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All Journal e-CliniC JURNAL BIOMEDIK Jurnal Kedokteran Klinik Jurnal Sinaps MAHESA : Malahayati Health Student Journal Eduvest - Journal of Universal Studies Jurnal Kedokteran Meditek Jurnal Info Kesehatan
Rizal Tumewah
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Aerospace Engineering Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Dentistry Education Health Professions Immunology & microbiology Medicine & Pharmacology Neuroscience Nursing Public Health Social Sciences

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Prediksi Gangguan Kognitif Ringan Menggunakan Pencitraan Resonansi Magnetik dan Deep Learning: Sebuah Studi Meta-Analisis Setiawan, Budi; Wariki, Windy Mariane Virenia; Warouw, Finny; Momole, Ansye Grace Nancy; Tumewah, Rizal; Pertiwi, Junita Maja
Jurnal Kedokteran Meditek Vol 31 No 2 (2025): MARCH
Publisher : Fakultas Kedokteran Universitas Kristen Krida Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36452/jkdoktmeditek.v31i2.3463

Abstract

Introduction: Mild Cognitive Impairment (MCI) is a condition characterized by cognitive decline that does not interfere with daily activities but increases the risk of progressing to Alzheimer's Dementia (AD). Early detection of MCI progression to AD is crucial for early intervention. Purpose: The purpose of this meta-analysis to evaluate the performance of Convolutional Neural Networks (CNNs), an artificial intelligence used to analyze complex data such as images, in predicting the conversion of MCI to AD using MRI data. Methods: A meta-analysis was conducted following PRISMA guidelines, utilizing articles from PubMed and Wiley Online Library. Inclusion criteria focused on studies that used CNN in conjunction with MRI to diagnose MCI. A total of 39 articles with 40 comparative studies were analyzed. Results: The CNN showed an average accuracy of 0.7910 (p < 0.0001), sensitivity of 0.7698, specificity of 0.8467, and an Area Under the Curve (AUC) of 0.8063. High heterogeneity (I² = 90.90%) indicated significant variation across studies. Sub meta-analysis revealed consistent performance despite the heterogeneity. Conclusion: CNN is potentially useful for predicting the progression of MCI to AD. Further research is needed to address heterogeneity, improve algorithms, expand datasets, and include more diverse populations.
Comparison of the Effectiveness of Botulinum Toxin A (BoNTA) Injection Therapy and Deep Brain Stimulation (DBS) in Cervical Dystonia: A Meta-Analysis Purbawijaya, Poek Denny; Tumewah, Rizal; Jehosua, Seilly Yunita; Warouw, Finny; Runtuwene, Theresia
Eduvest - Journal of Universal Studies Vol. 5 No. 5 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i5.50232

Abstract

Cervical dystonia is a debilitating movement disorder, and both Deep Brain Stimulation (DBS) and Botulinum Toxin A (BoNTA) are commonly used treatments. However, their comparative effectiveness remains unclear. This study aims to evaluate the effectiveness of DBS versus BoNTA in improving TWSTRS scores and to explore factors influencing treatment outcomes. A meta-analysis was conducted, including subgroup analyses and meta-regression to assess the efficacy of both treatments across various demographics and study designs. The results indicate that DBS significantly improves TWSTRS scores by an average of 54.48% (95% CI 45.01–63.95), compared to BoNTA's 28.96% (95% CI 24.12–33.80). High heterogeneity was noted, but no significant differences were found across intervention types or patient demographics. These findings suggest that DBS is a more effective treatment for cervical dystonia than BoNTA, regardless of patient age or follow-up duration. Future research should investigate the mechanisms behind these differences to optimize treatment strategies.
Studi Meta-Analisis Transcranial Doppler Terhadap Glasgow Outcome Score Pada Cedera Otak Traumatik William, William; Tumewah, Rizal; Ngantung, Denny; Pertiwi, Junita Maja; Tumboimbela, Melke; Wariki, Windy Mariane Virenia
MAHESA : Malahayati Health Student Journal Vol 5, No 7 (2025): Volume 5 Nomor 7 (2025)
Publisher : Universitas Malahayati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33024/mahesa.v5i7.18851

Abstract

ABSTRACT Traumatic brain injury (TBI) through primary and secondary brain injury causes ischemic, hypoxic, cerebral edema, increased intracranial pressure, which are related to physiological, emotional damage and disability. Transcranial Doppler (TCD) as a diagnostic tool can monitor increased intracranial pressure through hypoperfusion and also monitor vasospasm. This meta-analysis study aims to determine TCD as a diagnostic tool in predicting outcomes in TBI cases. Observational studies were taken on TCD examination in TBI cases. Clinical outcomes were assessed based on the Glasgow Outcome Score (GOS), Glasgow Outcome Score-Extended (GOS-E), and mortality. Secondary outcomes were the cut-off values of the Pulsatility Index (PI) and Lindegaard Ratio (LR) related to GOS, GOSE and mortality. Abnormal TCD values in TBI cases would have a 11 times greater likelihood of poor GOS (OR 11.51, 95% CI 7.75 to 17.10). Abnormal TCD had a 11 times greater likelihood of causing death compared to normal TCD (OR 11.05, 95% CI 5.99 to 20.40). Hypoperfusion on TCD had a 6 times greater likelihood of being associated with poor GOS (OR 6.33, 95% CI 0.28 to 144.48) and had a 22 times greater likelihood of causing death compared to vasospasm on TCD (OR 22.86, 95% CI 0.70 to 751.27). ROC curve analysis showed that the PI cut-off value of 1.03 and LR 3.3 were associated with poor GOS. TCD can be used as a diagnostic tool to predict poor GOS outcomes and mortality in TBI cases. Keywords: Transcranial Doppler, Glasgow Outcome Score, Traumatic Brain Injury ABSTRAK Cedera otak traumatik (COT) melalui cedera otak primer dan sekunder menyebabkan proses iskemik, hipoksik, edema serebral, kenaikan tekanan intrakranial, yang berkaitan dengan kerusakan fisiologis, emosional dan disabilitas. Transcranial Doppler (TCD) sebagai alat penunjang diagnostik dapat memantau kenaikan tekanan intrakranial melalui hipoperfusi dan juga memantau vasospasme. Studi meta-analisis ini bertujuan untuk menentukan TCD sebagai alat penunjang diagnostik dalam memprediksi luaran pada kasus COT. Studi observasional pemantauan TCD pada kasus COT diambil untuk dilakukan meta-analisis. Luaran klinis dinilai berdasarkan Glasgow Outcome Score (GOS), Glasgow Outcome Score-Extended (GOS-E), dan mortalitas. Luaran sekunder berupa nilai cut-off Pulsatility Index (PI) dan Lindegaard Ratio (LR) yang berhubungan dengan GOS, GOSE dan mortalitas. Nilai abnormal pada TCD akan memiliki kemungkinan 11 kali luaran GOS buruk (OR 11.51, 95% CI 7.75 to 17.10). TCD abnormal memiliki kemungkinan 11 kali menyebabkan kematian dibandingkan TCD normal (OR 11.05, 95% CI 5.99 to 20.40). Hipoperfusi pada TCD memiliki kemungkinan 6 kali berkaitan dengan GOS buruk (OR 6.33, 95% CI 0.28 to 144.48) dan memiliki kemungkinan 22 kali menyebabkan kematian dibandingkan vasospasme pada TCD (OR 22.86, 95% CI 0.70 to 751.27). Analisis kurva ROC memperlihatkan nilai cut-off PI 1.03 dan LR 3.3 berkaitan dengan GOS yang buruk. TCD dapat digunakan sebagai alat diagnostik untuk memprediksi luaran GOS buruk dan mortalitas pada kasus COT. Kata Kunci: Transcranial Doppler, Glasgow Outcome Score, Cedera Otak Traumatik 
Meta-Analysis Study of Correlation Between Olfactory Dysfunction and Cognitive Impairment in Parkinson's Disease Sie, Juliana; Pertiwi, Junita Maja; Tumewah, Rizal; Momole, Ansye; Jehosua, Seilly; Wariki, Windy
JURNAL INFO KESEHATAN Vol 24 No 1 (2026): JURNAL INFO KESEHATAN
Publisher : Research and Community Service Unit, Poltekkes Kemenkes Kupang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31965/infokes.Vol24.Iss1.2319

Abstract

Disturbance in olfactory perception is commonly identified as a non motor manifestation in Parkinson’s disease and is often interpreted as an early biological signal reflecting ongoing degeneration of neural structures. This study was specifically formulated to conduct an in depth evaluation of the association between reduced smell performance and impaired cognitive functioning in Parkinson’s disease by applying systematic numerical aggregation techniques that adhere to internationally accepted research protocols. A broad and methodologically organized literature exploration was conducted using PubMed Wiley and ScienceDirect to identify empirical studies examining the association linking smell processing ability with mental functioning measures in individuals diagnosed with Parkinson’s disease. The screening process was carried out in accordance with clearly defined inclusion requirements. Assessment of smell function relied on the olfactory recognition assessment developed by the University of Pennsylvania Test UPSIT while evaluation of cognitive condition employed the MMSE alongside the MoCA cognitive screening tools. Pooled odds ratio values along with 95% confidence interval ranges were calculated using a random effects modeling framework. Overall 3 eligible studies comprising 773 individuals conducted in populations from America, Korea, and Britain met the established inclusion standards. Quantitative synthesis revealed a statistically meaningful relationship between impaired olfactory ability and reduced cognitive performance in Parkinson’s disease, with individuals experiencing hyposmia or anosmia showing a markedly increased probability of cognitive impairment compared with participants exhibiting intact smell perception OR 2.57 95% CI 1.15 to 5.74. The results of this analysis suggest a strong and statistically significant relationship between diminished olfactory capacity and cognitive impairment in Parkinson’s disease, highlighting its potential role as an early detectable clinical indicator of progressive cognitive deterioration. Despite the presence of variability among included studies and a relatively small pool of eligible research, the meta analytic evidence supports the usefulness of olfactory assessment as a non invasive and economically efficient approach for identifying cognitive risk in Parkinson’s disease. Additional large scale investigations employing uniform evaluation protocols are necessary to confirm these outcomes and enhance their relevance in clinical practice.             
Co-Authors Abrar Arham Arthur H.P. Mawuntu, Arthur H.P. Bernadus, Janno Berty Bradly Budi Setiawan Caroline G. Senaen Corry N. Mahama David Susanto Febrilya F. Tarukbua, Febrilya F. Gilbert Tangkudung Glen Y. C. R. Kabi Hasibuan, Mughni H. Jehosua, Seilly Jehosua, Seilly Yunita Junita Maja Pertiwi Junita Maja PS, Junita Maja Maria Theresia Jasi Mawuntu, Arthur H P Mieke A. H. N Kembuan Mieke A. H. N. Kembuan Momole, Ansye Momole, Ansye Grace Nancy Ngantung, Denny Pertiwi, Junita Maja Purbawijaya, Poek Denny Rachel Mongisidi Ricky Gunawan Sie, Juliana Sumampouw, Ezra L.P Sutrisno, Pedro Theresia Runtuwene Tumboimbela, Melke Wariki, Windy M. V. Warouw, Finny William William