Evidence map›Paper›PMID 33842006›Full record

Trial reportJournal of advanced research2021

Comparison of tear proteomic and neuromediator profiles changes between small incision lenticule extraction (SMILE) and femtosecond laser-assisted in-situ keratomileusis (LASIK).

Yu-Chi Liu, Gary Hin-Fai Yam, Molly Tzu-Yu Lin, Ericia Teo, Siew-Kwan Koh, Lu Deng, Lei Zhou, Louis Tong, Jodhbir S Mehta

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of advanced research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

33 citing papers in PubMed, 47 citations in OpenAlex.

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  7. The Role ofBiomolecules · 2025
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  12. Evaluation ofFrontiers in bioengineering and biotechnology · 2025
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  16. Applications of artificial intelligence and bioinformatics methodologies in the analysis of ocular biofluid markers: a scoping review.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 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

9 authors at 4 institutions in 2 countries.

Yu-Chi LiuTissue Engineering and Cell Therapy Group, Singapore Eye Research Institute, Singapore.
Gary Hin-Fai YamTissue Engineering and Cell Therapy Group, Singapore Eye Research Institute, Singapore.
Molly Tzu-Yu LinTissue Engineering and Cell Therapy Group, Singapore Eye Research Institute, Singapore.
Ericia TeoTissue Engineering and Cell Therapy Group, Singapore Eye Research Institute, Singapore.
Siew-Kwan KohOcular Proteomics, Singapore Eye Research Institute, Singapore.
Lu DengDepartment of Statistics and Applied Probability, Faculty of Science, National University of Singapore, Singapore.
Lei ZhouOphthalmology and Visual Sciences Academic Clinical Program, Duke-NUS Medical School, Singapore.
Louis TongDepartment of Cornea and External Eye Disease, Singapore National Eye Centre, Singapore.
Jodhbir S MehtaTissue Engineering and Cell Therapy Group, Singapore Eye Research Institute, Singapore.
National University of Singapore · SGSingapore Eye Research Institute · SGSingapore National Eye Center · SGUniversity of Pittsburgh · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The tear proteomics and neuromediators are associated with clinical dry eye parameters following refractive surgery. Purpose: To investigate and compare the tear proteomic and neuromediator profiles following small incision lenticule extraction (SMILE) versus laser-assisted in-situ keratomileusis (LASIK). Methods: In this randomized controlled trial with paired-eye design, 70 patients were randomized to receive SMILE in one eye and LASIK in the other eye. Tear samples were collected preoperatively, and 1 week, 1, 3, 6 and 12 months postoperatively, and were examined for protein concentration changes using sequential window acquisition of all theoretical fragment ion mass spectrometry (SWATH-MS). The data were analyzed with DAVID Bioinformatics Resources for enriched gene ontology terms and over-represented pathways. Tear neuromediators levels were correlated with clinical parameters. Results: Post-SMILE eyes had significantly better Oxford staining scores and tear break-up time (TBUT) than post-LASIK eyes at 1 and 3 months, respectively. Tear substance P and nerve growth factor levels were significantly higher in the LASIK group for 3 months and 1 year, respectively. SMILE and LASIK shared some similar biological responses postoperatively, but there was significant up-regulation in leukocyte migration and wound healing at 1 week, humoral immune response and apoptosis at 1 month, negative regulation of endopeptidase activity at 3 to 6 months, and extracellular structure organization at 1 year in the post-LASIK eyes. Tear mucin-like protein 1 and substance P levels were significantly correlated with TBUT ( Conclusion: Significant differences in the tear neuromediators and proteomics were observed between SMILE and LASIK, even though clinical dry eye signs have subsided and became comparable between 2 procedures.

Indexed as

AdultCorneaCorneal Surgery, LaserDry Eye SyndromesEndopeptidasesFemaleHumansKeratomileusis, Laser In SituLasers, ExcimerMaleMucinsMyopiaNerve Growth FactorsPostoperative PeriodProteomicsReceptors, NeurotransmitterEndopeptidasesMucinsMUCL1 protein, humanNerve Growth FactorsReceptors, NeurotransmitterDry eyeLaser-assisted in-situ keratomileusisNeuromediatorsProteomicsSmall incision lenticule extractionTear

Identifiers

PMID33842006
PMCPMC8020296
OpenAlexW3097216116

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.