Evidence map›Paper›PMID 31864310›Full record

ArticleBMC cardiovascular disorders2019

Glycated hemoglobin predicts coronary artery disease in non-diabetic adults.

Mohammed Ewid, Hossam Sherif, Syed Muhammad Baqui Billah, Nazmus Saquib, Wael AlEnazy, Omer Ragab, Saed Enabi, Tawfik Rajab, Zaki Awad, Rami Abazid

Open access · goldAbstract read
In one paragraph

Article in BMC cardiovascular disorders, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

14 citing papers in PubMed, 20 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
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

10 authors at 4 institutions in 3 countries.

Mohammed EwidCollege of Medicine, Sulaiman Al Rajhi Colleges, P.O. Box 777, Al Bukayriah, Qassim 51941, Saudi Arabia. drmohammedowid@yahoo.com.ORCID 0000-0001-8118-6975
Hossam SherifCollege of Medicine, Sulaiman Al Rajhi Colleges, P.O. Box 777, Al Bukayriah, Qassim 51941, Saudi Arabia.
Syed Muhammad Baqui BillahCollege of Medicine, Sulaiman Al Rajhi Colleges, P.O. Box 777, Al Bukayriah, Qassim 51941, Saudi Arabia.
Nazmus SaquibCollege of Medicine, Sulaiman Al Rajhi Colleges, P.O. Box 777, Al Bukayriah, Qassim 51941, Saudi Arabia.
Wael AlEnazyCollege of Medicine, Sulaiman Al Rajhi Colleges, P.O. Box 777, Al Bukayriah, Qassim 51941, Saudi Arabia.
Omer RagabCollege of Medicine, Sulaiman Al Rajhi Colleges, P.O. Box 777, Al Bukayriah, Qassim 51941, Saudi Arabia.
Saed EnabiCollege of Medicine, Sulaiman Al Rajhi Colleges, P.O. Box 777, Al Bukayriah, Qassim 51941, Saudi Arabia.
Tawfik RajabCollege of Medicine, Sulaiman Al Rajhi Colleges, P.O. Box 777, Al Bukayriah, Qassim 51941, Saudi Arabia.
Zaki AwadPrince Sultan Cardiac Center, Ministry of Health, Al Qassim, Qassim 52366, Buraydah, 7430 An Naziyah, Saudi Arabia.
Rami AbazidPrince Sultan Cardiac Center, Ministry of Health, Al Qassim, Qassim 52366, Buraydah, 7430 An Naziyah, Saudi Arabia.
Sulaiman Al Rajhi Colleges · SACairo University · EGLondon Health Sciences Centre · CASaud Al-babtain Cardiac Centre · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoronary artery disease (CAD) is a major cause of morbidity and mortality worldwide. Due to increased CAD risk factors in Saudi Arabia, research on more feasible and predictive biomarkers is needed. We aimed to evaluate glycated hemoglobin (HbA1c) as a predictor of CAD in low-risk profile non-diabetic patients living in the Al Qassim region of Saudi Arabia.

methodsThirty-eight patients with no history of CAD were enrolled in this cross-sectional study. They provided demographic data, and their HbA1c estimation followed the National Glycohemoglobin Standardization Program parameters. All patients underwent coronary computed tomography angiography (CCTA) for evaluation of chest pain. The extent of coronary artery stenosis (CAS) was quantified as percentage for each patient based on plaques detected in CCTA.

resultsMean blood pressure of the patients was (91.2 ± 11.9 mmHg), BMI (28.3 ± 5.8 kg/m

conclusionGlycated hemoglobin can be used as a predictive biomarker for CAD in non-diabetic low-risk patients.

Indexed as

AdultBiomarkersCoronary AngiographyCoronary Artery DiseaseCoronary StenosisCross-Sectional StudiesFemaleGlycated HemoglobinHumansMaleMiddle AgedPlaque, AtheroscleroticPredictive Value of TestsRisk FactorsSaudi ArabiaSeverity of Illness IndexBiomarkersGlycated Hemoglobinhemoglobin A1c protein, humanCAD risk factorsCoronary artery diseaseHbA1c

Identifiers

PMID31864310
PMCPMC6925462
OpenAlexW2994669601

What Socratic 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 Socratic graph.