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Thromboembolic Events, Recurrent Gastrointestinal Bleeding and Mortality after Resuming Anticoagulant Following Gastrointestinal Bleeding: A Systematic Review and Meta-Analysis

2014· review· en· W2583791366 on OpenAlexaff
Chatree Chai‐Adisaksopha, Christopher Hillis, Mark Crowther

Bibliographic record

VenueBlood · 2014
Typereview
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsSt. Joseph’s Healthcare HamiltonSt. Joseph's HospitalMcMaster University
Fundersnot available
KeywordsMedicineWarfarinGastrointestinal bleedingAnticoagulantInternal medicineCohort studySurgeryRandomized controlled trialLower gastrointestinal bleedingAtrial fibrillationColonoscopy

Abstract

fetched live from OpenAlex

IMPORTANCE: Gastrointestinal bleeding is one of the most common sites of bleeding complicated by anticoagulant therapy. Patients with anticoagulant-associated gastrointestinal (GI) bleeding are at risk of both thromboembolic events after anticoagulant interruption and recurrent bleeding following anticoagulant resumption. OBJECTIVE: To determine the risk of thromboembolism, recurrent GI bleeding and mortality for long-term anticoagulated patients who experienced GI bleeding. DATA SOURCES: We searched MEDLINE, EMBASE and CENTRAL from inception-July 2014, conferences abstracts (January 2006-July 2014) and www.clinicaltrials.gov up to the last week of January 2014 with no language restriction. STUDY SELECTION: Randomized controlled trials and cohort studies DATA EXTRACTION AND SYNTHESIS: Two reviewers independently performed study selection, data extraction and study quality assessment. MAIN OUTCOMES AND MEASURES: Selected outcomes were thromboembolic events, recurrent gastrointestinal bleeding and all-cause mortality. RESULTS: A total of 6 studies were included in the qualitative analysis and 2 studies in the quantitative analysis. Thromboembolic events occurred in 92 of 984 patients (9.34%) who resumed warfarin and in 147 of 895 (16.4%) patients who did not. The resumption of warfarin was associated with a significant reduction in thromboembolic event (HR 0.65 [95% CI, 0.54 to 0.78], p < 0.001, I2=90%) Recurrent GI bleeding occurred in 101 of 954 (10.59%) patients who restarted warfarin and in 40 of 895 (4.47%) patients who did not. There was no statistically significant increase in recurrent GI bleeding for patients who restarted warfarin compared to those who did not (HR 1.19 [95% CI, 0.95 to 1.48], p = 0.13, I2 = 0%). Death occurred in 203 of 984 (20.63%) patients who resumed warfarin and 316 of 896 (35.27%) patients who did not resume warfarin. Resumption of warfarin was associated with significant reduction in mortality (HR 0.64 [95% CI, 0.54 to 76], p <0.01, I2 = 75%). CONCLUSIONS AND RELEVANCE: This meta-analysis demonstrates that resumption of warfarin following interruption due to GI bleeding is associated with a reduction in thromboembolic events and mortality without a significantly increased risk of recurrent GI bleeding. Figure 1 Forrest plot of the estimate effect of thromboembolic event, recurrent gastrointestinal bleeding and mortality in patient who resumed anticoagulant versus patients who did no resume Figure 1. Forrest plot of the estimate effect of thromboembolic event, recurrent gastrointestinal bleeding and mortality in patient who resumed anticoagulant versus patients who did no resume Disclosures Crowther: Leo Pharma: Membership on an entity's Board of Directors or advisory committees, Research Funding; CSL Behring: Speakers Bureau; Boehriniger Ingelheim: Consultancy; Shire: Speakers Bureau; Celgene: Speakers Bureau; Bayer: Speakers Bureau; Asahi Kasai: Membership on an entity's Board of Directors or advisory committees; Portola: Membership on an entity's Board of Directors or advisory committees; Viropharma: Membership on an entity's Board of Directors or advisory committees.

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)0.017
metaresearch head score (Gemma)0.047
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.019
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.047
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0190.036
Bibliometrics0.0070.009
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0020.001
Research integrity0.0030.002
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 head0.143
GPT teacher head0.391
Teacher spread0.248 · 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

Citations1
Published2014
Admission routes1
Has abstractyes

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