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. [Online]. London School of Hygiene & Tropical Medicine, London, United Kingdom. Available from: https://doi.org/10.17037/DATA.00002628.

Cleary, F, Nitsch, D and Prieto, D. Raw data for a systematic review of statistical methodologies to evaluate progression of chronic kidney disease using electronic healthcare records [Internet]. London School of Hygiene & Tropical Medicine; 2021. Available from: https://doi.org/10.17037/DATA.00002628.

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. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002628.

Description

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.
Data capture method Aggregation
Data Collection Period
FromTo
7 May 202030 September 2021
Date (Completed) 15 November 2021
Language(s) of written materials English
Data Creators 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
ProjectFunderGrant NumberFunder URI
A systematic review of statistical methodology used to evaluate progression of chronic kidney disease using electronic healthcare recordsMedical Research CouncilMR/N013638/1http://dx.doi.org/10.13039/501100000265
Date Deposited 17 Nov 2021 12:12
Last Modified 22 Nov 2021 10:25
Publisher London School of Hygiene & Tropical Medicine

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Filename: Data_extraction_spreadsheet.xlsx

Description: Data collected as part of a systematic review of published research on chronic kidney disease progression (Excel format)

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Filename: Data_extraction_spreadsheet.csv

Description: Data collected as part of a systematic review of published research on chronic kidney disease progression (CSV format)

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