Evidence map›Paper›PMID 35958539›Full record

ArticleAnnals of cardiothoracic surgery2022

Incidence of bicuspid valve related aortic dissection: a systematic review and meta-analysis.

Ashley R Wilson-Smith, Aditya Eranki, Benjamin Muston, Harish Kamalanathan, Amanda Yung, Michael L Williams, Prachi Sahai, Caroline Zi, Hector Michelena

Abstract read
In one paragraph

Article in Annals of cardiothoracic surgery, 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
–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.

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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

9 authors.

Ashley R Wilson-SmithThe Chris O'Brien Lifehouse Center, Sydney, Australia.
Aditya ErankiThe John Hunter Hospital, Newcastle, Australia.
Benjamin MustonThe Collaborative Research Group (CORE), Sydney, Australia.
Harish KamalanathanThe John Hunter Hospital, Newcastle, Australia.
Amanda YungThe Collaborative Research Group (CORE), Sydney, Australia.
Michael L WilliamsThe Collaborative Research Group (CORE), Sydney, Australia.
Prachi SahaiThe John Hunter Hospital, Newcastle, Australia.
Caroline ZiDepartment of Medical Research, The Mayo Clinic, Rochester, MN, USA.
Hector MichelenaDepartment of Medical Research, The Mayo Clinic, Rochester, MN, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The true incidence of bicuspid valve-related aortic dissection (AD) is extremely difficult to ascertain. This review aimed to provide the reported cumulative incidence of bicuspid aortic valve (BAV)-related AD in actively monitored study populations. Methods: Four electronic databases were used to perform literature searches. A meta-analysis of proportions or means were performed for categorical and continuous variables, as appropriate. Survival data was calculated from the aggregation of Kaplan-Meier (KM) curves from the included studies, where reported. Results: A total of 4,330 patients were identified in eleven studies. A cumulative incidence of bicuspid valve-related AD of 0.6% across a median follow-up time of 9 years was identified. Actuarial survival across this monitored population at 1, 3, 5 and 10 years was 97.2%, 96.7%, 92.45%, and 81.1%, respectively. Conclusions: This systematic review and meta-analysis identified a low incidence of AD across the examined follow-up period. Large, prospective studies involving early identification of bicuspid valve pathology, recruitment, and follow-up of BAV cohorts with comparison to the baseline population are required to most accurately determine the outcomes of these patients.

Indexed as

aortic dissection (AD)Bicuspid aortic valve (BAV)cumulative incidence

Identifiers

PMID35958539
PMCPMC9357965

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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.