Global trends in chronic kidney disease-related mortality: a systematic review protocol Article Swipe
YOU?
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· 2024
· Open Access
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· DOI: https://doi.org/10.1136/bmjopen-2023-078485
Introduction In recent decades, all-cause mortality has increased among individuals with chronic kidney disease (CKD), influenced by factors such as aetiology, standards of care and access to kidney replacement therapies (dialysis and transplantation). The recent COVID-19 pandemic also affected mortality over the past few years. Here, we outline the protocol for a systematic review to investigate global temporal trends in all-cause mortality among patients with CKD at any stage from 1990 to current. We also aim to assess temporal trends in the mortality rate associated with the COVID-19 pandemic. Methods and analysis We will conduct a systematic review of studies reporting mortality for patients with CKD following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. We will search electronic databases, national and multiregional kidney registries and grey literature to identify observational studies that reported on mortality associated with any cause for patients with CKD of all ages with any stage of the disease. We will collect data between April and August 2023 to include all studies published from 1990 to August 2023. There will be no language restriction, and clinical trials will be excluded. Primary outcome will be temporal trends in CKD-related mortality. Secondary outcomes include assessing mortality differences before and during the COVID-19 pandemic, exploring causes of death and examining trends across CKD stages, country classifications, income levels and demographics. Ethics and dissemination A systematic review will analyse existing data from previously published studies and have no direct involvement with patient data. Thus, ethical approval is not required. Our findings will be published in an open-access peer-reviewed journal and presented at scientific conferences. PROSPERO registration number CRD42023416084.
Related Topics
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.1136/bmjopen-2023-078485
- https://bmjopen.bmj.com/content/bmjopen/14/4/e078485.full.pdf
- OA Status
- gold
- Cited By
- 2
- References
- 28
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4394739094
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4394739094Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1136/bmjopen-2023-078485Digital Object Identifier
- Title
-
Global trends in chronic kidney disease-related mortality: a systematic review protocolWork title
- Type
-
reviewOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-04-01Full publication date if available
- Authors
-
Somkanya Tungsanga, Anukul Ghimire, Vinash K Hariramani, Abdullah Abdulrahman, Ana S Khan, Feng Ye, Janice Y. Kung, Scott Klarenbach, Stephanie Thompson, David Collister, Nattachai Srisawat, Ikechi G. Okpechi, Aminu K. BelloList of authors in order
- Landing page
-
https://doi.org/10.1136/bmjopen-2023-078485Publisher landing page
- PDF URL
-
https://bmjopen.bmj.com/content/bmjopen/14/4/e078485.full.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://bmjopen.bmj.com/content/bmjopen/14/4/e078485.full.pdfDirect OA link when available
- Concepts
-
Medicine, Observational study, Kidney disease, Systematic review, Pandemic, Intensive care medicine, Mortality rate, MEDLINE, Dialysis, Disease, Epidemiology, Protocol (science), Alternative medicine, Internal medicine, Coronavirus disease 2019 (COVID-19), Pathology, Infectious disease (medical specialty), Political science, LawTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2Per-year citation counts (last 5 years)
- References (count)
-
28Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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