Evidence map›Paper›PMID 37766761›Full record

ArticleBeyoglu eye journal2023

Pupillographic Analysis of COVID-19 Patients: Early and Late Results After Recovery.

Gamze Ucan Gunduz, Aysegul Mavi Yildiz, Ozgur Yalcinbayir, Mehmet Baykara, Esin Sogutlu Sari, Sevde Isleker, Nilufer Aylin Acet Ozturk

Open access · diamondAbstract read
In one paragraph

Article in Beyoglu eye journal, 2023. 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, top 76% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. Task-Evoked Pupillary Dynamics Are Altered in Post-COVID Syndrome.Medical sciences (Basel, Switzerland) · 2026
    Article
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

7 authors at 1 institution in 1 country.

Gamze Ucan GunduzDepartment of Ophthalmology, Bursa Uludag University, Bursa, Türkiye.
Aysegul Mavi YildizRetina Eye Hospital, Bursa, Türkiye.
Ozgur YalcinbayirDepartment of Ophthalmology, Bursa Uludag University, Bursa, Türkiye.
Mehmet BaykaraDepartment of Ophthalmology, Bursa Uludag University, Bursa, Türkiye.
Esin Sogutlu SariDepartment of Ophthalmology, Bursa Uludag University, Bursa, Türkiye.
Sevde IslekerDepartment of Ophthalmology, Bursa Uludag University, Bursa, Türkiye.
Nilufer Aylin Acet OzturkDepartment of Pulmonology, Bursa Uludag University, Bursa, Türkiye.
Bursa Uludağ Üni̇versi̇tesi̇ · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: We aimed to investigate the short- and long-term static and dynamic pupillary responses of patients recovered from coronavirus disease-19 (COVID-19) using quantitative infrared pupillography. Methods: This study included patients who recovered from COVID-19 (Group 1) and age- and gender-matched controls (Group 2). A detailed ophthalmic examination was performed at 1 month and 6 months after the diagnosis of COVID-19. Photopic, mesopic, and scotopic pupil diameters (PDs) were measured using a quantitative infrared pupillography which was integrated into Scheimpflug/Placido photography-based topography system. PDs at 0, 2 Results: Eighty-six eyes of 86 patients (Group 1: n=42; Group 2: n=44) were included. While the mean photopic, mesopic, and scotopic PDs were significantly larger in the COVID-19 group than the control group in the 1 Conclusion: PDs were significantly larger in COVID-19 patients in all light intensities in the 1

Indexed as

COVID-19parasympathetic inhibitionpupil diameterpupillographysympathetic hyperactivity

Identifiers

PMID37766761
PMCPMC10521134
OpenAlexW4387110564

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.