An overview of the study designs and statistical methods used in the determination of predictors of melioidosis mortality in Malaysia: 2010-2021

Author:

Mardhiah Kamaruddin1ORCID,Nursyahiyatul-Anis Othman1ORCID

Affiliation:

1. Faculty of Entrepreneurship and Business, Universiti Malaysia Kelantan, Kelantan, MALAYSIA

Abstract

<b>Background:</b> In Malaysia, the mortality from melioidosis infection was reported to be higher than in other infectious diseases. The research on melioidosis is still limited in Malaysia but slightly increasing.<br /> <b>Objectives: </b>The objective of the study was to give an overview of the study designs, statistical methods, and comparison of research in identifying the predictors of melioidosis mortality in Malaysia between January 2010 to December 2021.<br /> <b>Data sources:</b> Pubmed/Medline.<br /> <b>Study eligibility criteria:</b> Original English-language articles were abstracted. The articles that identified the predictors of melioidosis from mortality in Malaysia only included. Letters to the editor, editorials, reviews, systematic reviews, meta-analysis, case reports, and any other ineligible articles were excluded.<br /> <b>Results:</b> A total of eight studies were identified related to predictors of melioidosis mortality in Malaysia. From the selected articles, 87.5% were retrospectively collected. Five out of eight articles (62.5%) used the logistic regression in identifying the predictors of melioidosis mortality. Only one (12.5%) used advanced survival analysis methods of Cox regression analysis. Another 25.0% used Chi-square test.<br /> <b>Conclusions:</b> Logistic regression methods remain the most common methods of analysis in publications on predictors of melioidosis mortality in Malaysia while retrospective research designs are preferred. There is a limitation of research in predictors of melioidosis mortality and the use of advanced statistical techniques reported using the melioidosis data in Malaysia. More published research on melioidosis will provide input to the clinicians on a more detailed understanding of how to improve the diagnosis of melioidosis and the prognosis factors of this disease.

Publisher

Modestum Ltd

Reference34 articles.

1. Abu Hassan, M. R., Pani, S. P., Peng, N. P., Voralu, K., Vijayalakshmi, N., Mehanderkar, R., Aziz, N. A., & Michael, E. (2010). Incidence, risk factors and clinical epidemiology of melioidosis: A complex socio-ecological emerging infectious disease in the Alor Setar region of Kedah, Malaysia. BMC Infectious Diseases, 10, 302. https://doi.org/10.1186/1471-2334-10-302

2. Ali, S. M., Abu Hassan, M. R., Keat, C. H., & Mohd Suan, M. A. (2020). Incidence, mortality, socio-demographic profile and prognostic factors of melioidosis in Northern Malaysia, 2014-2019. Annals of Epidemiology & Public Health, 3(1), 1046.

3. Basheer, A., Iqbal, N., C, S., Kanungo, R., & Kandasamy, R. (2021). Melioidosis: Distinctive clinico-epidemiological characteristics in southern India. Tropical Doctor, 51(2), 174-177. https://doi.org/10.1177/0049475520943698

4. Birnie, E., Claushuis, T. A. M., Koh, G. C. K. W., Limmathurotsakul, D., Day, N. P. J., Roelofs, J. J. T. H., Ware, J., Hou, B., de Vos, A. F., van der Poll, T., van’t Veer, C., & Wiersinga, W. J. (2019). Thrombocytopenia impairs host defense against Burkholderia pseudomallei (Melioidosis). The Journal of Infectious Diseases, 219(4), 648-659. https://doi.org/10.1093/infdis/jiy541

5. Birnie, E., Virk, H. S., Savelkoel, J., Spijker, R., Dance, P. D. A. B., & Limmathurotsakul, D. (2020). Europe PMC Funders Group global burden of melioidosis, 2015: A systematic review and data synthesis. The Lancet Infectious Diseases, 19(8), 892-902. https://doi.org/10.1016/S1473-3099(19)30157-4

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3