Evidence map›Paper›PMID 37875359›Full record

ArticleZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences2023

Visual function changes of dysthyroid optic neuropathy and ROC curve analysis for early diagnostic indicators.

Sha Wang, Jinwei Wang, Lu Chen, Jia Tan

Open access · greenAbstract read
In one paragraph

Article in Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 66% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 1 institution in 1 country.

Sha WangEye Center, Xiangya Hospital, Central South University, Changsha 410008. wangsha_1982@csu.edu.cn.
Jinwei WangEye Center, Xiangya Hospital, Central South University, Changsha 410008.
Lu ChenEye Center, Xiangya Hospital, Central South University, Changsha 410008.
Jia TanEye Center, Xiangya Hospital, Central South University, Changsha 410008. tanjia1009@126.com.
National Clinical Research Center for Digestive Diseases · CN

Funding

the Natural Science Foundation of Hunan Province, China 2022JJ30964 and 2022JJ30959
6 · The paper itself

Abstract

objectivesDysthyroid optic neuropathy (DON) is a class of diseases that makes seriously endanger to the vision of patients with thyroid-associated ophthalmopathy. This study aims to observe the visual function changes in patients with DON, and to evaluate the diagnostic value of indicators diagnosing DON.

methodsA retrospective study was conducted on 98 eyes of 49 patients with dysthyroid optic neuropathy (DON) who were treated in Xiangya Hospital of Central South University from January 2017 to December 2019. All patients were received the examination of best corrected visual acuity (BCVA), Humphrey visual field, visual evoked potential (VEP), and contrast sensitivity. Ninety-eight eyes were divided into a DON group (45 eyes) and a non-DON group (53 eyes).

resultsThe BCVA and visual field index (VFI) of the DON group were significantly lower than those of the non-DON group (all

conclusionsThe visual function of patients with DON is decreased. VFI, contrast sensitivity of low, medium, and high frequency, and 15° P100 wave amplitude might be effective indicators for early diagnosis of DON.

Indexed as

Graves OphthalmopathyOptic Nerve DiseasesEvoked Potentials, VisualHumansRetrospective StudiesROC Curvedysthyroid optic neuropathyreceiver operating characteristic curvethyroid-associated ophthalmopathyvisual evoked potential

Identifiers

PMID37875359
PMCPMC10930852
OpenAlexW4387930720

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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.