Evidence map›Paper›PMID 34540215›Full record

ArticleAnnals of medicine and surgery (2012)2021

Optical coherence tomography angiography features of macular neovascularization in wet age-related macular degeneration: A cross-sectional study.

Mahjoub Ahmed, Ben Mrad Syrine, Ben Abdesslem Nadia, Mahjoub Anis, Zinelabidine Karim, Ghorbel Mohamed, Mahjoub Hachemi, Krifa Fethi, Knani Leila

Open access · diamondAbstract read
In one paragraph

Article in Annals of medicine and surgery (2012), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 17% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

9 authors at 1 institution in 1 country.

Mahjoub AhmedOphthalmology Department, Farhat Hached's Hospital of Sousse, Tunisia.
Ben Mrad SyrineOphthalmology Department, Farhat Hached's Hospital of Sousse, Tunisia.
Ben Abdesslem NadiaOphthalmology Department, Farhat Hached's Hospital of Sousse, Tunisia.
Mahjoub AnisOphthalmology Department, Farhat Hached's Hospital of Sousse, Tunisia.
Zinelabidine KarimOphthalmology Department, Farhat Hached's Hospital of Sousse, Tunisia.
Ghorbel MohamedOphthalmology Department, Farhat Hached's Hospital of Sousse, Tunisia.
Mahjoub HachemiOphthalmology Department, Farhat Hached's Hospital of Sousse, Tunisia.
Krifa FethiOphthalmology Department, Farhat Hached's Hospital of Sousse, Tunisia.
Knani LeilaOphthalmology Department, Farhat Hached's Hospital of Sousse, Tunisia.
Hôpital Farhat Hached · TN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOCT-A is a recent imaging technique allowing a non-invasive assessment of the retinal and choroidal microvasculature, providing valuable data for the diagnosis and monitoring of wet AMD. We aim to determine the diagnosis accuracy, describe the morphological features, and assess the clinical activity of MNV in wet AMD using OCT-A. MATERIALS AND

methodsWe conducted a descriptive cross-sectional study over a 15-month period. We enrolled patients with treatment-naive and treated MNV secondary to wet AMD. Macular OCT-A images were obtained using a swept-source OCT-A device (Triton SS-OCT, Topcon, Tokyo, Japan). Morphologic characteristics and semi-automated measurements were analyzed on the en face projection OCT-Angiograms. For the qualitative analysis, determined the sensitivity of detection of the MNV using OCTA. When detected, we described its shape, branching pattern, anastomoses and loops, and vessel termination. We looked for the halo sign and the feeder vessel. We then defined the lesion's "pattern" reflecting its exudative activity. For the quantitative analysis, we measured the lesion's area in square millimeters, when its borders were clearly defined.

results70 eyes from 55 patients were enrolled in this study. Type 1 MNV was identified in 57,1% eyes, type 2 in 21,4%, mixed type 1 and2 in 1,4%, type 3 in 1,4% and unclassified fibrotic MNV in 18,6%. 55,7% were active and 44,3% were inactive. Sensitivity of detection was 85% for type 1 lesions, 100% for type 2, mixed and type 3 lesions, and 92% for unclassified fibrotic lesions. It was 84,6% for active lesions and 96,8% for inactive lesions. For each detected lesion, shape was well-defined (medusa, glomerulus, seafan), long liner vessels or ill-defined. Branching pattern was dense or loose. Anastomoses and vascular loops were numerous or few. Termination was in an anastomotic arcade or in a dead-tree aspect. Halo sign was present or absent and feeder vessel was detected or not. All types combined, 41,3% of the lesions were "pattern I" and 58,7% were pattern II. We reported a correlation rate of 84,8% between the lesion's activity on MI and « pattern I » on OCT-A, and of 96,6% between absence of activity signs on MI and « pattern II » on OCT-A The mean area of inactive lesions was slightly larger than that of active lesions with respective values of 3.86 mm

conclusionOCT-A is a non-invasive, safe, and reproducible retinal imaging technique with a high sensitivity of detection of MNV in AMD. It provides useful qualitative and quantitative data. The involvement of OCT-A in the treatment decision for MNV in AMD is linked to identifying the "pattern" of the lesion reflecting its active or inactive status.

Indexed as

Age related macular degenerationMacular neovascularizationOptical coherence tomography angiography

Identifiers

PMID34540215
PMCPMC8435926
OpenAlexW3199937034

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.