Evidence map›Paper›PMID 40908534›Full record

ArticleNeurogastroenterology and motility2025

First Real-World Evidence of an AI-Enhanced Digital Collaborative Care Model to Improve IBS Symptoms.

Stephen E Lupe, Joseph M Olson, Kendra Kamp, Margaret Heitkemper, Mythili P Pathipati, Madison L Simons, Jordan Brown, Samuel N Jactel, Miguel Regueiro, Anthony Lembo and 1 more

Abstract read
In one paragraph

Article in Neurogastroenterology and motility, 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

11 authors.

Stephen E LupeThe Cleveland Clinic, Cleveland, Ohio, USA.ORCID https://orcid.org/0000-0002-4285-6216
Joseph M OlsonAyble Health, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0002-9414-1941
Kendra KampUniversity of Washington, Seattle, Washington, USA.ORCID https://orcid.org/0000-0002-7753-3564
Margaret HeitkemperUniversity of Washington, Seattle, Washington, USA.ORCID https://orcid.org/0000-0002-2938-1842
Mythili P PathipatiDivision of Gastroenterology, Palo Alto Medical Foundation, Palo Alto, California, USA.ORCID https://orcid.org/0000-0003-3580-7974
Madison L SimonsThe Cleveland Clinic, Cleveland, Ohio, USA.ORCID https://orcid.org/0000-0002-5042-2725
Jordan BrownAyble Health, Boston, Massachusetts, USA.
Samuel N JactelAyble Health, Boston, Massachusetts, USA.
Miguel RegueiroThe Cleveland Clinic, Cleveland, Ohio, USA.ORCID https://orcid.org/0000-0002-7681-8111
Anthony LemboThe Cleveland Clinic, Cleveland, Ohio, USA.ORCID https://orcid.org/0000-0002-4479-1188
Tiffany H TaftThe Rome Foundation, Chapel Hill, North Carolina, USA.ORCID https://orcid.org/0000-0002-4670-2441

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsHealth systems struggle to deliver guideline-recommended multidisciplinary care to patients with irritable bowel syndrome (IBS). Digital collaborative care models (DCCMs) that integrate technology with experienced providers offer a promising solution for improving IBS management. We aimed to evaluate whether a novel DCCM improved clinical outcomes in IBS.

methodsA prospective, longitudinal uncontrolled single-arm study design was used to assess the Ayble Health program. Participants were recruited online via social media, clinic, or employer. Data were prospectively collected from 202 participants (78% female; 78% white) with active IBS symptoms at baseline (≥ 75 on the IBS symptom severity scale (IBS-SSS)) and completed at least one follow-up symptom survey. All participants engaged in at least one care pathway: (1) a multidisciplinary care team, (2) a nutrition program with a personalized elimination diet, and (3) a brain-gut behavioral therapy (BGBT) program. Each pathway was supported by AI algorithms trained on a large, multimodal GI dataset to identify and communicate key trends in patient-reported outcomes, further personalizing care plans.

resultsOf the 202 participants, 197 (98%) participated in the nutrition pathway, 152 (75%) the BGBT pathway, and 156 (77%) the care team pathway. The majority of participants (62%) enrolled in all three pathways. Participants experienced a 140-point decrease in IBS-SSS, on average, with 86% experiencing a ≥ 50-point reduction.

conclusionThe novel DCCM successfully delivered evidence-based care to participants with active IBS symptoms, with clinically significant, sustained symptom relief. Randomized clinical trials are recommended to assess cost and treatment efficacy compared to standard of care approaches.

Indexed as

Artificial IntelligenceIrritable Bowel SyndromeAdultAgedBehavior TherapyFemaleHumansLongitudinal StudiesMaleMiddle AgedProspective StudiesTreatment Outcomebrain–gut behavioral therapycollaborative care modeldietary treatmentirritable bowel syndrome

Identifiers

PMID40908534
PMCPMC12534582

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.