Evidence map›Paper›PMID 41429121›Full record

Observational studyKorean journal of ophthalmology : KJO2026

Tear Film Inflammatory Biomarkers in Keratoconus: Insights into Disease Severity and Diagnostic Potential.

SreeLakshmi Pallamreddy, Sandhya Cheedella, Murali Krishna Damdamraju, Madhusudana Pulaganti

Abstract readObservational Study
In one paragraph

Observational study in Korean journal of ophthalmology : KJO, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Observational
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.

SreeLakshmi PallamreddyDepartment of Ophthalmology, Sri Venkateswara Medical College, Tirupati, India.
Sandhya CheedellaDepartment of Ophthalmology, Balaji Medical College, Hospital and Research Institute, Tirupati, India.
Murali Krishna DamdamrajuDepartment of Ophthalmology, SPV Government Medical College, Machilipatnam, India.
Madhusudana PulagantiDepartment of Ophthalmology, Sri Venkateswara Medical College, Tirupati, India.

Funding

Indian Council of Medical Research
6 · The paper itself

Abstract

purposeKeratoconus (KC) involves a progressive corneal deformation, recognized as having an inflammatory component, despite traditionally being considered noninflammatory. This study investigates the notable tear film cytokines and their correlation with KC disease severity. The objectives of this study were to measure inflammatory tear biomarkers in KC patients and to compare them with healthy controls and to evaluate biomarker levels across different severity stages of KC. This study follows a case-control observational design, comparing inflammatory tear biomarkers in KC patients (cases) and healthy individuals (controls), at a single point in time without intervention.

methodsEighteen KC patients and 25 healthy individuals were enrolled. Tear samples were collected via Schirmer strips and analyzed for interleukin (IL)-1β, IL-4, IL-6, IL-10, matrix metalloproteinase 9 (MMP-9), and tumor necrosis factor α (TNF-α) using ELISA. Group comparisons were made using nonparametric tests, and Spearman correlation evaluated associations with disease severity.

resultsKC patients showed significantly elevated levels of IL-1β, IL-4, IL-6, IL-10, MMP-9, and TNF-α (p < 0.05). IL-1β, MMP-9, and TNF-α demonstrated strong associations with disease severity, while IL-6 and IL-10 exhibited moderate correlations, and IL-4 showed only a weak association with KC progression.

conclusionsThe study emphasizes inflammation's role in KC and identifies tear film inflammatory markers as promising tools for diagnosis, prognosis, early detection, disease monitoring, and personalized treatment.

Indexed as

BiomarkersCytokinesKeratoconusTearsAdultCase-Control StudiesEnzyme-Linked Immunosorbent AssayFemaleHumansInflammationMaleSeverity of Illness IndexYoung AdultBiomarkersCytokinesBiomarkersDisease progressionInflammationKeratoconusTears

Identifiers

PMID41429121
PMCPMC13078931

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.