Evidence map›Paper›PMID 41646621›Full record

ArticleCureus2026

Navigating Perioperative Anticoagulation Challenges in a Cancer Patient With Deep Vein Thrombosis: A Case Report.

Jacob George Binoy, Greeshma George, Dhanraj Parambeth, Faiz Abdul Rahman

Abstract readCase Reports
In one paragraph

Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Jacob George BinoyTrauma and Orthopaedics, Cumberland Infirmary, Carlisle, GBR.
Greeshma GeorgeTrauma and Orthopaedics, Cumberland Infirmary, Carlisle, GBR.
Dhanraj ParambethOrthogeriatrics, Cumberland Infirmary, Carlisle, GBR.
Faiz Abdul RahmanGeriatrics, Midland Metropolitan University Hospital, Birmingham, GBR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deep vein thrombosis (DVT) in cancer patients presents unique challenges, especially in the perioperative period, where anticoagulation must be carefully balanced to minimize both thrombotic and bleeding risks. This case highlights the complexity of managing DVT in an elderly patient with metastatic urothelial carcinoma of the bladder in the setting of a pathological femur fracture. An 80-year-old woman with metastatic urothelial carcinoma of the bladder presented with a pathological left femur fracture after trivial trauma. Multimodal imaging confirmed the fracture and incidentally revealed a right common femoral vein DVT along with disease progression, including early metastatic spread to the neural canal. Given the need for urgent surgery, full anticoagulation posed a bleeding risk, while withholding it increased the risk of embolism. To balance this, an inferior vena cava (IVC) filter was placed, and enoxaparin was initiated with a personalized perioperative regimen. Surgical fixation was delayed due to unforeseen circumstances, requiring further anticoagulation modifications. Postoperatively, wound concerns and hemoglobin drop necessitated transfusions and anticoagulation adjustments. Anemia workup identified low folate as one among many contributing factors, prompting supplementation. The patient was stabilized and transitioned to lifelong apixaban before discharge. This case underscores the complexities of anticoagulation in oncologic orthopedic patients, highlighting the individualized approach and real-time adjustments in anticoagulation management to balance thrombotic and bleeding risks, especially in light of unforeseen clinical developments.

Indexed as

anticoagulationcancer-associated thrombosisdeep vein thrombosispathological fractureperioperative anticoagulation

Identifiers

PMID41646621
PMCPMC12869826

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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.