Evidence map›Paper›PMID 34512063›Full record

ArticleEye and brain2021

Sensitivity and Specificity of New Visual Field Screening Software for Diagnosing Hemianopia.

Supharat Jariyakosol, Patcharaporn Jaru-Ampornpan, Anita Manassakorn, Rath Itthipanichpong, Parima Hirunwiwatkul, Visanee Tantisevi, Thanapong Somkijrungroj, Prin Rojanapongpun

Open access · goldAbstract read
In one paragraph

Article in Eye and brain, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Diagnostic performance of pupil perimetry in detecting hemianopia under standard and virtual reality viewing conditions.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2025
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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

8 authors at 1 institution in 1 country.

Supharat Jariyakosol *Department of Ophthalmology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.ORCID 0000-0002-0798-3519
Patcharaporn Jaru-Ampornpan *Department of Ophthalmology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Anita ManassakornDepartment of Ophthalmology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.ORCID 0000-0001-7483-8656
Rath ItthipanichpongDepartment of Ophthalmology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Parima HirunwiwatkulDepartment of Ophthalmology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Visanee TantiseviDepartment of Ophthalmology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.ORCID 0000-0003-3802-7586
Thanapong SomkijrungrojDepartment of Ophthalmology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Prin RojanapongpunDepartment of Ophthalmology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Thai Red Cross Society · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo assess the diagnostic accuracy of visual field results generated by the newly developed software (CU-VF) and the standard automated perimetry (SAP) for detecting hemianopia. PATIENTS AND

methodsForty-three subjects with hemianopia and 33 controls were tested with the CU-VF software on a personal computer and SAP. Hemianopia was defined as the presence of a hemianopic field respecting the vertical meridian on SAP with the corresponding neuroimaging pathology as evaluated by 2 neuro-ophthalmologists. Results of CU-VF were independently evaluated by 2 neuro-ophthalmologists, 1 general ophthalmologist, and 1 general practitioner in terms of the presence of hemianopia. Sensitivity, specificity, and kappa coefficient for inter-observer reliability were calculated. Satisfaction and ease of use were evaluated with a visual analog-scale questionnaire and analyzed using paired

resultsThe sensitivity (95% CI) and specificity (95% CI) of the CU-VF to detect hemianopia was 74.42% (58.53-85.96) and 93.94% (78.38-99.94). Kappa coefficient between neuro-ophthalmologists versus general ophthalmologist and general practitioner were 0.71 and 0.84, respectively. The mean (SD) test duration was 2.25 (0.002) minutes for the CU-VF and 5.38 (1.34) minutes for SAP (p < 0.001). Subjects reported significantly higher satisfaction and comfort using the CU-VF software compared to SAP.

conclusionThe CU-VF screening software showed good validity and reliability to detect hemianopia, with shorter test duration and higher subject satisfaction compared to SAP.

Indexed as

hemianopiascreening softwarevisual field

Identifiers

PMID34512063
PMCPMC8412821
OpenAlexW3196472324

What OpenQuestion holds

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LicenceCC BY-NC
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.