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Cervical cancer in Ethiopia – predictors of advanced stage and prolonged time to diagnosis

INTRODUCTION: In Ethiopia, most cervical cancer patients present at advanced cancer stages, long time after they experience first symptoms. We investigated possible predictors of long time spans between symptom onset and pathologic diagnosis (patient intervals). We also aimed to seek out predictors...

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Autores principales: Begoihn, Matthias, Mathewos, Assefa, Aynalem, Abreha, Wondemagegnehu, Tigeneh, Moelle, Ulrike, Gizaw, Muluken, Wienke, Andreas, Thomssen, Christoph, Worku, Dawit, Addissie, Adamu, Jemal, Ahmedin, Kantelhardt, Eva Johanna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6849163/
https://www.ncbi.nlm.nih.gov/pubmed/31737087
http://dx.doi.org/10.1186/s13027-019-0255-4
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author Begoihn, Matthias
Mathewos, Assefa
Aynalem, Abreha
Wondemagegnehu, Tigeneh
Moelle, Ulrike
Gizaw, Muluken
Wienke, Andreas
Thomssen, Christoph
Worku, Dawit
Addissie, Adamu
Jemal, Ahmedin
Kantelhardt, Eva Johanna
author_facet Begoihn, Matthias
Mathewos, Assefa
Aynalem, Abreha
Wondemagegnehu, Tigeneh
Moelle, Ulrike
Gizaw, Muluken
Wienke, Andreas
Thomssen, Christoph
Worku, Dawit
Addissie, Adamu
Jemal, Ahmedin
Kantelhardt, Eva Johanna
author_sort Begoihn, Matthias
collection PubMed
description INTRODUCTION: In Ethiopia, most cervical cancer patients present at advanced cancer stages, long time after they experience first symptoms. We investigated possible predictors of long time spans between symptom onset and pathologic diagnosis (patient intervals). We also aimed to seek out predictors for advanced cancer stage diagnosis. METHODS: We conducted a retrospective cohort study among 1575 cervical cancer patients who were registered at Tikur Anbessa Specialized Hospital (TASH), Addis Ababa, Ethiopia between September 2008 and September 2012. Cox proportional hazards regression was used to find predictors of long patient intervals. Cumulative odds ordinal logistic regression was used to identify predictors of cancer stage at diagnosis. RESULTS: Median patient interval was 30 weeks, with the interval substantially longer in patients residing in rural than urban areas. Longer patient intervals were associated with more advanced cancer stages at pathologic diagnosis. HIV-positive women had an almost 1.5 times increased risk of diagnosis at a more advanced stage. CONCLUSION: Cervical cancer patients are diagnosed after long time periods leading to advanced stages at diagnosis. Measures to raise awareness about cervical cancer, to increase screening and to shorten the time interval from recognition of symptoms to diagnosis are urgently needed.
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spelling pubmed-68491632019-11-15 Cervical cancer in Ethiopia – predictors of advanced stage and prolonged time to diagnosis Begoihn, Matthias Mathewos, Assefa Aynalem, Abreha Wondemagegnehu, Tigeneh Moelle, Ulrike Gizaw, Muluken Wienke, Andreas Thomssen, Christoph Worku, Dawit Addissie, Adamu Jemal, Ahmedin Kantelhardt, Eva Johanna Infect Agent Cancer Research Article INTRODUCTION: In Ethiopia, most cervical cancer patients present at advanced cancer stages, long time after they experience first symptoms. We investigated possible predictors of long time spans between symptom onset and pathologic diagnosis (patient intervals). We also aimed to seek out predictors for advanced cancer stage diagnosis. METHODS: We conducted a retrospective cohort study among 1575 cervical cancer patients who were registered at Tikur Anbessa Specialized Hospital (TASH), Addis Ababa, Ethiopia between September 2008 and September 2012. Cox proportional hazards regression was used to find predictors of long patient intervals. Cumulative odds ordinal logistic regression was used to identify predictors of cancer stage at diagnosis. RESULTS: Median patient interval was 30 weeks, with the interval substantially longer in patients residing in rural than urban areas. Longer patient intervals were associated with more advanced cancer stages at pathologic diagnosis. HIV-positive women had an almost 1.5 times increased risk of diagnosis at a more advanced stage. CONCLUSION: Cervical cancer patients are diagnosed after long time periods leading to advanced stages at diagnosis. Measures to raise awareness about cervical cancer, to increase screening and to shorten the time interval from recognition of symptoms to diagnosis are urgently needed. BioMed Central 2019-11-11 /pmc/articles/PMC6849163/ /pubmed/31737087 http://dx.doi.org/10.1186/s13027-019-0255-4 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Begoihn, Matthias
Mathewos, Assefa
Aynalem, Abreha
Wondemagegnehu, Tigeneh
Moelle, Ulrike
Gizaw, Muluken
Wienke, Andreas
Thomssen, Christoph
Worku, Dawit
Addissie, Adamu
Jemal, Ahmedin
Kantelhardt, Eva Johanna
Cervical cancer in Ethiopia – predictors of advanced stage and prolonged time to diagnosis
title Cervical cancer in Ethiopia – predictors of advanced stage and prolonged time to diagnosis
title_full Cervical cancer in Ethiopia – predictors of advanced stage and prolonged time to diagnosis
title_fullStr Cervical cancer in Ethiopia – predictors of advanced stage and prolonged time to diagnosis
title_full_unstemmed Cervical cancer in Ethiopia – predictors of advanced stage and prolonged time to diagnosis
title_short Cervical cancer in Ethiopia – predictors of advanced stage and prolonged time to diagnosis
title_sort cervical cancer in ethiopia – predictors of advanced stage and prolonged time to diagnosis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6849163/
https://www.ncbi.nlm.nih.gov/pubmed/31737087
http://dx.doi.org/10.1186/s13027-019-0255-4
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