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All Journal Narra J
Wanjari, Mayur
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Biochemistry, Genetics & Molecular Biology Health Professions Immunology & microbiology Medicine & Pharmacology Public Health

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Long-term pulmonary and extra-pulmonary consequences of COVID-19: A comprehensive review of current evidence and future perspectives Wanjari, Mayur; Late, Sampada; Sharma, Ranjana; Munjewar, Pratiksha
Narra J Vol. 3 No. 2 (2023): August 2023
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narra.v3i2.156

Abstract

The global impact of the coronavirus disease 2019 (COVID-19) pandemic has been significant, affecting countless individuals worldwide. The existence of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has led to considerable levels of illness and mortality. While considerable attention has been devoted to the immediate handling of COVID-19, there is a growing concern about the long-term effects of this disease. The recent studies have brought to light various complexities associated with COVID-19, encompassing both respiratory and non-respiratory problems such as lung scarring, heart diseases, neurological effects, and psychological consequences. The purpose of this review is to provide a comprehensive understanding of the persistent repercussions of COVID-19. It presents a summary of recent studies that have examined the frequency and severity of these complications, as well as an exploration of the potential mechanisms that contribute to their development. Specifically, it delves into the role of immune dysregulation, prolonged inflammation, and dysfunction of blood vessel linings in the origin of these complications. Moreover, the clinical significance of these long-term consequences is discussed, including their potential impact on healthcare systems and society as a whole. Our review highlights the necessity for continuous monitoring and management of patients diagnosed with COVID-19, along with the importance of conducting follow-up studies over an extended period to determine the most effective strategies for prevention and treatment of these complications.
Penile rehabilitation effectiveness after prostate cancer treatment: A systematic review of randomized controlled trials Prasad, Roshan; Wanjari, Mayur; Lamture, Yeshwant R.; Late, Sampada; Sharma, Ranjana
Narra J Vol. 3 No. 2 (2023): August 2023
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narra.v3i2.174

Abstract

Prostate cancer treatment can significantly impact erectile function, and penile rehabilitation has been proposed to improve the impacts. However, the effectiveness of penile rehabilitations after treatment of prostate cancer is scarce. The aim of this systematic review was to evaluate the effectiveness of different interventions of penile rehabilitation program after prostate cancer treatment. We conducted a comprehensive search of electronic databases, PubMed and Google Scholar, to identify randomized controlled trials that evaluated interventions for penile rehabilitation after prostate cancer treatment. Studies that met our inclusion criteria were systematically reviewed, and data were synthesized and analyzed. We identified 11 randomized controlled trials that evaluated different interventions for penile rehabilitation after prostate cancer treatment. The interventions included the use of phosphodiesterase type 5 inhibitors, intracavernous injections, vacuum erection devices, and penile rehabilitation programs. The data suggest that these phosphodiesterase inhibitors, intracavernous injections, vacuum erection devices, and penile rehabilitation programs are promising in improving erectile function after prostate cancer treatment. However, the optimal timing and duration of these interventions remain unclear, and there is a need for further research to determine their long-term effectiveness and safety. Healthcare providers should consider individualized approaches to penile rehabilitation, taking into account patient characteristics and preferences.
Gender-specific reference values of dynamometric and non-dynamometric trunk performance in individuals with different body fat percentages: A preliminary study Tangri, Shiksha; Goyal, Kanu; Goyal, Manu; Wanjari, Mayur
Narra J Vol. 4 No. 1 (2024): April 2024
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narra.v4i1.303

Abstract

Trunk muscles maintain steady effort with adequate strength and endurance. When the muscle performance is subpar, it might cause lower back discomfort. No reference for trunk strength and endurance has been established previously. The aim of this study was to determine the normative reference values for dynamometric and non-dynamometric tests in people with various body fat percentages. Two hundred sixty-four participants aged 19–40 years old were recruited in this cross-sectional study. The Siri equation was used to calculate the individuals body fat proportions, which were divided into normal, high, and very high body fat for men and women. The Modified Sorenson's and the Back-Leg-Chest Dynamometric tests were utilized to measure muscular performance. The means of strength in females with normal, high, and very high body fat percentages were 27.39, 25.75, and 25.37 N/m2, respectively. The males in the same category had the means of 56.48, 51.79, and 60.17 N/m2, respectively. The highest mean of endurance in females was in those with normal body fat percentage (42.28), so did males (71.02). Our findingssuggest that males had higher trunk muscle strength and endurance than females, and normal-body-fat individuals had the greatest endurance regardless of gender.
Primary malignant giant cell tumor (PMGCT): Diagnosis and management challenges in low resource settings Prasad, Roshan; Shukla, Samarth; Acharya, Sourya; Mittal, Gaurav; Wanjari, Mayur
Narra J Vol. 5 No. 1 (2025): April 2025
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narra.v5i1.1088

Abstract

Bone primary malignant giant cell tumor (PMGCT) cases are extremely rare, and the optimal management remains unclear. This case report details the diagnosis and successful management of PMGCT in a 45-year-old female presenting with left knee pain, swelling, and restricted movement for one year. Accompanying weight loss and loss of appetite led the patient to seek tertiary care after unsuccessful prior treatment. Imaging, including X-ray and magnetic resonance imaging (MRI), revealed a tumor measuring 7.9 × 7.7 × 6.6 cm, and histopathological examination using fine needle aspiration cytology confirmed the diagnosis of PMGCT. A multidisciplinary approach was taken, involving orthopedic surgery to remove the tumor successfully, and physiotherapy for post-operative care. The patient underwent tumor excision and curettage under spinal and epidural anesthesia, followed by a week of bed rest, and then physiotherapy was started to aid in limb mobilization. Post-operative care involved blood transfusions, femoral artery stenting, continued physiotherapy and adjuvant radiotherapy, initiated two weeks post-surgery, with a total dose of 50 Gy delivered in 25 sessions to reduce the risk of recurrence. Initial monthly follow-ups, later transitioning to quarterly, showed improved joint mobility and function, with no recurrence at the 9-month follow-up. This case highlights the importance of early diagnosis and a multidisciplinary approach in managing PMGCT. Collaboration across specialties contributed to the positive outcome, even in a resource-limited setting. Long-term monitoring remains essential to detect recurrence, and further research is needed to refine treatment strategies for malignant GCTs.
Artificial intelligence-based deep learning algorithms for ground-glass opacity nodule detection: A review Shah, Henil P.; Naqvi, Agha SAH.; Rajput, Parth; Ambra, Hanan; Venkatesh, Harrini; Saleem, Junaid; Saravanan, Sudarshan; Wanjari, Mayur; Mittal, Gaurav
Narra J Vol. 5 No. 1 (2025): April 2025
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narra.v5i1.1361

Abstract

Ground-glass opacities (GGOs) are hazy opacities on chest computed tomography (CT) scans that can indicate various lung diseases, including early COVID-19, pneumonia, and lung cancer. Artificial intelligence (AI) is a promising tool for analyzing medical images, such as chest CT scans. The aim of this study was to evaluate AI models' performance in detecting GGO nodules using metrics like accuracy, sensitivity, specificity, F1 score, area under the curve (AUC) and precision. We designed a search strategy to include reports focusing on deep learning algorithms applied to high-resolution CT scans. The search was performed on PubMed, Google Scholar, Scopus, and ScienceDirect to identify studies published between 2016 and 2024. Quality appraisal of included studies was conducted using the Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2) tool, assessing the risk of bias and applicability concerns across four domains. Two reviewers independently screened studies reporting the diagnostic ability of AI-assisted CT scans in early GGO detection, where the review results were synthesized qualitatively. Out of 5,247 initially identified records, we found 18 studies matching the inclusion criteria of this study. Among evaluated models, DenseNet achieved the highest accuracy of 99.48%, though its sensitivity and specificity were not reported. WOANet showed an accuracy of 98.78%, with a sensitivity of 98.37% and high specificity of 99.19%, excelling particularly in specificity without compromising sensitivity. In conclusion, AI models can potentially detect GGO on chest CT scans. Future research should focus on developing hybrid models that integrate various AI approaches to improve clinical applicability.
Co-Authors Acharya, Sourya Ambra, Hanan Goyal, Kanu Goyal, Manu Lamture, Yeshwant R. Late, Sampada Mittal, Gaurav Munjewar, Pratiksha Naqvi, Agha SAH. Prasad, Roshan Rajput, Parth Saleem, Junaid Saravanan, Sudarshan Shah, Henil P. Sharma, Ranjana Shukla, Samarth Tangri, Shiksha Venkatesh, Harrini