OBJECTIVE: This study aimed to review and analyse literature related to the detection and classification of acute leukaemia. The factors that were considered to improve understanding on the field's various contextual aspects in published studies and characteristics were motivation, open challenges that confronted researchers and recommendations presented to researchers to enhance this vital research area.
METHODS: We systematically searched all articles about the classification and detection of acute leukaemia, as well as their evaluation and benchmarking, in three main databases: ScienceDirect, Web of Science and IEEE Xplore from 2007 to 2017. These indices were considered to be sufficiently extensive to encompass our field of literature.
RESULTS: Based on our inclusion and exclusion criteria, 89 articles were selected. Most studies (58/89) focused on the methods or algorithms of acute leukaemia classification, a number of papers (22/89) covered the developed systems for the detection or diagnosis of acute leukaemia and few papers (5/89) presented evaluation and comparative studies. The smallest portion (4/89) of articles comprised reviews and surveys.
DISCUSSION: Acute leukaemia diagnosis, which is a field requiring automated solutions, tools and methods, entails the ability to facilitate early detection or even prediction. Many studies have been performed on the automatic detection and classification of acute leukaemia and their subtypes to promote accurate diagnosis.
CONCLUSIONS: Research areas on medical-image classification vary, but they are all equally vital. We expect this systematic review to help emphasise current research opportunities and thus extend and create additional research fields.
METHODS: A systematic literature search was performed on 11 online databases for quantitative studies describing self-regulation of driving amongst older adults aged 60 years and above from database inception until December 2018. Data were described narratively and, where possible, data were pooled using random-effects meta-analysis.
RESULTS: Of the 1556 studies identified, 54 studies met the inclusion criteria and 46 studies were included in the meta-analyses. All included studies examined car drivers only. Older adults who were single or female were found to be at higher odds of driving cessation. Physical fitness, mental health, social influence, and support systems received by older adults were important driving forces influencing mobility and adjustments made in their travel patterns.
CONCLUSIONS: Driving self-regulation amongst older adults is a multifaceted decision, impacting mobility and mental health. Therefore, future interventions and support systems should not only create opportunities for retaining mobility for those who have ceased driving, but also promote better psychological and social well-being for regulators and for those who are transitioning from driving to non-driving status. Practical applications: (a) Engage and educate older adults about self-regulation, including strategies that can be adopted and non-car mobility options available. (b) Expand the research focus to explore potential interactions of factors facilitating or hindering the transition process to develop a more comprehensive framework of self-regulation. (c) Encourage ongoing research to formulate, monitor, and evaluate the effectiveness of policies and interventions implemented. (d) Expand the research horizon to explore and understand the perspectives of older adults from developing countries.
Methods: A randomized controlled trial (RCT) for 12 months was carried out on patients diagnosed with stroke at Hospital Kuala Lumpur, Malaysia. The RCT recruited up to 216 eligible patients who were requested to return for two more follow-ups within six months. Consented patients were randomized to either standard care or intervention with video narratives. The control of potential confounding factors was ensured, as well as unbiased treatment review with prescribed medications, only obtained onsite.
Results and Discussion: A repeated measure of MUSE mean score differences at T0 (baseline), T2 (6th month) and T4 (12th month) for antithrombotic, antihypertensive, and all medication categories indicated significant within and between groups differences in the intervention group (p<0.05). Moreover, this impact was reflected upon continuous blood pressure (BP) monitoring compared to the control group (F (1214) =5.23, p=0.023, ƞ2=0.024). Though BP measure differences were non-significant between the groups (p=0.552), repeated measure analysis displayed significant mean differences between intervention and control group on BP control over time (F (1.344, 287.55) =8.54, P<0.001, ƞ2=0.038). Similarly, the intervention's positive impact was also present with similar trends for knowledge, illness perception, and the belief about medicine. Though significant differences (p<0.05) of all outcome measures gradually decreased between T2 and T4 in the intervention group; nevertheless, these positive findings confirmed that personalized video narratives were able to motivate and influence MUSE and its associated factors among post-stroke patients. The significant improvement in medication-taking self-efficacy and the sustenance of BP monitoring habits among patients in the intervention group strengthened our conceptual framework's practicality.
Methods: Data were obtained from the Social Security Organization, Malaysia database consisting of 10,049 RTW program participants in 2010-2014. The dependent variable was the RTW outcome which consisted of RTW with same employer, RTW with new employer or unsuccessful return. Multinomial logistic regression was performed to test the likelihood of successful return with same employer and new employer against unsuccessful return.
Results: Overall, 65.3% of injured workers were successfully returned to employment, 52.8% to the same employer and 12.5% to new employer. Employer interest; motivation; age 30-49 years; intervention less than 9 months; occupational disease; injuries in the lower limbs, upper limbs, and general injuries; and working in the manufacturing, services, and electrical/electronics were associated with returning to work with the same employer against unsuccessful return. Male, employer interest, motivation, age 49 years or younger, intervention less than 6 months, occupational disease, injuries in the upper limbs and services sector of employment were associated with returning to new employer against unsuccessful return.
Conclusion: There is a need to strengthen employer commitment for early and intensified intervention that will lead to improvement in the RTW outcome.