Evidence map›Paper›PMID 31779861›Full record

ArticleIndian heart journal

A milestone in prediction of the coronary artery dimensions from the multiple linear regression equation.

A Divia Paul, S M Ashraf, J Ezhilan, S Vijayakumar, Anuj Kapadiya

Abstract read
In one paragraph

Article in Indian heart journal. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Coronary artery size based on intravascular ultrasound in Southeast Asia population.The Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology · 2024
    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.

A Divia PaulDepartment of Anatomy, Yenepoya Medical College, Mangalore-575018, Karnataka, India. Electronic address: divia_manoj@yahoo.com.
S M AshrafDepartment of Cardio Vascular Sciences, Sahakarana Hrudayalaya, Pariyaram Medical College, Kannur, Kerala, 670503, India. Electronic address: ashsmfz@yahoo.com.
J EzhilanDepartment of Cardiology, Madras Medical Mission, Chennai, Tamil Nadu, 670503, India. Electronic address: ezhilheart@yahoo.co.in.
S VijayakumarDepartment of Cardiology, Madras Medical Mission, Chennai, Tamil Nadu, 670503, India. Electronic address: drvijay1977@gmail.com.
Anuj KapadiyaDepartment of Cardiology, Care Hospital, Banjara Hills, Hyderabad, Hyderabad, 500034, India. Electronic address: anuj914@yahoo.co.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACHGROUND /

aimCoronary artery imaging is one of the most commonly used diagnostic methods. We aimed to investigate whether there is a correlation between left main coronary artery (LMCA), left anterior descending artery (LAD) and left circumflex artery (LCx) artery dimensions in normal cases and a possibility to express the coronary dimensions by multiple linear equations. MATERIALS AND

methodsImages of coronary angiograms of 925 normal cases selected from 3855 cases made up the study population (515 men and 410 women; age range, 30-75 years). The mean age of the patients was 55.50 ± 6.49 years. The mean body mass index was 24.79 ± 1.45 kg/m

resultsThere was a strong correlation between LMCA dimensions and LAD and LCx dimensions (r = 0.526**, p < 0.001* and r = 0.469**, p < 0.001*, respectively). The positive correlation indicated that a regression analysis can be carried out by incorporating the measurements. Coronary artery dimensions were gender specific.

conclusionThe present study explored the possibility of explaining the relationship with the LMCA and its branches by multiple linear equations, which may then be used to estimate the reference diameter of a stenosed coronary artery when the other two arteries are normal.

Indexed as

AdultAgedCoronary AngiographyCoronary VesselsFemaleHumansLinear ModelsMaleMiddle AgedPredictive Value of TestsReference ValuesSex FactorsApplicationsCoronary artery measurementsCorrelationsMultiple linear regression analysis

Identifiers

PMID31779861
PMCPMC6890961

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.