Cargando…

SAT527 The Management Of Thyroid Cancer: Where We Started And Where We Are Heading? A Five-decades Text Mining Analysis

Disclosure: I. Tessler: None. N.A. Gecel: None. G. Avior: None. E. Klang: None. E. Alon: None. T. Kolitz: None. Aim: Thyroid cancer prevalence rate continues to increase, being the most common endocrine cancer. During the years, significant progress in methods for diagnosis, risk-stratification and...

Descripción completa

Detalles Bibliográficos
Autores principales: Tessler, Idit, Gecel, Nir Abraham, Avior, Galit, Klang, Eyal, Alon, Eran, Kolitz, Tamara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10553732/
http://dx.doi.org/10.1210/jendso/bvad114.1999
_version_ 1785116243095715840
author Tessler, Idit
Gecel, Nir Abraham
Avior, Galit
Klang, Eyal
Alon, Eran
Kolitz, Tamara
author_facet Tessler, Idit
Gecel, Nir Abraham
Avior, Galit
Klang, Eyal
Alon, Eran
Kolitz, Tamara
author_sort Tessler, Idit
collection PubMed
description Disclosure: I. Tessler: None. N.A. Gecel: None. G. Avior: None. E. Klang: None. E. Alon: None. T. Kolitz: None. Aim: Thyroid cancer prevalence rate continues to increase, being the most common endocrine cancer. During the years, significant progress in methods for diagnosis, risk-stratification and management were developed, with the recent advance of molecular testing. Here we explore the evolution of thyroid cancer management over the past five decades through a text-mining analysis. Materials and methods: We have queried PubMed for all available 'thyroid cancer' related entries published during 1970-2022. The following data were extracted for each entry: year of publication, publishing journal, title, keywords, and abstract text. Search terms belonged to demographics, histology, diagnosis methods, treatment, and follow-up. Annual trends of publications were plotted. The slopes of publication trends were calculated by fitting regression lines to the yearly number of publications. We also retrieved the number of citations per publication and analyzed the most impactful papers on each topic.Results: Our search yielded 95,931 papers published during the study period. Publications regarding diagnosis (39,490) outnumbered all other topics, in which molecular testing has significantly sharpest raise (slope p=34.1±3.3). Most publication focused on females (n=56,198) and differentiated thyroid cancer (n=45,953). Surgery remains the most studied treatment method during the whole study period, with recent raise in studies regarding active-surveillance (slope 14.2±1.3). Studies concerning shared decision-making and patient experience emerged in 2000, with a sharp increase in recent years (slope 3.8±0.3, p < .001).Conclusions: Our study provides an overview of the trends in thyroid cancer research over the past five decades. Publications regarding molecular testing outnumbered all other diagnosis methods, identified as the primary trend of the current era. Publications on active surveillance have rapidly risen in recent years, highlighting this method's role in thyroid cancer. Keywords: Machine learning; artificial intelligence; Thyroid cancer; Molecular-tests Presentation Date: Saturday, June 17, 2023
format Online
Article
Text
id pubmed-10553732
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-105537322023-10-06 SAT527 The Management Of Thyroid Cancer: Where We Started And Where We Are Heading? A Five-decades Text Mining Analysis Tessler, Idit Gecel, Nir Abraham Avior, Galit Klang, Eyal Alon, Eran Kolitz, Tamara J Endocr Soc Thyroid Disclosure: I. Tessler: None. N.A. Gecel: None. G. Avior: None. E. Klang: None. E. Alon: None. T. Kolitz: None. Aim: Thyroid cancer prevalence rate continues to increase, being the most common endocrine cancer. During the years, significant progress in methods for diagnosis, risk-stratification and management were developed, with the recent advance of molecular testing. Here we explore the evolution of thyroid cancer management over the past five decades through a text-mining analysis. Materials and methods: We have queried PubMed for all available 'thyroid cancer' related entries published during 1970-2022. The following data were extracted for each entry: year of publication, publishing journal, title, keywords, and abstract text. Search terms belonged to demographics, histology, diagnosis methods, treatment, and follow-up. Annual trends of publications were plotted. The slopes of publication trends were calculated by fitting regression lines to the yearly number of publications. We also retrieved the number of citations per publication and analyzed the most impactful papers on each topic.Results: Our search yielded 95,931 papers published during the study period. Publications regarding diagnosis (39,490) outnumbered all other topics, in which molecular testing has significantly sharpest raise (slope p=34.1±3.3). Most publication focused on females (n=56,198) and differentiated thyroid cancer (n=45,953). Surgery remains the most studied treatment method during the whole study period, with recent raise in studies regarding active-surveillance (slope 14.2±1.3). Studies concerning shared decision-making and patient experience emerged in 2000, with a sharp increase in recent years (slope 3.8±0.3, p < .001).Conclusions: Our study provides an overview of the trends in thyroid cancer research over the past five decades. Publications regarding molecular testing outnumbered all other diagnosis methods, identified as the primary trend of the current era. Publications on active surveillance have rapidly risen in recent years, highlighting this method's role in thyroid cancer. Keywords: Machine learning; artificial intelligence; Thyroid cancer; Molecular-tests Presentation Date: Saturday, June 17, 2023 Oxford University Press 2023-10-05 /pmc/articles/PMC10553732/ http://dx.doi.org/10.1210/jendso/bvad114.1999 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of the Endocrine Society. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Thyroid
Tessler, Idit
Gecel, Nir Abraham
Avior, Galit
Klang, Eyal
Alon, Eran
Kolitz, Tamara
SAT527 The Management Of Thyroid Cancer: Where We Started And Where We Are Heading? A Five-decades Text Mining Analysis
title SAT527 The Management Of Thyroid Cancer: Where We Started And Where We Are Heading? A Five-decades Text Mining Analysis
title_full SAT527 The Management Of Thyroid Cancer: Where We Started And Where We Are Heading? A Five-decades Text Mining Analysis
title_fullStr SAT527 The Management Of Thyroid Cancer: Where We Started And Where We Are Heading? A Five-decades Text Mining Analysis
title_full_unstemmed SAT527 The Management Of Thyroid Cancer: Where We Started And Where We Are Heading? A Five-decades Text Mining Analysis
title_short SAT527 The Management Of Thyroid Cancer: Where We Started And Where We Are Heading? A Five-decades Text Mining Analysis
title_sort sat527 the management of thyroid cancer: where we started and where we are heading? a five-decades text mining analysis
topic Thyroid
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10553732/
http://dx.doi.org/10.1210/jendso/bvad114.1999
work_keys_str_mv AT tessleridit sat527themanagementofthyroidcancerwherewestartedandwhereweareheadingafivedecadestextmininganalysis
AT gecelnirabraham sat527themanagementofthyroidcancerwherewestartedandwhereweareheadingafivedecadestextmininganalysis
AT aviorgalit sat527themanagementofthyroidcancerwherewestartedandwhereweareheadingafivedecadestextmininganalysis
AT klangeyal sat527themanagementofthyroidcancerwherewestartedandwhereweareheadingafivedecadestextmininganalysis
AT aloneran sat527themanagementofthyroidcancerwherewestartedandwhereweareheadingafivedecadestextmininganalysis
AT kolitztamara sat527themanagementofthyroidcancerwherewestartedandwhereweareheadingafivedecadestextmininganalysis