Evidence map›Paper›PMID 39477774›Full record

ArticleContact lens & anterior eye : the journal of the British Contact Lens Association2025

The repeatability of tests for dry eye signs and symptoms in the dry eye assessment and management (DREAM) study.

Anna Chen, Patrick Augello, Penny Asbell, Gui-Shuang Ying, DREAM Research Group

Registry-linked trialAbstract readMulticenter Study
In one paragraph

Article in Contact lens & anterior eye : the journal of the British Contact Lens Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07185854 (Acupuncture Combined With Artificial Tears Compared With Artificial Tears Alone in Moderate Dry Eye), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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.

NCT07185854 nacompletednot on this map

Acupuncture Combined With Artificial Tears Compared With Artificial Tears Alone in Moderate Dry Eye: A Randomized Controlled Trial

TypeinterventionalSponsorNadide KocaRan2024 to 2025Enrolled90ConditionsDry Eye, AcupunctureArmsArtificial tears, Traditional Chinese Medicine Acupuncture
3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Dynamic Tear Film Stability Assessed via an Open-View Double-Pass Imaging System.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2026
    Article
  3. Article
  4. 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

5 authors.

Anna ChenUniversity of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States.
Patrick AugelloTemple University School of Public Health, Philadelphia, PA, United States.
Penny AsbellUniversity of Memphis, Memphis, TN, United States.
Gui-Shuang YingCenter for Preventive Ophthalmology and Biostatistics, Department of Ophthalmology, University of Pennsylvania Perelman School of Medicine, United States. Electronic address: gsying@pennmedicine.upenn.edu.
DREAM Research Group

Funding

Scientific TransparencyP30EY001583 · NEI · UNIVERSITY OF PENNSYLVANIA · PI CLAIRE H MITCHELL · 1985 to 2026
$19.5M
The Dry Eye Evaluation And Management (DREAM) Study: Coordinating CenterU10EY022879 · NEI · UNIVERSITY OF PENNSYLVANIA · PI MAGUIRE, MAUREEN G · 2013 to 2018
$7.3M
Dry Eye Evaluation and Management (DREAM) StudyU10EY022881 · NEI · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI ASBELL, PENNY · 2013 to 2020
$2.2M
Developing new methods for early detection of Sjogren's syndromeR01EY026972 · NEI · UNIVERSITY OF PENNSYLVANIA · PI BUNYA, VATINEE Y · 2016 to 2020
$2.0M
Secondary Analysis of Data from the Dry Eye Assessment and Management (DREAM) StudyR21EY031338 · NEI · UNIVERSITY OF PENNSYLVANIA · PI YING, GUI-SHUANG · 2020 to 2021
$448k
NEI NIH HHS P30 EY001583NEI NIH HHS R01 EY026972NEI NIH HHS R21 EY031338NEI NIH HHS U10 EY022879NEI NIH HHS U10 EY022881
6 · The paper itself

Abstract

purposeTo assess the repeatability of measures for dry eye disease (DED) symptoms and signs in the DREAM study.

methodsAt screening and baseline visits approximately 2 weeks apart, participants were assessed for symptoms by Ocular Surface Disease Index (OSDI) and Brief Ocular Discomfort Index (BODI), and signs by the same physician in the same order: tear break-up time (TBUT), corneal staining, conjunctival staining, Meibomian gland evaluation, and the Schirmer test. The repeatability of DED symptoms and signs was assessed by interclass correlation coefficient (ICC), 95 % limits of agreement, and the percent of eyes with inter-visit difference above the clinically significant threshold.

resultsAmong 1046 eyes (523 participants), ICC for signs ranged from 0.53 (TBUT) to 0.73 (corneal staining). A substantial percentage of eyes showed clinically significant inter-visit differences: ≥2 points in 17.8 % of eyes for conjunctival staining; ≥3 points in 18.8 % for corneal staining; >2 s in 14.1 % for TBUT; ≥5 mm/5 min in 29.9 % for the Schirmer test, and ≥ 2 points in 27.5 % for Meibomian gland plugging and lid secretion. The OSDI and BODI had ICC of 0.64 and 0.63 respectively, and nearly 40 % of participants had inter-visit score differences ≥ 10 points.

conclusionIn DREAM participants with moderate-to-severe DED, DED signs and symptoms had moderate repeatability, with ocular surface staining scores being the most repeatable and TBUT the least repeatable. A notable percentage of participants had inter-visit differences above the clinically meaningful threshold. These test-retest variabilities in DED signs and symptoms should be considered for designing clinical trials and monitoring disease progression.

Indexed as

Diagnostic Techniques, OphthalmologicalDry Eye SyndromesTearsAdultAgedConjunctivaCorneaFemaleHumansMaleMeibomian GlandsMiddle AgedReproducibility of ResultsClinical trialsDry eye diseaseRepeatabilitySignsSymptoms

Identifiers

PMID39477774
PMCPMC11911092

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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.