Cargando…

Risk predictors of early recurrence in women with epithelial ovarian cancer in Lagos, Nigeria

INTRODUCTION: epithelial ovarian cancer (EOC) is the most lethal gynaecological cancer with a recurrence rate as high as 85% after an initial treatment. However, there are currently no reliable means of predicting the risk of recurrence after first-line treatment. This study investigated the risk fa...

Descripción completa

Detalles Bibliográficos
Autores principales: Okunade, Kehinde Sharafadeen, Adetuyi, Imoleayo Elijah, Adenekan, Muisi, Ohazurike, Ephraim, Anorlu, Rose Ihuoma
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The African Field Epidemiology Network 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7546017/
https://www.ncbi.nlm.nih.gov/pubmed/33088401
http://dx.doi.org/10.11604/pamj.2020.36.272.17827
_version_ 1783592150309535744
author Okunade, Kehinde Sharafadeen
Adetuyi, Imoleayo Elijah
Adenekan, Muisi
Ohazurike, Ephraim
Anorlu, Rose Ihuoma
author_facet Okunade, Kehinde Sharafadeen
Adetuyi, Imoleayo Elijah
Adenekan, Muisi
Ohazurike, Ephraim
Anorlu, Rose Ihuoma
author_sort Okunade, Kehinde Sharafadeen
collection PubMed
description INTRODUCTION: epithelial ovarian cancer (EOC) is the most lethal gynaecological cancer with a recurrence rate as high as 85% after an initial treatment. However, there are currently no reliable means of predicting the risk of recurrence after first-line treatment. This study investigated the risk factors that predict early recurrence of EOC after primary treatment among women in Lagos, Nigeria. METHODS: this was a retrospective cohort study involving the review of all histologically confirmed EOC patients managed at the Lagos University Teaching Hospital, Lagos, Nigeria over a 7-year period from January 2010 to December 2016. A study proforma was used to retrieve relevant information and descriptive statistics were computed for all data. The associations between variables were tested and multivariate analysis was done to adjust for all the possible characteristics that predict early EOC recurrence. RESULTS: the rate of recurrence of EOC was 76.4%. Suboptimal debulking surgery is the only independent predictor of early tumour recurrence. CONCLUSION: women should be adequately counselled and encouraged to report their symptoms early to ensure optimal primary treatment. Strategic efforts should also be made to further improve subspecialty training programs and skills development in gynaecological oncology in Nigeria and sub-Saharan Africa.
format Online
Article
Text
id pubmed-7546017
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher The African Field Epidemiology Network
record_format MEDLINE/PubMed
spelling pubmed-75460172020-10-20 Risk predictors of early recurrence in women with epithelial ovarian cancer in Lagos, Nigeria Okunade, Kehinde Sharafadeen Adetuyi, Imoleayo Elijah Adenekan, Muisi Ohazurike, Ephraim Anorlu, Rose Ihuoma Pan Afr Med J Research INTRODUCTION: epithelial ovarian cancer (EOC) is the most lethal gynaecological cancer with a recurrence rate as high as 85% after an initial treatment. However, there are currently no reliable means of predicting the risk of recurrence after first-line treatment. This study investigated the risk factors that predict early recurrence of EOC after primary treatment among women in Lagos, Nigeria. METHODS: this was a retrospective cohort study involving the review of all histologically confirmed EOC patients managed at the Lagos University Teaching Hospital, Lagos, Nigeria over a 7-year period from January 2010 to December 2016. A study proforma was used to retrieve relevant information and descriptive statistics were computed for all data. The associations between variables were tested and multivariate analysis was done to adjust for all the possible characteristics that predict early EOC recurrence. RESULTS: the rate of recurrence of EOC was 76.4%. Suboptimal debulking surgery is the only independent predictor of early tumour recurrence. CONCLUSION: women should be adequately counselled and encouraged to report their symptoms early to ensure optimal primary treatment. Strategic efforts should also be made to further improve subspecialty training programs and skills development in gynaecological oncology in Nigeria and sub-Saharan Africa. The African Field Epidemiology Network 2020-08-12 /pmc/articles/PMC7546017/ /pubmed/33088401 http://dx.doi.org/10.11604/pamj.2020.36.272.17827 Text en Copyright: Kehinde Sharafadeen Okunade et al. https://creativecommons.org/licenses/by/4.0 The Pan African Medical Journal (ISSN: 1937-8688). This is an Open Access article distributed under the terms of the Creative Commons Attribution International 4.0 License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Okunade, Kehinde Sharafadeen
Adetuyi, Imoleayo Elijah
Adenekan, Muisi
Ohazurike, Ephraim
Anorlu, Rose Ihuoma
Risk predictors of early recurrence in women with epithelial ovarian cancer in Lagos, Nigeria
title Risk predictors of early recurrence in women with epithelial ovarian cancer in Lagos, Nigeria
title_full Risk predictors of early recurrence in women with epithelial ovarian cancer in Lagos, Nigeria
title_fullStr Risk predictors of early recurrence in women with epithelial ovarian cancer in Lagos, Nigeria
title_full_unstemmed Risk predictors of early recurrence in women with epithelial ovarian cancer in Lagos, Nigeria
title_short Risk predictors of early recurrence in women with epithelial ovarian cancer in Lagos, Nigeria
title_sort risk predictors of early recurrence in women with epithelial ovarian cancer in lagos, nigeria
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7546017/
https://www.ncbi.nlm.nih.gov/pubmed/33088401
http://dx.doi.org/10.11604/pamj.2020.36.272.17827
work_keys_str_mv AT okunadekehindesharafadeen riskpredictorsofearlyrecurrenceinwomenwithepithelialovariancancerinlagosnigeria
AT adetuyiimoleayoelijah riskpredictorsofearlyrecurrenceinwomenwithepithelialovariancancerinlagosnigeria
AT adenekanmuisi riskpredictorsofearlyrecurrenceinwomenwithepithelialovariancancerinlagosnigeria
AT ohazurikeephraim riskpredictorsofearlyrecurrenceinwomenwithepithelialovariancancerinlagosnigeria
AT anorluroseihuoma riskpredictorsofearlyrecurrenceinwomenwithepithelialovariancancerinlagosnigeria