Evidence map›Paper›PMID 41377299›Full record

ReviewAnnals of medicine and surgery (2012)2025

Venous thromboembolism in ovarian cancer: pathophysiology, risk, and management.

Emmanuel Ifeanyi Obeagu

Abstract readReview
In one paragraph

Review in Annals of medicine and surgery (2012), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. Review
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

1 author.

Emmanuel Ifeanyi ObeaguDepartment of Biomedical and Laboratory Science, Africa University, Mutare, Zimbabwe.ORCID https://orcid.org/0000-0002-4538-0161

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Venous thromboembolism (VTE), which includes deep vein thrombosis and pulmonary embolism, is a common and potentially severe complication associated with ovarian cancer. This cancer, typically identified at a later stage, produces a hypercoagulable setting due to both inherent tumor characteristics and external treatment-induced influences. The interaction of pro-inflammatory cytokines, the expression of tissue factor (TF), activation of platelets, and mechanical obstruction of veins leads to a significant occurrence of thrombotic events. These occurrences not only deteriorate outcomes but also complicate treatment choices and elevate the strain on healthcare systems. Various risk factors lead to the increased VTE risk in ovarian cancer patients, such as significant tumor burden, cytoreductive surgery, chemotherapy, lack of mobility, and associated health issues like obesity or a history of thrombosis. The clinical signs of VTE may be subtle and nonspecific, necessitating a high level of clinical suspicion and careful application of imaging techniques for prompt diagnosis. Laboratory indicators like D-dimer and platelet count can provide helpful information but do not have specificity in patients with cancer. The recurrence rate of VTE in ovarian cancer is elevated, and its manifestation correlates with markedly lower overall survival. Management approaches emphasize prevention, prompt identification, and ongoing anticoagulant therapy. Low-molecular-weight heparins continue to be the standard treatment for numerous patients, while direct oral anticoagulants are becoming more popular because of their convenience and similar effectiveness. Thromboprophylaxis is especially important in the perioperative environment and throughout hospitalization.

Indexed as

cancer-associated thrombosishypercoagulabilityovarian cancerthromboprophylaxisvenous thromboembolism

Identifiers

PMID41377299
PMCPMC12688750

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Registered trials

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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.