Evidence map›Paper›PMID 28717573›Full record

ArticleBiomedical optics express2017

Abhishek Kumar, Lara M Wurster, Matthias Salas, Laurin Ginner, Wolfgang Drexler, Rainer A Leitgeb

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Biomedical optics express, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04597255 (Reproducibility and Comparison of Digital Wavefront Sensing With Conventional Shack-Hartmann Wavefront Sensing), which is not on this map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.7field-weighted citation impact, top 33% 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.

NCT04597255 naunknown statusnot on this mapstarted 2020, after this paper: background citation

Reproducibility and Comparison of Digital Wavefront Sensing With Conventional Shack-Hartmann Wavefront Sensing: an Explorative Study

TypeinterventionalSponsorMedical University of ViennaRan2020 to 2021Enrolled30ConditionsWavefront Aberration, Corneal, Refractive ErrorsArmsHolographic optical coherence tomography
3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Wavefront measurement using computational adaptive optics.Journal of the Optical Society of America. A, Optics, image science, and vision · 2018
    Article
  11. 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.

Abhishek KumarCenter of Medical Physics and Biomedical Engineering, Medical University of Vienna, Währinger Gürtel 18-20 A-1090 Vienna, Austria.
Lara M WursterCenter of Medical Physics and Biomedical Engineering, Medical University of Vienna, Währinger Gürtel 18-20 A-1090 Vienna, Austria.
Matthias SalasCenter of Medical Physics and Biomedical Engineering, Medical University of Vienna, Währinger Gürtel 18-20 A-1090 Vienna, Austria.
Laurin GinnerCenter of Medical Physics and Biomedical Engineering, Medical University of Vienna, Währinger Gürtel 18-20 A-1090 Vienna, Austria.
Wolfgang DrexlerCenter of Medical Physics and Biomedical Engineering, Medical University of Vienna, Währinger Gürtel 18-20 A-1090 Vienna, Austria.
Rainer A LeitgebCenter of Medical Physics and Biomedical Engineering, Medical University of Vienna, Währinger Gürtel 18-20 A-1090 Vienna, Austria.
Medical University of Vienna · AT

Funding

Austrian Science Fund FWF P 29093
6 · The paper itself

Abstract

Sub-aperture based digital adaptive optics is demonstrated in a fiber based point scanning optical coherence tomography system using a 1060 nm swept source laser. To detect optical aberrations

Indexed as

(010.7350) Wave-front sensing(110.1080) Active or adaptive optics(110.4500) Optical coherence tomography(170.0180) Microscopy

Identifiers

PMID28717573
PMCPMC5508834
OpenAlexW2670422768

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.