Evidence map›Paper›PMID 29857091›Full record

ArticleGastroenterology2018

Development and Validation of a Scoring System to Predict Outcomes of Vedolizumab Treatment in Patients With Crohn's Disease.

Parambir S Dulai, Brigid S Boland, Siddharth Singh, Khadija Chaudrey, Jenna L Koliani-Pace, Gursimran Kochhar, Malav P Parikh, Eugenia Shmidt, Justin Hartke, Prianka Chilukuri and 26 more

Registry-linked trialOpen access · bronzeAbstract readValidation Study
In one paragraph

Article in Gastroenterology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05186623 (Establishment of Prediction Model of Biologics and Small Molecular Agent for Patients With Ulcerative Colitis Using Longitudinal Data), which is not on this map. Cited by 76 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed, 1 pooled it
11.4field-weighted citation impact, top 1% of its field
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.

NCT05186623 recruitingnot on this mapstarted 2022, after this paper: background citation

Establishment of Prediction Model of Biologics and Small Molecular Agent for Patients With Ulcerative Colitis Using Longitudinal Data

Typeobservational_patient_registrySponsorAsan Medical CenterRan2022 to 2026Enrolled300ConditionsUlcerative ColitisArmsVedolizumab, Ustekinumab, or Tofacitinib
3 · Its place in the literature

Who cites it

76 citing papers in PubMed, 1 synthesis or guideline pooled it, 143 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Artificial intelligence in the management of inflammatory bowel disease: What's next?World journal of gastrointestinal pharmacology and therapeutics · 2026
    Review
  6. New approach methodologies in Crohn's disease link molecular disease subtypes to clinical outcomes.American journal of physiology. Gastrointestinal and liver physiology · 2026
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Review
  15. Understanding the therapeutic toolkit for inflammatory bowel disease.Nature reviews. Gastroenterology & hepatology · 2025
    Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. Observational

16 more citing papers are in PubMed but not listed here.

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

36 authors at 14 institutions in 2 countries.

Parambir S DulaiUniversity of California-San Diego, La Jolla, California. Electronic address: pdulai@ucsd.edu.
Brigid S BolandUniversity of California-San Diego, La Jolla, California.
Siddharth SinghUniversity of California-San Diego, La Jolla, California.
Khadija ChaudreyMayo Clinic, Rochester, Minnesota.
Jenna L Koliani-PaceDartmouth-Hitchcock Medical Center, Lebanon, New Hampshire.
Gursimran KochharCleveland Clinic Foundation, Cleveland, Ohio.
Malav P ParikhCleveland Clinic Foundation, Cleveland, Ohio.
Eugenia ShmidtIcahn School of Medicine at Mount Sinai, New York, New York.
Justin HartkeIndiana University, Indianapolis, Indiana.
Prianka ChilukuriIndiana University, Indianapolis, Indiana.
Joseph MeserveUniversity of California-San Diego, La Jolla, California.
Diana WhiteheadDartmouth-Hitchcock Medical Center, Lebanon, New Hampshire.
Robert HirtenNorth Shore University Hospital, Manhasset, New York.
Adam C WintersIcahn School of Medicine at Mount Sinai, New York, New York.
Leah G KattaIcahn School of Medicine at Mount Sinai, New York, New York.
Farhad PeeraniIcahn School of Medicine at Mount Sinai, New York, New York; University of Alberta, Edmonton, Alberta, Canada.
Neeraj NarulaIcahn School of Medicine at Mount Sinai, New York, New York; McMaster University Medical Centre, Hamilton, Ontario, Canada.
Keith SultanNorth Shore University Hospital, Manhasset, New York.
Arun SwaminathLenox Hill Hospital, New York, New York.
Matthew BohmIndiana University, Indianapolis, Indiana.
Dana LukinMontefiore Medical Center, New York, New York.
David HudesmanNew York University (NYU), New York, New York.
John T ChangUniversity of California-San Diego, La Jolla, California.
Jesus Rivera-NievesUniversity of California-San Diego, La Jolla, California.
Vipul JairathUniversity of Western Ontario, London, Ontario, Canada.
G Y ZouUniversity of Western Ontario, London, Ontario, Canada.
Brian G FeaganUniversity of Western Ontario, London, Ontario, Canada.
Bo ShenCleveland Clinic Foundation, Cleveland, Ohio.
Corey A SiegelDartmouth-Hitchcock Medical Center, Lebanon, New Hampshire.
Edward V LoftusMayo Clinic, Rochester, Minnesota.
Sunanda KaneMayo Clinic, Rochester, Minnesota.
Bruce E SandsIcahn School of Medicine at Mount Sinai, New York, New York.
Jean-Frederic ColombelIcahn School of Medicine at Mount Sinai, New York, New York.
William J SandbornUniversity of California-San Diego, La Jolla, California.
Karen LaschTakeda Pharmaceuticals USA Inc., Deerfield, Illinois.
Charlie CaoTakeda Pharmaceuticals USA Inc., Deerfield, Illinois.
University of California San Diego · USIcahn School of Medicine at Mount Sinai · USCleveland Clinic · USDartmouth–Hitchcock Medical Center · USIndiana University – Purdue University Indianapolis · USMayo Clinic · USWestern University · CADeerfield (United States) · USNorth Shore University Hospital · USLenox Hill Hospital · USMcMaster University Medical Centre · CAMontefiore Medical Center · USNew York University · USUniversity of Alberta · CA

Funding

UC San Diego Clinical and Translational Research InstituteKL2TR001444 · NCATS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DEPP, COLIN A. · 2015 to 2024
$15.4M
Training Grant in GastroenterologyT32DK007202 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GHOSH, PRADIPTA · 1985 to 2022
$7.7M
Novel Traffic-targeted Therapies for IBDR01DK108670 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI RIVERA-NIEVES, JESUS · 2016 to 2020
$3.3M
Comparative Risks and Benefits of Pharmacological Therapies for Older Patients with Inflammatory Bowel DiseasesK23DK117058 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SINGH, SIDDHARTH · 2018 to 2022
$971k
NCATS NIH HHS KL2 TR001444NIDDK NIH HHS K23 DK117058NIDDK NIH HHS R01 DK108670NIDDK NIH HHS T32 DK007202
6 · The paper itself

Abstract

BACKGROUND &

aimsAs more treatment options for inflammatory bowel diseases become available, it is important to identify patients most likely to respond to different therapies. We created and validated a scoring system to identify patients with Crohn's disease (CD) who respond to vedolizumab.

methodsWe collected data from the GEMINI 2 phase 3 trial of patients with active CD treated with vedolizumab for 26 weeks (n = 814) and performed logistic regression analysis to identify factors associated with clinical, steroid-free, and durable remission (derivation set). We used these data to develop a clinical decision support tool, which we validated using data from 366 participants in a separate clinical practice observational cohort of patients with active CD treated with vedolizumab for 26 weeks (the VICTORY cohort). We evaluated the ability of this tool to identify patients in clinical remission or corticosteroid-free remission, or those with mucosal healing (MH), clinical remission with MH, or corticosteroid-free remission with MH after vedolizumab therapy using receiver operating characteristic area under the curve (AUC) analyses. The primary outcome was to develop and validate a list of factors associated with achieving remission by vedolizumab in patients with active CD.

resultsIn the derivation analysis, we identified absence of previous treatment with a tumor necrosis factor antagonist (+3 points), absence of prior bowel surgery (+2 points), absence of prior fistulizing disease (+2 points), baseline level of albumin (+0.4 points per g/L), and baseline concentration of C-reactive protein (reduction of 0.5 points for values between 3.0 and 10.0 mg/L and 3.0 points for values >10.0 mg/L) as factors associated with remission. In the validation set, our model identified patients in clinical remission with an AUC of 0.67, patients in corticosteroid-free remission with an AUC of 0.66, patients with MH with an AUC of 0.72, patients in clinical remission with MH with an AUC of 0.73, and patients in corticosteroid-free clinical remission with MH with an AUC of 0.75. A cutoff value of 13 points identified patients in clinical remission after vedolizumab therapy with 92% sensitivity, patients in corticosteroid-free remission with 94% sensitivity, patients with MH with 98% sensitivity, patients with clinical remission and MH with 100% sensitivity, and patients with corticosteroid-free clinical remission with MH with 100% sensitivity.

conclusionsWe developed and validated a scoring system to identify patients with CD most likely to respond to 26 weeks of vedolizumab therapy. Further studies are needed to optimize its accuracy in select populations and determine its cost-effectiveness.

Indexed as

Severity of Illness IndexAdultAntibodies, Monoclonal, HumanizedArea Under CurveC-Reactive ProteinCrohn DiseaseFemaleGastrointestinal AgentsHumansInduction ChemotherapyLogistic ModelsMaleMiddle AgedSensitivity and SpecificityTreatment OutcomeAntibodies, Monoclonal, HumanizedC-Reactive ProteinGastrointestinal AgentsvedolizumabBiomarkerCDIBDPrediction Model

Identifiers

PMID29857091
PMCPMC6419724
OpenAlexW2805227055

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Registered trials

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.