Evidence map›Paper›PMID 32751377›Full record

ArticleJournal of clinical medicine2020

Prediction of Function in ABCA4-Related Retinopathy Using Ensemble Machine Learning.

Philipp L Müller, Tim Treis, Alexandru Odainic, Maximilian Pfau, Philipp Herrmann, Adnan Tufail, Frank G Holz

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2020. 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
0.9field-weighted citation impact, top 27% 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

5 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. 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

7 authors at 3 institutions in 3 countries.

Philipp L MüllerDepartment of Ophthalmology, University of Bonn, 53127 Bonn, Germany.
Tim TreisBioQuant, University of Heidelberg, 69120 Heidelberg, Germany.ORCID 0000-0002-9686-4799
Alexandru OdainicDepartment of Ophthalmology, University of Bonn, 53127 Bonn, Germany.ORCID 0000-0002-2806-6904
Maximilian PfauDepartment of Ophthalmology, University of Bonn, 53127 Bonn, Germany.ORCID 0000-0001-9761-9640
Philipp HerrmannDepartment of Ophthalmology, University of Bonn, 53127 Bonn, Germany.
Adnan TufailMoorfields Eye Hospital NHS Foundation Trust, London EC1V 2PD, UK.
Frank G HolzDepartment of Ophthalmology, University of Bonn, 53127 Bonn, Germany.
University of Bonn · DEMoorfields Eye Hospital NHS Foundation Trust · GBHeidelberg University · DE

Funding

Deutsche Forschungsgemeinschaft MU4279/2-1 to PLM and PF950/1-1 to MPNational Institute for Health Research Biomedical Research Centre at Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology funding to AT
6 · The paper itself

Abstract

Full-field electroretinogram (ERG) and best corrected visual acuity (BCVA) measures have been shown to have prognostic value for recessive Stargardt disease (also called "

Indexed as

artificial intelligenceelectroretinogramhereditary retinal diseaseoptical coherence tomographyretinaStargardt diseasevisual acuity

Identifiers

PMID32751377
PMCPMC7463567
OpenAlexW3045945451

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.