Evidence map›Paper›PMID 39737323›Full record

ArticleCureus2024

Navigating the Dynamic Nature of Mitral Regurgitation With the Use of Multimodality Imaging in a Young Woman.

Hunaina Shahab, Maryam H Khan, Nina Kukar, Patita Sitticharoenchai, Dua-Noor Butt

Abstract readCase Reports
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Hunaina ShahabCardiology, Mount Sinai West Hospital, New York, USA.
Maryam H KhanPublic Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, USA.
Nina KukarCardiology, Mount Sinai West Hospital, New York, USA.
Patita SitticharoenchaiCardiology, Mount Sinai West Hospital, New York, USA.
Dua-Noor ButtCardiology, Mount Sinai West Hospital, New York, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The mechanism and severity of mitral valve (MV) regurgitation (MR) play a critical role in guiding treatment decisions. Transthoracic echocardiography (TTE) is the primary diagnostic modality for evaluating MV disease. Discordant findings on TTE can be further quantified through transesophageal echocardiography (TEE). We describe the case of a young woman with worsening exertional dyspnea who was found to have restricted posterior MV leaflet and moderate to severe eccentric MR on TTE. TEE was subsequently performed to determine the exact mechanism of MR revealing the prolapse of the A2 segment of the MV. However, TEE significantly underestimated MR severity, downgrading it to visually mild to moderate MR and quantitatively moderate MR. This discrepancy highlights the potential for significant variation in MR severity assessment under general anesthesia, emphasizing the impact of hemodynamic loading conditions. In our case, intravenous sedatives may have altered the loading conditions reducing MR severity on TEE compared to TTE. Given her symptom severity, MV pathology, left ventricular dilatation, and the higher MR severity observed on TTE, she underwent surgical MV repair, in alignment with the Class I recommendation by the American College of Cardiology/American Heart Association (ACC/AHA) valvular heart disease guidelines. Postoperatively, she experienced significant improvement in symptoms and quality of life.

Indexed as

mitral regurgitationmitral valve prolapsesedationtransesophageal echocardiographytransthoracic echocardiography

Identifiers

PMID39737323
PMCPMC11683511

What OpenQuestion holds

Textmetadata
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.