Evidence map›Paper›PMID 40692821›Full record

ArticleGastro hep advances2025

Insurance Denial of Biologic Therapy is Associated With Reduced Remission Rates in Inflammatory Bowel Disease Patients.

Erin Zisman, Madeline Alizadeh, Leah Rossmann, Jennifer Grossman, Cydney Nguyen, Pinkle Paul, Uni Wong

Abstract read
In one paragraph

Article in Gastro hep advances, 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. Review
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

7 authors.

Erin ZismanInternal Medicine, University of Maryland Medical System, Baltimore, Maryland.
Madeline AlizadehInstitute for Genome Sciences, UMSOM, Baltimore, Maryland.
Leah RossmannInternal Medicine, University of Maryland Medical System, Baltimore, Maryland.
Jennifer GrossmanInternal Medicine, University of Maryland Medical System, Baltimore, Maryland.
Cydney NguyenInternal Medicine, University of Maryland Medical System, Baltimore, Maryland.
Pinkle PaulInternal Medicine, University of Maryland Medical System, Baltimore, Maryland.
Uni WongGastroenterology and Hepatology, Washington DC Veterans Health Administration, Washington, District of Columbia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Biologic therapy is indicated for patients with moderate to severe inflammatory bowel disease (IBD) and delays in access to these medications have been associated with higher health-care utilization. We examined whether patients who experienced insurance denials of biologics had worse outcomes, as indicated by disease activity and the number of emergency department (ED) visits and hospitalizations had following medication denial. Methods: Our single-center retrospective cohort study included 169 patients with IBD who were seen at a tertiary care center (University of Maryland Medical Center) and had an insurance denial for biologic therapy between March 2021 and October 2021. Data were collected through chart review. Results: At 6 months following denial, 58.0% of patients were in remission, 37.9% had active disease, and 4.1% had unknown status. Those who did not receive medication approval were significantly more likely to have active disease (Odds ratio = 0.16, 95% confidence interval = [0.04‒0.69] Conclusion: Our study demonstrates an association between insurance denial of biologic therapy and lack of clinical remission with associated increased health-care utilization in IBD patients.

Indexed as

Health-Care UtilizationInflammatory Bowel DiseaseInsurance Approval PoliciesOutcomes of Medication Delays

Identifiers

PMID40692821
PMCPMC12277724

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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.