Evidence map›Paper›PMID 35525841›Full record

ArticleScientific reports2022

Classification of severe aortic stenosis and outcomes after aortic valve replacement.

Yura Ahn, Se Jin Choi, Soyeoun Lim, Joon Bum Kim, Jong-Min Song, Duk-Hyun Kang, Jae-Kwan Song, Hwa Jung Kim, Joon-Won Kang, Dong Hyun Yang and 2 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2022. 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
1.5field-weighted citation impact, top 17% 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, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  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

12 authors at 3 institutions in 1 country.

Yura Ahn *Department of Radiology and Research Institute of Radiology, Cardiac Imaging Center, Asan Medical Center, University of Ulsan College of Medicine, Olympic-ro, 388-1, Seoul, 05505, South Korea.
Se Jin Choi *Department of Radiology and Research Institute of Radiology, Cardiac Imaging Center, Asan Medical Center, University of Ulsan College of Medicine, Olympic-ro, 388-1, Seoul, 05505, South Korea.
Soyeoun LimDepartment of Radiology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, South Korea.
Joon Bum KimDepartment of Cardiothoracic Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
Jong-Min SongDivision of Cardiology, Cardiac Imaging Center, Asan Medical Center, University of Ulsan College of Medicine, Olympic-ro, 388-1, Seoul, 05505, South Korea.
Duk-Hyun KangDivision of Cardiology, Cardiac Imaging Center, Asan Medical Center, University of Ulsan College of Medicine, Olympic-ro, 388-1, Seoul, 05505, South Korea.
Jae-Kwan SongDivision of Cardiology, Cardiac Imaging Center, Asan Medical Center, University of Ulsan College of Medicine, Olympic-ro, 388-1, Seoul, 05505, South Korea.
Hwa Jung KimDepartment of Clinical Epidemiology and Biostatistics, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
Joon-Won KangDepartment of Radiology and Research Institute of Radiology, Cardiac Imaging Center, Asan Medical Center, University of Ulsan College of Medicine, Olympic-ro, 388-1, Seoul, 05505, South Korea.
Dong Hyun YangDepartment of Radiology and Research Institute of Radiology, Cardiac Imaging Center, Asan Medical Center, University of Ulsan College of Medicine, Olympic-ro, 388-1, Seoul, 05505, South Korea.
Dae-Hee KimDivision of Cardiology, Cardiac Imaging Center, Asan Medical Center, University of Ulsan College of Medicine, Olympic-ro, 388-1, Seoul, 05505, South Korea. daehee74@amc.seoul.kr.
Hyun Jung KooDepartment of Radiology and Research Institute of Radiology, Cardiac Imaging Center, Asan Medical Center, University of Ulsan College of Medicine, Olympic-ro, 388-1, Seoul, 05505, South Korea. radkoo@amc.seoul.kr.
Ulsan College · KRUniversity of Ulsan · KRAsan Medical Center · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aortic valve calcium scoring by cardiac computed tomographic (CT) has been recommended as an alternative to classify the AS (aortic stenosis) severity, but it is unclear that whether CT findings would have additional value to discriminate significant AS subtypes including high gradient severe AS, classic low-flow, low gradient (LF-LG) AS, paradoxical LF-LG AS, and moderate AS. In this study, we examined the preoperative clinical and cardiac CT findings of different subtypes of AS in patients with surgical aortic valve replacement (AVR) and evaluated the subtype classification as a factor affecting post-surgical outcomes. This study included 511 (66.9 ± 8.8 years, 55% men) consecutive patients with severe AS who underwent surgical AVR. Aortic valve area (AVA) was obtained by echocardiography (AVA

Indexed as

Aortic Valve StenosisHeart Valve ProsthesisHeart Valve Prosthesis ImplantationAortic ValveFemaleHumansMaleSeverity of Illness IndexStroke VolumeTreatment Outcome

Identifiers

PMID35525841
PMCPMC9079063
OpenAlexW4229031395

What OpenQuestion holds

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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.