Evidence map›Paper›PMID 25245833›Full record

ReviewNature reviews. Cardiology2014

Exploring unknowns in cardiology.

Ottavio Alfieri, Bongani M Mayosi, Seung-Jung Park, Nizal Sarrafzadegan, Renu Virmani

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Cardiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

10 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Review
  3. Brain, heart, and sudden death.Current journal of neurology · 2022
    Review
  4. Genetics of inherited cardiomyopathies in Africa.Cardiovascular diagnosis and therapy · 2020
    Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. 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

5 authors at 1 institution in 1 country.

Ottavio AlfieriCardiac Surgery Department, San Raffaele Scientific Institute, Via Olgettina, 58, 20132 Milan, Italy.
Bongani M MayosiDepartment of Medicine, J Floor, Old Groote Schuur Hospital, Groote Schuur Drive, Observatory 7925, Cape Town, South Africa.
Seung-Jung ParkAsan Medical Center, 86 Asanbyeongwon-gil, Songpa-gu, Seoul 138-736, South Korea.
Nizal SarrafzadeganIsfahan Cardiovascular Research Centre, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Khorram Avenue, PO Box 81465-1148, Isfahan, Iran.
Renu VirmaniCVPath Institute Inc., 19 Firstfield Road, Gaithersburg, MD 20878, USA.
CVPath Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To mark the 10th anniversary of Nature Reviews Cardiology in November 2014, five of our Advisory Board members were invited to consider a topic within cardiology about which we know too little. A diverse range of subjects are highlighted in this Perspectives article, including preoperative assessment of right ventricular function, the burden of cardiomyopathies in Africa, the measurement of fractional flow reserve to guide coronary intervention, the interaction between genes and environment in cardiovascular disease, and the difficulty of predicting atherosclerotic plaque rupture. The five key opinion leaders from around the globe also suggest ways in which future research could be targeted to address the deficits in our understanding, with the aim of preventing cardiovascular disease, improving patient care, and reducing morbidity and mortality.

Indexed as

AfricaCardiologyFractional Flow Reserve, MyocardialGene-Environment InteractionHeart DiseasesHumansPredictive Value of TestsVentricular Dysfunction, Right

Identifiers

PMID25245833
OpenAlexW2037514308

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.