Evidence map›Paper›PMID 24282684›Full record

ReviewCardiovascular diagnosis and therapy2011

Computed tomography in the evaluation for transcatheter aortic valve implantation (TAVI).

Paul Schoenhagen, Jörg Hausleiter, Stephan Achenbach, Milind Y Desai, E Murat Tuzcu

Registry-linked trialAbstract readReview
In one paragraph

Review in Cardiovascular diagnosis and therapy, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05758701 (Dual Energy CT Decreased IV Contrast Dose Imaging for TAVR), which is not on this map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.1field-weighted citation impact, top 11% 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.

NCT05758701 phase4recruitingnot on this mapstarted 2023, after this paper: background citation

Dual Energy CT Decreased IV Contrast Dose Imaging for TAVR

TypeinterventionalSponsorUniversity of Maryland, BaltimoreRan2023 to 2028Enrolled164ConditionsTranscatheter Aortic Valve ReplacementArmsIodinated Contrast Agent (Omnipaque), Dual Energy CT
3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 50 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Noninvasive aortic imaging.Cardiovascular diagnosis and therapy · 2018
    Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
  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

5 authors at 1 institution in 1 country.

Paul SchoenhagenCleveland Clinic, Imaging Institute and Heart&Vascular Institute, Cleveland, USA;
Jörg Hausleiter
Stephan Achenbach
Milind Y Desai
E Murat Tuzcu
Cleveland Clinic · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

If left untreated, symptomatic, severe aortic stenosis (AS) is associated with a dismal prognosis. Open-heart surgical valve replacement is the treatment of choice and is associated with excellent short and long-term outcome. However, many older patients with multiple co-morbidities and anticipated increased surgical risk are excluded from surgical intervention. For these patients, transcatheter aortic valve implantation (TAVI) is emerging as a viable treatment alternative. Transcatheter valvular heart procedures are characterized by lack of exposure and visualization of the operative field, therefore relying on image guidance, both for patient selection and preparation and the implantation procedure itself. This article describes the role of multi-detector row computed tomography (MDCT) for detailed assessment of the aortic valve, aortic root, and iliac arteries in the context of TAVI.

Indexed as

Aortic stenosiscomputed tomographyimagingtranscatheter aortic valve implantation

Identifiers

PMID24282684
PMCPMC3839132
OpenAlexW2124394418

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.