Evidence map›Paper›PMID 36362865›Full record

ArticleLife (Basel, Switzerland)2022

Pre-Lens Tear Meniscus Height, Lipid Layer Pattern and Non-Invasive Break-Up Time Short-Term Changes with a Water Gradient Silicone Hydrogel Contact Lens.

Raúl Capote-Puente, María-José Bautista-Llamas, Caterina Manzoni, José-María Sánchez-González

Abstract read
In one paragraph

Article in Life (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Review
  6. 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.

Raúl Capote-PuenteVision Research Group (CIVIUS), Department of Physics of Condensed Matter, Optica Area, University of Seville, 41012 Seville, Spain.
María-José Bautista-LlamasVision Research Group (CIVIUS), Department of Physics of Condensed Matter, Optica Area, University of Seville, 41012 Seville, Spain.ORCID 0000-0001-8317-5014
Caterina ManzoniDepartment of Materials Science, Optics and Optometry Area, University of Milano-Bicocca, 20122 Milan, Italy.
José-María Sánchez-GonzálezVision Research Group (CIVIUS), Department of Physics of Condensed Matter, Optica Area, University of Seville, 41012 Seville, Spain.ORCID 0000-0003-0450-7717

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To evaluate pre-lens tear film volume, stability and lipid interferometry patterns with a silicone hydrogel water content contact lens, a novel, noninvasive, ocular-surface-analyzer technology was used. A prospective, longitudinal, single-center, self-control study was performed in daily or monthly replacement silicone hydrogel contact lens wearers. A tear film analysis was achieved with the Integrated Clinical Platform (ICP) Ocular Surface Analyzer (OSA) from SBM System. The subjects were reassessed, with the contact lens, after 30 min of wearing to quantify the volume, stability and lipid pattern of the short-term pre-lens tear film. Lipid layer thickness decreased from 2.05 ± 1.53 to 1.90 ± 1.73 Guillon patterns (p = 0.23). First pre-lens NIBUT decreased from 5.03 ± 1.04 to 4.63 ± 0.89 s (p = 0.01). Mean pre-lens NIBUT significantly increased from 15.19 ± 9.54 to 21.27 ± 11.97 s (p < 0.01). Lid opening time significantly increased from 26.36 ± 19.72 to 38.58 ± 21.78 s (p < 0.01). The silicone hydrogel contact lens with water gradient technology significantly increased the mean pre-lens NIBUT and lid opening time. Lehfilcon A suggested an improvement in contact lens wearers with tear film instability or decreased subjective symptoms of dry eye disease.

Indexed as

contact lenslipid patternnon-invasive break-up timepre-lens tear film

Identifiers

PMID36362865
PMCPMC9697334

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Registered trials

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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.