Evidence map›Paper›PMID 39633024›Full record

ArticleDiscover oncology2024

The impact of different treatments on thromboelastography and other conventional parameters in patients with colorectal cancer.

Wenqin Ren, Hao Chen, Yujie Huang, Jiaqian Zuo, Xinyan Shu, Peng Shu

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Article in Discover oncology, 2024. 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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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Wenqin Ren *Nanjing University of Chinese Medicine, Nanjing, 210029, Jiangsu, China.
Hao Chen *Department of Clinical Laboratory, Jiangsu Province Hospital of Chinese Medicine, The Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, Jiangsu, China.
Yujie HuangNanjing University of Chinese Medicine, Nanjing, 210029, Jiangsu, China.
Jiaqian ZuoNanjing University of Chinese Medicine, Nanjing, 210029, Jiangsu, China.
Xinyan ShuNanjing University of Chinese Medicine, Nanjing, 210029, Jiangsu, China.
Peng ShuDepartment of Oncology, Jiangsu Province Hospital of Chinese Medicine, The Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, Jiangsu, China. shupengnjucm@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo comprehend the effects of diverse therapeutic interventions on thromboelastography (TEG) and conventional coagulation parameters among individuals diagnosed with colorectal cancer, this study aims to explore the clinical relevance of both thromboelastography and conventional coagulation metrics in evaluating coagulation function and predicting the incidence of thrombotic and hemorrhagic events in patients with colorectal cancer.

methodsA cohort of 122 patients with colorectal cancer retrospectively recruited and divided into 2 groups: those undergoing surgical intervention (operation group) and those not subjected to surgery (non-operation group). According to the different types of treatment they received, the operation group was divided into chemotherapy-only group and a group receiving a combination of targeted therapy and chemotherapy. Blood samples were collected on admission and subjected to coagulation parameter assessment, including conventional coagulation tests and thromboelastography (TEG) assessment. Receiver operating characteristic (ROC) analysis was performed to predict the occurrence of complications in patients with colorectal cancer.

resultsCompared with the operation group, the non-operation group showed significant reductions in reaction time(R-time) and kinetics time (K-time), and significant elevation in angle, maximum amplitude (MA), fibrinogen and platelets. Patients receiving targeted therapy and chemotherapy had lower angle and maximum amplitude and higher R-time and K-time, activated partial thromboplastin time and fibrinogen. The area under the curve for TEG in patients without treatment was 0.802. The area under the curve for TEG and conventional coagulation parameters were 0.654 and 0.660 respectively.

conclusionDiverse treatments distinctly impact on the coagulation indicators of individuals diagnosed with colorectal cancer. The coagulation parameters observed in patients prior to operation suggest a hypercoagulable state. Nevertheless, following postoperative chemotherapy and targeted therapy, this hypercoagulable state demonstrates a notable improvement, occasionally leading to a propensity for hypocoagulation. The findings of this investigation underscore the unique clinical importance of thromboelastography (TEG) alongside traditional coagulation parameters, demonstrating that these diagnostic tools possess complementary value and cannot be substituted interchangeably.

Indexed as

ChemotherapyColorectal cancerConventional coagulation parametersTargeted therapyThromboelastography

Identifiers

PMID39633024
PMCPMC11618262

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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.