Evidence map›Paper›PMID 31882777›Full record

ArticleScientific reports2019

Diagnostic accuracy of computed tomography angiography for the exclusion of coronary artery disease in candidates for transcatheter aortic valve implantation.

Christopher Strong, António Ferreira, Rui Campante Teles, Gustavo Mendes, João Abecasis, Gonçalo Cardoso, Sara Guerreiro, Pedro Freitas, Ana Coutinho Santos, Carla Saraiva and 6 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
3.2field-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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
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  8. Combined CT Coronary Artery Assessment and TAVI Planning.Diagnostics (Basel, Switzerland) · 2023
    Review
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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

16 authors at 1 institution in 1 country.

Christopher StrongHospital de Santa Cruz, Cardiology department, Lisboa, 2790-134, Portugal. christopherstrong479@yahoo.com.
António FerreiraHospital de Santa Cruz, Cardiology department, Lisboa, 2790-134, Portugal.
Rui Campante TelesHospital de Santa Cruz, Cardiology department, Lisboa, 2790-134, Portugal.ORCID http://orcid.org/0000-0002-7952-6878
Gustavo MendesHospital de Santa Cruz, Cardiology department, Lisboa, 2790-134, Portugal.
João AbecasisHospital de Santa Cruz, Cardiology department, Lisboa, 2790-134, Portugal.
Gonçalo CardosoHospital de Santa Cruz, Cardiology department, Lisboa, 2790-134, Portugal.
Sara GuerreiroHospital de Santa Cruz, Cardiology department, Lisboa, 2790-134, Portugal.
Pedro FreitasHospital de Santa Cruz, Cardiology department, Lisboa, 2790-134, Portugal.ORCID http://orcid.org/0000-0001-9968-477X
Ana Coutinho SantosHospital de Santa Cruz, Radiology department, Lisboa, 2790-134, Portugal.
Carla SaraivaHospital de Santa Cruz, Radiology department, Lisboa, 2790-134, Portugal.
João BritoHospital de Santa Cruz, Cardiology department, Lisboa, 2790-134, Portugal.
Luís RaposoHospital de Santa Cruz, Cardiology department, Lisboa, 2790-134, Portugal.
Pedro de Araújo GonçalvesHospital de Santa Cruz, Cardiology department, Lisboa, 2790-134, Portugal.
Henrique Mesquita GabrielHospital de Santa Cruz, Cardiology department, Lisboa, 2790-134, Portugal.
Manuel de Sousa AlmeidaHospital de Santa Cruz, Cardiology department, Lisboa, 2790-134, Portugal.
Miguel MendesHospital de Santa Cruz, Cardiology department, Lisboa, 2790-134, Portugal.
Hospital de Santa Cruz · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronary CT angiography (CTA) is currently considered a reliable method to exclude obstructive coronary artery disease (CAD) before valvular heart surgery in patients with low pretest probability. However, its role in excluding obstructive CAD before transcatheter aortic valve implantation (TAVI) is less well established. Single-center retrospective study where patients with severe symptomatic aortic stenosis underwent both CTA and invasive coronary angiography (ICA) as part of TAVI planning. CTA exams were conducted on a 64-slice dual source scanner, with a median interval of 45 days to ICA (IQR 25-75 [13-82]). In both tests, obstructive CAD was defined as a ≥50% stenosis in an epicardial vessel ≥2 mm diameter. Per-patient, per-vessel and per-proximal segment analyses were conducted, excluding and including non-evaluable segments. The study included 200 patients (120 women, mean age 83 ± 6 years). The prevalence of obstructive CAD on ICA was 35.5% (n = 71). On a per-patient analysis (assuming non-evaluable segments as stenotic), CTA showed sensitivity of 100% (95% CI, 95-100%), specificity of 42% (95% CI, 33-51%), and positive and negative predictive values of 48% (95% CI, 44-51%) and 100% (95% CI, 92-100%), respectively. CTA was able to exclude obstructive CAD in 54 patients (27%), in whom ICA could have been safely withheld. Despite the high rate of inconclusive tests, pre-procedural CTA is able to safely exclude obstructive CAD in a significant proportion of patients undergoing TAVI, possibly avoiding the need for ICA in roughly one quarter of the cases.

Indexed as

AgedAged, 80 and overComputed Tomography AngiographyCoronary AngiographyCoronary Artery DiseaseCoronary StenosisFemaleHumansMaleMultidetector Computed TomographyMyocardial Perfusion ImagingPredictive Value of TestsRetrospective StudiesSensitivity and SpecificityTranscatheter Aortic Valve Replacement

Identifiers

PMID31882777
PMCPMC6934755
OpenAlexW2997889290

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.