Evidence map›Paper›PMID 34930134›Full record

Observational studyBMC cardiovascular disorders2021

Plasma atherogenic indices are independent predictors of slow coronary flow.

Abdulmecit Afsin, Hakan Kaya, Arif Suner, Kader Eliz Uzel, Nurbanu Bursa, Yusuf Hosoglu, Fethi Yavuz, Ramazan Asoglu

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC cardiovascular disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 7% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. The predictors of coronary slow flow in patients undergoing coronary angiography.The Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology · 2024
    Article
  15. Article
  16. Article
  17. Coronary slow flow research: a bibliometric analysis.European journal of medical research · 2023
    Article
  18. Article
  19. Evaluation of Atherosclerotic Risk by Oxidative Contributors in Alcohol Use Disorder.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2023
    Article
  20. 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

8 authors at 2 institutions in 1 country.

Abdulmecit AfsinDepartment of Cardiology, Adiyaman Training and Research Hospital, Adiyaman, Turkey.
Hakan KayaDepartment of Cardiology, Faculty of Medicine, Adiyaman University, Adiyaman, Turkey. kardiyolog02@gmail.com.
Arif SunerDepartment of Cardiology, Faculty of Medicine, Adiyaman University, Adiyaman, Turkey.
Kader Eliz UzelDepartment of Cardiology, Adiyaman Training and Research Hospital, Adiyaman, Turkey.
Nurbanu BursaDepartment of Statistics, Faculty of Science, Hacettepe University, Ankara, Turkey.
Yusuf HosogluDepartment of Cardiology, Adiyaman Training and Research Hospital, Adiyaman, Turkey.
Fethi YavuzDepartment of Cardiology, Faculty of Medicine, Adiyaman University, Adiyaman, Turkey.
Ramazan AsogluDepartment of Cardiology, Adiyaman Training and Research Hospital, Adiyaman, Turkey.
Adıyaman University · TRHacettepe University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough the pathophysiology of coronary slow flow (CSF) has not been fully elucidated, emerging data increasingly support potential role for subclinical diffuse atherosclerosis in the etiology of CSF. We aimed to investigate relationship between atherogenic indices and CSF.

methods130 patients with CSF diagnosed according to Thrombolysis in Myocardial Infarction (TIMI)-frame count (TFC) method and 130 controls who had normal coronary flow (NCF) were included in this retrospective study. Atherogenic indices (atherogenic index of plasma [AIP], Castelli risk indices I and II [CRI-I and II]) were calculated using conventional lipid parameters.

resultsThe logistic regression analyses demonstrated that AIP (OR, 5.463; 95% confidence interval [CI], 1.357-21.991; p = 0.017) and CRI-II (OR, 1.624; 95% CI, 1.138-2.319; p = 0.008) were independent predictors of CSF. Receiver operating characteristic analysis showed that the optimal cutoff value to predict the occurrence of CSF was 0.66 for AIP (sensitivity, 59%; specificity, 73%; area under curve [AUC], 0.695; p < 0.001) and 3.27 for CRI-II (sensitivity, 60%; specificity, 79%; AUC, 0.726; p < 0.001).

conclusionsAIP and CRI-II levels were independent predictors of CSF. Prospective studies in larger cohorts of patients may elucidate the role of atherogenic dyslipidemia in the pathophysiology of CSF.

Indexed as

Coronary CirculationBiomarkersBlood Flow VelocityCoronary Artery DiseaseDyslipidemiasFemaleHeart Disease Risk FactorsHumansLipidsMaleMiddle AgedNo-Reflow PhenomenonPredictive Value of TestsRetrospective StudiesRisk AssessmentBiomarkersLipidsAtherogenic index of plasmaCardiovascular risk factorsCastelli risk indicesCoronary arteryCoronary interventionCoronary slow flowFrame count

Identifiers

PMID34930134
PMCPMC8686646
OpenAlexW4200271107

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.