Displaying publications 1 - 20 of 200 in total

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  1. Hossain R, Ibrahim RB, Hashim HB
    World Neurosurg, 2023 Jul;175:57-68.
    PMID: 37019303 DOI: 10.1016/j.wneu.2023.03.115
    To develop a research overview of brain tumor classification using machine learning, we conducted a systematic review with a bibliometric analysis. Our systematic review and bibliometric analysis included 1747 studies of automated brain tumor detection using machine learning reported in the previous 5 years (2019-2023) from 679 different sources and authored by 6632 investigators. Bibliographic data were collected from the Scopus database, and a comprehensive bibliometric analysis was conducted using Biblioshiny and the R platform. The most productive and collaborative institutes, reports, journals, and countries were determined using citation analysis. In addition, various collaboration metrics were determined at the institute, country, and author level. Lotka's law was tested using the authors' performance. Analysis showed that the authors' publication trends followed Lotka's inverse square law. An annual publication analysis showed that 36.46% of the studies had been reported in 2022, with steady growth from previous years. Most of the cited authors had focused on multiclass classification and novel convolutional neural network models that are efficient for small training sets. A keyword analysis showed that "deep learning," "magnetic resonance imaging," "nuclear magnetic resonance imaging," and "glioma" appeared most often, proving that of the several brain tumor types, most studies had focused on glioma. India, China, and the United States were among the highest collaborative countries in terms of both authors and institutes. The University of Toronto and Harvard Medical School had the highest number of affiliations with 132 and 87 publications, respectively.
    Matched MeSH terms: Bibliometrics
  2. Xue X, Rafiq M, Meng F, Peerzadah SA
    Work, 2023;76(3):991-1005.
    PMID: 37355920 DOI: 10.3233/WOR-220240
    BACKGROUND: Since the previous decade, researchers and academics have paid close attention to studying job embeddedness (JE), but the bibliometric examination of JE has not yet been explored.

    OBJECTIVE: This study aims to provide general information on the trends of the studies on JE as well as an overall perspective on the development of this topic by utilising a bibliometric analytic approach.

    METHOD: A bibliometric evaluation was conducted in the JE field since the first publication was documented in the Scopus database. The information retrieved examines 1572 JE papers from a variety of perspectives, including citation and publishing metrics.

    RESULTS: The research results pinpoint the most productive countries, universities, journals, authors, and JE articles. The study also classified the most important themes and offered some recommendations for further research.

    CONCLUSION: The study provided a snapshot of JE patterns and trajectories from 1993 to 2020, which can help academics and practitioners figure out the pattern and direction of future research. To the best of our knowledge, no other study examines the bibliographic data on JE and thus this work is one of the first contributions to the literature.

    Matched MeSH terms: Bibliometrics
  3. Peng S, Ying AF, Tai BC, Soo RA
    Transl Lung Cancer Res, 2020 Aug;9(4):1124-1137.
    PMID: 32953491 DOI: 10.21037/tlcr-20-246
    Background: We conducted a meta-analysis to assess the efficacy of immune checkpoint inhibitors (ICIs) (PD-1/L1 and CTLA-4 inhibitors) in first and subsequent lines in East Asians and non-East Asians.

    Methods: We searched PubMed-MEDLINE, Embase and Scopus, from inception to 20 Sep 2019, and reviewed major conferences' abstracts, for randomised controlled trials of ICI in advanced-stage NSCLC (Stage IIIB or IV) without EGFR mutation that reported hazard ratios (HRs) stratified by geographical region including the region "Asia" or "East Asia". The primary outcome measures were overall survival (OS) and progression-free survival (PFS). The pooled HR and its 95% confidence interval (CI) for OS and PFS in East Asians and non-East Asians were calculated using a random effect model and the difference compared using an interaction test.

    Results: A total of 5,465 patients from 7 randomised controlled trials involving CTLA-4 and/or PD-1/L1 inhibitors were included, with 1,740 (32%) East Asians and 3,725 (68%) non-East Asians. ICI was associated with an improvement in OS and PFS for both East Asian (OS HR, 0.74; 95% CI, 0.65-0.85; PFS HR, 0.56; 95% CI, 0.40-0.79) and non-East Asian patients (OS HR, 0.78; 95% CI, 0.72-0.85; PFS HR, 0.69; 95% CI, 0.56-0.85), with no significant difference between the two groups (Pinteraction=0.55 for OS; Pinteraction=0.33 for PFS). Subgroup analyses showed a statistically significant superior PFS (but not OS) for East Asians than non-East Asians in trials that used immune checkpoint inhibitor in the first-line treatment (Pinteraction=0.02). No significant regional difference was found in further subgroups of pure ICI and combination of ICI with chemotherapy.

    Conclusions: There is no significant difference in response to ICI between East Asians and non-East Asians with advanced stage NSCLC, and the statistically significant subgroup difference in PFS in the first line use of ICI may not be clinically significant.

    Matched MeSH terms: Bibliometrics
  4. Shrestha S, Danekhu K, Kc B, Palaian S, Ibrahim MIM
    Ther Adv Drug Saf, 2020;11:2042098620922480.
    PMID: 32587678 DOI: 10.1177/2042098620922480
    Background: Bibliometric analyses have been used previously to study the measures of quality and impact of research performed in several health-related areas such as adverse drug reactions (ADRs) and pharmacovigilance (PV), etc. This method can assess the research performance of publications quantitatively and statistically. There is no evidence of bibilometric studies analyzing ADRs and PV from Nepal. Therefore, the present study aimed to assess scientific output on ADRs and PV-related research activities in Nepal using a bibliometric analysis of publications from 2004 January to December 2018, that is, 15 years.

    Methods: A systematic search was conducted in PubMed, Web of Science, Google Scholar, Scopus and Nepal Journal Online (NepJOL) databases. 'Adverse Drug Reactions' or 'ADRs' or 'ADR' or 'Adverse drug reaction' or 'AE' or 'Adverse Event' or 'Drug-Induced Reaction' or 'Pharmacovigilance' or 'PV' and 'Nepal'. The search covered 15 years (January 2004 to December 2018) of study on ADRs and PV in Nepal. Only articles retrieved from databases were included, whereas published/unpublished drug bulletins, pharmacy newsletters and thesis were excluded. The articles thus retrieved were recorded, and thereafter analyzed. Word count code was used for the analysis of keywords used in the retrieved articles.

    Results: A total of 124 articles were retrieved, with the highest rate of publications in 2006 and 2007, with 16 papers each. Among the articles, 10 (8.1%) were published in Kathmandu University Medical Journal (KUMJ). Single papers were published in 38 different journals. Brief reports (1.6%), case reports (31.2%), case series (0.8%), education forums (0.8%), letters to the editor (5.6%), original research articles (41.9%), review articles (9.7%), short communications and short reports (8.1%) on ADRs and PV were recorded. Out of 124 papers, 52 (41.9%) were original research publications. The majority (74.1%) of research was done in the category of ADR incidence, types, prevention, and management, followed by policy and suggestions for strengthening national and regional pharmacovigilance centers of Nepal (14.5%).

    Conclusions: During the study years, there was an increase in scientific publications on drug safety. A total of 124 published articles were found during bibliometric analysis of ADRs and PV research activities in Nepal.

    Matched MeSH terms: Bibliometrics
  5. Mohamed-Hussein ZA, Harun S
    PMID: 19723303 DOI: 10.1186/1742-4682-6-18
    Polycystic ovary syndrome (PCOS) is a complex but frequently occurring endocrine abnormality. PCOS has become one of the leading causes of oligo-ovulatory infertility among premenopausal women. The definition of PCOS remains unclear because of the heterogeneity of this abnormality, but it is associated with insulin resistance, hyperandrogenism, obesity and dyslipidaemia. The main purpose of this study was to identify possible candidate genes involved in PCOS. Several genomic approaches, including linkage analysis and microarray analysis, have been used to look for candidate PCOS genes. To obtain a clearer view of the mechanism of PCOS, we have compiled data from microarray analyses. An extensive literature search identified seven published microarray analyses that utilized PCOS samples. These were published between the year of 2003 and 2007 and included analyses of ovary tissues as well as whole ovaries and theca cells. Although somewhat different methods were used, all the studies employed cDNA microarrays to compare the gene expression patterns of PCOS patients with those of healthy controls. These analyses identified more than a thousand genes whose expression was altered in PCOS patients. Most of the genes were found to be involved in gene and protein expression, cell signaling and metabolism. We have classified all of the 1081 identified genes as coding for either known or unknown proteins. Cytoscape 2.6.1 was used to build a network of protein and then to analyze it. This protein network consists of 504 protein nodes and 1408 interactions among those proteins. One hypothetical protein in the PCOS network was postulated to be involved in the cell cycle. BiNGO was used to identify the three main ontologies in the protein network: molecular functions, biological processes and cellular components. This gene ontology analysis identified a number of ontologies and genes likely to be involved in the complex mechanism of PCOS. These include the insulin receptor signaling pathway, steroid biosynthesis, and the regulation of gonadotropin secretion among others.
    Matched MeSH terms: Bibliometrics
  6. Pazikadin AR, Rifai D, Ali K, Malik MZ, Abdalla AN, Faraj MA
    Sci Total Environ, 2020 May 01;715:136848.
    PMID: 32040994 DOI: 10.1016/j.scitotenv.2020.136848
    The increased demand for solar renewable energy sources has created recent interest in the economic and technical issues related to the integration of Photovoltaic (PV) into the grid. Solar photovoltaic power generation forecasting is a crucial aspect of ensuring optimum grid control and power solar plant design. Accurate forecasting provides significant information to grid operators and power system designers in generating an optimal solar photovoltaic plant and to manage the power of demand and supply. This paper presents an extensive review on the implementation of Artificial Neural Networks (ANN) on solar power generation forecasting. The instrument used to measure the solar irradiance is analysed and discussed, specifically on studies that were published from February 1st, 2014 to February 1st, 2019. The selected papers were obtained from five major databases, namely, Direct Science, IEEE Xplore, Google Scholar, MDPI, and Scopus. The results of the review demonstrate the increased application of ANN on solar power generation forecasting. The hybrid system of ANN produces accurate results compared to individual models. The review also revealed that improvement forecasting accuracy can be achieved through proper handling and calibration of the solar irradiance instrument. This finding indicates that improvements in solar forecasting accuracy can be increased by reducing instrument errors that measure the weather parameter.
    Matched MeSH terms: Bibliometrics
  7. Khoo PLZ, Poon JS, Tan GJS, Yahya A, Chan KMJ
    Med J Malaysia, 2020 11;75(6):722-730.
    PMID: 33219184
    INTRODUCTION: Heart valve disease comprises a cluster of conditions affecting the aortic, mitral, pulmonary and tricuspid valves. This paper reviews all the research on heart valve disease in Malaysia published between the years 2000- 2016.

    METHODS: The methodology was based on the search process described in the paper, "Bibliography of clinical research in Malaysia: methods and brief results". The search databases included PubMed, Scopus and several Malaysian journals such as MyJurnal and UKM Journal Repository, by using the following keywords: (heart valve disease OR infective endocarditis OR rheumatic heart disease) and (Malaysia).

    RESULTS: In all 94 papers were identified of which 39 papers were selected and reviewed on the basis of their relevance. The local studies contributed to the knowledge and understanding of the epidemiology, aetiology, pathophysiology, clinical presentations, investigations, treatment, and outcomes of heart valve disease in the country.

    DISCUSSION: The clinical relevance of the studies performed in the country is discussed along with recommendations for future research.

    Matched MeSH terms: Bibliometrics
  8. Abrizah A
    Malays J Med Sci, 2016 Mar;23(2):1-5.
    PMID: 27547108
    Indexation status matters for scholarly journal prestige and trust. The performance of Malaysian medical journals at the international level is gauged through the global citation databases, and at the national level through MyCite, a national citation indexing system. The performance indicators include journals publication productivity, the citations they garner, and their scores on other bibliometric indices such as journal impact factor (IF), and h-index. There is a growing consciousness amongst journal editorials to improve quality and increase chances of getting indexed in MyCite. Although it is now possible to gauge journal performance within Malaysia, through MyCite, the government and public are concerned about journal performance in international databases. Knowing the performance of journals in MyCite will help the editors and publishers to improve the quality and visibility of Malaysian journals and strategise to bring their journal to the international level of indexation.
    Matched MeSH terms: Bibliometrics
  9. Zin NNINM, Rahimi WNAWM, Bakar NA
    Malays J Med Sci, 2019 Nov;26(6):19-34.
    PMID: 31908584 MyJurnal DOI: 10.21315/mjms2019.26.6.3
    Parasitic diseases represent one of the causes for significant global economic, environmental and public health impacts. The efficacy of currently available anti-parasitic drugs has been threatened by the emergence of single drug- or multidrug-resistant parasite populations, vector threats and high cost of drug development. Therefore, the discovery of more potent anti-parasitic drugs coming from medicinal plants such as Quercus infectoria is seen as a major approach to tackle the problem. A systematic review was conducted to assess the efficacy of Q. infectoria in treating parasitic diseases both in vitro and in vivo due to the lack of such reviews on the anti-parasitic activities of this plant. This review consisted of intensive searches from three databases including PubMed, Science Direct and Scopus. Articles were selected throughout the years, limited to English language and fully documented. A total of 454 potential articles were identified, but only four articles were accepted to be evaluated based on inclusion and exclusion criteria. Although there were insufficient pieces of evidence to account for the efficacy of Q. infectoria against the parasites, this plant appears to have anti-leishmanial, anti-blastocystis and anti-amoebic activities. More studies in vitro and in vivo are warranted to further validate the anti-parasitic efficacy of Q. infectoria.
    Matched MeSH terms: Bibliometrics
  10. López-Muñoz F, Povedano-Montero FJ, Chee KY, Shen WW, Fernández-Martín P, García-Pacios J, et al.
    Malays J Med Sci, 2018 May;25(3):40-55.
    PMID: 30899186 DOI: 10.21315/mjms2018.25.3.5
    Objective: We carried out a bibliometric study on the scientific papers related to second-generation antipsychotic drugs (SGAs) in Malaysia.

    Methods: With the SCOPUS database, we selected those documents made in Malaysia whose title included descriptors related to SGAs. We applied bibliometric indicators of production and dispersion, as Price's law and Bradford's law, respectively. We also calculated the participation index of the different countries. The bibliometric data were also been correlated with some social and health data from Malaysia (total per capita expenditure on health and gross domestic expenditure on R&D).

    Results: We found 105 original documents published between 2004 and 2016. Our results fulfilled Price's law, with scientific production on SGAs showing exponential growth (r = 0.401, vs. r = 0.260 after linear adjustment). The drugs most studied are olanzapine (9 documents), clozapine (7), and risperidone (7). Division into Bradford zones yields a nucleus occupied by the Medical Journal of Malaysia, Singapore Medical Journal, Australian and New Zealand Journal of Psychiatry, and Pharmacogenomics. Totally, 63 different journals were used, but only one in the top four journals had an impact factor being greater than 3.

    Conclusion: The publications on SGAs in Malaysia have undergone exponential growth, without evidence a saturation point.

    Matched MeSH terms: Bibliometrics
  11. Jafari H, Heidari M, Heidari S, Sayfouri N
    Malays J Med Sci, 2020 May;27(3):20-33.
    PMID: 32684803 DOI: 10.21315/mjms2020.27.3.3
    Natural disasters have multiple psychological effects including increased risk of suicide among victims. Reviews have shown that suicidal behaviours can be an aftermath of natural disasters. The present study attempted to identify the suicide-related risk factors after natural disasters. This study was a systematic review probing English language articles related to suicide and its risk factors after natural disasters and published between 1 January 1990 and 27 September 2018 in Google Scholar, PubMed, Web of Science, Science Direct, Scopus, ProQuest and Cumulative Index of Nursing and Allied Health Literature (CINAHL) databases. After reviewing and screening the collected studies by means of specific criteria, only 30 studies were qualified to enter the survey. It was found that most of these studies had investigated suicide after earthquake. Gender, age, serious mental disorders, depression, post-traumatic stress disorder (PTSD), loss of family members, low economic status, low social support, and injury to the person and the family/relatives were identified as the most important risk factors for suicide after natural disasters. Women, adolescents, elderly, people with depression and PTSD, those suffer from low social support and parentless people were found to be among the ones being highly vulnerable to suicide after natural disasters. There is, therefore, a need for providing psychosocial support for these people after such disasters.
    Matched MeSH terms: Bibliometrics
  12. Rashid NH, Zaghi S, Scapuccin M, Camacho M, Certal V, Capasso R
    Laryngoscope, 2021 02;131(2):440-447.
    PMID: 32333683 DOI: 10.1002/lary.28663
    OBJECTIVES: Intermittent hypoxemia is a risk factor for developing complications in obstructive sleep apnea (OSA) patients. The objective of this systematic review was to identify articles evaluating the accuracy of the oxygen desaturation index (ODI) as compared with the apnea-hypopnea index (AHI) and then provide possible values to use as a cutoff for diagnosing adult OSA.

    STUDY DESIGN: Systematic Review of Literature.

    METHODS: PubMed, the Cochrane Library, and SCOPUS databases were searched through November 2019.

    RESULTS: Eight studies (1,924 patients) met criteria (age range: 28-70.9 years, body mass index range: 21.9-37 kg/m2 , and AHI range: 0.5-62 events/hour). Five studies compared ODI and AHI simultaneously, and three had a week to months between assessments. Sensitivities ranged from 32% to 98.5%, whereas specificities ranged from 47.7% to 98%. Significant heterogeneity was present; however, for studies reporting data for a 4% ODI ≥ 15 events/hour, the specificity for diagnosing OSA ranged from 75% to 98%, and only one study reported the positive predictive value, which was 97%. Direct ODI and AHI comparisons were not made because of different hypopnea scoring, different oxygen desaturation categories, and different criteria for grading OSA severity.

    CONCLUSION: Significant heterogeneity exists in studies comparing ODI and AHI. Based on currently published studies, consideration should be given for diagnosing adult OSA with a 4% ODI of ≥ 15 events/hour and for recommending further evaluation for diagnosing OSA with a 4% ODI ≥ 10 events/hour. Screening with oximetry may be indicated for the detection of OSA in select patients. Further study is needed before a definitive recommendation can be made. Laryngoscope, 131:440-447, 2021.

    Matched MeSH terms: Bibliometrics
  13. Khaw SM, Li SC, Mohd Tahir NA
    J Asthma, 2021 Feb 08.
    PMID: 33435775 DOI: 10.1080/02770903.2021.1875483
    Objective: This systematic review aimed to evaluate the cost-effectiveness of medication adherence-improving interventions in patients with asthma.Data source: Search engines including PubMed, Scopus and EBSCOhost were used to locate relevant studies from the inception of the databases to 19 October 2018. Drummond's checklist was used to appraise the quality of the economic evaluation.Study selection: Economic studies evaluating the cost-effectiveness of medication adherence enhancing interventions for asthmatic patients were selected. Relevant information including study characteristics, quality assessment, health outcomes and costs of intervention were narratively summarized. The primary outcome of interest was cost-effectiveness (CE) values and the secondary outcomes were costs, medication adherence and clinical consequences.Results: Twenty studies including 11 randomized controlled trials, 6 comparative studies and 3 modeled studies using Markov models were included in the review. Among these, 15 studies evaluated an educational intervention with 13 showing cost-effectiveness in improving health outcomes. The CE of an internet-based intervention showed similar results between groups, while 3 studies of simplified drug regimens and adding a technology-based training program achieved the desirable cost-effectiveness outcome.Conclusion: Overall, our results would support that all of the identified medication adherence-enhancing interventions were cost-effective considering the increased adherence rate, improved clinical effectiveness and the reduced costs of asthma care. However, it was not possible to identify the most cost-effective intervention. More economic studies with sound methodological conduct will be needed to provide stronger evidence in deciding the best approach to improve medication adherence.
    Matched MeSH terms: Bibliometrics
  14. Maina MB, Mohammed YG, Bukar AM, Ahmad U, Tijjani Salihu A, Ibrahim HA, et al.
    Eur J Neurosci, 2019 06;49(12):1544-1551.
    PMID: 30758873 DOI: 10.1111/ejn.14372
    Of the 572 neuroscience-related studies published in Nigerian from 1996 to 2017, <5% used state-of-the-art techniques, none used transgenic models, and only one study was published in a top-tier journal.
    Matched MeSH terms: Bibliometrics*
  15. Yahya N, Manan HA
    Support Care Cancer, 2021 Jun;29(6):3035-3047.
    PMID: 33040284 DOI: 10.1007/s00520-020-05808-z
    BACKGROUND: Proton therapy (PT), frequently utilised to treat paediatric brain tumour (PBT) patients, eliminates exit dose and minimises dose to healthy tissues that theoretically can mitigate treatment-related effects including cognitive deficits. As clinical outcome data are emerging, we aimed to systematically review current evidence of cognitive changes following PT of PBT.

    MATERIALS AND METHODS: We searched PubMed and Scopus electronic databases to identify eligible reports on cognitive changes following PT of PBT according to PRISMA guidelines. Reports were extracted for information on demographics and cognitive outcomes. Then, they were systematically reviewed based on three themes: (1) comparison with photon therapy, (2) comparison with baseline cognitive measures, to population normative mean or radiotherapy-naïve PBT patients and (3) effects of dose distribution to cognition.

    RESULTS: Thirteen reports (median size (range): 70 (12-144)) were included. Four reports compared the cognitive outcome between PBT patients treated with proton to photon therapy and nine compared with baseline/normative mean/radiotherapy naïve from which two reported the effects of dose distribution. Reports found significantly poorer cognitive outcome among patients treated with photon therapy compared with proton therapy especially in general cognition and working memory. Craniospinal irradiation (CSI) was consistently associated with poorer cognitive outcome while focal therapy was associated with minor cognitive change/difference. In limited reports available, higher doses to the hippocampus and temporal lobes were implicated to larger cognitive change.

    CONCLUSION: Available evidence suggests that PT causes less cognitive deficits compared with photon therapy. Children who underwent focal therapy with proton were consistently shown to have low risk of cognitive deficit suggesting the need for future studies to separate them from CSI. Evidence on the effect of dose distribution to cognition in PT is yet to mature.

    Matched MeSH terms: Bibliometrics
  16. Hassan MNFB, Yazid MD, Yunus MHM, Chowdhury SR, Lokanathan Y, Idrus RBH, et al.
    Stem Cells Int, 2020;2020:9529465.
    PMID: 32733574 DOI: 10.1155/2020/9529465
    Mesenchymal stem cells (MSCs) are multipotent stem cells with strong immunosuppressive property that renders them an attractive source of cells for cell therapy. MSCs have been studied in multiple clinical trials to treat liver diseases, peripheral nerve damage, graft-versus-host disease, autoimmune diseases, diabetes mellitus, and cardiovascular damage. Millions to hundred millions of MSCs are required per patient depending on the disease, route of administration, frequency of administration, and patient body weight. Multiple large-scale cell expansion strategies have been described in the literature to fetch the cell quantity required for the therapy. In this review, bioprocessing strategies for large-scale expansion of MSCs were systematically reviewed and discussed. The literature search in Medline and Scopus databases identified 26 articles that met the inclusion criteria and were included in this review. These articles described the large-scale expansion of 7 different sources of MSCs using 4 different bioprocessing strategies, i.e., bioreactor, spinner flask, roller bottle, and multilayered flask. The bioreactor, spinner flask, and multilayered flask were more commonly used to upscale the MSCs compared to the roller bottle. Generally, a higher expansion ratio was achieved with the bioreactor and multilayered flask. Importantly, regardless of the bioprocessing strategies, the expanded MSCs were able to maintain its phenotype and potency. In summary, the bioreactor, spinner flask, roller bottle, and multilayered flask can be used for large-scale expansion of MSCs without compromising the cell quality.
    Matched MeSH terms: Bibliometrics
  17. Basri R, Issrani R, Hua Gan S, Prabhu N, Khursheed Alam M
    Saudi Pharm J, 2021 Mar;29(3):264-268.
    PMID: 33981175 DOI: 10.1016/j.jsps.2021.02.002
    Stroke is a key cerebrovascular disease that is related to high morbidity and mortality in the globe. The Kingdom of Saudi Arabia (KSA) is not an exception where stroke is fast developing into a serious challenge due to the high mortality rate. Additionally, stroke presents a tremendous economic burden and has a devastating effect on the quality of lives of individuals. The number of stroke cases are increasing yearly, thus posing a major challenge to the health care system. Therefore, it is crucial to implement primary and secondary prevention strategies in the KSA. Nevertheless, as compared with developed countries, information on the prevalence, socio-demographic properties and prevention of stroke remains scarce that could be attributed to the shortage of research conducted in this specified region. The review is written to address the various aspects of stroke in the KSA, based on current literatures search using PubMed, Scopus, Web of Science and Google Scholar databases, to identify studies published since inception to Dec 2020.
    Matched MeSH terms: Bibliometrics
  18. Lum PT, Sekar M, Gan SH, Pandy V, Bonam SR
    Saudi J Biol Sci, 2021 Jan;28(1):917-927.
    PMID: 33424383 DOI: 10.1016/j.sjbs.2020.11.037
    Memory impairment (MI) is one of the predominant criteria generally used to identify schizophrenia, dementia and amnesia that are associated with neurodegenerative disorders by evaluating patient's cognitive symptoms. To date, there is no available treatment that can completely mitigate MI. Currently, there is a trend in recent investigations towards symptomatic therapy approaches using a variety of natural compounds. Mangiferin is one of them that have been investigated extensively. Mangiferin is a naturally occurring potent glucoxilxanthone and is mainly isolated from the Mangifera indica (Mango) plant. This review is aimed at providing a comprehensive overview on the efficacy of mangiferin on MI, based on in-vivo animal studies. After screening through articles identified from Scopus and PubMed based on the inclusion and exclusion criteria, a total of 11 articles between 2009 and 2019 were included. The minimum and maximum dose of mangiferin were 10 and 200 mg/kg respectively and administered over the period of 12-154 days. The results of 11 articles showed that mangiferin effectively improved spatial recognition, episodic aversive events, short- and long-term memories primarily occurring via its antioxidant and anti-inflammatory effects. The outcomes of the review revealed that mangiferin improves memory and cognitive impairment in different animal models, indicating that it has potential preventive and therapeutic roles in MI.
    Matched MeSH terms: Bibliometrics
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