{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Aparcana-Granda DJ"],"funding":["Wellcome Trust"],"pagination":["e058921"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8928240"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["12(3)"],"pubmed_abstract":["Objective
To summarise available chronic kidney disease (CKD) diagnostic and prognostic models in low-income and middle-income countries (LMICs).Method
Systematic review (Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines). We searched Medline, EMBASE, Global Health (these three through OVID), Scopus and Web of Science from inception to 9 April 2021, 17 April 2021 and 18 April 2021, respectively. We first screened titles and abstracts, and then studied in detail the selected reports; both phases were conducted by two reviewers independently. We followed the CHecklist for critical Appraisal and data extraction for systematic Reviews of prediction Modelling Studies recommendations and used the Prediction model Risk Of Bias ASsessment Tool for risk o"],"journal":["BMJ open"],"pubmed_title":["Systematic review of diagnostic and prognostic models of chronic kidney disease in low-income and middle-income countries."],"pmcid":["PMC8928240"],"funding_grant_id":["214185/Z/18/Z"],"pubmed_authors":["Ascencio EJ","Aparcana-Granda DJ","Carrillo Larco RM"],"additional_accession":[]},"is_claimable":false,"name":"Systematic review of diagnostic and prognostic models of chronic kidney disease in low-income and middle-income countries.","description":"Objective
To summarise available chronic kidney disease (CKD) diagnostic and prognostic models in low-income and middle-income countries (LMICs).Method
Systematic review (Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines). We searched Medline, EMBASE, Global Health (these three through OVID), Scopus and Web of Science from inception to 9 April 2021, 17 April 2021 and 18 April 2021, respectively. We first screened titles and abstracts, and then studied in detail the selected reports; both phases were conducted by two reviewers independently. We followed the CHecklist for critical Appraisal and data extraction for systematic Reviews of prediction Modelling Studies recommendations and used the Prediction model Risk Of Bias ASsessment Tool for risk o","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Mar","modification":"2025-04-04T03:19:58.203Z","creation":"2025-04-04T03:19:58.203Z"},"accession":"S-EPMC8928240","cross_references":{"pubmed":["35292503"],"doi":["10.1136/bmjopen-2021-058921"]}}