Evidence map›Paper›PMID 35438477›Full record

ReviewHigh blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension2022

New Evidence About Aortic Valve Stenosis and Cardiovascular Hemodynamics.

Costantino Mancusi, Edda Bahlmann, Christian Basile, Eva Gerdts

Open access · hybridAbstract readReview
In one paragraph

Review in High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 14% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Discordant High-Gradient Aortic Stenosis: A Systematic Review.Journal of cardiovascular development and disease · 2025
    Review
  6. Article
  7. Article
  8. 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

4 authors at 4 institutions in 3 countries.

Costantino MancusiDepartment of Advanced Biomedical Science, Federico II University of Naples, Via Pansini 5, 80131, Napoli, Italy. costantino.mancusi@unina.it.ORCID http://orcid.org/0000-0001-6690-1408
Edda BahlmannDepartment of Cardiology, Second medical Clinic, Asklepios Clinic St. George, Hamburg, Germany.
Christian BasileDepartment of Advanced Biomedical Science, Federico II University of Naples, Via Pansini 5, 80131, Napoli, Italy.
Eva GerdtsDepartment of Clinical Science, University of Bergen, Bergen, Norway.
Asklepios · DEFederico II University Hospital · ITHaukeland University Hospital · NOUniversity of Naples Federico II · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aortic stenosis (AS) is the most common degenerative valvular disease in western word. In patients with severe AS, small changes in aortic valve area can lead to large changes in hemodynamics. The correct understanding of cardiac hemodynamics and its interaction with vascular function is of paramount importance for correct identification of severe AS and to plan effective strategies for its treatment. In the current review with highlight the importance of pressure recovery phenomenon and valvular arterial impedance as novel tools in the evaluation of patients with aortic stenosis.

Indexed as

Aortic Valve StenosisCardiovascular SystemAortic ValveHemodynamicsHumansAortic sclerosisEchocardiographyHypertensionVascular-ventricular coupeling

Identifiers

PMID35438477
PMCPMC9050777
OpenAlexW4224291703

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.