Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ World Journal of Sur...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
World Journal of Surgery
Article . 2024 . Peer-reviewed
License: CC BY
Data sources: Crossref
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
PubMed Central
Article . 2024
License: CC BY
Data sources: PubMed Central
https://dx.doi.org/10.6082/7pn...
Article . 2024
License: CC BY
Data sources: Datacite
https://dx.doi.org/10.6082/4rt...
Article . 2024
License: CC BY
Data sources: Datacite
versions View all 5 versions
addClaim

Predicting disease‐specific survival in patients undergoing active surveillance for papillary thyroid carcinoma

Authors: Nielsen, Stanton; Kuchta, Kristine; Huang, Grace; Zuber, Samuel; Holoubek, Simon; Karcioglu, Amanda; Khokar, Amna; +2 Authors

Predicting disease‐specific survival in patients undergoing active surveillance for papillary thyroid carcinoma

Abstract

AbstractBackgroundAmerican Thyroid Association guidelines support active surveillance (AS) for low‐risk papillary thyroid cancer (PTC). We developed a calculator to aid patient selection.MethodsFrom 2004 to 2020, 148,904 PTC patients were selected from the surveillance, epidemiology, and end results (SEER) database. Univariable and multivariable analysis evaluated patient and treatment characteristics. Patients were randomly allocated into training (80%) or validation sets (20%). Coefficients generated a mathematical model to predict 5‐ and 10‐year disease‐specific survival (DSS).ResultsThe mean DSS was 15.5 years with a 5‐ and 10‐year DSS of 99.3% and 98.6%, respectively. Age, sex, race, median household income (MHI), tumor size, and nodal status were significant on multivariable analysis (p ≤ 0.05) and included variables in our calculator. 2404 patients underwent non‐operative management (NOM) and were more likely older, male, higher MHI, larger tumor size, and less nodal positivity. Area under the curve (AUC) for 5‐ and 10‐year DSS were 0.83 and 0.81, respectively, for the training set and 0.81 and 0.79, respectively, for the validation set.Example65‐year‐old White female with a 0.8 cm PTC, cN0 with a MHI ≥ $75,000, had a 10‐year predicted DSS was 95.6% with NOM and 99.3% with surgery. Alternatively, changing the patient's race to Hispanic, the 10‐year predicted DSS was 94.1% with NOM and 99.0% with surgery.ConclusionsAs awareness of AS for PTC expands, it is important to consider objective data to guide informed decision making. This validated calculator is a useful tool to predict DSS for patients considering AS for PTC.

Country
United States
Keywords

Male, Adult, endocrine, Patient Selection, 610, Middle Aged, thyroid, head and neck, Thyroid Cancer, Papillary, oncology, Humans, Female, Thyroid Neoplasms, Endocrine Surgery ‐ Iaes Papers Presented at Isw, Watchful Waiting, SEER Program, Aged

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    2
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Top 10%
Average
Average
Green
hybrid
Related to Research communities
Cancer Research