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Parenteral anticoagulation in patients with cancer who have no therapeutic or prophylactic indication for anticoagulation

2011· review· en· W2103969621 on OpenAlexaff
Elie A. Akl, Sameer Gunukula, Maddalena Barba, Victor E D Yosuico, Frederiek F van Doormaal, Saskia Kuipers, Saskia Middeldorp, Heather O Dickinson, Andrew Bryant, Holger J. Schünemann

Bibliographic record

VenueCochrane Database of Systematic Reviews · 2011
Typereview
Languageen
Field
Topic
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineRandomized controlled trialMEDLINEHeparinMeta-analysisRelative riskLow molecular weight heparinInternal medicineCancerAntithromboticIntensive care medicineConfidence interval

Abstract

fetched live from OpenAlex

BACKGROUND: Anticoagulation may improve survival in patients with cancer through an antitumor effect in addition to the perceived antithrombotic effect. OBJECTIVES: To evaluate the efficacy and safety of parenteral anticoagulants in patients with cancer with no therapeutic or prophylactic indication for anticoagulation. SEARCH STRATEGY: A comprehensive search included (1) an electronic search (February 2010) of the following databases: Cochrane Central Register of Controlled Trials (CENTRAL) Issue 1, 2010, MEDLINE, EMBASE and ISI the Web of Science; (2) handsearch of conference proceedings; (3) checking of references of included studies; and (4) use of the 'related citation' feature in PubMed. SELECTION CRITERIA: Randomized controlled trials (RCTs) assessing the benefits and harms of parenteral anticoagulation in patients with cancer but no therapeutic or prophylactic indication for anticoagulation. DATA COLLECTION AND ANALYSIS: Using a standardized form we extracted in duplicate data on methodological quality, participants, interventions and outcomes of interest including all-cause mortality, symptomatic thromboembolism, major bleeding, minor bleeding and quality of life (QoL). MAIN RESULTS: Of 8187 identified citations, nine RCTs enrolling 2857 patients fulfilled the inclusion criteria. In all included RCTs the intervention consisted of heparin (either unfractionated heparin or low molecular weight heparin). Overall, the effect of heparin therapy on mortality was not statistically significant at 12 months (risk ratio (RR) 0.93; 95% CI 0.85 to 1.02) but it was statistically significant at 24 months (RR 0.92; 95% CI 0.88 to 0.97). Heparin therapy was associated with a statistically and clinically important reduction in venous thromboembolism (RR 0.55; 95% CI 0.37 to 0.82). There were no statistically significant effects on major bleeding (RR 1.30; 95% CI 0.59 to 2.88), minor bleeding (RR 1.05; 95% 0.75 to 1.46) or QoL. The quality of evidence was high for symptomatic venous thromboembolism, moderate for mortality, major bleeding and minor bleeding, and low for QoL. AUTHORS' CONCLUSIONS: Heparin was associated with a significant reduction of death at 24 months but not 12 months. It was also associated with a reduction in venous thromboembolism but based on the RCTs in this review it had no significant effect on major bleeding, minor bleeding or QoL. Future research should further investigate the survival benefit of different types of anticoagulants in patients with different types and stages of cancer. The decision for a patient with cancer to start heparin therapy for survival benefit should balance the benefits and downsides and integrate the patient's values and preferences.

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)0.009
metaresearch head score (Gemma)0.051
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.009
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.051
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0080.005
Bibliometrics0.0050.006
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0040.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.163
GPT teacher head0.399
Teacher spread0.236 · 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 designSystematic review
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

Citations118
Published2011
Admission routes1
Has abstractyes

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