<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>12(12)</volume><submitter>Peng H</submitter><funding>The Macao Science and Technology Development Fund (FDCT)</funding><journal>Clinical and translational medicine</journal><pagination>e1134</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9709889</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Towards equations for estimating glomerular filtration rate without demographic characteristics.</pubmed_title><pmcid>PMC9709889</pmcid><funding_grant_id>0032/2018/A1</funding_grant_id><pubmed_authors>Peng H</pubmed_authors><pubmed_authors>Liu X</pubmed_authors><pubmed_authors>Ang IL</pubmed_authors><pubmed_authors>Tsai T</pubmed_authors><pubmed_authors>Liu P</pubmed_authors><pubmed_authors>Aoieong C</pubmed_authors><pubmed_authors>Cheang HI</pubmed_authors><pubmed_authors>Tou T</pubmed_authors><pubmed_authors>Wai Poon TC</pubmed_authors><pubmed_authors>Ngai K</pubmed_authors></additional><is_claimable>false</is_claimable><name>Towards equations for estimating glomerular filtration rate without demographic characteristics.</name><description/><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Dec</publication><modification>2025-04-19T00:36:52.512Z</modification><creation>2025-04-07T11:44:45.062Z</creation></dates><accession>S-EPMC9709889</accession><cross_references><pubmed>36448568</pubmed><doi>10.1002/ctm2.1134</doi></cross_references></HashMap>