Evidence map›Paper›PMID 35705567›Full record

ArticleScientific reports2022

Ex-vivo study on the surface quality of corneal lenticule and stroma after low energy femtosecond laser lenticule extraction.

Mayank A Nanavaty, Hasan Naveed, Zahra Ashena, Ritika Mukhija

Abstract read
In one paragraph

Article in Scientific reports, 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.

  1. Trial
  2. Article
  3. Keratorefractive Lenticule Extraction - KLEx.Klinische Monatsblatter fur Augenheilkunde · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. 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

4 authors.

Mayank A NanavatySussex Eye Hospital, University Hospitals Sussex NHS Foundation Trust, Eastern Road, Brighton, BN2 5BF, UK. mayank_nanavaty@hotmail.com.
Hasan NaveedSussex Eye Hospital, University Hospitals Sussex NHS Foundation Trust, Eastern Road, Brighton, BN2 5BF, UK.
Zahra AshenaSussex Eye Hospital, University Hospitals Sussex NHS Foundation Trust, Eastern Road, Brighton, BN2 5BF, UK.
Ritika MukhijaSussex Eye Hospital, University Hospitals Sussex NHS Foundation Trust, Eastern Road, Brighton, BN2 5BF, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to assess the surface quality of cap, stroma and lenticular surfaces created using low-energy femtosecond laser lenticule extraction (Ziemer FEMTO LDV Z8). Twenty-four porcine eyes were divided into four groups (n = 6 each): two with optimal laser power (32%) with posterior curvature equivalent to a spherical correction of -2D and -5D, respectively and the other two with high power (64%) with spherical correction of -2D and -5D respectively. Samples were analysed using scanning electron microscopy (SEM). Surface morphology was evaluated using a standard scoring system; surface relief, surface regularity, extent and position of irregularities were graded by four independent clinicians. Eyes with 32% power and -2D correction had significantly less size of the irregular area than those with -5D; however, no significant difference was found between the two groups with 64% power. When comparing eyes with -2D correction, the size of the irregular area was lesser with 32% power. Surface relief was lesser with -5D correction with 32% power than 64% power. Low-energy femtosecond laser lenticule extraction (Ziemer FEMTO LDV Z8) produces good surface quality results. There is a tendency for smoother surface stromal quality with lower power settings than a higher power.

Indexed as

Corneal Surgery, LaserLens, CrystallineAnimalsCorneaCorneal StromaMicroscopy, Electron, ScanningSwine

Identifiers

PMID35705567
PMCPMC9200215

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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.