Evidence map›Paper›PMID 27493978›Full record

ReviewEye and vision (London, England)2016

Tear biomarkers for keratoconus.

Krishnatej Nishtala, Natasha Pahuja, Rohit Shetty, Rudy M M A Nuijts, Arkasubhra Ghosh

Open access · diamondAbstract readReview
In one paragraph

Review in Eye and vision (London, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
3.4field-weighted citation impact, top 8% 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

43 citing papers in PubMed, 77 citations in OpenAlex.

  1. Trial
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Systemic and Ocular Associations of Keratoconus.Expert review of ophthalmology · 2024
    Article
  16. Article
  17. Corneal stromal regeneration-keratoconus cell therapy: a review.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2023
    Review
  18. Article
  19. Review
  20. 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

5 authors at 2 institutions in 2 countries.

Krishnatej NishtalaGROW Research Laboratory, Narayana Nethralaya Foundation, Bangalore, India.
Natasha PahujaCornea Department, Narayana Nethralaya, Bangalore, India.
Rohit ShettyCornea Department, Narayana Nethralaya, Bangalore, India.
Rudy M M A NuijtsCornea Clinic, Department of Ophthalmology, Maastricht University Medical Center, Maastricht, Netherlands.
Arkasubhra GhoshGROW Research Laboratory, Narayana Nethralaya Foundation, Bangalore, India.
Narayana Nethralaya · INMaastricht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Keratoconus is a progressive corneal thinning, ectatic condition, which affects vision. Recent advances in corneal topography measurements has helped advance proper diagnosis of this condition and increased research and clinical interests in the disease etiopathogenesis. Considerable progress has been achieved in understanding the progression of the disease and tear fluid has played a major role in the progress. This review discusses the importance of tear fluid as a source of biomarker for keratoconus and how advances in technology have helped map the complexity of tears and thereby molecular readouts of the disease. Expanding knowledge of the tear proteome, lipidome and metabolome opened up new avenues to study keratoconus and to identify probable prognostic or diagnostic biomarkers for the disease. A multidimensional approach of analyzing tear fluid of patients layering on proteomics, lipidomics and metabolomics is necessary in effectively decoding keratoconus and thereby identifying targets for its treatment.

Indexed as

BiomarkersKeratoconusMetabolitesProteinsTears

Identifiers

PMID27493978
PMCPMC4973115
OpenAlexW2481799357

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.