Garuda - Garba Rujukan Digital

Acceptance, safety, and impact on quality of life of exergame for elderly patients with neurodegenerative diseases: A systematic review and meta-analysis Tsurayya, Ghina; Duta, Teuku F.; Naufal, Muhammad A.; Alina, Meulu; Isitua, Chinwe C.; Ohanu, Ernest C.
Narra X Vol. 1 No. 3 (2023): December 2023
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narrax.v1i3.94

The aim of this study was to evaluate the efficacy, safety, adherence, and acceptance of exergame in improving the quality of life (QoL) among elderly patients with neurodegenerative diseases. A systematic search was conducted in PubMed, Embase and Scopus for relevant studies up to 16 March 2023. Quality of the included studies were assessed using Cochrane’s Risk of Bias tool version 2.0. Meta-analysis using a random effect was conducted on outcomes reported at least by two studies to calculate the standard mean difference (SMD) and its 95% confidence interval (CI). The difference of influence between exergame and conventional therapy was judged based on Z- and p-values. Heterogeneity was determined by I2 score. As many as 15 studies were included (n=466 participants) published between 2013–2023. Nine studies had ‘high quality’ five studies had ‘some concerns’, and one had ‘high risk’. Results from meta-analyses suggests that the exergame does significantly not improve the QoL among patients with Parkinson’s diseases. Similarly, no statistically significant difference (p>0.05) of QoL improvement among Alzheimer’s disease patients receiving exergame intervention. No adverse effects were reported to be associated with the intervention, and in fact, the patients experienced reduced fatigue and fear of falling. Patients in intervention group showed high acceptance and adherence to the therapy, which could be attributed to exergame being enjoyable, easy-to-use, and motivational. In conclusion, despite exergame being highly acceptable and relatively safe, the intervention does not improve the QoL of the elderly patients.

Vitamin D supplementation improves foot ulcers among diabetic patients: Pooled analysis of randomized controlled trials Putra, Muhammad IA.; Gusti , Naufal; Duta, Teuku F.; Alina, Meulu; Qanita, Intan; Naufal, Muhammad A.; Henira, Najlaika; Tsurayya, Ghina; Amirah, Shakira
Narra X Vol. 1 No. 3 (2023): December 2023
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narrax.v1i3.104

Serum vitamin D level is associated with the development of diabetic foot ulcer (DFU), and it is intriguing to determine if the vitamin supplementation could reverse the diabetic complication. The aim of this study was to investigate the efficacy of vitamin D supplementation in DFU management through qualitative and quantitative systematic review. A systematic search was conducted to screen the records identified in PubMed, Scopus, Embase, Scillit, Sci-Finder, LILACS, EuropePMC, medRxiv, bioRvix, Google Scholar, Semantic Scholar, and Garuda databases as of 10 March 2023. Studies investigating the efficacy of a single dose supplementation of vitamin D in DFU management were included. Quality of the included studies was appraised by Cochrane ‘Risk of Bias’ 2.0. Random-effects-based pooled analysis using Cohen’s d was performed on the wound healing progress as the primary outcome. A sensitivity test with leave-one-out method and meta-regression were also conducted to analyze the effect of heterogenous data. Five studies with a total of 245 patients (123 versus 122 for experimental and control groups, respectively) were finally included in the qualitative and quantitative analysis. The pooled estimate suggested that administering vitamin D to DFU patients could reduce the wound area or depth significantly as compared to control group (p<0.001; Cohen’s d: 2.72; 95% CI: 1.02 to 4.42). The value remained positive throughout the leave-one-out analysis. Vitamin D supplementation significantly contributed to the increased level of serum vitamin D (p=0.026, Cohen’s d: -0.719; 95% CI: -1.35 to -0.09). Elevation of high-density lipoprotein was observed in pooled estimate with p=0.016 and Cohen’d: 1.34 (95% CI: 0.25 to 2.44). Qualitatively, significant reduction of HbA1C, total cholesterol, and C-reactive protein were reported in at least two trials. Significantly improved quantitative insulin sensitivity check index (QUICKI) and decreased malondialdehyde, fructosamine, and fasting blood glucose were reported in at least one trial each. There were conflicting results on the change of low-density lipoprotein level. This study highlights that vitamin D supplementation promotes wound healing process among DFU patients; however, it is too premature to draw solid conclusions as the efficacy could be affected by multiple factors. Therefore, clinical trials from various demographics and ethnicities by using a high- versus low-dose model are needed.

Prognostication of differentiated thyroid cancer recurrence: An explainable machine learning approach Idroes, Ghazi M.; Noviandy, Teuku R.; Idroes , Ghalieb M.; Hardi, Irsan; Duta, Teuku F.; Hamoud, Lama MA.; Al-Gunaid , Hala T.
Narra X Vol. 2 No. 3 (2024): December 2024
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narrax.v2i3.183

Differentiated thyroid cancer (DTC) generally has a favorable prognosis, but recurrence remains a concern for a subset of patients, highlighting the need for accurate predictive tools. While traditional methods, such as the American Thyroid Association (ATA) guidelines, are widely used, they may not fully capture the complex patterns in clinical data. To address this, we developed a machine learning model using LightGBM and enhanced its interpretability with SHAP (SHapley Additive exPlanations). Our model, trained on data from 383 DTC patients, identified response to initial therapy as the most significant predictor of recurrence, alongside age and risk level. The model achieved an accuracy of 93.51%, with precision and sensitivity of 94.23% and 96.08%, respectively, using only five key features selected through Recursive Feature Elimination (RFE). SHAP analysis provided clear insights into how these features influenced predictions, offering a transparent and interpretable approach to risk stratification. These results highlight the potential of explainable machine learning to improve recurrence prediction, support personalized care, and build clinician trust, while laying the groundwork for further validation in diverse populations.

Exergame for post-stroke rehabilitation among elderly patients: A systematic review and meta-analysis Duta, Teuku F.; Tsurayya, Ghina; Naufal, Muhammad A.
Narra X Vol. 1 No. 1 (2023): April 2023
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narrax.v1i1.73

Advancement in gaming technology, including exergame, is thought to offer a promising innovation in rehabilitative treatment owing to its interactive and joyful natures. Elderly, in addition to being prevalent in stroke, they have different perspectives and adaptability toward the utilization of exergame in post-stroke rehabilitation. The aim of this study was to evaluate the effectiveness of exergame-based rehabilitation in ameliorating stroke-associated cognitive impairment among elderly patients. This systematic review followed the Preferred Reporting Item for Systematic Review and Meta-Analysis (PRISMA) guideline. The literatures were retrieved from the searches on PubMed, Scopus, and Embase databases using a combination of ‘exergame’, ‘stroke’, and ‘elderly’ along with their respective synonyms. Included studies were controlled observational studies and randomized clinical trials with subjects’ mean age >60 years old, measuring global cognitive and/or five cognitive domains (attention, language, executive function, memory, and visuospatial ability). Quality appraisals were performed based on the Cochrane ‘risk-of-bias tool’ and Physiotherapy Evidence Database Scale. Studies with high and good qualities were included in the meta-analyses. Six randomized controlled trials involving 179 patients were included in meta-analysis. Studies had variations in terms of type (combination of exergame-based and conventional rehabilitation or exergame-based only) and duration of interventions (30–110 min), length of observation (2–6 weeks), and tools used to examine cognitive outcomes. As compared with conventional rehabilitation, exergame-based rehabilitation was significantly more effective to improve global cognitive based on Montreal Cognitive Assessment Score in acute stroke patients (n=4; mean difference (MD) 3.66; 95% confidence interval (95%CI): 2.08, 5.24; p<0.00001), but significantly less effective in chronic stroke patients (n=2; MD -1.54; 95%CI: -2.28, -0.81; p<0.0001). In conclusion, global cognitive of elderly patients with acute strokes could be improved through exergame-based rehabilitation which is more effective as compared with conventional therapy.

Essential oils for COVID-19 management: A systematic review of randomized controlled trials Duta, Teuku F.; Rizki, Diva R.; Purnama , Agnia; Rademaker, Marius; Wollina, Uwe; Acharya, Yogesh; Abdeen, Ziad; Rosa, Sandro G. V.; Nielsen, Henning B.; Subbaram, Kannan
Narra X Vol. 1 No. 2 (2023): August 2023
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narrax.v1i2.84

Essential oils can be a beneficial adjuvant therapy in managing coronavirus disease 2019 (COVID-19). This systematic review aims to evaluate the efficacy of essential oils in ameliorative COVID-19-related symptoms. Published studies reporting the efficacy of essential oils as adjuvant therapy for COVID-19 were screened on Scillit, Scopus, SciFinder, and PubMed (December 7th, 2022). Inclusion criteria include the randomized controlled trials (RCTs) participated by those diagnosed with COVID-19 and treated with essential oils as adjuvant therapy. Quality assessment was carried out using Cochrane ‘risk-of-bias’ 2.0 tool. A total of 2112 records were retrieved from the initial screening, which was reduced to four publications (n=344 individuals). The foregoing studies reported that essential oils could improve the recovery rate, alleviate post-COVID-19 fatigue, and prevent disease progression. Regarding their potential antiviral activity, better designed studies are needed. In conclusion, essential oils as adjuvant therapy are beneficial in ameliorating mild COVID-19 symptoms.

Acceptance, safety, and impact on quality of life of exergame for elderly patients with neurodegenerative diseases: A systematic review and meta-analysis Tsurayya, Ghina; Duta, Teuku F.; Naufal, Muhammad A.; Alina, Meulu; Isitua, Chinwe C.; Ohanu, Ernest C.
Narra X Vol. 1 No. 3 (2023): December 2023
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narrax.v1i3.94

The aim of this study was to evaluate the efficacy, safety, adherence, and acceptance of exergame in improving the quality of life (QoL) among elderly patients with neurodegenerative diseases. A systematic search was conducted in PubMed, Embase and Scopus for relevant studies up to 16 March 2023. Quality of the included studies were assessed using Cochrane’s Risk of Bias tool version 2.0. Meta-analysis using a random effect was conducted on outcomes reported at least by two studies to calculate the standard mean difference (SMD) and its 95% confidence interval (CI). The difference of influence between exergame and conventional therapy was judged based on Z- and p-values. Heterogeneity was determined by I2 score. As many as 15 studies were included (n=466 participants) published between 2013–2023. Nine studies had ‘high quality’ five studies had ‘some concerns’, and one had ‘high risk’. Results from meta-analyses suggests that the exergame does significantly not improve the QoL among patients with Parkinson’s diseases. Similarly, no statistically significant difference (p>0.05) of QoL improvement among Alzheimer’s disease patients receiving exergame intervention. No adverse effects were reported to be associated with the intervention, and in fact, the patients experienced reduced fatigue and fear of falling. Patients in intervention group showed high acceptance and adherence to the therapy, which could be attributed to exergame being enjoyable, easy-to-use, and motivational. In conclusion, despite exergame being highly acceptable and relatively safe, the intervention does not improve the QoL of the elderly patients.

Vitamin D supplementation improves foot ulcers among diabetic patients: Pooled analysis of randomized controlled trials Putra, Muhammad IA.; Gusti , Naufal; Duta, Teuku F.; Alina, Meulu; Qanita, Intan; Naufal, Muhammad A.; Henira, Najlaika; Tsurayya, Ghina; Amirah, Shakira
Narra X Vol. 1 No. 3 (2023): December 2023
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narrax.v1i3.104

Serum vitamin D level is associated with the development of diabetic foot ulcer (DFU), and it is intriguing to determine if the vitamin supplementation could reverse the diabetic complication. The aim of this study was to investigate the efficacy of vitamin D supplementation in DFU management through qualitative and quantitative systematic review. A systematic search was conducted to screen the records identified in PubMed, Scopus, Embase, Scillit, Sci-Finder, LILACS, EuropePMC, medRxiv, bioRvix, Google Scholar, Semantic Scholar, and Garuda databases as of 10 March 2023. Studies investigating the efficacy of a single dose supplementation of vitamin D in DFU management were included. Quality of the included studies was appraised by Cochrane ‘Risk of Bias’ 2.0. Random-effects-based pooled analysis using Cohen’s d was performed on the wound healing progress as the primary outcome. A sensitivity test with leave-one-out method and meta-regression were also conducted to analyze the effect of heterogenous data. Five studies with a total of 245 patients (123 versus 122 for experimental and control groups, respectively) were finally included in the qualitative and quantitative analysis. The pooled estimate suggested that administering vitamin D to DFU patients could reduce the wound area or depth significantly as compared to control group (p<0.001; Cohen’s d: 2.72; 95% CI: 1.02 to 4.42). The value remained positive throughout the leave-one-out analysis. Vitamin D supplementation significantly contributed to the increased level of serum vitamin D (p=0.026, Cohen’s d: -0.719; 95% CI: -1.35 to -0.09). Elevation of high-density lipoprotein was observed in pooled estimate with p=0.016 and Cohen’d: 1.34 (95% CI: 0.25 to 2.44). Qualitatively, significant reduction of HbA1C, total cholesterol, and C-reactive protein were reported in at least two trials. Significantly improved quantitative insulin sensitivity check index (QUICKI) and decreased malondialdehyde, fructosamine, and fasting blood glucose were reported in at least one trial each. There were conflicting results on the change of low-density lipoprotein level. This study highlights that vitamin D supplementation promotes wound healing process among DFU patients; however, it is too premature to draw solid conclusions as the efficacy could be affected by multiple factors. Therefore, clinical trials from various demographics and ethnicities by using a high- versus low-dose model are needed.

Prognostication of differentiated thyroid cancer recurrence: An explainable machine learning approach Idroes, Ghazi M.; Noviandy, Teuku R.; Idroes , Ghalieb M.; Hardi, Irsan; Duta, Teuku F.; Hamoud, Lama MA.; Al-Gunaid , Hala T.
Narra X Vol. 2 No. 3 (2024): December 2024
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narrax.v2i3.183

Differentiated thyroid cancer (DTC) generally has a favorable prognosis, but recurrence remains a concern for a subset of patients, highlighting the need for accurate predictive tools. While traditional methods, such as the American Thyroid Association (ATA) guidelines, are widely used, they may not fully capture the complex patterns in clinical data. To address this, we developed a machine learning model using LightGBM and enhanced its interpretability with SHAP (SHapley Additive exPlanations). Our model, trained on data from 383 DTC patients, identified response to initial therapy as the most significant predictor of recurrence, alongside age and risk level. The model achieved an accuracy of 93.51%, with precision and sensitivity of 94.23% and 96.08%, respectively, using only five key features selected through Recursive Feature Elimination (RFE). SHAP analysis provided clear insights into how these features influenced predictions, offering a transparent and interpretable approach to risk stratification. These results highlight the potential of explainable machine learning to improve recurrence prediction, support personalized care, and build clinician trust, while laying the groundwork for further validation in diverse populations.

Title

Found 8 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 8 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 8 Documents
Search