Cargando…

The use of a multiple imputation method to investigate the trends in Histologic types of lung cancer in Songkhla province, Thailand, 1989–2013

BACKGROUND: The incidence of lung cancer in many parts of the country as shown in cancer registry statistics is not decreasing. The incidence of adenocarcinoma (ADCA) in Songkhla is now higher than that of squamous cell carcinoma (SCC) in both sexes. The percentage of the unknown histologic type of...

Descripción completa

Detalles Bibliográficos
Autores principales: Sriplung, Hutcha, Yeesoonsang, Seesai, McNeil, Edward, Bilheem, Surichai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4932721/
https://www.ncbi.nlm.nih.gov/pubmed/27378164
http://dx.doi.org/10.1186/s12885-016-2441-8
_version_ 1782441115478130688
author Sriplung, Hutcha
Yeesoonsang, Seesai
McNeil, Edward
Bilheem, Surichai
author_facet Sriplung, Hutcha
Yeesoonsang, Seesai
McNeil, Edward
Bilheem, Surichai
author_sort Sriplung, Hutcha
collection PubMed
description BACKGROUND: The incidence of lung cancer in many parts of the country as shown in cancer registry statistics is not decreasing. The incidence of adenocarcinoma (ADCA) in Songkhla is now higher than that of squamous cell carcinoma (SCC) in both sexes. The percentage of the unknown histologic type of lung cancer in Songkhla is around 30 %. The objective of this study is to estimate trends in incidence of the two major histologic types of lung cancer: SCC and ADCA, in Songkhla province of Thailand from 1989 to 2013. METHODS: Age-standardized incidence rates (ASR) were used to compare and described the trends in both major types of cancers. Multinomial logistic regression models were used to impute unknown histological cancer types using a multiple imputation (MI) method to account for the high percentage of unknown histology. RESULTS: The multinomial predictive model for major types of lung cancer in Songkhla consisted of sex, age, year of diagnosis, and place of residence. After MI, the number of cases with both SCC and ADCA in both sexes increased by one-third of the number of cases with originally known histology. The increasing trends were observed in ADCA in both sexes while SCC in males was stable and in females was decreasing. CONCLUSIONS: A rapid increase in the incidence of ADCA was found while the incidence of SCC in males showed no significant change and it was declining in females. These results warrant an investigation into risk factors other than cigarette smoking. The number of cases has limited use when the age structure of the population under study is changing. Year of diagnosis was one of the predictors in the MI model.
format Online
Article
Text
id pubmed-4932721
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-49327212016-07-06 The use of a multiple imputation method to investigate the trends in Histologic types of lung cancer in Songkhla province, Thailand, 1989–2013 Sriplung, Hutcha Yeesoonsang, Seesai McNeil, Edward Bilheem, Surichai BMC Cancer Research Article BACKGROUND: The incidence of lung cancer in many parts of the country as shown in cancer registry statistics is not decreasing. The incidence of adenocarcinoma (ADCA) in Songkhla is now higher than that of squamous cell carcinoma (SCC) in both sexes. The percentage of the unknown histologic type of lung cancer in Songkhla is around 30 %. The objective of this study is to estimate trends in incidence of the two major histologic types of lung cancer: SCC and ADCA, in Songkhla province of Thailand from 1989 to 2013. METHODS: Age-standardized incidence rates (ASR) were used to compare and described the trends in both major types of cancers. Multinomial logistic regression models were used to impute unknown histological cancer types using a multiple imputation (MI) method to account for the high percentage of unknown histology. RESULTS: The multinomial predictive model for major types of lung cancer in Songkhla consisted of sex, age, year of diagnosis, and place of residence. After MI, the number of cases with both SCC and ADCA in both sexes increased by one-third of the number of cases with originally known histology. The increasing trends were observed in ADCA in both sexes while SCC in males was stable and in females was decreasing. CONCLUSIONS: A rapid increase in the incidence of ADCA was found while the incidence of SCC in males showed no significant change and it was declining in females. These results warrant an investigation into risk factors other than cigarette smoking. The number of cases has limited use when the age structure of the population under study is changing. Year of diagnosis was one of the predictors in the MI model. BioMed Central 2016-07-04 /pmc/articles/PMC4932721/ /pubmed/27378164 http://dx.doi.org/10.1186/s12885-016-2441-8 Text en © The Author(s). 2016 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
Sriplung, Hutcha
Yeesoonsang, Seesai
McNeil, Edward
Bilheem, Surichai
The use of a multiple imputation method to investigate the trends in Histologic types of lung cancer in Songkhla province, Thailand, 1989–2013
title The use of a multiple imputation method to investigate the trends in Histologic types of lung cancer in Songkhla province, Thailand, 1989–2013
title_full The use of a multiple imputation method to investigate the trends in Histologic types of lung cancer in Songkhla province, Thailand, 1989–2013
title_fullStr The use of a multiple imputation method to investigate the trends in Histologic types of lung cancer in Songkhla province, Thailand, 1989–2013
title_full_unstemmed The use of a multiple imputation method to investigate the trends in Histologic types of lung cancer in Songkhla province, Thailand, 1989–2013
title_short The use of a multiple imputation method to investigate the trends in Histologic types of lung cancer in Songkhla province, Thailand, 1989–2013
title_sort use of a multiple imputation method to investigate the trends in histologic types of lung cancer in songkhla province, thailand, 1989–2013
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4932721/
https://www.ncbi.nlm.nih.gov/pubmed/27378164
http://dx.doi.org/10.1186/s12885-016-2441-8
work_keys_str_mv AT sriplunghutcha theuseofamultipleimputationmethodtoinvestigatethetrendsinhistologictypesoflungcancerinsongkhlaprovincethailand19892013
AT yeesoonsangseesai theuseofamultipleimputationmethodtoinvestigatethetrendsinhistologictypesoflungcancerinsongkhlaprovincethailand19892013
AT mcneiledward theuseofamultipleimputationmethodtoinvestigatethetrendsinhistologictypesoflungcancerinsongkhlaprovincethailand19892013
AT bilheemsurichai theuseofamultipleimputationmethodtoinvestigatethetrendsinhistologictypesoflungcancerinsongkhlaprovincethailand19892013
AT sriplunghutcha useofamultipleimputationmethodtoinvestigatethetrendsinhistologictypesoflungcancerinsongkhlaprovincethailand19892013
AT yeesoonsangseesai useofamultipleimputationmethodtoinvestigatethetrendsinhistologictypesoflungcancerinsongkhlaprovincethailand19892013
AT mcneiledward useofamultipleimputationmethodtoinvestigatethetrendsinhistologictypesoflungcancerinsongkhlaprovincethailand19892013
AT bilheemsurichai useofamultipleimputationmethodtoinvestigatethetrendsinhistologictypesoflungcancerinsongkhlaprovincethailand19892013