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.
Copy

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 23 Jun 2026 11:15
Publisher London School of Hygiene & Tropical Medicine

Explore Further

Data / Code

Data_extraction_spreadsheet.xlsx
subject
Data
Available under Creative Commons: Attribution 3.0
info
Data collected as part of a systematic review of published research on chronic kidney disease progression (Excel format)
grid_on
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
folder_info
84kB
Download
Data_extraction_spreadsheet.csv
subject
Data
Available under Creative Commons: Attribution 3.0
info
Data collected as part of a systematic review of published research on chronic kidney disease progression (CSV format)
grid_on
text/csv
folder_info
166kB
Download

EndNote BibTeX Reference Manager Refer Atom Dublin Core (with Type as Type) JSON Multiline CSV OPENAIRE ASCII Citation HTML Citation MPEG-21 DIDL RDF+N-Triples OpenURL ContextObject in Span RDF+XML METS RDF+N3 Data Cite XML MODS Simple Metadata OpenURL ContextObject EP3 XML
Export

Downloads