Evidence map›Paper›PMID 30310455›Full record

ReviewEuropean cardiology2016

Cardiovascular Management of Adults with Marfan Syndrome.

Yukiko Isekame, Sabiha Gati, Jose Antonio Aragon-Martin, Rachel Bastiaenen, Sreenivasa Rao Kondapally Seshasai, Anne Child

Open access · hybridAbstract readReview
In one paragraph

Review in European cardiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact, top 88% 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

17 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Human stem cell models for Marfan syndrome: aFrontiers in cell and developmental biology · 2024
    Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Cardiovascular manifestations in Marfan syndrome.Medicine and pharmacy reports · 2021
    Article
  14. Non-aortic cardiovascular disease in Marfan syndrome: a nationwide epidemiological study.Clinical research in cardiology : official journal of the German Cardiac Society · 2021
    Article
  15. Article
  16. Review
  17. 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

6 authors at 1 institution in 1 country.

Yukiko IsekameCardiovascular and Cell Sciences Research Institute, St. George's, University of London, London, UK.
Sabiha GatiCardiovascular and Cell Sciences Research Institute, St. George's, University of London, London, UK.
Jose Antonio Aragon-MartinCardiovascular and Cell Sciences Research Institute, St. George's, University of London, London, UK.
Rachel BastiaenenCardiovascular and Cell Sciences Research Institute, St. George's, University of London, London, UK.
Sreenivasa Rao Kondapally SeshasaiCardiovascular and Cell Sciences Research Institute, St. George's, University of London, London, UK.
Anne ChildCardiovascular and Cell Sciences Research Institute, St. George's, University of London, London, UK.
St George's, University of London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Marfan syndrome (MFS) is a disease in which connective tissue becomes weak secondary to fibrillin-1 mutations, resulting in aortic dilatation, aneurysm formation, aortic dissection, aortic regurgitation and mitral valve prolapse. This autosomal dominantly inherited condition, which was first reported in 1895 and was more fully described in 1931, is characterised by abnormal Fibrillin-1 protein (FBN1) (discovered in 1990), which is encoded by the

Indexed as

aortic aneurysmaortic rootarrhythmiamanagementMarfan syndromemitral valve

Identifiers

PMID30310455
PMCPMC6159454
OpenAlexW2561623689

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.