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Prognostic Value of the Cutoffs for HALP in Endometrial Cancer

Using preoperative hemoglobin, albumin, lymphocyte, and platelet (HALP) scores, a cutoff value of HALP in endometrial cancer was identified, and the significance of HALP value in endometrial cancer prognosis was evaluated to guide the management of patients. MATERIALS AND METHODS: This study include...

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Autores principales: Wang, Jinyu, Jiang, Peng, Huang, Yuzhen, Tu, Yuan, Zhou, Qian, Li, Ning, Kong, Wei, Yuan, Rui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9946170/
https://www.ncbi.nlm.nih.gov/pubmed/36700534
http://dx.doi.org/10.1097/COC.0000000000000977
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author Wang, Jinyu
Jiang, Peng
Huang, Yuzhen
Tu, Yuan
Zhou, Qian
Li, Ning
Kong, Wei
Yuan, Rui
author_facet Wang, Jinyu
Jiang, Peng
Huang, Yuzhen
Tu, Yuan
Zhou, Qian
Li, Ning
Kong, Wei
Yuan, Rui
author_sort Wang, Jinyu
collection PubMed
description Using preoperative hemoglobin, albumin, lymphocyte, and platelet (HALP) scores, a cutoff value of HALP in endometrial cancer was identified, and the significance of HALP value in endometrial cancer prognosis was evaluated to guide the management of patients. MATERIALS AND METHODS: This study included 626 patients with endometrial cancer who underwent surgery at the First Affiliated Hospital of Chongqing Medical University between June 2015 and June 2020. A Cox regression model was used to analyze the correlation between HALP endometrial cancer recurrence and death, and the receiver operating characteristic curve was used to determine the optimal cutoff value of HALP for predicting the lymph node metastasis (LNM), recurrence, and death of endometrial cancer. Survival analysis was performed using the Kaplan-Meier method and log-rank test. RESULTS: Univariate analysis revealed that HALP was associated with a lower risk of recurrence and death of endometrial cancer. Multivariate analysis indicated that HALP was an independent protective factor for predicting recurrence and death in endometrial cancer. The thresholds of HALP for predicting LNM, recurrence, and death in endometrial cancer patients are around 33.8. Kaplan-Meier survival curves showed that the recurrence-free and the overall survival rates were significantly lower in the low-HALP group than that in the high-HALP group (P<0.001). CONCLUSIONS: Preoperative HALP values in patients with endometrial cancer are important in predicting LNM, recurrence, and death of patients. HALP scores combined with traditional pathologic factors can better guide the prognostic management of patients.
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spelling pubmed-99461702023-02-23 Prognostic Value of the Cutoffs for HALP in Endometrial Cancer Wang, Jinyu Jiang, Peng Huang, Yuzhen Tu, Yuan Zhou, Qian Li, Ning Kong, Wei Yuan, Rui Am J Clin Oncol Original Articles: Gynecologic Using preoperative hemoglobin, albumin, lymphocyte, and platelet (HALP) scores, a cutoff value of HALP in endometrial cancer was identified, and the significance of HALP value in endometrial cancer prognosis was evaluated to guide the management of patients. MATERIALS AND METHODS: This study included 626 patients with endometrial cancer who underwent surgery at the First Affiliated Hospital of Chongqing Medical University between June 2015 and June 2020. A Cox regression model was used to analyze the correlation between HALP endometrial cancer recurrence and death, and the receiver operating characteristic curve was used to determine the optimal cutoff value of HALP for predicting the lymph node metastasis (LNM), recurrence, and death of endometrial cancer. Survival analysis was performed using the Kaplan-Meier method and log-rank test. RESULTS: Univariate analysis revealed that HALP was associated with a lower risk of recurrence and death of endometrial cancer. Multivariate analysis indicated that HALP was an independent protective factor for predicting recurrence and death in endometrial cancer. The thresholds of HALP for predicting LNM, recurrence, and death in endometrial cancer patients are around 33.8. Kaplan-Meier survival curves showed that the recurrence-free and the overall survival rates were significantly lower in the low-HALP group than that in the high-HALP group (P<0.001). CONCLUSIONS: Preoperative HALP values in patients with endometrial cancer are important in predicting LNM, recurrence, and death of patients. HALP scores combined with traditional pathologic factors can better guide the prognostic management of patients. Lippincott Williams & Wilkins 2023-03 2023-01-26 /pmc/articles/PMC9946170/ /pubmed/36700534 http://dx.doi.org/10.1097/COC.0000000000000977 Text en Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/)
spellingShingle Original Articles: Gynecologic
Wang, Jinyu
Jiang, Peng
Huang, Yuzhen
Tu, Yuan
Zhou, Qian
Li, Ning
Kong, Wei
Yuan, Rui
Prognostic Value of the Cutoffs for HALP in Endometrial Cancer
title Prognostic Value of the Cutoffs for HALP in Endometrial Cancer
title_full Prognostic Value of the Cutoffs for HALP in Endometrial Cancer
title_fullStr Prognostic Value of the Cutoffs for HALP in Endometrial Cancer
title_full_unstemmed Prognostic Value of the Cutoffs for HALP in Endometrial Cancer
title_short Prognostic Value of the Cutoffs for HALP in Endometrial Cancer
title_sort prognostic value of the cutoffs for halp in endometrial cancer
topic Original Articles: Gynecologic
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9946170/
https://www.ncbi.nlm.nih.gov/pubmed/36700534
http://dx.doi.org/10.1097/COC.0000000000000977
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