Evidence map›Paper›PMID 23881579›Full record

ReviewCurrent cardiology reports2013

Computer modeling to tailor therapy for congenital heart disease.

Michael A Quail, Andrew M Taylor

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current cardiology reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

2 authors at 1 institution in 2 countries.

Michael A QuailCentre for Cardiovascular Imaging, Institute of Cardiovascular Science, University College London, London, UK. m.quail@ucl.ac.uk
Andrew M Taylor
University College London · GB

Funding

British Heart Foundation FS/11/76/29037Department of Health SRF/01/018
6 · The paper itself

Abstract

The inherent structural and physiological complexity of congenital heart disease lends itself strongly to simulation. Complex hemodynamic and structural problems unique to congenital heart disease may be difficult to understand and the response to therapy or intervention uncertain. Methodologies borrowed from engineering, computing and mathematical sciences can be applied to such problems and used to inform clinical decisions. Therapy thus informed by modeling experiments has the potential to contribute significantly to improved clinical outcomes. This field remains in its infancy, and will only become used routinely if validation of current methods is carried out in the clinical setting.

Indexed as

Computer SimulationModels, CardiovascularHeart Defects, CongenitalHeart Valve ProsthesisHeart VentriclesHemodynamicsHumansHypoplastic Left Heart SyndromeMaterials TestingProsthesis Design

Identifiers

PMID23881579
OpenAlexW2069231754

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.