Browse publications by year: 2021

  1. Liu KT, Wan Rosli WR, Yusuf A, Lean Keng S
    Belitung Nurs J, 2021;7(6):493-499.
    PMID: 37497287 DOI: 10.33546/bnj.1802
    BACKGROUND: Breast cancer genetic (BRCA) testing for cancer susceptibility is an emerging technology in medicine.

    OBJECTIVE: This study assessed the knowledge and attitude of nurses regarding BRCA genetic testing in a tertiary teaching hospital in Malaysia.

    METHODS: A descriptive cross-sectional study was conducted among 150 nurses using a simple random sampling technique in a tertiary teaching hospital in northeast peninsular Malaysia. Data were collected using a self-administered questionnaire consisting of socio-demographic data, assessing nurses' knowledge and attitude regarding BRCA genetic testing. Fisher exact test analysis was used to determine the association between socio-demographic characteristics with knowledge and attitude level. In addition, the overall knowledge and attitude were analysed using the sum score of each outcome based on Bloom's cut-off point.

    RESULTS: Of the 150 nurses, 66.7% had high knowledge level about BRCA genetic testing, and 58% were positive towards genetic testing. The participants' mean age was 28.9 years (SD = 6.70). Years of working experience (p = 0.014) significantly influenced knowledge level on BRCA genetic testing, whereas speciality working experience (p <0.001) significantly influenced BRCA genetic testing attitudes.

    CONCLUSIONS: The results show that most nurses have adequate knowledge of BRCA genetic testing. However, their attitude could be termed negative. Therefore, targeted education programs on BRCA genetic testing and risk are needed to improve the knowledge and attitude of nurses and, ultimately, can educate the women and increase health-seeking behaviour among eligible women.

  2. Mohd Fadzli NFA, Mohd Rasani AA, Keng SL
    Belitung Nurs J, 2021;7(6):529-534.
    PMID: 37497291 DOI: 10.33546/bnj.1804
    BACKGROUND: Patients with chronic kidney disease (CKD) spend substantial money on hemodialysis (HD) treatment. The growing intersection between socioeconomic status and financial burden represents an emerging challenge to the CKD community.

    OBJECTIVE: This study assessed the financial burden of HD treatment on patients at a Malaysian tertiary teaching hospital.

    METHODS: A cross-sectional study was carried out in the HD unit at a Malaysian tertiary teaching hospital from January to February 2021. Patients undergoing HD were purposively selected. A self-administered questionnaire was used to collect data on socio-demographic, finances, the patient's health history, treatment costs, and healthcare utilization. In addition, Pearson Chi-Square tests were used to analyze the data.

    RESULTS: A total of 100 patients receiving HD treatment were included in the study. The mean age was 62.06 years (SD = 27.50), with 52% reporting moderate financial burdens. The financial burden was associated with employment status, salary, and income class among HD patients (p <0.05).

    CONCLUSION: Evidence showed a large proportion of Malaysian patients receiving HD treatment came from the B40 income bracket. The findings indicate that financial burdens can impact HD patients and are related to employment status, salary, and income class. Therefore, the ability to identify HD patients' financial needs is critical in nursing practice.

  3. Lee SY, Soh KL, Japar S, Ong SL, Soh KG, Tsujita Y
    Belitung Nurs J, 2021;7(5):361-369.
    PMID: 37496510 DOI: 10.33546/bnj.1682
    BACKGROUND: The transition process of migration to work abroad can be challenging and, depending on how it is handled, can impact the job satisfaction level of these foreign-educated nurses. A clear understanding of migrant nurses' job satisfaction is critical for effective translation of nursing practice across the health systems and cultures.

    OBJECTIVE: This study examined the job satisfaction of the foreign-educated nurses in Malaysia, which includes the job satisfaction dimensions and the significant difference between sociodemographic status and job satisfaction.

    METHODS: A cross-sectional survey of 102 foreign-educated nurses working in private hospitals, clinics, hemodialysis centers, nursing homes, and private homes in Malaysia was conducted from September 2017 to March 2018. Data were collected using a structured questionnaire. Descriptive statistics, Mann-Whitney U, and Kruskal Wallis tests were used to analyze the data.

    RESULTS: The study revealed that the participants had a median satisfaction score of 22 (IQR = 19 to 24). Serving the sick and needy and participants' self-respect were the highest satisfaction dimensions among the participants (Median = 3, IQR = 3 to 3). Moreover, the job satisfaction was significantly higher for registered foreign-educated nurses (mean rank = 62.5) than for unregistered foreign-educated nurses (mean rank = 48.65) when working in other countries (p = 0.02). Indian nurses (mean rank = 60.36) also expressed higher satisfaction in terms of working in other countries than Filipino nurses (mean rank = 46.88; p = 0.02). In addition, positive relationships with colleagues and superiors led to higher satisfaction among Indian nurses (mean rank = 61.02) than among Filipino nurses (mean rank = 47.24; p = 0.04). The job satisfaction of male foreign-educated nurses was significantly higher than their female counterparts in terms of self-respect, relationship with fellow nurses and superiors, working in other countries, career development, and ease of finding employment (p < 0.05).

    CONCLUSION: The overall job satisfaction among the foreign-educated nurses in Malaysia is high, mainly when serving the sick and needy, and their degree of self-respect. Understanding job satisfaction among foreign-educated nurses in Malaysia enables the management team to develop effective strategies for addressing nursing shortages and improving the quality of patient care.

  4. Teo K, Yong CW, Muhamad F, Mohafez H, Hasikin K, Xia K, et al.
    J Healthc Eng, 2021;2021:9208138.
    PMID: 34765104 DOI: 10.1155/2021/9208138
    Quality of care data has gained transparency captured through various measurements and reporting. Readmission measure is especially related to unfavorable patient outcomes that directly bends the curve of healthcare cost. Under the Hospital Readmission Reduction Program, payments to hospitals were reduced for those with excessive 30-day rehospitalization rates. These penalties have intensified efforts from hospital stakeholders to implement strategies to reduce readmission rates. One of the key strategies is the deployment of predictive analytics stratified by patient population. The recent research in readmission model is focused on making its prediction more accurate. As cost-saving improvements through artificial intelligent-based health solutions are expected, the broad economic impact of such digital tool remains unknown. Meanwhile, reducing readmission rate is associated with increased operating expenses due to targeted interventions. The increase in operating margin can surpass native readmission cost. In this paper, we propose a quantized evaluation metric to provide a methodological mean in assessing whether a predictive model represents cost-effective way of delivering healthcare. Herein, we evaluate the impact machine learning has had on transitional care and readmission with proposed metric. The final model was estimated to produce net healthcare savings at over $1 million given a 50% rate of successfully preventing a readmission.
    MeSH terms: Cost-Benefit Analysis; Hospitals*; Humans; Patient Readmission*; Health Care Costs
  5. Chandran DS, Muthukrishnan SP, Barman SM, Peltonen LM, Ghosh S, Sharma R, et al.
    Indian J Med Res, 2021 Apr;154(4):553-557.
    PMID: 35435340 DOI: 10.4103/ijmr.IJMR_757_21
    MeSH terms: Education, Medical*; Humans; India
  6. Hamzah NA, Razak NAA, Karim MSA, Salleh SZ
    Acta Bioeng Biomech, 2021;23(4):173-182.
    PMID: 37341100
    PURPOSE: This study aimed to examine the accuracy and validity of the Biosculptor's Bioscanner shape capturing system as a portable measuring device by analysing the changes in transtibial residual limb circumference parameters while walking. Assessment on an amputee could also allow for the clinical usability of the digital scanner to be studied.

    METHODS: To verify the accuracy of the system, the Bioscanner method was compared to the widely used standard anthropometric manual measurement technique (i.e., tape measure). One transtibial prosthetic user was recruited to conduct a walking activity at a normal walking pace for 5 to 15 minutes. Circumferential profiles of the participant were obtained digitally and manually during 2-5 minutes of resting walking intervals. The mean differences between the two methods were compared and percentage differences were calculated. The means were used to calculate the standard error measurement (SEM) and the 95% confidence intervals. Study of the limit of agreement between the two method was also used to validate the accuracy of Bioscanner.

    RESULTS: The findings showed that both measurements gave a general comparable linear pattern. The averaged results from both methods resulted in only small distinctive differences especially at circumference near the mid-patella tendon. Similarly, the pressure-sensitive areas of the limb resulted in only an average of 2.28% differences between the two measurement techniques. The system showed high reliability and SEM with <1 of 95% CI values and repeatability study gave ICC >0.9.

    CONCLUSIONS: Bioscanner appeared to be comparable with the standard manual method. The Biosculptor system provides the portability, fast, reliable, and high accuracy measurements of the transtibial residual limb circumference, thus, it can be considered as a valuable tool for daily measurement of amputee's residual limb and pre-prosthetic training.

  7. Wang Q, Liang Z, Li F, Lee J, Low LE, Ling D
    Exploration (Beijing), 2021 Oct;1(2):20210009.
    PMID: 37323214 DOI: 10.1002/EXP.20210009
    Contrast agents can improve the sensitivity and resolution of magnetic resonance imaging (MRI) by accelerating the relaxation times of surrounding water protons. The MRI performances of contrast agents are closely related to their structural characteristics, including size, shape, surface modification, and so on. Recently, dynamically switchable MRI contrast agents that can undergo structural changes and imaging functional activations upon reaching the disease microenvironment have been developed for high performance MRI. This perspective highlights the ingenious design, controllable structural transformation, and tunable imaging property of dynamic MRI contrast agents. Additionally, the current challenges of the dynamic MRI contrast agents for medical diagnosis are discussed. Furthermore, the future integration of high-resolution ultra-high field MRI technology and cutting-edge dynamic MRI contrast agents for non-invasive histopathological level accurate detection of microscopic lesions are commented.
  8. Alias NA, Mustafa WA, Jamlos MA, Alkhayyat A, Rahman KSA, Q Malik R
    Oncol Res, 2021;29(5):365-376.
    PMID: 37305159 DOI: 10.32604/or.2022.025897
    Cervical cancer is a prevalent and deadly cancer that affects women all over the world. It affects about 0.5 million women anually and results in over 0.3 million fatalities. Diagnosis of this cancer was previously done manually, which could result in false positives or negatives. The researchers are still contemplating how to detect cervical cancer automatically and how to evaluate Pap smear images. Hence, this paper has reviewed several detection methods from the previous researches that has been done before. This paper reviews pre-processing, detection method framework for nucleus detection, and analysis performance of the method selected. There are four methods based on a reviewed technique from previous studies that have been running through the experimental procedure using Matlab, and the dataset used is established Herlev Dataset. The results show that the highest performance assessment metric values obtain from Method 1: Thresholding and Trace region boundaries in a binary image with the values of precision 1.0, sensitivity 98.77%, specificity 98.76%, accuracy 98.77% and PSNR 25.74% for a single type of cell. Meanwhile, the average values of precision were 0.99, sensitivity 90.71%, specificity 96.55%, accuracy 92.91% and PSNR 16.22%. The experimental results are then compared to the existing methods from previous studies. They show that the improvement method is able to detect the nucleus of the cell with higher performance assessment values. On the other hand, the majority of current approaches can be used with either a single or a large number of cervical cancer smear images. This study might persuade other researchers to recognize the value of some of the existing detection techniques and offer a strong approach for developing and implementing new solutions.
    MeSH terms: Female; Humans
  9. Hayati F, Dzulkarnaen Zakaria A, Azizan N, Kadir F, Subramaniam S
    Turk J Surg, 2021 Jun;37(2):195-196.
    PMID: 37275184 DOI: 10.47717/turkjsurg.2021.5115
  10. Jha N, Singh N, Bajracharya O, Manandhar T, Devkota P, Kafle S, et al.
    Med Pharm Rep, 2021 Oct;94(4):440-448.
    PMID: 36105501 DOI: 10.15386/mpr-1928
    BACKGROUND: Coronavirus disease-19 (COVID-19) has become a major global problem. There is an urgent need to measure the knowledge of the disease among health science students who can play an active role in pandemic control. The research was conducted to examine COVID-19 knowledge among medical and dental students in a Nepalese medical college, compare the knowledge to other studies in the literature and identify educational needs of students who may be involved in treating COVID-19 patients.

    METHODS: The cross-sectional study was performed during the third week of June among first to final year medical and dental students. As the country was in lockdown, a structured online questionnaire was used. The responses obtained were entered into IBM SPSS Statistics for Windows and the normality of the data checked using one-sample Kolmogorov Smirnov test. The demographic parameters were tabulated, and total score compared among different subgroups of participants. The frequency of different measures mentioned by respondents were also noted.

    RESULTS: More than half of the participants were females (59.6%). Nearly half 282 (49.8%) belonged to age group 21-23 years. The majority 415 (73.5%) were undergraduate medical and 150 (26.5%) were undergraduate dental students. The largest number of respondents, 140 (24.9%), were from the second year of study and 344 (60.9%) were from urban areas. The median total score was 20 and the interquartile range 4. The maximum possible score was 29. The scores among students belonging to different years of study were significantly different (p=0.006). Total scores were not significantly different among other subgroups.

    CONCLUSIONS: The knowledge of the participants was good. Deficiencies in knowledge were noted in certain areas and these should be addressed through an educational intervention. One of the challenges is the rapid evolution of our knowledge about this condition, which may require regular refresher sessions. Similar studies can be undertaken in other medical colleges in the country and in nursing and pharmacy colleges.

  11. Diwan D, Sharma M, Tabatabaei M, Gupta VK
    Nat Food, 2021 Dec;2(12):924-925.
    PMID: 37118249 DOI: 10.1038/s43016-021-00438-y
  12. Ahmed SK, Jeffries D, Chakraborty A, Lietz P, Kaushik A, Rahayu B, et al.
    Campbell Syst Rev, 2021 Dec;17(4):e1201.
    PMID: 36950346 DOI: 10.1002/cl2.1201
    According to prior research, teacher readiness and capability are key contributors for successful transition towards disability inclusive education, yet in-service teacher professional development for disability inclusion remains an under-researched area. The key objective of this evidence and gap map (EGM) is to locate evidence on interventions for disability inclusion focused teacher professional development (TPD) in low-to-middle-income-countries (LMICs) in the Asia-Pacific region. As such, it will illustrate different levels of evidence for TPD interventions as well as where there is no evidence (i.e., gaps). In other words, the EGM can make agencies aware where they might be operating in an area that is evidence-free or evidence-weak so they can take up interventions that are evidence-based or collect evidence for the intervention they are presently supporting. Thus, the ultimate goal for the EGM is to assist funders and implementing agencies when making decisions as to how to support LMICs in the region to reach their aim of developing quality teachers for the global inclusive education agenda (target SDG 4.c).
  13. Raja Sekaran S, Pang YH, Ling GF, Yin OS
    F1000Res, 2021;10:1261.
    PMID: 36896393 DOI: 10.12688/f1000research.73175.1
    Background: In recent years, human activity recognition (HAR) has been an active research topic due to its widespread application in various fields such as healthcare, sports, patient monitoring, etc. HAR approaches can be categorised as handcrafted feature methods (HCF) and deep learning methods (DL). HCF involves complex data pre-processing and manual feature extraction in which the models may be exposed to high bias and crucial implicit pattern loss. Hence, DL approaches are introduced due to their exceptional recognition performance. Convolutional Neural Network (CNN) extracts spatial features while preserving localisation. However, it hardly captures temporal features. Recurrent Neural Network (RNN) learns temporal features, but it is susceptible to gradient vanishing and suffers from short-term memory problems. Unlike RNN, Long-Short Term Memory network has a relatively longer-term dependency. However, it consumes higher computation and memory because it computes and stores partial results at each level. Methods: This work proposes a novel multiscale temporal convolutional network (MSTCN) based on the Inception model with a temporal convolutional architecture. Unlike HCF methods, MSTCN requires minimal pre-processing and no manual feature engineering. Further, multiple separable convolutions with different-sized kernels are used in MSTCN for multiscale feature extraction. Dilations are applied to each separable convolution to enlarge the receptive fields without increasing the model parameters. Moreover, residual connections are utilised to prevent information loss and gradient vanishing. These features enable MSTCN to possess a longer effective history while maintaining a relatively low in-network computation. Results: The performance of MSTCN is evaluated on UCI and WISDM datasets using subject independent protocol with no overlapping subjects between the training and testing sets. MSTCN achieves F1 scores of 0.9752 on UCI and 0.9470 on WISDM. Conclusion: The proposed MSTCN dominates the other state-of-the-art methods by acquiring high recognition accuracies without requiring any manual feature engineering.
    MeSH terms: Humans; Human Activities; Memory, Short-Term*; Neural Networks (Computer)*
  14. Mathew G, Agha R, Albrecht J, Goel P, Mukherjee I, Pai P, et al.
    Int J Surg, 2021 Dec;96:106165.
    PMID: 34774726 DOI: 10.1016/j.ijsu.2021.106165
    INTRODUCTION: Strengthening The Reporting Of Cohort Studies in Surgery (STROCSS) guidelines were developed in 2017 in order to improve the reporting quality of observational studies in surgery and updated in 2019. In order to maintain relevance and continue upholding good reporting quality among observational studies in surgery, we aimed to update STROCSS 2019 guidelines.

    METHODS: A STROCSS 2021 steering group was formed to come up with proposals to update STROCSS 2019 guidelines. An expert panel of researchers assessed these proposals and judged whether they should become part of STROCSS 2021 guidelines or not, through a Delphi consensus exercise.

    RESULTS: 42 people (89%) completed the DELPHI survey and hence participated in the development of STROCSS 2021 guidelines. All items received a score between 7 and 9 by greater than 70% of the participants, indicating a high level of agreement among the DELPHI group members with the proposed changes to all the items.

    CONCLUSION: We present updated STROCSS 2021 guidelines to ensure ongoing good reporting quality among observational studies in surgery.

    MeSH terms: Cross-Sectional Studies; Delphi Technique; Humans; Cohort Studies; Case-Control Studies; Research Report*
  15. Abdul Razak SF, Yogarayan S, Azman A, Abdullah MFA, Muhamad Amin AH, Salleh M
    F1000Res, 2021;10:1265.
    PMID: 36852011 DOI: 10.12688/f1000research.73398.2
    Background: V2V (Vehicle-to-Vehicle) is a booming research field with a diverse set of services and applications. Most researchers rely on vehicular simulation tools to model traffic and road conditions and evaluate the performance of network protocols. We conducted a scoping review to consider simulators that have been reported in the literature based on successful implementation of V2V systems, tutorials, documentation, examples, and/or discussion groups. Methods: Simulators that have limited information were not included. The selected simulators are described individually and compared based on their requirements and features, i.e., origin, traffic model, scalability, and traffic features. This scoping review was reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR). The review considered only research published in English (in journals and conference papers) completed after 2015. Further, three reviewers initiated the data extraction phase to retrieve information from the published papers. Results: Most simulators can simulate system behaviour by modelling the events according to pre-defined scenarios. However, the main challenge faced is integrating the three components to simulate a road environment in either microscopic, macroscopic or mesoscopic models. These components include mobility generators, VANET simulators and network simulators. These simulators require the integration and synchronisation of the transportation domain and the communication domain. Simulation modelling can be run using a different types of simulators that are cost-effective and scalable for evaluating the performance of V2V systems in urban environments. In addition, we also considered the ability of the vehicular simulation tools to support wireless sensors. Conclusions: The outcome of this study may reduce the time required for other researchers to work on other applications involving V2V systems and as a reference for the study and development of new traffic simulators.
    MeSH terms: Communication*; Computer Simulation; Humans; Research Personnel
  16. Zhang R, Li C, Yu M, Huang X, Zhang M, Liu S, et al.
    GigaByte, 2021;2021:gigabyte17.
    PMID: 36824331 DOI: 10.46471/gigabyte.17
    The humpback puffer, Tetraodon palembangensis, is a poisonous freshwater pufferfish species mainly distributed in Southeast Asia (Thailand, Laos, Malaysia and Indonesia). The humpback puffer has many interesting biological features, such as inactivity, tetrodotoxin production and body expansion. Here, we report the first chromosome-level genome assembly of the humpback puffer. The genome size is 362 Mb, with a contig N50 value of ∼1.78 Mb and a scaffold N50 value of ∼15.8 Mb. Based on this genome assembly, ∼61.5 Mb (18.11%) repeat sequences were identified, 19,925 genes were annotated, and the function of 90.01% of these genes could be predicted. Finally, a phylogenetic tree of ten teleost fish species was constructed. This analysis suggests that the humpback puffer and T. nigroviridis share a common ancestor 18.1 million years ago (MYA), and diverged from T. rubripes 45.8 MYA. The humpback puffer genome will be a valuable genomic resource to illustrate possible mechanisms of tetrodotoxin synthesis and tolerance.
  17. Parsons C, Lim WY, Loy C, McGuinness B, Passmore P, Ward SA, et al.
    Cochrane Database Syst Rev, 2021 Feb 03;2(2):CD009081.
    PMID: 35608903 DOI: 10.1002/14651858.CD009081.pub2
    BACKGROUND: Dementia is a progressive syndrome characterised by deterioration in memory, thinking and behaviour, and by impaired ability to perform daily activities. Two classes of drug - cholinesterase inhibitors (donepezil, galantamine and rivastigmine) and memantine - are widely licensed for dementia due to Alzheimer's disease, and rivastigmine is also licensed for Parkinson's disease dementia. These drugs are prescribed to alleviate symptoms and delay disease progression in these and sometimes in other forms of dementia. There are uncertainties about the benefits and adverse effects of these drugs in the long term and in severe dementia, about effects of withdrawal, and about the most appropriate time to discontinue treatment.

    OBJECTIVES: To evaluate the effects of withdrawal or continuation of cholinesterase inhibitors or memantine, or both, in people with dementia on: cognitive, neuropsychiatric and functional outcomes, rates of institutionalisation, adverse events, dropout from trials, mortality, quality of life and carer-related outcomes.

    SEARCH METHODS: We searched the Cochrane Dementia and Cognitive Improvement Group's Specialised Register up to 17 October 2020 using terms appropriate for the retrieval of studies of cholinesterase inhibitors or memantine. The Specialised Register contains records of clinical trials identified from monthly searches of a number of major healthcare databases, numerous trial registries and grey literature sources.

    SELECTION CRITERIA: We included all randomised, controlled clinical trials (RCTs) which compared withdrawal of cholinesterase inhibitors or memantine, or both, with continuation of the same drug or drugs.

    DATA COLLECTION AND ANALYSIS: Two review authors independently assessed citations and full-text articles for inclusion, extracted data from included trials and assessed risk of bias using the Cochrane risk of bias tool. Where trials were sufficiently similar, we pooled data for outcomes in the short term (up to 2 months after randomisation), medium term (3-11 months) and long term (12 months or more). We assessed the overall certainty of the evidence for each outcome using GRADE methods.

    MAIN RESULTS: We included six trials investigating cholinesterase inhibitor withdrawal, and one trial investigating withdrawal of either donepezil or memantine. No trials assessed withdrawal of memantine only. Drugs were withdrawn abruptly in five trials and stepwise in two trials. All participants had dementia due to Alzheimer's disease, with severities ranging from mild to very severe, and were taking cholinesterase inhibitors without known adverse effects at baseline. The included trials randomised 759 participants to treatment groups relevant to this review. Study duration ranged from 6 weeks to 12 months. There were too few included studies to allow planned subgroup analyses. We considered some studies to be at unclear or high risk of selection, performance, detection, attrition or reporting bias. Compared to continuing cholinesterase inhibitors, discontinuing treatment may be associated with worse cognitive function in the short term (standardised mean difference (SMD) -0.42, 95% confidence interval (CI) -0.64 to -0.21; 4 studies; low certainty), but the effect in the medium term is very uncertain (SMD -0.40, 95% CI -0.87 to 0.07; 3 studies; very low certainty). In a sensitivity analysis omitting data from a study which only included participants who had shown a relatively poor prior response to donepezil, inconsistency was reduced and we found that cognitive function may be worse in the discontinuation group in the medium term (SMD -0.62; 95% CI -0.94 to -0.31). Data from one longer-term study suggest that discontinuing a cholinesterase inhibitor is probably associated with worse cognitive function at 12 months (mean difference (MD) -2.09 Standardised Mini-Mental State Examination (SMMSE) points, 95% CI -3.43 to -0.75; moderate certainty). Discontinuation may make little or no difference to functional status in the short term (SMD -0.25, 95% CI -0.54 to 0.04; 2 studies; low certainty), and its effect in the medium term is uncertain (SMD -0.38, 95% CI -0.74 to -0.01; 2 studies; very low certainty). After 12 months, discontinuing a cholinesterase inhibitor probably results in greater functional impairment than continuing treatment (MD -3.38 Bristol Activities of Daily Living Scale (BADLS) points, 95% CI -6.67 to -0.10; one study; moderate certainty). Discontinuation may be associated with a worsening of neuropsychiatric symptoms over the short term and medium term, although we cannot exclude a minimal effect (SMD - 0.48, 95% CI -0.82 to -0.13; 2 studies; low certainty; and SMD -0.27, 95% CI -0.47 to -0.08; 3 studies; low certainty, respectively). Data from one study suggest that discontinuing a cholinesterase inhibitor may result in little to no change in neuropsychiatric status at 12 months (MD -0.87 Neuropsychiatric Inventory (NPI) points; 95% CI -8.42 to 6.68; moderate certainty). We found no clear evidence of an effect of discontinuation on dropout due to lack of medication efficacy or deterioration in overall medical condition (odds ratio (OR) 1.53, 95% CI 0.84 to 2.76; 4 studies; low certainty), on number of adverse events (OR 0.85, 95% CI 0.57 to 1.27; 4 studies; low certainty) or serious adverse events (OR 0.80, 95% CI 0.46 to 1.39; 4 studies; low certainty), and on mortality (OR 0.75, 95% CI 0.36 to 1.55; 5 studies; low certainty). Institutionalisation was reported in one trial, but it was not possible to extract data for the groups relevant to this review.

    AUTHORS' CONCLUSIONS: This review suggests that discontinuing cholinesterase inhibitors may result in worse cognitive, neuropsychiatric and functional status than continuing treatment, although this is supported by limited evidence, almost all of low or very low certainty. As all participants had dementia due to Alzheimer's disease, our findings are not transferable to other dementia types. We were unable to determine whether the effects of discontinuing cholinesterase inhibitors differed with baseline dementia severity. There is currently no evidence to guide decisions about discontinuing memantine. There is a need for further well-designed RCTs, across a range of dementia severities and settings. We are aware of two ongoing registered trials. In making decisions about discontinuing these drugs, clinicians should exercise caution, considering the evidence from existing trials along with other factors important to patients and their carers.

    MeSH terms: Rivastigmine/adverse effects; Activities of Daily Living; Cholinesterase Inhibitors/adverse effects; Humans; Memantine/adverse effects; Quality of Life
  18. Chia J, Chin JJ, Yip SC
    F1000Res, 2021;10:931.
    PMID: 36798451 DOI: 10.12688/f1000research.72910.1
    Digital signature schemes (DSS) are ubiquitously used for public authentication in the infrastructure of the internet, in addition to their use as a cryptographic tool to construct even more sophisticated schemes such as those that are identity-based. The security of DSS is analyzed through the existential unforgeability under chosen message attack (EUF-CMA) experiment which promises unforgeability of signatures on new messages even when the attacker has access to an arbitrary set of messages and their corresponding signatures. However, the EUF-CMA model does not account for attacks such as an attacker forging a different signature on an existing message, even though the attack could be devastating in the real world and constitutes a severe breach of the security system. Nonetheless, most of the DSS are not analyzed in this security model, which possibly makes them vulnerable to such an attack. In contrast, a better security notion known as strong EUF-CMA (sEUF-CMA) is designed to be resistant to such attacks. This review aims to identify DSS in the literature that are secure in the sEUF-CMA model. In addition, the article discusses the challenges and future directions of DSS. In our review, we consider the security of existing DSS that fit our criterion in the sEUF-CMA model; our criterion is simple as we only require the DSS to be at least secure against the minimum of existential forgery. Our findings are categorized into two classes: the direct and indirect classes of sEUF-CMA. The former is inherently sEUF-CMA without any modification while the latter requires some transformation. Our comprehensive  review contributes to the security and cryptographic research community by discussing the efficiency and security of DSS that are sEUF-CMA, which aids in selecting robust DSS in future design considerations.
    MeSH terms: Algorithms*; Computer Security*; Internet
  19. Wu Y, Levis B, Ioannidis JPA, Benedetti A, Thombs BD, DEPRESsion Screening Data (DEPRESSD) Collaboration
    Psychother Psychosom, 2021;90(1):28-40.
    PMID: 32814337 DOI: 10.1159/000509283
    INTRODUCTION: Three previous individual participant data meta-analyses (IPDMAs) reported that, compared to the Structured Clinical Interview for the DSM (SCID), alternative reference standards, primarily the Composite International Diagnostic Interview (CIDI) and the Mini International Neuropsychiatric Interview (MINI), tended to misclassify major depression status, when controlling for depression symptom severity. However, there was an important lack of precision in the results.

    OBJECTIVE: To compare the odds of the major depression classification based on the SCID, CIDI, and MINI.

    METHODS: We included and standardized data from 3 IPDMA databases. For each IPDMA, separately, we fitted binomial generalized linear mixed models to compare the adjusted odds ratios (aORs) of major depression classification, controlling for symptom severity and characteristics of participants, and the interaction between interview and symptom severity. Next, we synthesized results using a DerSimonian-Laird random-effects meta-analysis.

    RESULTS: In total, 69,405 participants (7,574 [11%] with major depression) from 212 studies were included. Controlling for symptom severity and participant characteristics, the MINI (74 studies; 25,749 participants) classified major depression more often than the SCID (108 studies; 21,953 participants; aOR 1.46; 95% confidence interval [CI] 1.11-1.92]). Classification odds for the CIDI (30 studies; 21,703 participants) and the SCID did not differ overall (aOR 1.19; 95% CI 0.79-1.75); however, as screening scores increased, the aOR increased less for the CIDI than the SCID (interaction aOR 0.64; 95% CI 0.52-0.80).

    CONCLUSIONS: Compared to the SCID, the MINI classified major depression more often. The odds of the depression classification with the CIDI increased less as symptom levels increased. Interpretation of research that uses diagnostic interviews to classify depression should consider the interview characteristics.

    MeSH terms: Depression; Humans; Mass Screening; Probability; Psychiatric Status Rating Scales; Meta-Analysis as Topic
  20. Liam CCK, Boo YL, Lee YL, Law KB, Ho KW, Shahnaz SAKS, et al.
    Blood Cell Ther, 2021 Feb 25;4(1):1-8.
    PMID: 36712843 DOI: 10.31547/bct-2020-009
    BACKGROUND: Multiple Myeloma (MM) is characterized by the presence of clonal plasma cells. These often result in complications including bone destruction, hypercalcemia, renal insufficiency, and anaemia. Induction with a triplet or quadruplet regimen followed by autologous stem cell transplantation (ASCT) has been the standard of care for transplant eligible patients to achieve durable remission.

    PURPOSE: This is a retrospective analytical study to determine the outcome of Multiple Myeloma patients who underwent ASCT in Ampang Hospital.

    MATERIALS AND METHODS: We included a 5-year cohort of patients transplanted from 1st July 2014 to 30th June 2019. Data were obtained through electronic medical records. Prognostic factors for progression-free survival (PFS) and overall survival (OS) were analyzed using simple and multiple Cox proportional hazard regression analysis. All analyses were done using software R version 3.6.2 with validated statistical packages.

    RESULTS: 139 patients were analyzed. The median age at transplant was 56 years old and 56.1% are males (n=78). The most common subtype is IgG Kappa (n=67, 48.2%). Only 93 patients in which the International Staging System (ISS) could be determined, and among them, 33.3% of patients (n=31) have advanced stage Ⅲ disease. The most common induction received before ASCT was a bortezomib based regimen and/or an immunomodulatory (IMiD) based regimen. 63.3% of patients achieved at least a very good partial response (VGPR) before ASCT. Most patients received myeloablative conditioning (MAC) (n=119, 85.6%). The mean cell dose is 3.68×106/kg. The median time to engraftment was 11 days for both platelet and absolute neutrophil count (ANC). With the median follow-up of 17.3 (range, 6.2-33.4) months, the median OS and PFS were not reached. The 1-year and 2-year PFS were 75% (95% CI 66-82%) and 52% (95% CI 42-62%), respectively. The 1-year and 2-year OS were 82% (95% CI 74-88%) and 70% (95% CI 60-78%), respectively. 6 patients (4.3%) had transplant-related mortality (TRM). IgA subtype was found to adversely affect PFS. Maintenance therapy and the absence of renal impairment was associated with better PFS and OS.

    DISCUSSION AND CONCLUSIONS: Our study found that ASCT following induction treatment is safe and beneficial to achieve a deeper remission status. In our study, the addition of maintenance therapy is associated with an improved outcome in PFS and OS.

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