Evidence map›Paper›PMID 32318937›Full record

ArticleInternational ophthalmology2020

Femtosecond laser-assisted Descemet's stripping endothelial keratoplasty: a prospective study of 6-month visual outcomes, corneal thickness and endothelial cell loss.

Huiyu Chen, Lijia Tian, Qihua Le, Feng Zhao, Yujin Zhao, Yan Chen, Yujing Yang, Jiaxu Hong, Jianjiang Xu

Abstract read
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In one paragraph

Article in International ophthalmology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Advances in corneal transplantation.Eye (London, England) · 2025
    Review
  2. Femtosecond laser deep lamellar keratoplasty.Indian journal of ophthalmology · 2022
    Article
  3. Femtosecond laser semi-assisted Descemet stripping endothelial keratoplasty: 2-year outcomes of endothelial cell loss and graft survival.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2022
    Article
  4. Review
  5. Review
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

9 authors at 2 institutions in 1 country.

Huiyu ChenDepartment of Ophthalmology and Visual Science, Eye, and ENT Hospital, Shanghai Medical College, Fudan University, 83 Fenyang Road, Shanghai, China.
Lijia TianDepartment of Ophthalmology and Visual Science, Eye, and ENT Hospital, Shanghai Medical College, Fudan University, 83 Fenyang Road, Shanghai, China.
Qihua LeDepartment of Ophthalmology and Visual Science, Eye, and ENT Hospital, Shanghai Medical College, Fudan University, 83 Fenyang Road, Shanghai, China.
Feng ZhaoDepartment of Ophthalmology and Visual Science, Eye, and ENT Hospital, Shanghai Medical College, Fudan University, 83 Fenyang Road, Shanghai, China.
Yujin ZhaoDepartment of Ophthalmology and Visual Science, Eye, and ENT Hospital, Shanghai Medical College, Fudan University, 83 Fenyang Road, Shanghai, China.
Yan ChenDepartment of Ophthalmology and Visual Science, Eye, and ENT Hospital, Shanghai Medical College, Fudan University, 83 Fenyang Road, Shanghai, China.
Yujing YangDepartment of Ophthalmology and Visual Science, Eye, and ENT Hospital, Shanghai Medical College, Fudan University, 83 Fenyang Road, Shanghai, China.
Jiaxu HongDepartment of Ophthalmology, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China. jiaxu_hong@163.com.
Jianjiang XuDepartment of Ophthalmology and Visual Science, Eye, and ENT Hospital, Shanghai Medical College, Fudan University, 83 Fenyang Road, Shanghai, China. jianjiangxu@126.com.
Eye & ENT Hospital of Fudan University · CNGuiyang Medical University · CN

Funding

National Natural Science Foundation of China 81870630, 81670820, 81670818 and 81970766Shanghai Rising-Star Program 18QA1401100the Guizhou Science and Technology Program 2016-2825the Young Scientist Excellence Program, Shanghai 2017YQ055
6 · The paper itself

Abstract

purposeTo report 6-month outcomes of visual acuity, the corneal thickness and endothelial cell density (ECD) in patients undergoing femtosecond laser-assisted Descemet's stripping endothelial keratoplasty (FS-DSEK).

methodsThis prospective, consecutive, interventional series examined 25 eyes of 25 patients who underwent FS-DSEK for Fuchs endothelial dystrophy and bullous keratopathy. The pre-cut corneal endothelial graft thickness (CET) was 150 µm. Best-corrected visual acuity (BCVA), central corneal thickness (CCT), donor CET, recipient corneal stromal thickness (CST) and ECD were assessed at 1 week and 1, 2, 3 and 6 months postoperatively.

resultsThe mean BCVA at 6 months was 0.76 ± 0.35 logMAR units, improving from 1.54 ± 0.52 logMAR. CCT decreased significantly, from 759.8 ± 152.4 µm at 1 week to 631.7 ± 79.7 µm at 6 months (P = 0.001) postoperatively. CET recovered to 153.4 ± 33.7 µm (P = 0.076) at 6 months as pre-cut status. The CST decreased from 561.5 ± 96.3 µm at 1 week to 479.7 ± 57.9 µm at 6 months (P < 0.001). Preoperatively, the donor ECD was 2747.6 ± 255.4 cells/mm

conclusionsFS-DSEK is a safe and effective surgical alternative for corneal endothelial decompensation. The donor ECD and its changes could be used as predictive factors for the improvement of CST and CET.

Indexed as

Descemet Stripping Endothelial KeratoplastyFuchs' Endothelial DystrophyCell CountCorneal Endothelial Cell LossEndothelial CellsEndothelium, CornealHumansLasersProspective StudiesTreatment OutcomeCorneal endothelial cell densityDescemet’s stripping endothelial keratoplastyFemtosecond laserGraft thicknessVisual acuity

Identifiers

PMID32318937
OpenAlexW3016628561

What OpenQuestion holds

Textmetadata
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.