Evidence map›Paper›PMID 23519584›Full record

ArticleClinical research in cardiology : official journal of the German Cardiac Society2013

Angiographic score assessment improves cardiovascular risk prediction: the clinical value of SYNTAX and Gensini application.

Christoph Sinning, Lars Lillpopp, Sebastian Appelbaum, Francisco Ojeda, Tanja Zeller, Renate Schnabel, Edith Lubos, Annika Jagodzinski, Till Keller, Thomas Munzel and 2 more

Registry-linked trialAbstract read
PubMed Publisher
In one paragraph

Article in Clinical research in cardiology : official journal of the German Cardiac Society, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04636112 (Effects of Sleep Habits on Acute Myocardial Infarction Risk and Severity of Coronary Artery Disease in Chinese Population), which is not on this map. Cited by 92 papers.

0numbers the graph read from it
0cells of the map it votes in
92citing papers in PubMed
11.3field-weighted citation impact, top 1% 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.

NCT04636112 completednot on this mapstarted 2019, after this paper: background citation

Effects of Sleep Habits on Acute Myocardial Infarction Risk and Severity of Coronary Artery Disease in Chinese Population

TypeobservationalSponsorThe First Affiliated Hospital with Nanjing Medical UniversityRan2019 to 2020Enrolled873ConditionsSleep Disorder, Acute Myocardial Infarction
3 · Its place in the literature

Who cites it

92 citing papers in PubMed, 182 citations in OpenAlex.

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  3. Influence of the Residual Gensini Score on Prognosis of Patients With ST-Elevation Myocardial Infarction.Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions · 2026
    Observational
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  9. Electrocardiographic R Wave Peak Time: Correlation With the Severity of Coronary Artery Disease and Prognosis in Patients With Acute Coronary Syndrome.Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions · 2025
    Article
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  11. Observational
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  18. Relationship between uric acid to HDL ratio and extent and severity of coronary artery disease.Postepy w kardiologii interwencyjnej = Advances in interventional cardiology · 2024
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  20. Article

32 more citing papers are in PubMed but not listed here.

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

12 authors at 5 institutions in 1 country.

Christoph SinningDepartment of General and Interventional Cardiology, University Heart Center Hamburg, Martinistr. 52, 20246 Hamburg, Germany.
Lars Lillpopp
Sebastian Appelbaum
Francisco Ojeda
Tanja Zeller
Renate Schnabel
Edith Lubos
Annika Jagodzinski
Till Keller
Thomas Munzel
Christoph Bickel
Stefan Blankenberg
University Medical Center Hamburg-Eppendorf · DEUniversität Hamburg · DEBundeswehrzentralkrankenhaus Koblenz · DEJohannes Gutenberg University Mainz · DEUniversity Medical Center of the Johannes Gutenberg University Mainz · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeverity of coronary artery disease (CAD) is related to cardiovascular outcome. We aimed to assess the long-term follow-up depending on Synergy between percutaneous coronary intervention with Taxus and cardiac surgery (SYNTAX) and Gensini score for prognosis. Both scores increase with complexity and thus reflect risk of cardiovascular events. METHODS AND

resultsWe determined complexity and extent of CAD by the SYNTAX and Gensini score in the AtheroGene cohort (N = 1,974, with 22.6 % women). The endpoint was non-fatal myocardial infarction (N = 132) and cardiovascular death (N = 159) over a median follow-up of 5.4 (Q1: 5.23/Q3: 5.57) years up to 8 years maximum (follow-up rate 99.4%). For SYNTAX score, the following distribution was used: low (≤22, N = 1,404), medium (23-32, N = 314), high score (>32, N = 256). Gensini score was split into thirds. Cox regression analysis showed a hazard ratio (HR) of 1.5 (95% confidence interval 1.16-1.95; p = 0.0024) for the log transformed SYNTAX score in a fully adjusted model and a HR of 1.41 (95% CI 1.13-1.77; p = 0.0025) for the Gensini score. The SYNTAX score alone had a C-index of 0.62, whereas adding clinical variables increased the C-index to 0.67. Similar results were obtained for the Gensini score. Regarding the SYNTAX score using net reclassification index, discrimination of events and non-events was enhanced by 37.2% in a model of clinical variables and biomarkers and by 31.8% for the Gensini score.

conclusionThe SYNTAX and Gensini score in combination with clinical variables could be used to predict the cardiovascular prognosis during a long-term follow-up of up to 8 years in CAD patients.

Indexed as

AgedCohort StudiesCoronary AngiographyCoronary Artery DiseaseFemaleFollow-Up StudiesHumansMaleMiddle AgedMyocardial InfarctionPercutaneous Coronary InterventionPrognosisProportional Hazards ModelsRiskRisk FactorsSeverity of Illness Index

Identifiers

PMID23519584
OpenAlexW2088192954

What OpenQuestion holds

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Registered trials

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.