Evidence map›Paper›PMID 24442888›Full record

ArticleJapanese journal of ophthalmology2014

Paracentral scotoma in glaucoma detected by 10-2 but not by 24-2 perimetry.

Masanori Hangai, Hanako Ohashi Ikeda, Tadamichi Akagi, Nagahisa Yoshimura

Abstract readCase Reports
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In one paragraph

Article in Japanese journal of ophthalmology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.4field-weighted citation impact, top 9% 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

15 citing papers in PubMed, 36 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Masanori HangaiDepartment of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan, hangai@kuhp.kyoto-u.ac.jp.
Hanako Ohashi Ikeda
Tadamichi Akagi
Nagahisa Yoshimura
Kyoto University · JPSaitama Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo describe, in glaucomatous patients, spectral-domain optical coherence tomography (SD-OCT) results predictive of paracentral visual field (VF) defects present on standard automated perimetry (SAP) 10-2, but not on SAP 24-2.

methodsThe SAP 10-2 test was repeated 3 times to determine whether paracentral VF defects were present. Spectralis™ HRA + OCT was used to obtain speckle-noise-reduced macular B-scans. The macular scan protocol consisted of 19 vertical cross-sectional scan lines centered on the fovea (30° × 15° volume scan), each of which was the average of 50 scans. A 3D OCT-2000 was also used to determine macular layer thicknesses and to detect abnormally thin regions (below the 1 % confidence interval of the normative data).

resultsWe identified 3 cases in which paracentral VF defects were detected on SAP 10-2, but not on SAP 24-2. Paracentral VF defects were detected on all of the SAP 10-2 tests repeated 3 times, and included absolute scotoma in 2 of the 3 SAP 10-2 results. Retinal nerve fiber layer (RNFL) and ganglion cell layer (GCL) damage was diminished on SD-OCT macular images; 2 patients had RNFL and GCL thinning within and central to the parafoveal region, where the GCL is generally thickest in healthy eyes, and 1 patient had evident RNFL and GCL thinning in the papillomacular bundle.

conclusionsMacular SD-OCT scans may be useful in deciding whether SAP 10-2 should be performed.

Indexed as

FemaleGlaucoma, Open-AngleHumansIntraocular PressureLow Tension GlaucomaMaleMiddle AgedNerve FibersRetinal Ganglion CellsScotomaTomography, Optical CoherenceVisual FieldsVisual Field Tests

Identifiers

PMID24442888
OpenAlexW1988278806

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.