Evidence map›Paper›PMID 42067757›Full record

ArticleBMC gastroenterology2026

Estimated no-show rate from the electronic record strongly correlates with endoscopy no-show.

Lilah Blalock, Edgar Corona, Dalia Martinez, Shreya Patel, Justin L Sewell, Ma Somsouk

Abstract read
In one paragraph

Article in BMC gastroenterology, 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

6 authors.

Lilah BlalockSchool of Medicine, University of California, San Francisco, San Francisco, CA, USA.
Edgar CoronaDepartment of Medicine, University of California, San Francisco, San Francisco, CA, USA.
Dalia MartinezAcademic Research Services, Clinical & Translational Science Institute, University of California, San Francisco, CA, USA.
Shreya PatelDepartment of Medicine, University of California, San Francisco, San Francisco, CA, USA.
Justin L SewellDepartment of Medicine, University of California, San Francisco, San Francisco, CA, USA.
Ma SomsoukDepartment of Medicine, University of California, San Francisco, San Francisco, CA, USA. ma.somsouk@ucsf.edu.

Funding

IMProving Adherence to Colonoscopy through Teams and Technology (IMPACTT)R01CA271031 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Urmimala Sarkar, Ma Somsouk · 2022 to 2026
$3.3M
NCI NIH HHS R01CA271031
6 · The paper itself

Abstract

backgroundHigh demand for endoscopic procedures contributes to prolonged wait times and limited access to care, particularly in safety-net health systems. Missed appointments, including no-shows and late reschedules, further strain resources and delay diagnosis and treatment. Epic Systems provides a proprietary Risk of Patient No-Show Model, previously validated in primary care settings, but its performance in predicting attendance for endoscopy appointments has not been evaluated.

methodsA retrospective cohort study was conducted among adults scheduled for outpatient endoscopy at a single safety-net hospital between January 1, 2023, and August 1, 2024. Patients aged ≥ 18 years with at least one prior encounter in the electronic medical record (EMR) were included; inpatient procedures and early cancellations (> 2 days before the appointment) were excluded. The primary outcome was appointment completion versus no-show. Epic's predicted no-show risk, demographic characteristics, procedure type, and patient portal activation status were extracted. The relationship between predicted and observed no-show rates was assessed using the coefficient of determination (R²) and linear regression. Secondary analyses stratified results by patient portal activation.

resultsAmong 4,658 unique patients, the median age was 59 years, 52.2% were male, and the cohort was racially and linguistically diverse. Overall, 1,493 patients (32.1%) did not attend their scheduled endoscopy. Epic's predicted no-show risk demonstrated a strong linear correlation with actual no-show rates (R² = 0.87). Observed missed appointment rates followed the equation: Missed Appointment Rate = 1.30 × (Epic Risk) + 0.16, indicating a baseline no-show rate of 16%. Each percentage-point increase in Epic's predicted risk corresponded to a 1.3-point increase in observed no-show rate. Patients without an activated patient portal (MyChart) had approximately 5-percentage-point higher no-show rates across the risk spectrum.

conclusionsEpic's Risk of Patient No-Show model shows strong correlation with real-world endoscopy attendance and may support predictive overbooking and targeted outreach to improve endoscopy unit efficiency. Given its integration within the EMR, this tool offers a practical framework for operational interventions, though further validation across diverse health systems is warranted.

Indexed as

Appointments and SchedulesElectronic Health RecordsNo-Show PatientsAdultAgedFemaleHumansMaleMiddle AgedRetrospective StudiesEndoscopyEpicNo-showPrediction model

Identifiers

PMID42067757
PMCPMC13276991

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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.