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Speech by Dato' Paduka Dr Ruby binti Abdul Majeed, President of the Academy of Family Physicians of Malaysia on the occasion of the Convocation and Launching of the joint training programme between UPM and the Academy of Family Physicians of Malaysia

Abdul Majeed R

Family Physician, 2001;11(3):v-vi.
Fulltext Fake news stance detection using selective features and FakeNET

Aljrees T, Cheng X, Ahmed MM, Umer M, Majeed R, Alnowaiser K, et al.

PLoS One, 2023;18(7):e0287298.
PMID: 37523404 DOI: 10.1371/journal.pone.0287298

The proliferation of fake news has severe effects on society and individuals on multiple fronts. With fast-paced online content generation, has come the challenging problem of fake news content. Consequently, automated systems to make a timely judgment of fake news have become the need of the hour. The performance of such systems heavily relies on feature engineering and requires an appropriate feature set to increase performance and robustness. In this context, this study employs two methods for reducing the number of feature dimensions including Chi-square and principal component analysis (PCA). These methods are employed with a hybrid neural network architecture of convolutional neural network (CNN) and long short-term memory (LSTM) model called FakeNET. The use of PCA and Chi-square aims at utilizing appropriate feature vectors for better performance and lower computational complexity. A multi-class dataset is used comprising 'agree', 'disagree', 'discuss', and 'unrelated' classes obtained from the Fake News Challenges (FNC) website. Further contextual features for identifying bogus news are obtained through PCA and Chi-Square, which are given nonlinear characteristics. The purpose of this study is to locate the article's perspective concerning the headline. The proposed approach yields gains of 0.04 in accuracy and 0.20 in the F1 score, respectively. As per the experimental results, PCA achieves a higher accuracy of 0.978 than both Chi-square and state-of-the-art approaches.
Fulltext Prevalence of type-2 diabetes and prediabetes in Malaysia: A systematic review and meta-analysis

Akhtar S, Nasir JA, Ali A, Asghar M, Majeed R, Sarwar A

PLoS One, 2022;17(1):e0263139.
PMID: 35085366 DOI: 10.1371/journal.pone.0263139

OBJECTIVE: The main purpose of this study was to investigate the pooled prevalence of prediabetes and type-2 diabetes in the general population of Malaysia.
METHOD: We systematically searched Medline (PubMed), Embase, Web of Science, Google Scholar and Malaysian Journals Online to identify relevant studies published between January 1, 1995, and November 30, 2021, on the prevalence of type-2 diabetes in Malaysia. Random-effects meta-analyses were used to obtain the pooled prevalence of diabetes and prediabetes. Subgroup analyses also used to analyze to the potential sources of heterogeneity. Meta- regression was carried to assess associations between study characteristics and diabetes prevalence. Three independent authors selected studies and conducted the quality assessment. The quality of the final evidence was evaluated using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach.
RESULTS: Of 2689 potentially relevant studies, 786 titles and abstract were screened. Fifteen studies with 103063 individuals were eligible to be included in the meta-analyses. The pooled prevalence of diabetes was 14.39% (95% CI, 12.51%-16.38%; I2 = 98.4%, 103063 participants from 15 studies). The pooled prevalence of prediabetes was 11.62% (95% CI, 7.17%-16.97%; I2 = 99.8, 88702 participants from 9 studies). The subgroup analysis showed statistically significant differences in diabetes prevalence by the ethical sub-populations with highest in Indians (25.10%; 95% CI, 20.19%-30.35%), followed by Malays (15.25%; 95% CI, 11.59%-19.29%), Chinese (12.87%; 95% CI, 9.73%-16.37%), Bumiputeras (8.62%; 95% CI, 5.41%-12.47%) and others (6.91%; 95% CI, 5.71%-8.19%). There was no evidence of publication bias, although heterogeneity was high (I2 ranged from 0.00% to 99·8%). The quality of evidence based on GRADE was low.
CONCLUSIONS: Results of this study suggest that a high prevalence of prediabetes and diabetes in Malaysia. The diabetes prevalence is associated with time period and increasing age. The Malaysian government should develop a comprehensive approach and strategy to enhance diabetes awareness, control, prevention, and treatment.
TRIAL REGISTRATION: Trial registration no. PROSPERO CRD42021255894; https://clinicaltrials.gov/.
Fulltext Association of the Antidepressants and the Periodontal Status: An Original Research

Majeed R, Sathi KV, Patil RS, Singh N, Duseja S, Kondreddy K

J Pharm Bioallied Sci, 2024 Feb;16(Suppl 1):S215-S218.
PMID: 38595612 DOI: 10.4103/jpbs.jpbs_464_23

Antidepressants have anti-inflammatory effects and boost immunity, and dentists should be aware. This case-control study included only those patients who consented to take part and had a ham-d score of at least 16 and a diagnosis of moderate-to-severe depression. Inclusion criteria included adults, those experiencing moderate to severe depression, taking fluoxetine or venlafaxine, and those with twenty or more teeth. Exclusion criteria included tobacco chewers, smokers, women expecting or nursing, periodontal treatment, antibiotics, anti-inflammatory medication, or vitamin/nutritional supplements. Patients who had had surgery or other therapy were excluded from the study. Three groups of patients were created: Control, venlafaxine, and fluoxetine. A periodontist assisted in the dental examination, and indices were observed. The analysis was done using Statistical Package for the Social Sciences (SPSS) version 24.0. Number, percentage, mean, and standard deviation were used to present the values. Results showed that antidepressants may be a risk factor for periodontal health, with increased periodontal parameters, and concluded that It is crucial to frequently check the periodontal health of depressed people using fluoxetine or venlafaxine since these drugs put good periodontal tissues at risk.
Physicochemical, mechanical and biological properties of nano-calcium silicate-based cements: a systematic review

Majeed R, Elnawawy HM, Kutty MG, Yahya NA, Azami NH, Abu Kasim NH, et al.

Odontology, 2023 Oct;111(4):759-776.
PMID: 36864211 DOI: 10.1007/s10266-023-00786-0

This systematic review evaluated the effects of nano-sized cement particles on the properties of calcium silicate-based cements (CSCs). Using defined keywords, a literature search was conducted to identify studies that investigated properties of nano-calcium silicate-based cements (NCSCs). A total of 17 studies fulfilled the inclusion criteria. Results indicated that NCSC formulations have favourable physical (setting time, pH and solubility), mechanical (push out bond strength, compressive strength and indentation hardness) and biological (bone regeneration and foreign body reaction) properties compared with commonly used CSCs. However, the characterization and verification for the nano-particle size of NCSCs were deficient in some studies. Furthermore, the nanosizing was not limited to the cement particles and a number of additives were present. In conclusion, the evidence available for the properties of CSC particles in the nano-range is deficient-such properties could be a result of additives which may have enhanced the properties of the material.
Correction: Physicochemical, mechanical and biological properties of nano-calcium silicate-based cements: a systematic review

Majeed R, Elnawawy HM, Kutty MG, Yahya NA, Azami NH, Abu Kasim NH, et al.

Odontology, 2023 Oct;111(4):777.
PMID: 37147494 DOI: 10.1007/s10266-023-00818-9