Evidence map›Paper›PMID 30449985›Full record

ArticleActa Cardiologica Sinica2018

Hyperhomocysteinemia Predicts the Severity of Coronary Artery Disease as Determined by the SYNTAX Score in Patients with Acute Coronary Syndrome.

Muhammed Karadeniz, Taner Sarak, Mustafa Duran, Caglar Alp, Huseyin Kandemir, İbrahim Etem Celik, Vedat Simsek, Alparslan Kılıc

Open access · greenAbstract read
In one paragraph

Article in Acta Cardiologica Sinica, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

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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

13 citing papers in PubMed, 22 citations in OpenAlex.

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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

8 authors at 2 institutions in 2 countries.

Muhammed KaradenizDepartment of Cardiology, Kırıkkale University, Yahşihan 71450, Kırıkkale.
Taner SarakDepartment of Cardiology, Kırıkkale University, Yahşihan 71450, Kırıkkale.
Mustafa DuranDepartment of Cardiology, Ankara Education and Research Hospital, Altındag 06230, Ankara, Turkey.
Caglar AlpDepartment of Cardiology, Kırıkkale University, Yahşihan 71450, Kırıkkale.
Huseyin KandemirDepartment of Cardiology, Kırıkkale University, Yahşihan 71450, Kırıkkale.
İbrahim Etem CelikDepartment of Cardiology, Ankara Education and Research Hospital, Altındag 06230, Ankara, Turkey.
Vedat SimsekDepartment of Cardiology, Kırıkkale University, Yahşihan 71450, Kırıkkale.
Alparslan KılıcDepartment of Cardiology, Ankara Education and Research Hospital, Altındag 06230, Ankara, Turkey.
Yahoo (Spain) · ESMemorial Ankara Hospital · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHyperhomocysteinemia is a known risk factor for acute coronary syndrome (ACS) and is related with the severity of coronary artery disease (CAD). Previous studies have used less quantifiable scoring systems for assessing the severity of CAD. Therefore, we aimed to assess the relationship between homocysteine levels and SYNTAX score (SXscore), which is currently more widely used to grade the severity of CAD.

methodsA total of 503 patients with adiagnosis of ACS were examined angiographically with SXscore. The patients were divided into three groups according to SXscore; Group 1 a low SXscore (≤ 22), Group 2 a moderate SXscore (23-32), and Group 3 a high SXscore (≥ 33).

resultsPlasma homocysteine levels were 16.3 ± 6.2 nmol/mL in Group 1, 18.1 ± 9.6 nmol/mL in Group 2, and 19.9 ± 9.5 nmol/mL in Group 3. Homocysteine levels were significantly higher in Group 2, and Group 3 compared to Group 1 (p = 0.023 and 0.007, respectively). In the correlation analysis, homocysteine levels were correlated with SXscore (r: 0.166, p < 0.01).

conclusionsSerum homocysteine levels on admission were associated with an increased severity of CAD in the patients with ACS.

Indexed as

Acute coronary syndromeCoronary artery diseaseHomocysteineSYNTAX score

Identifiers

PMID30449985
PMCPMC6236564
OpenAlexW3012375316

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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.