Evidence map›Paper›PMID 39724470›Full record

Observational studyDigestive diseases and sciences2025

Characteristics and Outcomes of Over a Million Patients with Inflammatory Bowel Disease in Seven Countries: Multinational Cohort Study and Open Data Resource.

Chen Yanover, Ramit Magen-Rimon, Erica A Voss, Joel Swerdel, Anna Sheahan, Nathan Hall, Jimyung Park, Rae Woong Park, Kwang Jae Lee, Sung Jae Shin and 13 more

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Digestive diseases and sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

23 authors.

Chen YanoverOHDSI Collaborators, Observational Health Data Sciences and Informatics (OHDSI), New York, NY, USA. yanover@ohdsi.org.
Ramit Magen-RimonOHDSI Collaborators, Observational Health Data Sciences and Informatics (OHDSI), New York, NY, USA.
Erica A VossOHDSI Collaborators, Observational Health Data Sciences and Informatics (OHDSI), New York, NY, USA.
Joel SwerdelOHDSI Collaborators, Observational Health Data Sciences and Informatics (OHDSI), New York, NY, USA.
Anna SheahanOHDSI Collaborators, Observational Health Data Sciences and Informatics (OHDSI), New York, NY, USA.
Nathan HallOHDSI Collaborators, Observational Health Data Sciences and Informatics (OHDSI), New York, NY, USA.
Jimyung ParkOHDSI Collaborators, Observational Health Data Sciences and Informatics (OHDSI), New York, NY, USA.
Rae Woong ParkOHDSI Collaborators, Observational Health Data Sciences and Informatics (OHDSI), New York, NY, USA.
Kwang Jae LeeOHDSI Collaborators, Observational Health Data Sciences and Informatics (OHDSI), New York, NY, USA.
Sung Jae ShinOHDSI Collaborators, Observational Health Data Sciences and Informatics (OHDSI), New York, NY, USA.
Seung In SeoOHDSI Collaborators, Observational Health Data Sciences and Informatics (OHDSI), New York, NY, USA.
Kyung-Joo LeeOHDSI Collaborators, Observational Health Data Sciences and Informatics (OHDSI), New York, NY, USA.
Thomas FalconerOHDSI Collaborators, Observational Health Data Sciences and Informatics (OHDSI), New York, NY, USA.
Leonard HaasOHDSI Collaborators, Observational Health Data Sciences and Informatics (OHDSI), New York, NY, USA.
Paul NagyOHDSI Collaborators, Observational Health Data Sciences and Informatics (OHDSI), New York, NY, USA.
Mary Grace BowringOHDSI Collaborators, Observational Health Data Sciences and Informatics (OHDSI), New York, NY, USA.
Michael CookOHDSI Collaborators, Observational Health Data Sciences and Informatics (OHDSI), New York, NY, USA.
Steven MillerOHDSI Collaborators, Observational Health Data Sciences and Informatics (OHDSI), New York, NY, USA.
Tal El-HayOHDSI Collaborators, Observational Health Data Sciences and Informatics (OHDSI), New York, NY, USA.
Maytal Bivas-BenitaOHDSI Collaborators, Observational Health Data Sciences and Informatics (OHDSI), New York, NY, USA.
Pinchas AkivaOHDSI Collaborators, Observational Health Data Sciences and Informatics (OHDSI), New York, NY, USA.
Yehuda ChowersOHDSI Collaborators, Observational Health Data Sciences and Informatics (OHDSI), New York, NY, USA.
Roni WeisshofOHDSI Collaborators, Observational Health Data Sciences and Informatics (OHDSI), New York, NY, USA.

Funding

Leveraging a novel health records platform to predict the development of cardiovascular disease following kidney transplantationF30HL168842 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI BOWRING, MARY GRACE · 2023 to 2025
$170k
Ministry of Health & Welfare, Republic of Korea HR16C0001NHLBI NIH HHS F30 HL168842NHLBI NIH HHS HL168842
6 · The paper itself

Abstract

BACKGROUND AND

aimsObservational healthcare data are an important tool for delineating patients' inflammatory bowel disease (IBD) journey in real-world settings. However, studies that characterize IBD cohorts typically rely on a single resource, apply diverse eligibility criteria, and extract variable sets of attributes, making comparison between cohorts challenging. We aim to longitudinally describe and compare IBD patient cohorts across multiple geographic regions, employing unified data and analysis framework.

methodsWe conducted a descriptive cohort study, using routinely collected healthcare data, from a federated network of data partners in sixteen databases from seven countries (USA, UK, France, Germany, Japan, Korea, and Australia); and computed the prevalence of thousands of attributes, across multiple baseline and follow-up time windows, for full disease cohorts and various strata.

resultsCharacterizing the disease trajectory of 462,502 Crohn's disease (CD) and 589,118 ulcerative colitis (UC) subjects, we observed a decline over time in the average age at CD diagnosis in Europe and North America but less pronounced shifts in Japan and Korea; an uptick in the proportion of patients with anxiety diagnosis prior to CD diagnosis in European and US datasets; and stable rates of segmental colonic and small bowel resections within one and three years following UC and CD diagnosis, respectively, in most US databases.

conclusionsThe study provides a comprehensive characterization of IBD patient cohorts from various countries including insights into disease trends, demographics, and pre-diagnosis symptoms. All characteristics and outcomes are publicly available, providing an unprecedented, comprehensive open resource for clinicians and researchers.

Indexed as

Colitis, UlcerativeCrohn DiseaseInflammatory Bowel DiseasesAdultAgedAustraliaCohort StudiesDatabases, FactualEuropeFemaleFranceGermanyHumansJapanLongitudinal StudiesMaleCohort studyCrohn’s diseaseRoutinely collected health dataUlcerative colitis

Identifiers

PMID39724470
PMCPMC11839857

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.