Evidence map›Paper›PMID 38766349›Full record

ArticleInternational journal of ophthalmology2024

Diagnostic values of questionnaires of Convergence Insufficiency Symptom Survey and College of Optometrists Vision Development Quality of Life in the screening of convergence insufficiency.

Ling Xiong, Qian Chen, Ye Wu

Abstract read
In one paragraph

Article in International journal of ophthalmology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

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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

1 citing paper in PubMed.

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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

3 authors.

Ling XiongDepartment of Ophthalmology, West China Hospital, Sichuan University/Laboratory of Optometry and Vision Science, West China School of Medicine, Chengdu 610041, Sichuan Province, China.
Qian ChenDepartment of Clinical Research Management, Center of Biostatistics, Design, Measurement and Evaluation, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, China.
Ye WuDepartment of Ophthalmology, West China Hospital, Sichuan University/Laboratory of Optometry and Vision Science, West China School of Medicine, Chengdu 610041, Sichuan Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo compare and analyse the diagnostic efficacy of the College of Optometrists Vision Development Quality of Life Questionnaire (COVD-QOL) and the Convergence Insufficiency Symptom Survey (CISS) in detecting convergence insufficiency and to compare their diagnostic value in clinical applications.

methodsUsing the diagnostic test method, 62 adult patients with convergence insufficiency (age: 24.74±3.75y) and 62 normal participants (age: 23.61±3.13y) who visited the Optometry Clinic of West China Hospital of Sichuan University from April 2021 to January 2023 were included. All subjects completed the CISS and COVD-QOL. Statistical analysis of the sensitivity and specificity of the CISS and COVD-QOL and comparison and joint experimental analysis of their diagnostic efficacy were performed.

resultsThe sensitivity of the CISS and COVD-QOL for convergence insufficiency was 64.5% and 71.0%, respectively, while the specificity was 96.8% and 67.7%, respectively. Compared to the CISS alone, the combination of the CISS and COVD-QOL demonstrated lower sensitivity and specificity. The areas under the receiver operating characteristic curve of CISS, COVD-QOL and CISS combined with COVD-QOL were 0.806, 0.694 and 0.782, respectively.

conclusionConsidering the low sensitivity of the CISS and the low specificity of the COVD-QOL, it is recommended to supplement these questionnaires with other screening tests for the detection of convergence insufficiency.

Indexed as

asthenopiaCollege of Optometrists Vision Development Quality of Life Questionnaireconvergence insufficiencyconvergence insufficiency symptom survey

Identifiers

PMID38766349
PMCPMC11074196

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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.