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Paper · 42952496

Glycemic biomarkers and cardiovascular disease in diabetes: a comparative analysis of population-based and clinical cohorts.

Zhang L and 7 others. Front Endocrinol (Lausanne), 2026.

11 sourcespapers-2026-11-12-0.1.0

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ConductScience Library. Glycemic biomarkers and cardiovascular disease in diabetes: a comparative analysis of population-based and clinical cohorts. Papers, record 42952496. Release papers-2026-11-12-0.1.0, 12 Nov 2026. https://conductscience.org/library/papers/42952496

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Paper

PubMed's record of the paper, with iCite's citation figures. No abstract is shown.

Title
Glycemic biomarkers and cardiovascular disease in diabetes: a comparative analysis of population-based and clinical cohorts.
Journal
Front Endocrinol (Lausanne)
Year
2026
Publication types
Journal Article, Comparative Study
Revised in PubMed
2026-10-30

Source PubMed

Authors8

The authors in the order PubMed's record lists them, with the ORCID iDs it states.

OrderAuthorForenameKindORCID iD
1Zhang LLihong
2Liu MMeng
3Zhang YYu
4Zhao LLiyuan
5Liu YYunjiang
6Wang RRui
7Zhou JJuan
8Li KKun

Source PubMed

Topics18

NLM's MeSH indexing of the paper, its major topics first.

MeSH termMajor
Cardiovascular DiseasesMajor topic
BiomarkersMajor topic
Blood GlucoseMajor topic
Diabetes MellitusMajor topic
Humans
Female
Male
Glycated Hemoglobin
Cross-Sectional Studies
Middle Aged
Cohort Studies
Nutrition Surveys
Triglycerides
Adult
Aged
Prevalence
Risk Factors
China

Source PubMed

Grants0

Each grant PubMed's record writes, matched to the NIH project NIH's grant and paper links name for this paper, and each of those links the record does not write.

None in this release.

Trials0

The trials whose ClinicalTrials.gov record lists the paper, and the trial numbers the paper's PubMed record names.

None in this release.

Comments and corrections0

PubMed's comments and corrections, NLM's own indexing: retractions first, then expressions of concern, errata and updates, and comments last.

None in this release.

References37

The papers the reference list in PubMed's record names, those in our copy of PubMed, in the list's order.

OrderPMIDTitleJournalYearIn PapersSource
141,358,8932. Diagnosis and Classification of Diabetes: Standards of Care in Diabetes-2026.Diabetes Care2026https://conductscience.org/library/papers/41358893PubMed
238,824,007The link between diabetes and cardiovascular disease.Atherosclerosis2024https://conductscience.org/library/papers/38824007PubMed
330,828,746Epidemiology of Diabetes Mellitus and Cardiovascular Disease.Curr Cardiol Rep2019https://conductscience.org/library/papers/30828746PubMed
431,722,562Diabetes as a cardiovascular risk factor: An overview of global trends of macro and micro vascular complications.Eur J Prev Cardiol2019https://conductscience.org/library/papers/31722562PubMed
527,881,363Association between prediabetes and risk of cardiovascular disease and all cause mortality: systematic review and meta-analysis.BMJ2016https://conductscience.org/library/papers/27881363PubMed
633,495,378Diabetes Mellitus, Glycemic Traits, and Cerebrovascular Disease: A Mendelian Randomization Study.Neurology2021https://conductscience.org/library/papers/33495378PubMed
735,524,263Triglyceride-glucose index as a marker in cardiovascular diseases: landscape and limitations.Cardiovasc Diabetol2022https://conductscience.org/library/papers/35524263PubMed
838,851,022The burden of cardiovascular disease attributable to high fasting plasma glucose:Findings from the global burden of disease study 2019.Diabetes Metab Syndr2024https://conductscience.org/library/papers/38851022PubMed
932,459,609Cardiovascular Disease among Patients with Diabetes: The Current Scenario in Saudi Arabia.Curr Diabetes Rev2021https://conductscience.org/library/papers/32459609PubMed
1037,848,879The triglyceride-glucose index is a predictor for cardiovascular and all-cause mortality in CVD patients with diabetes or pre-diabetes: evidence from NHANES 2001-2018.Cardiovasc Diabetol2023https://conductscience.org/library/papers/37848879PubMed

Cited by0

The papers in our copy of PubMed whose reference list names this one, newest first.

None in this release.

Genes0

The genes the Gene search release ties to the paper: Swiss-Prot's references first, then PubTator's text mining.

None in this release.

Drugs0

The drugs whose trials, in the Pipelines release, list the paper.

None in this release.

Data0

The data bank entries PubMed's record names. Trial numbers are under Trials.

None in this release.

Data dates

The date of each source this release read.

PubMed
2026-11-06
PubMed
iCite
2026-11-05
iCite
PMC's ID file
2026-11-05
PMC's ID file
NIH RePORTER's grant and paper links
2026-11-01
NIH RePORTER's grant and paper links
Trials
2026-11-12
Gene search
2026-11-11
Pipelines
2026-09-18

Sources 11

  • ChEMBL, through Open TargetsCC BY-SA 3.0
  • ClinicalTrials.govNo license stated
  • HGNCCC0
  • iCiteCC BY 4.0
  • NCBI GenePublic domain (US government)
  • NIH RePORTER's grant and paper linksPublic domain
  • Open TargetsCC0 1.0
  • PMC's ID filePublic domain (US government)
  • PubMedNLM's terms
  • PubTator 3Public domain
  • UniProtCC BY 4.0
Each source's terms
  • ChEMBL, through Open TargetsCC BY-SA 3.0, for the parts from ChEMBL. Read on 8 Nov 2026 at https://platform-docs.opentargets.org/licence
  • ClinicalTrials.govnone stated
  • HGNCCC0: https://www.genenames.org/about/license/
  • iCiteCC BY 4.0
  • NCBI GeneNone named for the file. NCBI says information created by or for the US government on its site is in the public domain, and asks that NLM be acknowledged: https://www.ncbi.nlm.nih.gov/home/about/policies/
  • NIH RePORTER's grant and paper linksPublic domain (NIH RePORTER)
  • Open TargetsCC0 1.0. Open Targets asks that users cite its latest paper: Buniello et al. 2025, Open Targets Platform: facilitating therapeutic hypotheses building in drug discovery, Nucleic Acids Research 53(D1):D1467, PMID 39657122. Read on 8 Nov 2026 at https://platform-docs.opentargets.org/licence
  • PMC's ID fileNone named for the file. NCBI says information created by or for the US government on its site is in the public domain, and asks that NLM be acknowledged: https://www.ncbi.nlm.nih.gov/home/about/policies/
  • PubMedNLM's terms
  • PubTator 3Public domain
  • UniProtCC BY 4.0. UniProt's licence file: "All databases and documents in the UniProt FTP directory may be copied and redistributed freely, without advance permission, provided that this copyright statement is reproduced with each copy." UniProt asks that users cite its latest paper: The UniProt Consortium, UniProt: the Universal Protein Knowledgebase in 2025, Nucleic Acids Research 53:D609-D617, https://doi.org/10.1093/nar/gkae1010. Read on 9 Nov 2026 at https://www.uniprot.org/help/license

ClinicalTrials.gov's data carry an international copyright outside the United States: https://clinicaltrials.gov/about-site/terms-conditions.

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