Evidence map›Paper›PMID 35904726›Full record

ArticleGeneral thoracic and cardiovascular surgery2023

Surgical aortic valve replacement provides better left ventricular mass regression than transcatheter aortic valve replacement in patients with small aortic annulus.

Kosaku Nishigawa, Yohei Onga, Kohei Uemura, Tomoki Shimokawa, Toshihiro Fukui

Abstract read
PubMed Publisher
In one paragraph

Article in General thoracic and cardiovascular surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. 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.

Kosaku NishigawaDepartment of Cardiovascular Surgery, Kumamoto University Hospital, 1-1-1, Honjo, Chuo-ku, Kumamoto, 860-8556, Japan. nippie550102@yahoo.co.jp.
Yohei OngaDepartment of Cardiovascular Surgery, Sakakibara Heart Institute, Tokyo, Japan.
Kohei UemuraBiostatistics and Bioinformatics Course, The University of Tokyo, Tokyo, Japan.
Tomoki ShimokawaDepartment of Cardiovascular Surgery, Sakakibara Heart Institute, Tokyo, Japan.
Toshihiro FukuiDepartment of Cardiovascular Surgery, Kumamoto University Hospital, 1-1-1, Honjo, Chuo-ku, Kumamoto, 860-8556, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to evaluate the incidence of patient-prosthesis mismatch (PPM) and degree of left ventricular (LV) mass regression after surgical aortic valve replacement (SAVR) and transcatheter aortic valve replacement (TAVR) in patients with small aortic annulus (defined as annular diameter of ≤ 21 mm).

methodsWe retrospectively analyzed echocardiographic findings in total of 277 patients with aortic stenosis and small aortic annulus (63 underwent SAVR and 214 underwent TAVR) between October 2013 and March 2019. PPM was defined as an effective orifice area index (EOAI) ≤ 0.85 cm

resultsThe median EOAI before discharge was slightly larger in the TAVR group than in the SAVR group (1.09 vs. 1.07 cm

conclusionsSAVR provides better LV mass regression than TAVR with a comparable rate of PPM in patients with small aortic annulus.

Indexed as

Aortic Valve StenosisHeart Valve ProsthesisHeart Valve Prosthesis ImplantationTranscatheter Aortic Valve ReplacementAortic ValveHumansRetrospective StudiesRisk FactorsTreatment OutcomeLeft ventricular mass regressionPatient–prosthesis mismatchSmall aortic annulusSurgical aortic valve replacementTranscatheter aortic valve replacement

Identifiers

What OpenQuestion 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 OpenQuestion graph.