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Role of Extended Thromboprophylaxis after Abdominal and Pelvic Surgery in Cancer Patients: A Systematic Review and Meta-Analysis

2015· review· en· W2549252984 on OpenAlexaffabout
Andrei Fagarasanu, Ghazi Alotaibi, Ramona Hrimiuc, Agnes Lee, Cynthia Wu

Bibliographic record

VenueBlood · 2015
Typereview
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsUniversity of British ColumbiaBC Cancer AgencyUniversity of Alberta
Fundersnot available
KeywordsMedicinePulmonary embolismRandomized controlled trialSurgeryLow molecular weight heparinAbdominal surgeryDeep veinThrombosisObservational studyMeta-analysisRelative riskInternal medicineConfidence interval

Abstract

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Abstract Introduction Abdominal or pelvic surgery for cancer increases the risk of postoperative venous thromboembolism (VTE) by 2- to 3-fold. The use of low-molecular weight heparin (LMWH) to prevent post-operative thrombotic events is recommended in high VTE-risk patients; however, the role of extended thromboprophylaxis in this setting is controversial. We performed a systematic review and meta-analysis of randomized controlled trials (RCTs) and prospective observational studies to determine the effect of extended LMWH thromboprophylaxis on all VTE, deep vein thrombosis (DVT), pulmonary embolism (PE), major bleeding, and all-cause mortality after abdominal or pelvic surgery for cancer. Methods We searched MEDLINE, EMBASE, and Cochrane Central Register of Controlled Trials, conference abstracts, and trial registries with no language restriction. Studies were included if they compared extended duration (i.e., administration of prophylactic doses of LMWH for more than 2 weeks, up to 6 weeks) versus conventional duration of thromboprophylaxis (i.e., administration of LMWH for two weeks or less) after cancer surgery. Two reviewers independently performed study selection, data extraction, and quality assessment. Studies were evaluated according to a priori inclusion criteria and critically appraised using the Newcastle-Ottawa Quality Assessment Scale (NOQA). Pooled relative risk was estimated using a random effects model. Results Three RCTs and 4 observational studies were included, comprising 4807 adult patients who underwent open or laparoscopic abdominal or pelvic surgery for gastrointestinal, gynecological or urological cancers. The 3 RCTs employed screening for asymptomatic DVT using bilateral lower limb compression ultrasound or venography after 4 weeks of surgery. Most of studies were of good quality (NOQA higher or equal to 6). The extended thromboprophylaxis regimen was associated with a significantly reduced incidence of all VTE (2.6% [59/2292] vs 5.6% [124/2209]; RR=0.44 [95% CI 0.28-0.70]) and proximal DVT (1.4% [14/966] vs 2.8% [24/862]; RR=0.33 [95% CI 0.15-0.73]). No data were available for symptomatic DVT. There was no statistically significant difference in the incidence of symptomatic PE between the two groups (0.8% [8/966] vs 1.3% [11/862]; RR= 0.56 [95% CI 0.23-1.40]). We found no significant difference in major bleeding at 1.8% (14/787) in the extended thromboprophylaxis group vs 1.0% (7/713) in the short thromboprophylaxis group (RR=1.19 [95% CI 0.47-2.97]). There was no significant difference in all-cause mortality at 3 months (4.2% [30/720] vs 3.6% [23/643], respectively; RR= 0.79 [95% CI 0.47-1.33]). There was minor heterogeneity between the studies in all extracted outcomes. Conclusion Extended thromboprophylaxis with LMWH after abdominal or pelvic surgery for cancer significantly decreased the incidence of all VTE and proximal DVT, but had no impact on symptomatic PE, major bleeding or 3-month mortality. Table 1. Table 1. Disclosures Lee: Pfizer: Consultancy, Honoraria; LEO Pharma: Consultancy, Honoraria; BMS: Research Funding; Bayer: Consultancy. Wu:Leo Pharma: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Pfizer: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees.

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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)0.016
metaresearch head score (Gemma)0.037
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 score0.084

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.037
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0190.034
Bibliometrics0.0060.008
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0020.001
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 head0.046
GPT teacher head0.328
Teacher spread0.281 · 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
Published2015
Admission routes2
Has abstractyes

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