Evidence map›Paper›PMID 32904696›Full record

ArticleThe International journal of angiology : official publication of the International College of Angiology, Inc2020

Coronary Angiography Characteristics as Predictor of Successful Chronic Total Occlusion Recanalization.

Yudi Her Oktaviono, Ardian Rizal, Makhyan Jibril Al-Farabi, Irma Maghfirah, Dita Aulia Rachmi

Open access · greenAbstract read
In one paragraph

Article in The International journal of angiology : official publication of the International College of Angiology, Inc, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.7field-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

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

5 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Article
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  4. Article
  5. 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

5 authors at 2 institutions in 1 country.

Yudi Her OktavionoDepartment of Cardiology and Vascular Medicine, Airlangga University, East Java, Indonesia.
Ardian RizalDepartement of Cardiology and Vascular Medicine, Faculty of Medicine Brawijaya University-Dr. Saiful Anwar General Hospital, East Java, Indonesia.
Makhyan Jibril Al-FarabiDepartment of Cardiology and Vascular Medicine, Airlangga University, East Java, Indonesia.
Irma MaghfirahDepartment of Cardiology and Vascular Medicine, Airlangga University, East Java, Indonesia.
Dita Aulia RachmiDepartment of Cardiology and Vascular Medicine, Airlangga University, East Java, Indonesia.
Airlangga University · IDUniversity of Brawijaya · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although remarkable progress in percutaneous coronary intervention (PCI) has been achieved over the last decade, the success rate of chronic total occlusion (CTO) recanalization varies greatly. Coronary angiography characteristics may affect the success rate of CTO recanalization. This study sought to establish a scoring model to predict successful CTO recanalization based on coronary angiography characteristics. We analyze 287 angiography data from patients who underwent elective PCI. Angiography characteristics being measured were lesion location, blunt stump, calcification, ostial lesion, bridging collateral, bending, side branch, tortuosity, previous stent attempt, and lesion length of >20 mm. Data were analyzed using SPSS 25.0. Multivariate analysis shows that side branch lesion (

Indexed as

angiographyangioplastyCTOrecanalizationscore

Identifiers

PMID32904696
PMCPMC7458726
OpenAlexW3038242314

What Socratic holds

Textmetadata
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.