Evidence map›Paper›PMID 34635576›Full record

ReviewOpen heart2021

Evaluation of low gradient severe aortic stenosis: should we change our outlook in the analysis of clinical data?

Ivan Corazza, Margherita Zecchi, Romano Zannoli

Open access · goldAbstract readReview
In one paragraph

Review in Open heart, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. An overview of aortic valve anatomy: the current understanding.Indian journal of thoracic and cardiovascular surgery · 2023
    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

3 authors at 1 institution in 1 country.

Ivan CorazzaDepartment of Experimental Diagnostic and Specialty Medicine, Alma Mater Studiorum University of Bologna, Bologna, Italy ivan.corazza@unibo.it.ORCID 0000-0003-2078-1978
Margherita ZecchiDepartment of Experimental Diagnostic and Specialty Medicine, Alma Mater Studiorum University of Bologna, Bologna, Italy.
Romano ZannoliDepartment of Experimental Diagnostic and Specialty Medicine, Alma Mater Studiorum University of Bologna, Bologna, Italy.
University of Bologna · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nowadays, technological progress has equipped clinicians with new useful devices for the collection, analysis and presentation of data. As a consequence, many diseases and pathological conditions have been studied in a more detailed way, sometimes with remarkable results. In fact, they are not always validated by the old physiological models. In this respect, we present the case of low gradient severe aortic stenosis, a condition characterised by a small aortic valve area and a low-pressure gradient. According to the mathematical and physical assumptions these readings are contradictory whereas the Doppler-echocardiography shows clearly the existence of such a situation. In this work, we have described the physiological base of this phenomenon and discussed the limitations of the technology used. In this work, we are going to analyse some conditions commonly observed in daily clinical practice in order to prompt a critical outlook in both clinicians and technicians about the instrumentations used and the methods applied.

Indexed as

Aortic ValveAortic Valve StenosisCardiac CatheterizationEchocardiography, DopplerHumansSeverity of Illness Indexaortic valve stenosisclinical competencediagnostic Imagingechocardiographyquality of health care

Identifiers

PMID34635576
PMCPMC8506845
OpenAlexW3205701113

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.