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Record W4311978177 · doi:10.14740/gr1586

Clinical Features and Management of Small Bowel Masses Detected During Device-Assisted Enteroscopy: A Multi-Center Experience

2022· article· en· W4311978177 on OpenAlexvenueno aff
Michael G. Noujaim, Claire Dorsey, Alice Parish, Daniel Raines, Lara Boudreaux, Mark Hanscom, David R. Cave, Donna Niedzwiecki, Daniel Wild

Bibliographic record

VenueGastroenterology Research · 2022
Typearticle
Languageen
FieldMedicine
TopicGastrointestinal Bleeding Diagnosis and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineEnteroscopyInstitutional review boardCohortVeterans AffairsRetrospective cohort studyRadiologyLesionSurgeryEndoscopyInternal medicine

Abstract

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Background: Small bowel mass lesions (SBMLs) are rare, span a range of different histologies and phenotypes, and our understanding of them is limited. Some lesions occur in patients with recognized polyposis syndromes and others arise sporadically. The current literature regarding SBMLs is limited to small retrospective studies, case reports, and small case series. This large multi-center study aims to understand the various clinical presentations, histologies and management options for SBMLs. Methods: After obtaining Institutional Review Board (IRB) approval, electronic records were used to identify all device-assisted enteroscopy (DAE) performed for luminal small bowel evaluation in adult patients at three US referral centers (Duke, LSU and UMass) from January 1, 2014, to October 1, 2020. We identified all patients within this cohort in whom a SBML was detected. Using a focused electronic medical record chart review, we collected patient, procedure, and lesion-related data and used descriptive statistics to explore relationships between these data and outcomes. Results: A total of 218 patients (49 at Duke, 148 at LSU, and 21 at UMass) in this cohort had at least one SBML found on DAE. The most common presenting symptoms were iron-deficiency anemia/bleeding (73.3%) and abnormal imaging (33.6%). Thirty-five percent of patients had symptoms for more than a year prior to their diagnosis. Most patients (71.6%) underwent video capsule endoscopy (VCE) prior to DAE and 84% of these exams showed the lesion. The lesion was seen less frequently (48.9%) on computed tomography (CT) scan performed prior to DAE. The majority of lesions were found on antegrade (56%) or retrograde (29.8%) double-balloon enteroscopy (DBE). The most common lesion phenotypes were submucosal (41.3%) and pedunculated (33%) with a much smaller number being sessile (14.7%) or obstructing/invasive (11%). They were found equally as commonly in the jejunum (46.3%) and ileum (49.5%). Most lesions were 10 - 20 mm in size (47%) but 22.1% were larger than 20 mm. The most common histologies were neuroendocrine tumors (NETs, 20.6%) and hamartomas (20.6%). Primary adenocarcinoma of the small bowel was rare, constituting only 5% of lesions. The majority of polyps (78.4%) were sporadic, compared to 21.7% associated with a polyposis or hereditary cancer syndrome, most commonly Peutz-Jeghers syndrome (18.3%). After DAE, 37.6% were advised to undergo surgical resection and 48% were advised to undergo endoscopic surveillance or no further management because of benign histology or successful endoscopic resection. Conclusions: In this multi-center retrospective study we found that SBMLs are more likely to be sporadic than syndromic, medium in size and either pedunculated or submucosal. NETs and hamartomas predominated and symptoms, most commonly anemia, can be present for more than a year prior to diagnosis. Close to one half of lesions required either no further intervention or only endoscopic surveillance.

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)0.001
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 score0.011
Threshold uncertainty score0.698

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0000.001
Research integrity0.0000.001
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 head0.130
GPT teacher head0.418
Teacher spread0.289 · 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".

Quick stats

Citations2
Published2022
Admission routes1
Has abstractyes

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