<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>19(11)</volume><submitter>Gao Q</submitter><pubmed_abstract>Despite a growing body of research indicating a link between fasting glucose levels and mortality, the relationship between fasting glucose and all-cause and cancer mortality remains inconsistent. In this study, we used Cox regression and restricted cubic spline models to analyze the association and dose-response relationship between fasting plasma glucose levels and all-cause and cancer mortality in a retrospective cohort based on data from the 2015 health check-ups of residents in Quzhou City. After a mean follow-up of 5.31 years for 148,755 study participants, 10,345 deaths occurred, with an all-cause mortality density of 131.09/10,000 person-years, of which 2,845 were cancer deaths, with a cancer mortality density of 36.05/10,000 person-years. There was a "J" shaped dose-response relat</pubmed_abstract><journal>PloS one</journal><pagination>e0311150</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11575760</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Fasting plasma glucose levels are associated with all-cause and cancer mortality: A population-based retrospective cohort study.</pubmed_title><pmcid>PMC11575760</pmcid><pubmed_authors>Gao Q</pubmed_authors><pubmed_authors>Wang M</pubmed_authors><pubmed_authors>Wang Q</pubmed_authors><pubmed_authors>Zhan B</pubmed_authors><pubmed_authors>Gan Z</pubmed_authors><pubmed_authors>Lu D</pubmed_authors></additional><is_claimable>false</is_claimable><name>Fasting plasma glucose levels are associated with all-cause and cancer mortality: A population-based retrospective cohort study.</name><description>Despite a growing body of research indicating a link between fasting glucose levels and mortality, the relationship between fasting glucose and all-cause and cancer mortality remains inconsistent. In this study, we used Cox regression and restricted cubic spline models to analyze the association and dose-response relationship between fasting plasma glucose levels and all-cause and cancer mortality in a retrospective cohort based on data from the 2015 health check-ups of residents in Quzhou City. After a mean follow-up of 5.31 years for 148,755 study participants, 10,345 deaths occurred, with an all-cause mortality density of 131.09/10,000 person-years, of which 2,845 were cancer deaths, with a cancer mortality density of 36.05/10,000 person-years. There was a "J" shaped dose-response relat</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024</publication><modification>2025-04-04T20:39:02.208Z</modification><creation>2025-04-04T20:39:02.208Z</creation></dates><accession>S-EPMC11575760</accession><cross_references><pubmed>39561141</pubmed><doi>10.1371/journal.pone.0311150</doi></cross_references></HashMap>