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Record W2914211159 · doi:10.1093/ecco-jcc/jjy222.747

P623 Colorectal cancer, colectomy rates and inflammatory bowel disease activity following liver transplantation in primary sclerosing cholangitis: a systematic review and meta-analysis

2019· review· en· W2914211159 on OpenAlexaff
Tom Thomas, Rachel Cooney, Tariq Iqbal, Subrata Ghosh, James Ferguson, Gideon M. Hirschfield, Palak Trivedi

Bibliographic record

VenueJournal of Crohn s and Colitis · 2019
Typereview
Languageen
FieldMedicine
TopicLiver Diseases and Immunity
Canadian institutionsToronto Liver CentreUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsMedicinePrimary sclerosing cholangitisInternal medicineColectomyIncidence (geometry)GastroenterologyLiver transplantationColorectal cancerInflammatory bowel diseaseMeta-analysisCancerTransplantationDisease

Abstract

fetched live from OpenAlex

Primary sclerosing cholangitis (PSC) is the classical hepatobiliary manifestation of inflammatory bowel disease (IBD) for which liver transplantation [LT] is the only curative therapy. We provide pooled incidence rates (IR) and time trends of (1) colorectal cancer (CRC), (2) colectomy, and (3) IBD activity post LT through systematic review and meta-analysis. A systematic literature search of Medline and Embase was undertaken to identify studies that met the research objectives from 1981 to 2014. Studies were assigned to one or more of the three analytical streams (as above). The ‘meta’ package (R Studio (V.1.1.463)) and Revman was used to pool IRs and HRs from individual studies using a random effects model. 42 studies were included in the systematic review. Twenty studies detailing the clinical course of 1994 patients (9874 patient-years) were pooled to assess the incidence of dysplasia or CRC (combined endpoint) and CRC only; IR 14.97 cases (95% CI 9.74–23.02) and 9.21(95% CI 6.01–14.09) per 1000 person-years, respectively. Heterogeneity was considerable (I2 = 86%). The incidence of post LT CRC was seen to be decreasing over time (Figure 1A). Time trends in the incidence of colorectal cancer and colectomy post LT in the PSC cohort. Colectomy following OLT was 23.18 per 1000 person-years (95% CI 16.74–32.08) (I2 = 84%).The IR for colectomy due to dysplasia/CRC was 11.25 cases per 1000 person-years (95% CI 6.43–19.68) and seen to be decreasing over time (Figure 1B). In contrast, worsening IBD activity necessitated colectomy in 13.26 cases per 1000 person-years (95% CI 9.95–17.66), with no change over time (Figure 1C). Nine studies reported clinical course of IBD post-LT according to endoscopy findings/escalation in IBD therapy. 27.6% of patients (n = 584) experienced worsening IBD activity post LT. The effect of 5-aminosalicylates (5ASA) on risk of CRC (2 studies), colectomy (one study), and IBD activity (two studies) could not be analysed due to study heterogeneity. The effect of ursodeoxycholic acid (UDCA) on the risk of CRC after LT was examined by three studies. Due to data availability, only two studies could be pooled. UDCA increased the risk of CRC post LT; HR 2.90 (95% CI 1.37–6.11). The impact of UDCA on colectomy and IBD activity post-LT were inconclusive. No study examined biologics in context of study objectives. This is the first comprehensive systematic review and meta-analysis of IBD-related outcomes post LT in the PSC cohort. The risk of CRC mandates colonoscopy surveillance, although incidence appears to be decreasing. Identifying factors affecting IBD course is of critical importance, given that IBD deterioration appears to be the principal indication for colectomy post LT.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.013
metaresearch head score (Gemma)0.026
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.016
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.026
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0160.044
Bibliometrics0.0080.011
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.043
GPT teacher head0.321
Teacher spread0.278 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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