Evidence map›Paper›PMID 40895256›Full record

ArticleBleeding, thrombosis and vascular biology2024

Trends and Updates on the Epidemiology of Cancer Associated Thrombosis: A Systematic Review.

Ang Li, Emily Zhou

Abstract read
In one paragraph

Article in Bleeding, thrombosis and vascular biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

2 authors.

Ang LiSection of Hematology-Oncology, Department of Medicine, Baylor College of Medicine, Houston, TX.
Emily ZhouMcGovern Medical School, University of Texas Health Science Center, Houston, TX.

Funding

AIM-AHEAD Coordinating Center - All Four CoresOT2OD032581 · OD · UNIVERSITY OF NORTH TEXAS HLTH SCI CTR · PI Paul Avillach, Bettina M. Beech · 2021 to 2026
$168.7M
Epidemiology and Biomarkers in Transplant Associated Thrombotic Microangiopathy (TA-TMA): A Prospective Validation Cohort StudyK23HL159271 · NHLBI · BAYLOR COLLEGE OF MEDICINE · PI Ang Li · 2022 to 2026
$835k
NHLBI NIH HHS K23 HL159271NIH HHS OT2 OD032581
6 · The paper itself

Abstract

Introduction: Cancer associated thrombosis (CAT) is a significant complication for patients with cancer. This review summarizes an updated epidemiology of CAT in the past decade. Methods: A systematic review was conducted on relevant population cohort studies published 2011-2024. Results: The 12-month incidence of CAT among patients with unselected cancers is approximately 3-5% (9-fold increase vs. matched non-cancer population); although the risk increases to 6-8% in patients with advanced cancers requiring systemic therapy (20-fold increase vs. matched non-cancer population). Despite improvement in anticoagulation usage and adherence, recurrence risk remains high at 5-8% at 6 months and 7-15% at 12 months. Important clinical predictors of CAT development are cancer type, cancer stage, cancer treatment, prior venous thromboembolism (VTE) history, prolonged hospitalization or immobilization, and obesity. Several clinical risk prediction scores for CAT utilizing the initial Khorana score backbone have been externally validated, and the modified Vienna-CATS (Pabinger 2018) and EHR-CAT (Li 2023) have the highest performance (Area Under the Curve 0.68-0.71), though more studies are needed to ensure adequate implementation and usage of these models. Conclusion: CAT remains a significant complication for patients with cancer even with modern antineoplastic therapies. We encourage multidisciplinary collaborations between hematologists, oncologists, epidemiologists, and data scientists to ensure the adoption of personalized VTE risk assessment in routine oncologic care.

Indexed as

EpidemiologyIncidenceNeoplasmsThromboembolismThrombosis

Identifiers

PMID40895256
PMCPMC12393071

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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.