Raw data for a systematic review of statistical methodologies to evaluate progression of chronic kidney disease using electronic healthcare records

Cleary, F; Nitsch, D and Prieto, D (2021). Raw data for a systematic review of statistical methodologies to evaluate progression of chronic kidney disease using electronic healthcare records. [Dataset]. London School of Hygiene & Tropical Medicine, London, United Kingdom. 10.17037/DATA.00002628.
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Data collected as part of a systematic review of published research on chronic kidney disease progression using electronic healthcare records. Eligible studies were located by searching 4 databases (Medline, Embase, Global Health and Web of Science). In total, 80 research studies are described in the dataset. Each row presents an individual study, providing information on the study population, study methodology, the investigators’ handling of data quality issues, and other key information. Please consult the Methods section for further information.

Keywords

Systematic review; Chronic kidney disease; Electronic health records

Item Type Dataset
Resource Type
Resource Type
Resource Description
Dataset
Quantitative
Description of data capture We searched for eligible studies in 4 databases (Medline, Embase, Global Health and Web of Science) available as of August 2021. The systematic review had one lead reviewer and two supporting reviewers. The lead reviewer was responsible for extracting data from all eligible research articles, capturing all items required to be summarised in the review, which included items related to study population, study methodology and handling of data quality issues. In addition, key items that were the subject of this review were validated by supporting reviewers who independently extracted the following items for all articles: (1) measure of change in renal function; (2) statistical methods used in analysis of changes in renal function; and (3) definitions of progression of CKD, if any. Any disagreements on key items were discussed and decisions agreed.
Capture method Aggregation
Collection Period
From
To
7 May 2020
30 September 2021
Date 15 November 2021
Language(s) of written materials English
Creator(s) Cleary, F; Nitsch, D and Prieto, D
LSHTM Faculty/Department Faculty of Epidemiology and Population Health > Dept of Non-Communicable Disease Epidemiology
Participating Institutions London School of Hygiene & Tropical Medicine, London, United Kingdom
Funders
Project
Funder
Grant Number
Funder URI
A systematic review of statistical methodology used to evaluate progression of chronic kidney disease using electronic healthcare records
Medical Research Council
MR/N013638/1
http://dx.doi.org/10.13039/501100000265
Date Deposited 17 Nov 2021 12:12
Last Modified 21 Oct 2025 08:47
Publisher London School of Hygiene & Tropical Medicine

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Data_extraction_spreadsheet.xlsx
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Available under Creative Commons: Attribution 3.0
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Data collected as part of a systematic review of published research on chronic kidney disease progression (Excel format)
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Data_extraction_spreadsheet.csv
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Available under Creative Commons: Attribution 3.0
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Data collected as part of a systematic review of published research on chronic kidney disease progression (CSV format)
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