Evidence map›Paper›PMID 31912270›Full record

ReviewDer Ophthalmologe : Zeitschrift der Deutschen Ophthalmologischen Gesellschaft2020

[Technical aspects of quality assurance for intravitreal injections (IVI)].

F Bucher, P Mussinghoff, T Kühn, A Stahl, D Böhringer

Abstract readReview
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In one paragraph

Review in Der Ophthalmologe : Zeitschrift der Deutschen Ophthalmologischen Gesellschaft, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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.

F BucherKlinik für Augenheilkunde, Universitätsklinikum Freiburg, Killianstr. 5, 79106, Freiburg, Deutschland.
P MussinghoffAugenzentrum am St. Franziskus-Hospital Münster, Münster, Deutschland.
T KühnContraCare GmbH, Fürth, Nürnberg, Deutschland.
A StahlKlinik und Poliklinik für Augenheilkunde, Universitätsmedizin Greifswald, Greifswald, Deutschland.
D BöhringerKlinik für Augenheilkunde, Universitätsklinikum Freiburg, Killianstr. 5, 79106, Freiburg, Deutschland. Daniel.boehringer@uniklinik-freiburg.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSuccessful quality assurance in intravitreal injection (IVI) of medications requires a complex information technology infrastructure. The main challenges are data availability independent of location, standardization of clinical data, integration of extensive and currently non-standardized image documentation from coherence tomography and compliance with data protection regulations.

objectiveIn this article the technical implementation and data protection principles are reviewed. MATERIAL AND

methodsEssential aspects in the implementation of quality assurance in the field of IVI are discussed in a systematic approach.

resultsIn the field of network architectures web-based applications supplemented by local virtual private networks (VPN) and/or other software instances have recently replaced the previously commonly used physical data medium exchange. The standardization of the data, e.g. by converting the visual acuity into logMAR, plays an important role in the collection of treatment data. Multiple non-standardized data formats in optical coherence tomography complicate the general quality assurance structure and comparability of data.

conclusionInternational standards will probably facilitate this in the near future. Until then individual solutions have to be found on site.

Indexed as

Quality Assurance, Health CareHumansIntravitreal InjectionsTomography, Optical CoherenceVisual AcuityData availabilityData protectionNetwork architectureStandardized data formatsTreatment data

Identifiers

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.