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Survival analysis of cervical cancer patients in Malaysia: assessing the proportional hazards assumption

In Malaysia, cervical cancer ranks as the third most prevalent and the fourth most lethal cancer among women. It continues to be a major concern among clinicians. Nonetheless, there were hardly any published studies on the assessment of the proportional hazard (PH) assumption for these patients in M...

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Main Authors: Nurliyana Juhan, Yong Zulina Zubairi, Nur Idayu Ah Khaliludin
Format: Proceedings
Language:English
English
Published: Pusat e-pembelajaran, UMS 2023
Subjects:
R855-855.5 Medical technology
RC254-282 Neoplasms. Tumors. Oncology Including cancer and carcinogens
Online Access:https://eprints.ums.edu.my/id/eprint/41302/1/ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/41302/2/FULL%20TEXT.pdf
https://eprints.ums.edu.my/id/eprint/41302/
https://oer.ums.edu.my/handle/oer_source_files/2781
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spelling my.ums.eprints.413022024-10-14T02:11:06Z https://eprints.ums.edu.my/id/eprint/41302/ Survival analysis of cervical cancer patients in Malaysia: assessing the proportional hazards assumption Nurliyana Juhan Yong Zulina Zubairi Nur Idayu Ah Khaliludin R855-855.5 Medical technology RC254-282 Neoplasms. Tumors. Oncology Including cancer and carcinogens In Malaysia, cervical cancer ranks as the third most prevalent and the fourth most lethal cancer among women. It continues to be a major concern among clinicians. Nonetheless, there were hardly any published studies on the assessment of the proportional hazard (PH) assumption for these patients in Malaysia before the development of the Cox model. The application of survival analysis method is crucial in addressing this issue. Therefore, the aim of this study is to assess the PH assumption in the survival analysis of Malaysian cervical cancer patients. In this study, data was collected from Universiti Sains Malaysia Hospital (HUSM) throughout a seven-year period. The log cumulative hazard plot and the Schoenfeld residuals test with the cox.zph function was applied to assess the PH assumption of cervical cancer patients. From the log cumulative hazard plot, only primary treatment and stage of cancer satisfied the PH assumption. Meanwhile, from the Schoenfeld residual test, the p-values for variable ethnicity, lymph node involvement, histology, primary treatment, stage of cancer, and age category were not significant at the 5% significance level, which indicates that these six variables meet the proportional hazard assumption. It is worthwhile to note that in the Cox model, the assumption is that the hazard for any other individual is proportional to the hazard for any other individual, where the constant proportionality is independent of time. Therefore, before applying the Cox model, it is necessary to check for the PH assumption, as demonstrated in this study. Pusat e-pembelajaran, UMS 2023 Proceedings PeerReviewed text en https://eprints.ums.edu.my/id/eprint/41302/1/ABSTRACT.pdf text en https://eprints.ums.edu.my/id/eprint/41302/2/FULL%20TEXT.pdf Nurliyana Juhan and Yong Zulina Zubairi and Nur Idayu Ah Khaliludin (2023) Survival analysis of cervical cancer patients in Malaysia: assessing the proportional hazards assumption. https://oer.ums.edu.my/handle/oer_source_files/2781
institution Universiti Malaysia Sabah
building UMS Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
url_provider http://eprints.ums.edu.my/
language English
English
topic R855-855.5 Medical technology
RC254-282 Neoplasms. Tumors. Oncology Including cancer and carcinogens
spellingShingle R855-855.5 Medical technology
RC254-282 Neoplasms. Tumors. Oncology Including cancer and carcinogens
Nurliyana Juhan
Yong Zulina Zubairi
Nur Idayu Ah Khaliludin
Survival analysis of cervical cancer patients in Malaysia: assessing the proportional hazards assumption
description In Malaysia, cervical cancer ranks as the third most prevalent and the fourth most lethal cancer among women. It continues to be a major concern among clinicians. Nonetheless, there were hardly any published studies on the assessment of the proportional hazard (PH) assumption for these patients in Malaysia before the development of the Cox model. The application of survival analysis method is crucial in addressing this issue. Therefore, the aim of this study is to assess the PH assumption in the survival analysis of Malaysian cervical cancer patients. In this study, data was collected from Universiti Sains Malaysia Hospital (HUSM) throughout a seven-year period. The log cumulative hazard plot and the Schoenfeld residuals test with the cox.zph function was applied to assess the PH assumption of cervical cancer patients. From the log cumulative hazard plot, only primary treatment and stage of cancer satisfied the PH assumption. Meanwhile, from the Schoenfeld residual test, the p-values for variable ethnicity, lymph node involvement, histology, primary treatment, stage of cancer, and age category were not significant at the 5% significance level, which indicates that these six variables meet the proportional hazard assumption. It is worthwhile to note that in the Cox model, the assumption is that the hazard for any other individual is proportional to the hazard for any other individual, where the constant proportionality is independent of time. Therefore, before applying the Cox model, it is necessary to check for the PH assumption, as demonstrated in this study.
format Proceedings
author Nurliyana Juhan
Yong Zulina Zubairi
Nur Idayu Ah Khaliludin
author_facet Nurliyana Juhan
Yong Zulina Zubairi
Nur Idayu Ah Khaliludin
author_sort Nurliyana Juhan
title Survival analysis of cervical cancer patients in Malaysia: assessing the proportional hazards assumption
title_short Survival analysis of cervical cancer patients in Malaysia: assessing the proportional hazards assumption
title_full Survival analysis of cervical cancer patients in Malaysia: assessing the proportional hazards assumption
title_fullStr Survival analysis of cervical cancer patients in Malaysia: assessing the proportional hazards assumption
title_full_unstemmed Survival analysis of cervical cancer patients in Malaysia: assessing the proportional hazards assumption
title_sort survival analysis of cervical cancer patients in malaysia: assessing the proportional hazards assumption
publisher Pusat e-pembelajaran, UMS
publishDate 2023
url https://eprints.ums.edu.my/id/eprint/41302/1/ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/41302/2/FULL%20TEXT.pdf
https://eprints.ums.edu.my/id/eprint/41302/
https://oer.ums.edu.my/handle/oer_source_files/2781
_version_ 1814049447697448960
score 13.211869

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