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Record W4396939651 · doi:10.1093/ecco-jcc/jjae071

Management of Colorectal Neoplasia in IBD Patients: Current Practice and Future Perspectives

2024· review· en· W4396939651 on OpenAlexaff
Monica E. W. Derks, Maarten te Groen, Lisa M. A. van Lierop, Sanjay K. Murthy, David T. Rubin, Talat Bessissow, Irıs D. Nagtegaal, Willem A. Bemelman, Lauranne Derikx, Frank Hoentjen

Bibliographic record

VenueJournal of Crohn s and Colitis · 2024
Typereview
Languageen
FieldMedicine
TopicColorectal Cancer Screening and Detection
Canadian institutionsOttawa HospitalUniversity of OttawaMcGill University Health CentreUniversity of Alberta
FundersTeva Pharmaceutical IndustriesGilead SciencesCelltrionSanofiAmgenPfizerEli Lilly and Company
KeywordsMedicineCurrent (fluid)Colorectal cancerInflammatory bowel diseaseIntensive care medicineInternal medicineGeneral surgeryCancerDisease

Abstract

fetched live from OpenAlex

Inflammatory bowel disease [IBD] patients are at increased risk of developing colorectal neoplasia [CRN]. In this review, we aim to provide an up-to-date overview and future perspectives on CRN management in IBD. Advances in endoscopic surveillance and resection techniques have resulted in a shift towards endoscopic management of neoplastic lesions in place of surgery. Endoscopic treatment is recommended for all CRN if complete resection is feasible. Standard [cold snare] polypectomy, endoscopic mucosal resection and endoscopic submucosal dissection should be performed depending on lesion complexity [size, delineation, morphology, surface architecture, submucosal fibrosis/invasion] to maximise the likelihood of complete resection. If complete resection is not feasible, surgical treatment options should be discussed by a multidisciplinary team. Whereas [sub]total and proctocolectomy play an important role in management of endoscopically unresectable CRN, partial colectomy may be considered in a subgroup of patients in endoscopic remission with limited disease extent without other CRN risk factors. High synchronous and metachronous CRN rates warrant careful mucosal visualisation with shortened intervals for at least 5 years after treatment of CRN.

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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.982
Threshold uncertainty score0.552

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.015
GPT teacher head0.329
Teacher spread0.314 · 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 designOther design
Domainnot available
GenreReview

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

Citations12
Published2024
Admission routes1
Has abstractyes

Explore more

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