Evidence map›Paper›PMID 36262841›Full record

ArticleInternational journal of ophthalmology2022

Refractive outcomes and optical quality of PRESBYOND laser-blended vision for presbyopia correction.

Dan Fu, Aruma Aruma, Ye Xu, Tian Han, Fei Xia, Xing-Tao Zhou

Abstract read
In one paragraph

Article in International journal of ophthalmology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

7 citing papers in PubMed.

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  6. Applications of SMILE-extracted lenticules in ophthalmology.International journal of ophthalmology · 2024
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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

6 authors.

Dan FuEye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai 200030, China.
Aruma ArumaEye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai 200030, China.
Ye XuEye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai 200030, China.
Tian HanEye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai 200030, China.
Fei XiaEye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai 200030, China.
Xing-Tao ZhouEye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai 200030, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo investigate the one-year refractive outcomes and optical quality following PRESBYOND laser-blended vision (LBV).

methodsThis retrospective study included 20 patients who underwent PRESBYOND treatment between Jan 2019 and Aug 2020. The patients were asked to attend a follow-up outpatient visit one year after surgery. Distance and near visual acuity as well as subjective refraction were examined. Optical quality was assessed using wavefront-supported custom ablation. A questionnaire evaluating optical quality and satisfaction was completed at the last visit.

resultsThe average patient age was 48.1±7.4y (range, 41 to 58y). The mean preoperative spherical equivalent was -7.59±2.39 D. At the one-year follow-up, two eyes (both dominant eyes) lost one line of corrected distance visual acuity (CDVA), while the remaining eyes (38/40) maintained or gained lines of CDVA. The average binocular uncorrected distance visual acuity improved from 0.15±0.03 to 0.90±0.26 (decimal vision;

conclusionOver the one-year observation period, PRESBYOND is a safe and effective option for presbyopia correction. The optical quality and near vision deserve further investigation.

Indexed as

laser-blended visionoptical qualityPRESBYONDpresbyopia

Identifiers

PMID36262841
PMCPMC9522566

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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.