Evidence map›Paper›PMID 41733439›Full record

ArticleOcular immunology and inflammation2026

Characteristics Associated with Appointment No-Show at an Academic Uveitis Service.

Christina L Kong, Lola Ortiz-Whittingham, Hai-Wei Liang, Jonathan Yang, Julie Cassidy, Tonge Enoh, Marie-Hélène Errera, Andrew M Williams

Abstract read
In one paragraph

Article in Ocular immunology and inflammation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Christina L KongDepartment of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Lola Ortiz-WhittinghamDepartment of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Hai-Wei LiangDepartment of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Jonathan YangDepartment of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Julie CassidyDepartment of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Tonge EnohDepartment of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Marie-Hélène ErreraDepartment of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Andrew M WilliamsDepartment of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.

Funding

Virus Production and Manipulation of Protein/Gene Expression ModuleP30EY008098 · NEI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Yuanyuan Chen · 1989 to 2026
$17.8M
Medical Scientist Training ProgramT32GM144300 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI RICHARD A STEINMAN, Russell S Schwartz · 2022 to 2026
$7.9M
NEI NIH HHS P30 EY008098NIGMS NIH HHS T32 GM144300
6 · The paper itself

Abstract

purposeTo examine the association between patient characteristics and appointment no-show among uveitis patients.

methodsIn this retrospective cohort study from a tertiary, academic uveitis service, we examined appointment attendance outcomes for patients with a uveitis diagnosis code and at least one completed encounter. We examined demographic, clinical, and appointment status data from the electronic health record from 2019 to 2023. The main outcome was the presence of ≥ 1 appointment that was not attended and not cancelled within 24 h, defined as "no-show" (NS). Univariable and multivariable regression models with robust variance estimation were used to identify risk factors for NS. Risk ratios (RR) were calculated and reported with 95% confidence intervals (CI). Sensitivity analyses were conducted to account for count of total appointments, to assess NS rate over the time that excludes peak disruptions from coronavirus disease 2019, and to impute missing data.

results1,081 patients had 6843 scheduled encounters with the uveitis service, of whom 393 (36.4%) had at least one NS visit. In the adjusted analysis, younger age (adjusted RR [aRR] = 1.79, 95% CI: 1.03-3.13, age < 60 years compared to ≥ 80), Black race (aRR = 1.90, 95% CI: 1.58-2.27,

conclusionAge, race, insurance status, and blindness are associated with NS among uveitis patients. Targeted interventions may mitigate NS rates and consequent undertreatment of potentially blinding inflammatory eye diseases.

Indexed as

Academic Medical CentersAppointments and SchedulesNo-Show PatientsUveitisAdolescentAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedRetrospective StudiesRisk FactorsUnited StatesAppointment nonattendancehealth disparitieslapses in careloss to follow-upno-show

Identifiers

PMID41733439
PMCPMC13491133

What OpenQuestion holds

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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.