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Record W4389247232 · doi:10.1182/blood-2023-179689

Efficacy and Safety of Extended Duration Postoperative Thromboprophylaxis with Low-Molecular-Weight-Heparin Among Subgroups of Patients Undergoing Surgical Resection of Colorectal Cancer: A Post-Hoc Analysis of the Periop-01 Trial

2023· article· en· W4389247232 on OpenAlexaff
Laura Girardi, Rebecca C. Auer, Ranjeeta Mallick, Tzu‐Fei Wang, Marc Carrier

Bibliographic record

VenueBlood · 2023
Typearticle
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsMedicineColorectal cancerPerioperativeHazard ratioSurgeryPopulationRandomized controlled trialColorectal surgeryLow molecular weight heparinSubgroup analysisPost-hoc analysisCancerAbdominal surgeryConfidence intervalInternal medicineHeparin

Abstract

fetched live from OpenAlex

Background: Clinical practice guidelines suggest the use of extended duration of postoperative thromboprophylaxis to prevent venous thromboembolic (VTE) complications after any cancer-related major abdominal or pelvic surgeries. However, recent trials including patients undergoing surgical resection of colorectal cancer have reported relatively low rates of symptomatic VTE. Hence, the risk and benefits of extended postoperative thromboprophylaxis need to be carefully assessed in this patient population. We sought to determine the impact of extended duration thromboprophylaxis with low-molecular-weight-heparin on VTE and bleeding events among different subgroups of patients undergoing surgical resection of localized colorectal cancer. Methods: This is a pre-planned post-hoc analysis of the PERIOP-01 randomized controlled trial which compared extended (up to 6 weeks) to standard duration (in hospital only) of perioperative thromboprophylaxis with tinzaparin (4500 IU SC daily) in patients undergoing surgical resection of localized colorectal cancer. Subgroup analyses were performed based on different baseline characteristics. The primary efficacy and safety outcomes were objectively documented major VTE and combination of major bleeding (MB) and clinically relevant non-major bleeding (CRNMB) events, respectively. Hazard ratios (HR) with 95% confidence intervals (CI) were calculated using the Cox proportional hazards model to compare the treatment effect accounting for clustering at study center level. Results: A total of 614 patients were randomized in the PERIOP-01 trial (307 in the extended and 307 in the standard duration thromboprophylaxis groups). Overall, the mean age of the participants was 61 years, 41% of them were women, and most patients were white (90%). Type of primary cancer was well-balanced with 311 patients having rectal cancer (51%), whereas 303 (49%) had primary colon cancer. During the study period, major VTE events occurred in 2% and 1% of the extended- and standard-duration prophylaxis groups, respectively (P=0.8). Combination of MB and CRNMB events occurred in 3% of each group. No specific characteristics were found to be associated with a decreased risk of major VTE among patients on extended duration thromboprophylaxis (Figure 1). Patients with colon cancer resection receiving extended thromboprophylaxis were at an increased risk of bleeding complication compared to patients with rectal cancer (HR 2.57, 95%CI 1.25-5.3) (Figure 1). Other characteristics that may be associated with an increased risk of bleeding among patient on extended thromboprophylaxis included age >= 75 (HR 2.37, 95%CI 0.47-11.98) and male sex (HR 2.13, 95%CI 0.2-23.17), although these characteristics were not statistically significant. Conclusions: In the PERIOP-01 trial, extended thromboprophylaxis didn't reduce the risk of major VTE in any subgroups of patients. On the other hand, extended duration of thromboprophylaxis may be associated with an increased bleeding risk among male, elderly patients, and those with colon 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)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.007
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0040.007
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.003
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 head0.006
GPT teacher head0.245
Teacher spread0.239 · 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 designObservational
Domainnot available
GenreEmpirical

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
Published2023
Admission routes1
Has abstractyes

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