications ◽  
Actual Difference ◽  
The Difference

   Background: To describe various measures for estimation of effect size, how it can be calculated and the scenarios in which each measures of effect size can be applied.  Methods: The researchers can display the effect size measures in research articles which evaluate the difference between the means of continuous variables in different groups or the difference in proportions of outcomes in different groups of individuals. When p-value alone is displayed in a research article, without mentioning the effect size, reader may not get the correct pictures regarding the effect or role of independent variable on the outcome variable.  Results: Effect size is a statistical concept that measures the actual difference between the groups or the strength of the relationship between two variables on a numeric scale.  Conclusion: Effect size measures in scientific publications can communicate the actual difference between groups or the estimate of association between the variables, not just if the association or difference is statistically significant. The researchers can make their findings more interpretable, by displaying a suitable measure of effect size. Effect size measure can help the researchers to do meta-analysis by combining the data from multiple research articles. 

PENGARUH TERAPI REMINISCENCE TERHADAP PENURUNAN TINGKAT DEPRESI PADA LANSIA

2019 ◽  
Vol 9 (2) ◽  
pp. 73-78
Author(s):  
Cucu Rokayah ◽  
Kuslan Kusnandar ◽  
Monica Hendrayanti Putri
Keyword(s):  
Group Therapy ◽  
Depression Scale ◽  
Severe Depression ◽  
Sampling Technique ◽  
The Elderly ◽  
Social Institution ◽  
P Value ◽  
Geriatric Depression ◽  
Mild Depression ◽  
Reminiscence Therapy

Permasalahan depresi pada lansia agar tidak berkembang menjadi masalah yang semakin berat dan serius, membutuhkan dukungan yang menyeluruh dari berbagai pihak untuk membantu lansia menuntaskan tugas-tugas perkembangan dengan berhasil.Terapi Reminiscence baik secara individu maupun kelompok belum pernah diberikan pada lansia di Panti Sosial Tresna Werda Budi Pertiwi, oleh karena itu peneliti berminat untuk melakukan penelitian yang berkaitan dengan pengaruh Terapi kelompok Reminiscence pada lansia yang mengalami depresi.Tujuan penelitian ini adalah untuk mengetahui pengaruh terapi reminiscence terhadap penurunan tingkat depresi pada lansia.Jenis penelitian ini menggunakan quasi experiment.Populasi dalam penelitian ini adalah 29 responden. Teknik sampling dalam penelitian ini diambil dengan menggunakan total sampling. Kusioner menggunakan Geriatrik/Geriatric Depression Scale.Analisis data univariat dan bivariate. Hasil penelitian diperoleh tingkat depresi pada lansia sebelum dilakukan terapi reminiscence dari responden mengalami depresi berat sebanyak 15 responden (51,7%), tingkat depresi pada lansia sesudah dilakukan terapi reminiscence dari responden mengalami depresi ringan sebanyak 14 responden (48,3%), ada pengaruh yang signifikan terapi reminiscence terhadap penurunan tingkat depresi pada lansia, dengan p value 0,000. Berdasarkan hasil penelitian ini disarankan kepada panti wedha dapat melaksanakan terapi kelompok reminiscence yang ada dalam modul secara terjadwal untuk mengurangi atau mencegah depresi pada lansia.   Kata kunci : Depresi, lansia, terapi reminiscence   THE EFFECT OF REMINISCENCE THERAPY ON DECREASING THE LEVEL OF DEPRESSION IN THE ELDERLY   ABSTRACT Depression problems in the elderly so as not to develop into increasingly serious and serious problems, require comprehensive support from various parties to help the elderly to complete developmental tasks successfully. Reminiscence therapy both individually and in groups has never been given to the elderly at the Tresna Werda Budi Pertiwi Social Institution, therefore researchers are interested in conducting research related to the effect of Reminiscence group therapy on elderly who experience depression. The purpose of this study was to determine the effect of reminiscence therapy on decreasing the level of depression in the elderly. This type of research uses a quasi experiment. The population in this study were 29 respondents. The sampling technique in this study was taken using total sampling. The questionnaire uses the Geriatric / Geriatric Depression Scale. Univariate and bivariate data analysis. The results obtained the level of depression in the elderly before reminiscence therapy from respondents experienced severe depression as many as 15 respondents (51.7%), the level of depression in the elderly after reminiscence therapy from respondents experienced mild depression as many as 14 respondents (48.3%) Significant effect of reminiscence therapy on decreasing levels of depression in the elderly, with a p value of 0,000. Based on the results of this study, it is suggested that the Wedha institution can carry out reminiscence group therapy in the module scheduled to reduce or prevent depression in the elderly.  Keywords: Depression, elderly, reminiscence therapy

Detecting and correcting for publication bias in meta-analysis – A truncated normal distribution approach

2016 ◽  
Vol 27 (9) ◽  
pp. 2722-2741 ◽  
Author(s):  
Qiaohao Zhu ◽  
KC Carriere
Keyword(s):  
Normal Distribution ◽  
Publication Bias ◽  
Random Effects ◽  
Effect Size ◽  
Meta Analysis ◽  
Truncated Normal Distribution ◽  
Random Effects Models ◽  
Funnel Plot ◽  
Fixed And Random Effects ◽  
Truncated Normal

Publication bias can significantly limit the validity of meta-analysis when trying to draw conclusion about a research question from independent studies. Most research on detection and correction for publication bias in meta-analysis focus mainly on funnel plot-based methodologies or selection models. In this paper, we formulate publication bias as a truncated distribution problem, and propose new parametric solutions. We develop methodologies of estimating the underlying overall effect size and the severity of publication bias. We distinguish the two major situations, in which publication bias may be induced by: (1) small effect size or (2) large p-value. We consider both fixed and random effects models, and derive estimators for the overall mean and the truncation proportion. These estimators will be obtained using maximum likelihood estimation and method of moments under fixed- and random-effects models, respectively. We carried out extensive simulation studies to evaluate the performance of our methodology, and to compare with the non-parametric Trim and Fill method based on funnel plot. We find that our methods based on truncated normal distribution perform consistently well, both in detecting and correcting publication bias under various situations.

scholarly journals Random-effects meta-analysis of the clinical utility of tests and prediction models

2018 ◽  
Vol 37 (12) ◽  
pp. 2034-2052 ◽  
Author(s):  
L. Wynants ◽  
R.D. Riley ◽  
D. Timmerman ◽  
B. Van Calster
Keyword(s):  
Random Effects ◽  
Clinical Utility ◽  
Prediction Models ◽  
Meta Analysis

Effects of Participation on Performance and Satisfaction: Additional Meta-Analytic Evidence

1999 ◽  
Vol 84 (3) ◽  
pp. 719-725 ◽  
Author(s):  
John A. Wagner ◽  
Jeffrey A. LePine
Keyword(s):  
Random Effects ◽  
Effect Size ◽  
Meta Analysis ◽  
Research Literature ◽  
Previous Literature ◽  
Literature Reviews ◽  
Different Types ◽  
Recent Debate ◽  
And Performance

Stimulated by recent debate, this study investigated whether prior research supports the statement that different forms of participation have different effects on performance and satisfaction in the workplace. Using a collection of 75 correlations drawn from published analyses, a meta-analysis using random effects procedures indicated that relationships between participation and performance reported in the research literature are similar in size and direction across different types of participation. Meta-analytic results also indicated similarity in the size and direction of relationships between participation and satisfaction across different forms of participation and suggested that effect size statistics published in research on participation and performance are generally similar to those reported in studies of participation and satisfaction. These findings differ from the results of another recent meta-analysis and from those of several previous literature reviews but support the primary conclusions of an earlier meta-analytic assessment.

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