Evidence map›Paper›PMID 39963316›Full record

Trial reportClinical optometry2025

Patient Experience with ABBV-444, a Proof-of-Concept Study for a Novel Artificial Tear with Trehalose and Sodium Hyaluronate for Dry Eye Symptoms.

Milton M Hom, Omar Ladhani, Zuoyi Zhang, Haixia Liu, Sadhana Sonparote, Charlotte C Dancey

Abstract readCase ReportsClinical Trial
In one paragraph

Trial report in Clinical optometry, 2025. 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. 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

6 authors.

Milton M HomCanyon City Eyecare, Azusa, CA, USA.
Omar LadhaniAbbVie, North Chicago, IL, USA.
Zuoyi ZhangAbbVie, North Chicago, IL, USA.
Haixia LiuAbbVie, Irvine, CA, USA.
Sadhana SonparoteAbbVie, North Chicago, IL, USA.
Charlotte C DanceyAbbVie, Irvine, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Dry eye disease (DED) causes discomfort and potential damage to the surface of the eye, commonly managed with artificial tears. We assessed symptom relief, tolerability, and patient experience of a novel carboxymethyl-cellulose-based artificial tear formulation with trehalose and sodium hyaluronate (ABBV-444) in patients with DED. Methods: This open-label, single-arm, single center study enrolled adult patients with baseline Ocular Surface Disease Index (OSDI) scores of ≥18 and ≤65. Patients were instructed to use ABBV-444 as often as needed but at least twice a day for 30 days. The primary endpoint was change from baseline in OSDI score at Day 30. Secondary endpoints were onset of action (change from baseline in current symptom survey [CSS] visual analog scale [VAS] scores over 5 minutes post administration on Day 1) and patients' experience (change from baseline in Patient Eye Drop Experience [PEDE] survey VAS scores at Day 30). Outcomes were assessed in the per-protocol (PP) population using descriptive statistics. A paired Results: A total of 34 patients were included in the PP population. DED severity, measured by OSDI, significantly decreased by a mean (standard deviation; SD) score of 6.8 (15.0) points from baseline to Day 30 ( Conclusion: Continuous daily treatment with ABBV-444 reduced DED symptom severity over 30 days and demonstrated rapid onset of action within 30 seconds post administration. These results suggest that ABBV-444 is a viable therapy for DED symptoms and support further investigation of longer-term treatment in multicenter trials.

Indexed as

artificial tearscarboxymethylcellulosedry eye diseasetrehalose

Identifiers

PMID39963316
PMCPMC11830937

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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.