Evidence map›Paper›PMID 42717522›Full record

ArticleClinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis

Early Prophylactic-Dose Thromboprophylaxis and 30-Day Mortality in Solid Tumor Patients Hospitalized for COVID-19: A Multicenter Retrospective Cohort Study.

Linlin Yang, Jie Chen, Yanfang Zhang, Xiaoting Wang, Ziqi Ye

Abstract readMulticenter Study
In one paragraph

Article in Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Linlin YangDepartment of Pharmacy, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China.
Jie ChenDepartment of Pharmacy, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Yanfang ZhangDepartment of Clinical Pharmacy, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Xiaoting WangDepartment of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Ziqi YeDepartment of Clinical Pharmacy, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0000-0002-5075-3022

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ObjectivePatients with solid tumors are at increased risk of venous thromboembolism (VTE), and COVID-19 infection may further enhance thrombotic risk. Although prophylactic-dose thromboprophylaxis is recommended for hospitalized patients with COVID-19 when bleeding risk is acceptable, its clinical impact among patients with solid tumors remains uncertain.MethodsWe conducted a multicenter retrospective cohort study across three tertiary hospitals in China from December 2022 to January 2023. Adult patients with solid tumors hospitalized for laboratory-confirmed COVID-19 were included. Patients receiving prophylactic-dose thromboprophylaxis within 24 hours of admission were classified as the early cohort, whereas those initiating prophylaxis after 24 hours or receiving no prophylaxis were classified as the non-early cohort. The primary outcome was 30-day mortality. Secondary outcomes included thrombotic events, bleeding events, and 60-day mortality. Multivariable Cox regression, inverse probability of treatment weighting (IPTW) analyses, multiple imputation, and sensitivity analyses were performed.ResultsAmong 431 patients, 86 were classified into the early cohort and 345 into the non-early cohort. Early prophylactic-dose thromboprophylaxis was not significantly associated with 30-day mortality (adjusted HR=1.468, 95% CI 0.840-2.567, P=0.173) or 60-day mortality (adjusted HR=1.386, 95% CI 0.798-2.408, P=0.241). IPTW-adjusted analyses and sensitivity analyses yielded consistent results. No significant associations were observed between early thromboprophylaxis and thrombotic or bleeding events.ConclusionsIn this multicenter cohort of patients with solid tumors hospitalized for COVID-19, early prophylactic-dose thromboprophylaxis was not clearly associated with improved 30-day or 60-day mortality. Further prospective studies are needed to identify patients who may benefit from optimized thromboprophylaxis strategies.

Indexed as

AnticoagulantsCOVID-19NeoplasmsSARS-CoV-2Venous ThromboembolismAdultAgedChinaFemaleHospitalizationHumansMaleMiddle AgedRetrospective StudiesAnticoagulants30-day mortalityCOVID-19early thromboprophylaxissolid tumorwithin 24 hours of admission

Identifiers

PMID42717522
PMCPMC13562845

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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.