Alkaline Phosphatase as Serum Tumor Marker in Osteosarcoma

Author:

Bhatti Zuhair,Kiran Khadija,Shoaib Muhammad,Nisa Seerat Un,Arif Ahmar

Abstract

Aim: To reassess the high specificity of alkaline phosphatase as a serum tumor marker in patients with osteosarcoma Study type: Retrospective cohort study Study place and duration: Department of Orthopedics, DHQ Hospital Gujranwala from January 2013 to June 2021 Methods: The medical record of 140 osteosarcoma patients were reviewed retrospectively, who received treatment for osteosarcoma during January 2015 and June 2021. According to clinical factors at diagnosis, the difference in prevalence of increased ALP was assessed using Fisher`s extract test and χ2 test. In the groups with normal and high level of serum ALP at presentation, the disease-free survival (DFS) and overall survival (OS) were compared using The Kaplan–Meier estimate. At presentation the prognostic ability of increased ALP was examined using Cox regression analyses. For determination of therapeutic steps and survival related changes in levels of ALP during therapy and survival related response of ALP to therapy, Linear Mixed model (fixed model) was used. Results: Sensitivity, specificity , Positive predictive value, negative predictive value, PLR, NLR and DOR of ALP in Metastatic osteosarcoma at 15 months follow up was 55.4%, 80.3%, 62.1%, 74.2%, 3.14, 0.864 and 5.241 respectively. Similarly, Sensitivity, specificity , Positive predictive value, negative predictive value, PLR, NLR and DOR of ALP in Metastatic osteosarcoma at 3 years follow up was 56.4%, 92.5%, 83.1%, 70.1%, 6.321, 0.632 and 8.543 respectively. Conclusion: ALP has been found to be a very important tumor marker having high specificity in patients with osteosarcoma. MeSH words: Osteosarcoma, Tumor, Biomarker, Alkaline Phosphatase, Metastasis, Sensitivity, Specificity

Publisher

Lahore Medical and Dental College

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3