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S3341 When It Is Not Inflammatory Bowel Disease: IBD Mimics Presented at IBD Live

2021· article· en· W3211110687 on OpenAlexaboutno aff
Chris Ward, Shiraz A. Shah, Francis A. Farraye, Alka Goyal, Andrew Watson, Mark Lazarev, John S. Hanson, Myron Brand, Steven D. Wexner, Raymond K. Cross, Colleen Kelly, Sean Fine, Corey A. Siegel, Jeffrey Dueker, Joel R. Rosh, Kofi Clarke, Jana G. Hashash, Badr Al‐Bawardy, Abbas Rupawala, Jill Gaidos, Benjamin L. Cohen, E Förster, Tanya Bruckel, Hans Herfarth, L. Campbell Levy, Miguel Regueiro

Bibliographic record

VenueThe American Journal of Gastroenterology · 2021
Typearticle
Languageen
FieldMedicine
TopicDiverticular Disease and Complications
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineInflammatory bowel diseaseUlcerative colitisGastroenterologyInternal medicineColitisDisease

Abstract

fetched live from OpenAlex

Introduction: A group of Inflammatory Bowel Disease (IBD) specialists have been utilizing weekly live video conferences since long before the pandemic in the form of “IBD Live”. Since 2009 the conference has featured robust interactive case discussions between gastroenterologists and colorectal surgeons of multiple academic institutions and now has a global audience of 150-200 per week. Although the majority are IBD cases, there have been a significant number of cases where IBD was not the ultimate diagnosis. Methods: All 106 conferences recorded and archived between May 2018 and June 2021 were reviewed. Of the 215 cases discussed, 183 had an IBD diagnosis including 124 Crohn’s disease (CD), 54 ulcerative colitis (UC) and 5 inflammatory bowel disease unclassified. Results: Of the remaining 32 (14.9%) cases (Table), many were referred to the specialist with a prior diagnosis of IBD. There were 10 cases of colonic inflammation misdiagnosed as UC. These were most commonly drug-induced colitis secondary to immune checkpoint inhibitors, ocrelizumab for multiple sclerosis, and nintedanib for pulmonary fibrosis. Additionally, there were cases of ischemic colitis, idiopathic myointimal hyperplasia of mesenteric veins (IMHMV), segmental colitis associated with diverticulosis (SCAD), and diversion colitis. There were 8 cases of systemic diseases, diagnosed as Common Variable Immunodeficiency (CVID), sarcoidosis and vasculitis, including cases of Henoch–Schönlein purpura and of CHAI (CTLA4 haploinsufficiency with autoimmune infiltrates). There were 6 cases of ileal disorders, ultimately diagnosed as small bowel lymphoma, tuberculosis, Meckel’s diverticulum, appendiceal carcinoid and abdominal actinomyces infection all previously thought to be CD. There were small bowel mucosal disorders including collagenous sprue and autoimmune enteropathy, and 2 polyposis cases secondary to Cronkhite-Canada and juvenile polyposis syndromes. Finally, there were 3 cases where no consensus diagnosis could be made, with broad differential diagnoses including cryptogenic multifocal ulcerous stenosis enteritis (C-MUSE). Conclusion: At a global IBD webinar in a 3-year period, 14.9% of cases presented highlights the vital importance of awareness of IBD mimics. Patients may carry a diagnosis of IBD for many years prior to being correctly diagnosed and managed. This can have significant implications on quality of life and harm reduction with potential for avoidance of biological therapies used in the management of IBD.Table 1.: IBD Mimics presented at IBD live 2018-2021 Abbreviations: IMHMV - idiopathic myointimal hyperplasia of mesenteric veins; SCAD – segmental colitis associated with diverticulitis; CMV – cytomegalovirus; CVID – common variable immunodeficiency; CHAI - CTLA4 haploinsufficiency with autoimmune infiltrates; TB – tuberculosis; C-MUSE - cryptogenic multifocal ulcerous stenosis

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.133
Threshold uncertainty score0.499

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.259
Teacher spread0.245 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2021
Admission routes1
Has abstractyes

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