Evidence map›Paper›PMID 28345646›Full record

ArticleScientific reports2017

Association of high normal HbA1c and TSH levels with the risk of CHD: a 10-year cohort study and SVM analysis.

Hui Li, Ying Cui, Yanan Zhu, Haiying Yan, Wenge Xu

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.1field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Diagnostic and Prognostic Biomarkers for Myocardial Infarction.Frontiers in cardiovascular medicine · 2020
    Review
  9. Article
  10. Article
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Hui LiDepartment of Health Administration, Affiliated Central Hospital of Xinxiang Medical University, Xinxiang Central Hospital, Xinxiang, Henan, China.
Ying CuiDepartment of Health Administration, Affiliated Central Hospital of Xinxiang Medical University, Xinxiang Central Hospital, Xinxiang, Henan, China.
Yanan ZhuDepartment of Health Administration, Affiliated Central Hospital of Xinxiang Medical University, Xinxiang Central Hospital, Xinxiang, Henan, China.
Haiying YanDepartment of Health Administration, Affiliated Central Hospital of Xinxiang Medical University, Xinxiang Central Hospital, Xinxiang, Henan, China.
Wenge XuDepartment of Health Administration, Affiliated Central Hospital of Xinxiang Medical University, Xinxiang Central Hospital, Xinxiang, Henan, China.
Xinxiang Medical University · CNXinxiang Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to determine the association between the clinical reference range of serum glycated hemoglobin A1c (HbA1c) and thyrotropin (TSH) and the risk of coronary heart disease (CHD) in non-diabetic and euthyroid patients. We examined baseline HbA1c and TSH in 538 healthy participants, and then analyzed the associations and potential value of these indicators for predicting CHD using Cox proportional hazard and support vector machine analyses. During the median follow-up of 120 months, 39 participants later developed CHD. The baseline HbA1c and TSH within the reference range were positively associated with CHD risk. No correlation and interaction were found between the baseline HbA1c and TSH for the development of CHD. Disease event-free survival varied among participants with different baseline HbA1c quintiles, whereas disease event-free survival was similar for different TSH tertiles. The combination of these baselines showed sensitivity of 87.2%, specificity of 92.7%, and accuracy of 92.3% for identifying the participants who will later develop CHD. Relatively high but clinically normal HbA1c and TSH levels may increase the risk of CHD. Therefore, the combination of these indicators can serve as a biomarker for identifying healthy individuals from those who would later develop CHD.

Indexed as

BiomarkersCohort StudiesCoronary DiseaseDisease-Free SurvivalFemaleFollow-Up StudiesGlycated HemoglobinHumansMaleMiddle AgedReference ValuesRisk FactorsSupport Vector MachineThyrotropinBiomarkersGlycated Hemoglobinhemoglobin A1c protein, humanThyrotropin

Identifiers

PMID28345646
PMCPMC5366946
OpenAlexW2602666158

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.