MyMedR

Displaying all 10 publications

Abstract:

Sort:

Fulltext Research Published in Management International Review from 2006 to 2020: A Bibliometric Analysis and Future Directions

Mukherjee D, Kumar S, Donthu N, Pandey N

Manag Int Rev, 2021;61(5):599-642.
PMID: 34658534 DOI: 10.1007/s11575-021-00454-x

The Management International Review (MIR) celebrated its 60th anniversary in 2020. In commemoration of this event, we use a bibliometric analysis to present a retrospective on the journal by analyzing its content for the years between 2006 and 2020. We find that the collaboration culture in MIR has risen over time with the increase in the median size of author teams. Moreover, the collaboration network has become more global over time. The methodology used in the journal is predominantly empirical and quantitative with archival data sources most commonly used. The bibliographic coupling of the MIR corpus reveals that the major themes in the journal revolve around "culture," "emerging economies," "innovation, knowledge transfer, and absorptive capacity," "internationalization process," "culture and entry modes," and "internationalization and performance." A comparison with other leading international business journals provides distinct pathways in which MIR may continue to grow. Finally, it is important to note that while the share of conceptual studies has decreased significantly in the last 15 years, the MIR editors want to see more novel and theoretically grounded conceptual articles in the journal.
Fulltext Retraction Note: GraphCovidNet: A graph neural network based model for detecting COVID-19 from CT scans and X-rays of chest

Saha P, Mukherjee D, Singh PK, Ahmadian A, Ferrara M, Sarkar R

Sci Rep, 2021 11 30;11(1):23451.
PMID: 34848779 DOI: 10.1038/s41598-021-02469-8
Fulltext GraphCovidNet: A graph neural network based model for detecting COVID-19 from CT scans and X-rays of chest

Saha P, Mukherjee D, Singh PK, Ahmadian A, Ferrara M, Sarkar R

Sci Rep, 2021 04 15;11(1):8304.
PMID: 33859222 DOI: 10.1038/s41598-021-87523-1

COVID-19, a viral infection originated from Wuhan, China has spread across the world and it has currently affected over 115 million people. Although vaccination process has already started, reaching sufficient availability will take time. Considering the impact of this widespread disease, many research attempts have been made by the computer scientists to screen the COVID-19 from Chest X-Rays (CXRs) or Computed Tomography (CT) scans. To this end, we have proposed GraphCovidNet, a Graph Isomorphic Network (GIN) based model which is used to detect COVID-19 from CT-scans and CXRs of the affected patients. Our proposed model only accepts input data in the form of graph as we follow a GIN based architecture. Initially, pre-processing is performed to convert an image data into an undirected graph to consider only the edges instead of the whole image. Our proposed GraphCovidNet model is evaluated on four standard datasets: SARS-COV-2 Ct-Scan dataset, COVID-CT dataset, combination of covid-chestxray-dataset, Chest X-Ray Images (Pneumonia) dataset and CMSC-678-ML-Project dataset. The model shows an impressive accuracy of 99% for all the datasets and its prediction capability becomes 100% accurate for the binary classification problem of detecting COVID-19 scans. Source code of this work can be found at GitHub-link .
Targeting inflammatory signaling in obsessive compulsive disorder: a promising approach

Bhatt S, Anitha K, Chellappan DK, Mukherjee D, Shilpi S, Suttee A, et al.

Metab Brain Dis, 2024 Feb;39(2):335-346.
PMID: 37950815 DOI: 10.1007/s11011-023-01314-3

Obsessive-compulsive disorder (OCD) is a neuropsychiatric disorder. Approximately, around 2% to 3% percent of the general population experience symptoms of OCD over the course of their lifetime. OCD can lead to economic burden, poor quality of life, and disability. The characteristic features exhibited generally in OCD are continuous intrusive thoughts and periodic ritualized behaviours. Variations in genes, pathological function of Cortico-Striato-Thalamo-Cortical (CSTC) circuits and dysregulation in the synaptic conduction have been the major factors involved in the pathological progression of OCD. However, the basic mechanisms still largely unknown. Current therapies for OCD largely target monoaminergic neurotransmitters (NTs) in specific dopaminergic and serotonergic circuits. However, such therapies have limited efficacy and tolerability. Drug resistance has been one of the important reasons reported to critically influence the effectiveness of the available drugs. Inflammation has been a crucial factor which is believed to have a significant importance in OCD progression. A significant number of proinflammatory cytokines have been reportedly amplified in patients with OCD. Mechanisms of drug treatment involve attenuation of the symptoms via modulation of inflammatory signalling pathways, modification in brain structure, and synaptic plasticity. Hence, targeting inflammatory signaling may be considered as a suitable approach in the treatment of OCD. The present review focuses mainly on the significant findings from the animal and human studies conducted in this area, that targets inflammatory signaling in neurological conditions. In addition, it also focusses on the therapeutic approaches that target OCD via modification of the inflammatory signaling pathways.
Fulltext Digital tools for direct assessment of autism risk during early childhood: A systematic review

Mukherjee D, Bhavnani S, Lockwood Estrin G, Rao V, Dasgupta J, Irfan H, et al.

Autism, 2024 Jan;28(1):6-31.
PMID: 36336996 DOI: 10.1177/13623613221133176

The challenge of finding autistic children, and finding them early enough to make a difference for them and their families, becomes all the greater in parts of the world where human and material resources are in short supply. Poverty of resources delays interventions, translating into a poverty of outcomes. Digital tools carry potential to lessen this delay because they can be administered by non-specialists in children's homes, schools or other everyday environments, they can measure a wide range of autistic behaviours objectively and they can automate analysis without requiring an expert in computers or statistics. This literature review aimed to identify and describe digital tools for screening children who may be at risk for autism. These tools are predominantly at the 'proof-of-concept' stage. Both portable (laptops, mobile phones, smart toys) and fixed (desktop computers, virtual-reality platforms) technologies are used to present computerised games, or to record children's behaviours or speech. Computerised analysis of children's interactions with these technologies differentiates children with and without autism, with promising results. Tasks assessing social responses and hand and body movements are the most reliable in distinguishing autistic from typically developing children. Such digital tools hold immense potential for early identification of autism spectrum disorder risk at a large scale. Next steps should be to further validate these tools and to evaluate their applicability in a variety of settings. Crucially, stakeholders from underserved communities globally must be involved in this research, lest it fail to capture the issues that these stakeholders are facing.
Fulltext Functionalized Chitosan Nanomaterials: A Jammer for Quorum Sensing

Nag M, Lahiri D, Mukherjee D, Banerjee R, Garai S, Sarkar T, et al.

Polymers (Basel), 2021 Jul 30;13(15).
PMID: 34372136 DOI: 10.3390/polym13152533

The biggest challenge in the present-day healthcare scenario is the rapid emergence and spread of antimicrobial resistance due to the rampant use of antibiotics in daily therapeutics. Such drug resistance is associated with the enhancement of microbial virulence and the acquisition of the ability to evade the host's immune response under the shelter of a biofilm. Quorum sensing (QS) is the mechanism by which the microbial colonies in a biofilm modulate and intercept communication without direct interaction. Hence, the eradication of biofilms through hindering this communication will lead to the successful management of drug resistance and may be a novel target for antimicrobial chemotherapy. Chitosan shows microbicidal activities by acting electrostatically with its positively charged amino groups, which interact with anionic moieties on microbial species, causing enhanced membrane permeability and eventual cell death. Therefore, nanoparticles (NPs) prepared with chitosan possess a positive surface charge and mucoadhesive properties that can adhere to microbial mucus membranes and release their drug load in a constant release manner. As the success in therapeutics depends on the targeted delivery of drugs, chitosan nanomaterial, which displays low toxicity, can be safely used for eradicating a biofilm through attenuating the quorum sensing (QS). Since the anti-biofilm potential of chitosan and its nano-derivatives are reported for various microorganisms, these can be used as attractive tools for combating chronic infections and for the preparation of functionalized nanomaterials for different medical devices, such as orthodontic appliances. This mini-review focuses on the mechanism of the downregulation of quorum sensing using functionalized chitosan nanomaterials and the future prospects of its applications.
Fulltext Amylases: Biofilm Inducer or Biofilm Inhibitor?

Lahiri D, Nag M, Banerjee R, Mukherjee D, Garai S, Sarkar T, et al.

Front Cell Infect Microbiol, 2021;11:660048.
PMID: 33987107 DOI: 10.3389/fcimb.2021.660048

Biofilm is a syntrophic association of sessile groups of microbial cells that adhere to biotic and abiotic surfaces with the help of pili and extracellular polymeric substances (EPS). EPSs also prevent penetration of antimicrobials/antibiotics into the sessile groups of cells. Hence, methods and agents to avoid or remove biofilms are urgently needed. Enzymes play important roles in the removal of biofilm in natural environments and may be promising agents for this purpose. As the major component of the EPS is polysaccharide, amylase has inhibited EPS by preventing the adherence of the microbial cells, thus making amylase a suitable antimicrobial agent. On the other hand, salivary amylase binds to amylase-binding protein of plaque-forming Streptococci and initiates the formation of biofilm. This review investigates the contradictory actions and microbe-associated genes of amylases, with emphasis on their structural and functional characteristics.
Fulltext Acute pancreatitis as a rare adverse event among cannabis users: A systematic review

Jaiswal V, Mukherjee D, Batra N, Ruchika F, Susheela AT, Chia JE, et al.

Medicine (Baltimore), 2022 Jul 01;101(26):e29822.
PMID: 35777067 DOI: 10.1097/MD.0000000000029822

BACKGROUND: Cannabis use has been steadily rising in the United States and can have multiple adverse effects, including cannabis-induced acute pancreatitis. This study aims to collate and highlight the significant demographics, clinical presentation, and outcomes in patients with cannabis-induced acute pancreatitis.
METHOD: A systematic literature search of electronic databases for peer-reviewed articles was conducted. After an initial search, we found 792 articles through different electronic databases. After manually removing duplicates and articles that did not meet the criteria, 25 articles were included in our review.
RESULTS: A total of 45 patients were studied, 35 (78%) cases were male and 10 (22%) cases were female, showing male predominance. The mean age of all participants was 29.2 ± 10.3 years. The most common presenting symptoms were abdominal pain 21 of 21 (100%), nausea 17 of 21 (81%), and vomiting 12 of 20 (60%). Ultrasound was normal in the majority of patients, with findings of mild pancreatitis. Computerized tomography scans revealed pancreatic edema and inflammation in 7 of 20 (35%) patients, and findings of necrotizing pancreatitis and complex fluid collection were visualized in 3 of 20 (15%) patients. Dilatation of intrahepatic or extrahepatic biliary ducts was not seen in any patients. The overall prognosis was good, with reported full recovery.
CONCLUSIONS: Cannabis should be included in the differential diagnosis for the etiology of acute pancreatitis, which would help in early intervention and treatment for the mitigation of the rapidly progressive disease.
Fulltext Inflammatory bowel disease and associated cardiovascular disease outcomes: A systematic review

Jaiswal V, Batra N, Dagar M, Butey S, Huang H, Chia JE, et al.

Medicine (Baltimore), 2023 Feb 10;102(6):e32775.
PMID: 36820570 DOI: 10.1097/MD.0000000000032775

BACKGROUND: There is limited and conflicting data available regarding the cardiovascular disease outcomes associated with inflammatory bowel disease (IBD).
OBJECTIVE: We aim to perform a systematic review to evaluate the cardiovascular outcomes and mortality associated with IBD patients.
METHODS: A systematic literature search has been performed on PubMed, Embase, Cochrane, and Scopus from inception till May 2022 without any language restrictions.
RESULTS: A total of 2,029,941 patients were included in the analysis from 16 studies. The mean age of the patients was 45.6 years. More females were found compared with males (57% vs 43%). The most common risk factors for cardiovascular disease (CVD) included smoking (24.19%) and alcohol (4.60%). The most common comorbidities includes hypertension (30%), diabetes mellitus (14.41%), dyslipidemia (18.42%), previous CVD (22%), and renal disease (10%). Among outcomes, all-cause mortality among IBD patients was 1.66%; ulcerative colitis (UC): 15.92%; and Crohn disease (CD): 0.30%. Myocardial Infarction (MI) among IBD patients were 1.47%, UC: 30.96%; and CD: 34.14%. CVD events among IBD patients were 1.95%. Heart failure events among IBD patients were 5.49%, stroke events among IBD patients were 0.95%, UC: 2.63%, and CD: 2.41%, respectively.
CONCLUSION: IBD patients are at higher risk for adverse cardiovascular outcomes, especially in women. Although there remains a lack of concrete treatment algorithms and assessment parameters that better characterize IBD risk factors, nutritional modifications and physical activity should be at the forefront of CVD prevention in IBD.
Fulltext Initiating or Switching to Insulin Degludec/Insulin Aspart in Adults with Type 2 Diabetes in Malaysia: Results from a Prospective, Non-interventional Real-World Study

Mohamed M, Lim SC, Mumtaz M, Uppal S, Mukherjee D, Kassim MSM, et al.

J ASEAN Fed Endocr Soc, 2023;38(1):37-44.
PMID: 37252419 DOI: 10.15605/jafes.038.01.12

OBJECTIVES: Insulin degludec (IDeg)/insulin aspart (IAsp; IDegAsp) is a co-formulation of 70% IDeg and 30% IAsp. According to several randomized controlled trials, IDegAsp is effective and safe for patients with type 2 diabetes mellitus (T2DM). A subgroup analysis of the ARISE study was conducted to explore the safety and efficacy of IDegAsp among Malaysian patients with T2DM in real-world settings.
METHODOLOGY: ARISE, an open-label, multicenter, non-interventional, prospective study was conducted between August 2019 and December 2020. Adult Malaysian patients with T2DM who were enrolled from 14 sites received IDegAsp as per the local label for 26 weeks. The primary endpoint was change in glycated hemoglobin (HbA1c) levels from baseline to end of study (EOS).
RESULTS: Of the 182 patients included in the full analysis set, 159 (87.4%) completed the study. From baseline to EOS, HbA1c (estimated difference [ED]: -1.3% [95% CI: -1.61 to -0.90]) and fasting plasma glucose levels (ED: -1.8 mmol/L [95% CI: -2.49 to -1.13]) were significantly reduced (p<0.0001). The patient-reported reduced hypoglycemic episodes (overall and nocturnal) during treatment. Overall, 37 adverse events were observed in 23 (12.6%) patients.
CONCLUSION: Switching or initiating IDegAsp treatment resulted in significant improvements in glycemic control and a reduction in hypoglycemic episodes.

Filters

Please provide feedback to Administrator (afdal@afpm.org.my)

External Links