Evidence map›Paper›PMID 32175441›Full record

ArticleEye and vision (London, England)2020

In vivo confocal microscopy: qualitative investigation of the conjunctival and corneal surface in open angle glaucomatous patients undergoing the XEN-Gel implant, trabeculectomy or medical therapy.

Stefano Baiocchi, Cosimo Mazzotta, Arianna Sgheri, Alessandro Di Maggio, Simone Alex Bagaglia, Matteo Posarelli, Leonardo Ciompi, Alessandro Meduri, Gian Marco Tosi

Open access · diamondAbstract read
In one paragraph

Article in Eye and vision (London, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.5field-weighted citation impact, top 6% 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

21 citing papers in PubMed, 30 citations in OpenAlex.

  1. Review
  2. Enhanced Imaging of Ocular Surface Lesions.Journal of clinical medicine · 2025
    Review
  3. Review
  4. Article
  5. Implantation of XEN gel stent in a patient with ocular cicatricial pemphigoid.American journal of ophthalmology case reports · 2023
    Article
  6. Review
  7. Article
  8. Review
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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 3 institutions in 1 country.

Stefano Baiocchi1Department of Medicine, Surgery and Neurosciences, Ophthalmology Unit, Policlinico Santa Maria alle Scotte, University of Siena, Viale Bracci 8, ZIP code 53100 Siena, Italy.
Cosimo Mazzotta1Department of Medicine, Surgery and Neurosciences, Ophthalmology Unit, Policlinico Santa Maria alle Scotte, University of Siena, Viale Bracci 8, ZIP code 53100 Siena, Italy.
Arianna Sgheri1Department of Medicine, Surgery and Neurosciences, Ophthalmology Unit, Policlinico Santa Maria alle Scotte, University of Siena, Viale Bracci 8, ZIP code 53100 Siena, Italy.
Alessandro Di Maggio1Department of Medicine, Surgery and Neurosciences, Ophthalmology Unit, Policlinico Santa Maria alle Scotte, University of Siena, Viale Bracci 8, ZIP code 53100 Siena, Italy.
Simone Alex Bagaglia1Department of Medicine, Surgery and Neurosciences, Ophthalmology Unit, Policlinico Santa Maria alle Scotte, University of Siena, Viale Bracci 8, ZIP code 53100 Siena, Italy.
Matteo Posarelli1Department of Medicine, Surgery and Neurosciences, Ophthalmology Unit, Policlinico Santa Maria alle Scotte, University of Siena, Viale Bracci 8, ZIP code 53100 Siena, Italy.
Leonardo Ciompi1Department of Medicine, Surgery and Neurosciences, Ophthalmology Unit, Policlinico Santa Maria alle Scotte, University of Siena, Viale Bracci 8, ZIP code 53100 Siena, Italy.
Alessandro Meduri2Ophthalmology Unit, Department of Biomedical Sciences, University of Messina, Messina, Italy.
Gian Marco Tosi1Department of Medicine, Surgery and Neurosciences, Ophthalmology Unit, Policlinico Santa Maria alle Scotte, University of Siena, Viale Bracci 8, ZIP code 53100 Siena, Italy.
Ospedale Santa Maria alle Scotte · ITUniversity of Siena · ITUniversity of Messina · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAssessing the quality of the ocular surface by in vivo scanning laser confocal microscopy (IVCM) in primary open angle glaucoma (POAG) patients treated by Xen 45 Gel Stent, medical therapy and trabeculectomy.

methodsRetrospective, single-center, single-masked, comparative study including 60 eyes of 30 patients (mean age 61.16 ± 10 years) affected by POAG. Eyes were divided into 3 groups: Group 1 eyes underwent the Xen 45 Gel Stent procedure, Group 2 eyes were under medical therapy, Group 3 eyes were surgically treated by trabeculectomy. All patients underwent HRT II IVCM analysis of cornea, limbus, conjunctiva, sub-tenionian space and sclera.

resultsThe Xen 45 Gel stent, if properly positioned in the sub-conjunctival space preserves goblet cells and limits ocular surface inflammation. Regular corneal epithelial cells with micro-cysts, and normo-reflective sub-epithelial nerve plexus are documented by IVCM. In sub Tenon's implants an alternative lamellar intra-scleral filtration is detectable. Combined surgical procedures show a noticeable number of inflammatory cells with rare micro-cysts. Post-trabeculectomy inflammatory reaction is more evident than Xen 45 Gel Stent associated surgical procedures, but less than medical therapy where a conspicuous presence of Langerhans cells, peri-neural infiltrates, marked loss of goblet cells and fibrosis is visible.

conclusionOcular surface inflammation was more notable in topical therapy than after trabeculectomy, which itself causes more inflammation than XEN Gel stents.

Indexed as

Confocal microscopyGlaucomaInflammationIVCMMIGSOcular surfacePOAGPrimary open angle glaucomaXen 45 gel stent

Identifiers

PMID32175441
PMCPMC7063711
OpenAlexW3012443977

What OpenQuestion holds

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LicenceCC BY
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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.