Evidence map›Paper›PMID 27413414›Full record

ReviewThe EPMA journal2016

Tear fluid biomarkers in ocular and systemic disease: potential use for predictive, preventive and personalised medicine.

Suzanne Hagan, Eilidh Martin, Amalia Enríquez-de-Salamanca

Registry-linked trialOpen access · hybridAbstract readReview
In one paragraph

Review in The EPMA journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04198740 (Proteomic and Metabolomic Lacrimal Fingerprint in Diverse Pathologies of the Ocular Surface), which is not on this map. Cited by 170 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
170citing papers in PubMed, 2 pooled it
23.6field-weighted citation impact, top 1% 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.

NCT04198740 recruitingnot on this mapstarted 2020, after this paper: background citation

Proteomic and Metabolomic Lacrimal Fingerprint in Diverse Pathologies of the Ocular Surface

TypeobservationalSponsorCentre hospitalier de l'Université de Montréal (CHUM)Ran2020 to 2035Enrolled300ConditionsDry Eye Syndrome, Infectious Keratoconjunctivitis, Mucous Membrane Pemphigoid, Allergic ConjunctivitisArmsTear sample collection via Schirmer strip and subsequent analysis by mass spectrometry
3 · Its place in the literature

Who cites it

170 citing papers in PubMed, 2 syntheses or guidelines pooled it, 371 citations in OpenAlex.

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  12. Recent advances in smart contact lenses.Biosensors & bioelectronics: X · 2026
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110 more citing papers are in PubMed but not listed here.

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

3 authors at 2 institutions in 2 countries.

Suzanne HaganDepartment of Life Sciences, Vision Sciences, Glasgow Caledonian University (GCU ), G4 0BA Glasgow, Scotland, UK.ORCID 0000-0001-9836-159X
Eilidh MartinDepartment of Life Sciences, Vision Sciences, Glasgow Caledonian University (GCU ), G4 0BA Glasgow, Scotland, UK.
Amalia Enríquez-de-SalamancaInstitute of Applied Ophthalmobiology (IOBA), University of Valladolid, Valladolid, Spain ; Biomedical Research Networking Centre in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Valladolid, Spain.
Glasgow Caledonian University · GBUniversidad de Valladolid · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the field of predictive, preventive and personalised medicine, researchers are keen to identify novel and reliable ways to predict and diagnose disease, as well as to monitor patient response to therapeutic agents. In the last decade alone, the sensitivity of profiling technologies has undergone huge improvements in detection sensitivity, thus allowing quantification of minute samples, for example body fluids that were previously difficult to assay. As a consequence, there has been a huge increase in tear fluid investigation, predominantly in the field of ocular surface disease. As tears are a more accessible and less complex body fluid (than serum or plasma) and sampling is much less invasive, research is starting to focus on how disease processes affect the proteomic, lipidomic and metabolomic composition of the tear film. By determining compositional changes to tear profiles, crucial pathways in disease progression may be identified, allowing for more predictive and personalised therapy of the individual. This article will provide an overview of the various putative tear fluid biomarkers that have been identified to date, ranging from ocular surface disease and retinopathies to cancer and multiple sclerosis. Putative tear fluid biomarkers of ocular disorders, as well as the more recent field of systemic disease biomarkers, will be shown.

Indexed as

BiomarkersCancerDiabetic retinopathyDry eyeGlaucomaMetabolomeNeurological disordersPredictive preventive personalised medicine (PPPM)ProteomeTear fluid

Identifiers

PMID27413414
PMCPMC4942926
OpenAlexW2461853521

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.