Skip to main content
Top
Published in: BMC Cancer 1/2024

Open Access 01-12-2024 | Venous Thrombosis | Research

Developing a risk assessment tool for cancer-related venous thrombosis in China: a modified Delphi-analytic hierarchy process study

Authors: Xiaoli Qin, Xiurong Gao, Yujie Yang, Shunlong Ou, Jing Luo, Hua Wei, Qian Jiang

Published in: BMC Cancer | Issue 1/2024

Login to get access

Abstract

Objective

To develop a Risk Assessment Tool for Cancer-related Venous Thrombosis in China.

Methods

A modified two-round Delphi method was employed to establish consensus within a field to reach an agreement via a questionnaire or by interviewing a multidisciplinary panel of experts by collecting their feedback to inform the next round, exchanging their knowledge, experience, and opinions anonymously, and resolving uncertainties. Furthermore, The AHP (Analytic Hierarchy Process) was used to determine the final quality indicators’ relative importance.

Results

The expert’s positive coefficient was 85.19% in the first round and 82.61% in the second round, with authoritative coefficients of 0.89 and 0.92 in the respective surveys. The P-value of Kendall’s W test was all less than 0.001 for each round, and the W-value for concordance at the end of the two rounds was 0.115. The final Risk Assessment Tool for Cancer-related Venous Thrombosis consisted of three domains, ten subdomains, and 39 indicators, with patient factors weighing 0.1976, disease factors weighing 0.4905, and therapeutic factors weighing 0.3119.

Conclusion

The tool is significantly valid and reliable with a strong authority and coordination degree, and it can be used to assess the risk of cancer-related VTE and initiate appropriate thrombophylactic interventions in China.
Literature
1.
go back to reference Li XY, Fan J, Cheng YQ, et al. Incidence and prevention of venous thromboembolism in acutely ill hospitalized elderly Chinese. Chin Med J (Engl). 2011;124(3):335–40.PubMed Li XY, Fan J, Cheng YQ, et al. Incidence and prevention of venous thromboembolism in acutely ill hospitalized elderly Chinese. Chin Med J (Engl). 2011;124(3):335–40.PubMed
2.
go back to reference Khorana AA, Francis CW, Culakova E, et al. Thromboembolism is a leading cause of death in cancer patients receiving outpatient chemotherapy. J Thromb Haemost. 2007;5(3):632–4.CrossRefPubMed Khorana AA, Francis CW, Culakova E, et al. Thromboembolism is a leading cause of death in cancer patients receiving outpatient chemotherapy. J Thromb Haemost. 2007;5(3):632–4.CrossRefPubMed
3.
go back to reference Ay C, Pabinger I, Cohen AT. Cancer-associated venous thromboembolism: Burden, mechanisms, and management. Thromb Haemost. 2017;117(2):219–30.CrossRefPubMed Ay C, Pabinger I, Cohen AT. Cancer-associated venous thromboembolism: Burden, mechanisms, and management. Thromb Haemost. 2017;117(2):219–30.CrossRefPubMed
4.
go back to reference Kearon C, Akl EA, Comerota AJ, et al. Antithrombotic therapy for VTE disease: Antithrombotic therapy and prevention of thrombosis, 9th ed: American College of Chest Physicians evidence-based clinical practice Guidelines. Chest. 2012;141(2 Suppl):e419S–96.CrossRefPubMedPubMedCentral Kearon C, Akl EA, Comerota AJ, et al. Antithrombotic therapy for VTE disease: Antithrombotic therapy and prevention of thrombosis, 9th ed: American College of Chest Physicians evidence-based clinical practice Guidelines. Chest. 2012;141(2 Suppl):e419S–96.CrossRefPubMedPubMedCentral
5.
go back to reference Khorana AA, Kuderer NM, Culakova E, et al. Development and validation of a predictive model for chemotherapy-associated thrombosis. Blood. 2008;111(10):4902–7.CrossRefPubMedPubMedCentral Khorana AA, Kuderer NM, Culakova E, et al. Development and validation of a predictive model for chemotherapy-associated thrombosis. Blood. 2008;111(10):4902–7.CrossRefPubMedPubMedCentral
6.
go back to reference Ay C, Dunkler D, Marosi C, et al. Prediction of venous thromboembolism in cancer patients. Blood. 2010;116(24):5377–82.CrossRefPubMed Ay C, Dunkler D, Marosi C, et al. Prediction of venous thromboembolism in cancer patients. Blood. 2010;116(24):5377–82.CrossRefPubMed
7.
go back to reference Verso M, Agnelli G, Barni S, et al. A modified Khorana risk assessment score for venous thromboembolism in cancer patients receiving chemotherapy: the Protecht score. Intern Emerg Med. 2012;7(3):291–2.CrossRefPubMed Verso M, Agnelli G, Barni S, et al. A modified Khorana risk assessment score for venous thromboembolism in cancer patients receiving chemotherapy: the Protecht score. Intern Emerg Med. 2012;7(3):291–2.CrossRefPubMed
8.
go back to reference Angelini DE, Greene MT, Wietzke JN et al. A novel risk assessment model to predict venous thromboembolism (VTE) in cancer inpatients: the canclot score. Blood. 2016;128(22). Angelini DE, Greene MT, Wietzke JN et al. A novel risk assessment model to predict venous thromboembolism (VTE) in cancer inpatients: the canclot score. Blood. 2016;128(22).
9.
go back to reference Antic D, Milic N, Nikolovski S, et al. Development and validation of multivariable predictive model for thromboembolic events in lymphoma patients. Am J Hematol. 2016;91(10):1014–9.CrossRefPubMed Antic D, Milic N, Nikolovski S, et al. Development and validation of multivariable predictive model for thromboembolic events in lymphoma patients. Am J Hematol. 2016;91(10):1014–9.CrossRefPubMed
10.
go back to reference Cella CA, Di Minno G, Carlomagno C, et al. Preventing venous thromboembolism in ambulatory cancer patients: the ONKOTEV study. Oncologist. 2017;22(5):601–8.CrossRefPubMedPubMedCentral Cella CA, Di Minno G, Carlomagno C, et al. Preventing venous thromboembolism in ambulatory cancer patients: the ONKOTEV study. Oncologist. 2017;22(5):601–8.CrossRefPubMedPubMedCentral
11.
go back to reference Gerotziafas GT, Taher A, Abdel-Razeq H, et al. A predictive score for thrombosis associated with breast, colorectal, lung, or ovarian cancer: the prospective COMPASS-cancer-associated thrombosis study. Oncologist. 2017;22(10):1222–31.CrossRefPubMedPubMedCentral Gerotziafas GT, Taher A, Abdel-Razeq H, et al. A predictive score for thrombosis associated with breast, colorectal, lung, or ovarian cancer: the prospective COMPASS-cancer-associated thrombosis study. Oncologist. 2017;22(10):1222–31.CrossRefPubMedPubMedCentral
12.
go back to reference Munoz MA, Ortega I, Font C, et al. Multivariable clinical-genetic risk model for predicting venous thromboembolic events in patients with cancer cancer. Br J Cancer. 2018;118(8):1056–61.CrossRef Munoz MA, Ortega I, Font C, et al. Multivariable clinical-genetic risk model for predicting venous thromboembolic events in patients with cancer cancer. Br J Cancer. 2018;118(8):1056–61.CrossRef
13.
go back to reference Pabinger I, van Es N, Heinze G, et al. A clinical prediction model for cancer-associated venous thromboembolism: a development and validation study in two independent prospective cohorts. Lancet Haematol. 2018;5(7):e289–98.CrossRefPubMedPubMedCentral Pabinger I, van Es N, Heinze G, et al. A clinical prediction model for cancer-associated venous thromboembolism: a development and validation study in two independent prospective cohorts. Lancet Haematol. 2018;5(7):e289–98.CrossRefPubMedPubMedCentral
14.
go back to reference Rojas-Hernandez CM, Tang VK, Sanchez-Petitto G, et al. Development of a clinical prediction tool for cancer-associated venous thromboembolism (CAT): the MD Anderson Cancer Center CAT model. Support Care Cancer. 2020;28(8):3755–61.CrossRefPubMed Rojas-Hernandez CM, Tang VK, Sanchez-Petitto G, et al. Development of a clinical prediction tool for cancer-associated venous thromboembolism (CAT): the MD Anderson Cancer Center CAT model. Support Care Cancer. 2020;28(8):3755–61.CrossRefPubMed
15.
go back to reference Li A, Wu Q, Luo S, et al. Derivation and validation of a risk assessment model for immunomodulatory drug-associated thrombosis among patients with multiple myeloma. J Natl Compr Canc Netw. 2019;17(7):840–7.CrossRefPubMedPubMedCentral Li A, Wu Q, Luo S, et al. Derivation and validation of a risk assessment model for immunomodulatory drug-associated thrombosis among patients with multiple myeloma. J Natl Compr Canc Netw. 2019;17(7):840–7.CrossRefPubMedPubMedCentral
16.
go back to reference Sanfilippo KM, Luo S, Wang TF, et al. Predicting venous thromboembolism in multiple myeloma: development and validation of the IMPEDE VTE score. Am J Hematol. 2019;94(11):1176–84.CrossRefPubMedPubMedCentral Sanfilippo KM, Luo S, Wang TF, et al. Predicting venous thromboembolism in multiple myeloma: development and validation of the IMPEDE VTE score. Am J Hematol. 2019;94(11):1176–84.CrossRefPubMedPubMedCentral
17.
go back to reference Li Y, Shen L, Ding J, et al. Derivation and validation of a nomogram model for pulmonary thromboembolism in patients undergoing lung cancer surgery. Transl Lung Cancer Res. 2021;10(4):1829–40.CrossRefPubMedPubMedCentral Li Y, Shen L, Ding J, et al. Derivation and validation of a nomogram model for pulmonary thromboembolism in patients undergoing lung cancer surgery. Transl Lung Cancer Res. 2021;10(4):1829–40.CrossRefPubMedPubMedCentral
18.
go back to reference Bastos-Oreiro M, Ortiz J, Pradillo V, et al. Incorporating genetic and clinical data into the prediction of thromboembolism risk in patients with lymphoma. Cancer Med. 2021;10(21):7585–92.CrossRefPubMedPubMedCentral Bastos-Oreiro M, Ortiz J, Pradillo V, et al. Incorporating genetic and clinical data into the prediction of thromboembolism risk in patients with lymphoma. Cancer Med. 2021;10(21):7585–92.CrossRefPubMedPubMedCentral
19.
go back to reference Zhang M, Liu M, Wang D, et al. Development of a risk assessment scale for perinatal venous thromboembolism in Chinese women using a Delphi-AHP approach. BMC Pregnancy Childbirth. 2022;22(1):426.CrossRefPubMedPubMedCentral Zhang M, Liu M, Wang D, et al. Development of a risk assessment scale for perinatal venous thromboembolism in Chinese women using a Delphi-AHP approach. BMC Pregnancy Childbirth. 2022;22(1):426.CrossRefPubMedPubMedCentral
20.
go back to reference Jiang F, Liu T, Zhou H, et al. Developing medical record-based, healthcare quality indicators for psychiatric hospitals in China: a modified Delphi-analytic hierarchy process study. Int J Qual Health Care. 2019;31(10):733–40.PubMed Jiang F, Liu T, Zhou H, et al. Developing medical record-based, healthcare quality indicators for psychiatric hospitals in China: a modified Delphi-analytic hierarchy process study. Int J Qual Health Care. 2019;31(10):733–40.PubMed
21.
go back to reference Jiang Q, Zeng W, Yu J, et al. Development of the first value assessment index system for off-label use of antineoplastic agents in China: a Delphi study. Front Pharmacol. 2020;11:771.CrossRefPubMedPubMedCentral Jiang Q, Zeng W, Yu J, et al. Development of the first value assessment index system for off-label use of antineoplastic agents in China: a Delphi study. Front Pharmacol. 2020;11:771.CrossRefPubMedPubMedCentral
Metadata
Title
Developing a risk assessment tool for cancer-related venous thrombosis in China: a modified Delphi-analytic hierarchy process study
Authors
Xiaoli Qin
Xiurong Gao
Yujie Yang
Shunlong Ou
Jing Luo
Hua Wei
Qian Jiang
Publication date
01-12-2024
Publisher
BioMed Central
Published in
BMC Cancer / Issue 1/2024
Electronic ISSN: 1471-2407
DOI
https://doi.org/10.1186/s12885-024-11877-8

Other articles of this Issue 1/2024

BMC Cancer 1/2024 Go to the issue
Webinar | 19-02-2024 | 17:30 (CET)

Keynote webinar | Spotlight on antibody–drug conjugates in cancer

Antibody–drug conjugates (ADCs) are novel agents that have shown promise across multiple tumor types. Explore the current landscape of ADCs in breast and lung cancer with our experts, and gain insights into the mechanism of action, key clinical trials data, existing challenges, and future directions.

Dr. Véronique Diéras
Prof. Fabrice Barlesi
Developed by: Springer Medicine