Evidence map›Paper›PMID 28573987›Full record

ReviewIndian journal of ophthalmology2017

Evaluating ocular blood flow.

Jyotsna Maram, Sowmya Srinivas, Srinivas R Sadda

Erratum issuedOpen access · diamondAbstract readReview
In one paragraph

Review in Indian journal of ophthalmology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 8% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Retinal Oxygen Extraction in Patients with Primary Open-Angle Glaucoma.International journal of molecular sciences · 2022
    Article
  7. Obstructive sleep apnea and the retina: a review.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2021
    Review
  8. Article
  9. Article
  10. Article
  11. Erratum: Evaluating ocular blood flow.Indian journal of ophthalmology · 2018
    Article
  12. Article
  13. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Jyotsna MaramDoheny Image Reading Center, Doheny Eye Institute, Los Angeles, California, USA.
Sowmya SrinivasDoheny Image Reading Center, Doheny Eye Institute, Los Angeles, California, USA.
Srinivas R SaddaDoheny Image Reading Center, Doheny Eye Institute; Department of Ophthalmology, David Geffen School of Medicine at UCLA, Los Angeles, California, USA.
Doheny Eye Institute · USUniversity of California, Los Angeles · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies have shown that vascular impairment plays an important role in the etiology and pathogenesis of various ocular diseases including glaucoma, age-related macular degeneration, diabetic retinopathy, and retinal venous occlusive disease. Thus, qualitative and quantitative assessment of ocular blood flow (BF) is a topic of interest for early disease detection, diagnosis, and management. Owing to the rapid improvement in technology, there are several invasive and noninvasive techniques available for evaluating ocular BF, with each of these techniques having their own limitations and advantages. This article reviews these important techniques, with a particular focus on Doppler Fourier domain optical coherence tomography (OCT) and OCT-angiography.

Indexed as

Eye DiseasesFluorescein AngiographyFundus OculiHumansRegional Blood FlowRetinal VesselsTomography, Optical Coherence

Identifiers

PMID28573987
PMCPMC5565900
OpenAlexW2620728781

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.