Evidence map›Paper›PMID 40241146›Full record

ReviewThrombosis journal2025

Cancer-associated venous thromboembolism: a comprehensive review.

Tingting Wan, Jia Song, Dapeng Zhu

Abstract readReview
In one paragraph

Review in Thrombosis journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Rivaroxaban versus Low Molecular Weight Heparin for Cancer-Associated Venous Thromboembolism: A Systematic Review and Meta-Analysis.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
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  20. Emerging Insights of Management of Venous Thromboembolism in Patients With Cancer.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Tingting WanDepartment of Internal Medicine, Zhejiang Cancer Hospital, Hangzhou, 310022, China.
Jia SongDepartment of Internal Medicine, Zhejiang Cancer Hospital, Hangzhou, 310022, China.
Dapeng ZhuDepartment of Internal Medicine, Zhejiang Cancer Hospital, Hangzhou, 310022, China. 9901321@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It has been 200 years since the first case of cancer-associated thrombosis (CAT) was reported. Venous thromboembolism (VTE) remains a leading cause of morbidity and mortality in cancer patients. Malignant tumors interact with the coagulation system in complex ways. CAT continues to pose a significant challenge in clinical practice. The risk factors for CAT are complex and multifactorial, primarily including patient, cancer, and therapy-related factors. We have introduced assessment models for CAT and bleeding risk, but the performance of these models has been less than satisfactory. Currently, the main anticoagulant drugs for treating CAT include vitamin K antagonists (VKAs), low molecular weight heparin (LMWH), and direct oral anticoagulants (DOACs). We have provided a detailed overview of the advantages and disadvantages of these three types of drugs and suggestions on choosing the appropriate type of medication for different clinical scenarios. CAT incidence, pathophysiology, risk factors, risk prediction models, and recent advancements in treatment and management are summarized in this review.

Indexed as

AnticoagulationCancerCancer-associated thrombosisTreatmentVenous thromboembolism

Identifiers

PMID40241146
PMCPMC12001707

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.