2628 34 12035 2 62067 document 12035 Data_extraction_spreadsheet.xlsx application/vnd.openxmlformats-officedocument.spreadsheetml.sheet 2e4ebf900d330a8c4046bc4aaa6faa1601b9f4491c9d1be386ee0ed805f846fb SHA256 84431 2021-11-17 12:13:43 https://datacompass.lshtm.ac.uk/id/eprint/2628/1/Data_extraction_spreadsheet.xlsx 2628 1 1 application/vnd.openxmlformats-officedocument.spreadsheetml.sheet Dataset en public cc_by

Data_extraction_spreadsheet.xlsx

data indefinite Data collected as part of a systematic review of published research on chronic kidney disease progression (Excel format) 12036 2 62069 document 12036 Data_extraction_spreadsheet.csv text/plain 3640d9a05403fda54f6f12a942c30d919c87722ce57b1e5b062d8fad5ef7541a SHA256 166732 2021-11-17 12:13:46 https://datacompass.lshtm.ac.uk/id/eprint/2628/2/Data_extraction_spreadsheet.csv 2628 2 2 text/plain Dataset en public cc_by

Data_extraction_spreadsheet.csv

data indefinite Data collected as part of a systematic review of published research on chronic kidney disease progression (CSV format) archive 341 disk0/00/00/26/28 2021-11-17 12:12:16 2025-10-21 08:47:00 2021-11-17 12:12:16 data_collection show Cleary Faye TRUE 319291539033be48c72c219cfd94fc8b Nitsch Dorothea TRUE a99caf8dfa0ece24d7be9d52aa977f95 Prieto David TRUE 436e468def75c2c4a6ebd44ccd58de45 London School of Hygiene & Tropical Medicine, London, United Kingdom EPNC Systematic review Chronic kidney disease Electronic health records 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. 2021-11-15 completed London School of Hygiene & Tropical Medicine 10.17037/DATA.00002628 Dataset London School of Hygiene & Tropical Medicine, London, United Kingdom Aggregation UYP USK-USLM C.AQ C.B public London, United Kingdom Medical Research Council A systematic review of statistical methodology used to evaluate progression of chronic kidney disease using electronic healthcare records Dataset Quantitative 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. MR/N013638/1 en 2020-05-07 2021-09-30 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 2021-11-15