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S210 Risk of Perforation in Patients With Colorectal Cancer and Metallic Stents Who Received Bevacizumab Compared to Stent Alone or Non-Bevacizumab Chemotherapy: A Systematic Review and Meta-Analysis

2023· review· en· W4387734308 on OpenAlexaboutno aff
Kyaw Min Tun, Banreet Dhindsa, Smit Deliwala, Syed Mohsin Saghir, Daryl Ramai, Amaninder Dhaliwal, Ishfaq Bhat, Douglas G. Adler

Bibliographic record

VenueThe American Journal of Gastroenterology · 2023
Typereview
Languageen
FieldMedicine
TopicColorectal Cancer Treatments and Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineBevacizumabPerforationColorectal cancerSurgeryInternal medicineCohortRegimenCohort studyRetrospective cohort studyGastrointestinal perforationStentConfidence intervalOncologyChemotherapyCancer

Abstract

fetched live from OpenAlex

Introduction: Bevacizumab (BV) is a monoclonal antibody against vascular endothelial growth factor and is used to treat metastatic colorectal cancer (CRC). Although BV is an effective therapy for CRC and is generally well-tolerated, it can be associated with severe complications such as bowel perforation, gastrointestinal bleeding, or thromboembolism. Self-expanding metallic stents (SEMS) are used in obstructive CRC for palliative or preoperative purposes. There is a paucity of published literature on whether the risk of perforation is increased when chemotherapy - BV-based regimen in particular - is administered to patients with SEMS placement. We performed a systematic review and meta-analysis to determine whether BV-based chemotherapy is associated with higher risk of perforation in patients with SEMS. Methods: A comprehensive literature search was performed from major databases from inception to May 2023. The primary outcome assessed was the risk of perforation in BV+SEMS patients. The secondary outcomes assessed were the risk of bleeding in SEMS patients and non-BV+SEMS patients compared to BV+SEMS cohort. Pooled estimates were calculated using a random-effects model with 95% confidence interval (CI). The statistical analysis was performed by using CMA v 3.0 software (BioStat, Englewood, NJ). Results: There were 11 studies included, with BV+SEMS, SEMS only, and non-BV+SEMS therapies given in 293, 215, and 101 patients respectively. There were 9 retrospective cohort studies, 1 prospective cohort study, and 1 randomized controlled trial. Four studies were conducted in the US, 1 in Korean, and 2 each in Italy, Spain, and Canada. The mean age was 66.69±7.42 years. About 87.20% of patients had SEMS placed in the left colon, 4.89% in the transverse colon, and 7.93% in the right colon. The overall pooled rate of perforation in patients who received BV+SEMS was 18% (95% CI: 10.2%, 29.7%; P = 0.00; I2 = 64) (Figure 1). The risk ratios for developing perforation in BV+SEMS group was 1.56 (95% CI: 0.70, 3.47; P = 0.28; I2 = 0) when compared to SEMS alone group and was 3.52 (95% CI: 0.79, 15.62; P = 0.1; I2 = 42.5) when compared to non-BV+SEMS group. Conclusion: BV appears to increase perforation in CRC patients with SEMS, and is associated with a higher risk of perforation than those who received SEMS alone or SEMS + non-BV chemotherapy. Further randomized controlled trials and comparative analyses are needed to validate the findings of our study.Figure 1.: Forest plot for the pooled rate of perforation in patients who received bevacizumab and metallic stent for obstructive metastatic colorectal cancer.

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)0.006
metaresearch head score (Gemma)0.020
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 score0.014
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.020
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0140.034
Bibliometrics0.0070.007
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.040
GPT teacher head0.331
Teacher spread0.291 · 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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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