Evidence map›Paper›PMID 25033070›Full record

ArticleThe Journal of clinical endocrinology and metabolism2014

Tree-based model for thyroid cancer prognostication.

Mousumi Banerjee, Daniel G Muenz, Joanne T Chang, Maria Papaleontiou, Megan R Haymart

Abstract read
In one paragraph

Article in The Journal of clinical endocrinology and metabolism, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

42 citing papers in PubMed.

  1. Trial
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  4. Indolent Behavior of Malignant Bethesda III Nodules Compared to Bethesda V/VI Nodules.The Journal of clinical endocrinology and metabolism · 2024
    Article
  5. Article
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  7. Article
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  9. Article
  10. Article
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  12. Towards De-Implementation of low-value thyroid care in older adults.Current opinion in endocrinology, diabetes, and obesity · 2022
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Primary Care Provider Involvement in Thyroid Cancer Survivorship Care.The Journal of clinical endocrinology and metabolism · 2020
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Mousumi BanerjeeDepartment of Biostatistics (M.B., D.G.M.); Department of Epidemiology (J.T.C.), School of Public Health; Division of Metabolism, Endocrinology, and Diabetes, Department of Medicine (M.P., M.R.H.), University of Michigan Health System, University of Michigan, Ann Arbor, Michigan 48109.
Daniel G Muenz
Joanne T Chang
Maria Papaleontiou
Megan R Haymart

Funding

TRAINING PROGRAM IN ENDOCRINOLOGY AND METABOLISM.T32DK007245 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI RICHARD J. AUCHUS · 1986 to 2026
$7.2M
Biostatistics Training Program in Cancer ResearchT32CA083654 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Veerabhadran Baladandayuthapani, Kelley McLain Kidwell · 2002 to 2026
$4.3M
Understanding Variation in Radioactive Iodine Use in Treatment of Thyroid CancerK07CA154595 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HAYMART, MEGAN RIST · 2011 to 2015
$835k
Machine Learning Tools for Prognostication in MelanomaR21CA152775 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BANERJEE, MOUSUMI · 2011 to 2012
$354k
NCI NIH HHS 1K07CA154595-03NCI NIH HHS 1R21CA152775-02NCI NIH HHS K07 CA154595NCI NIH HHS R21 CA152775NCI NIH HHS T32 CA083654NIDDK NIH HHS 5T32DK7245-37NIDDK NIH HHS T32 DK007245
6 · The paper itself

Abstract

backgroundDeath is uncommon in thyroid cancer patients, and the factors important in predicting survival remain inadequately studied. The objective of this study was to assess prognostic effects of patient, tumor, and treatment factors and to determine prognostic groups for thyroid cancer survival.

methodsUsing data from the Surveillance, Epidemiology, and End Results Program (SEER), we evaluated overall and disease-specific survival (DSS) in 43 392 well-differentiated thyroid cancer patients diagnosed from 1998 through 2005. Multivariable analyses were performed using Cox proportional hazards regression, survival trees, and random survival forest. Similar analyses were performed using National Cancer Data Base data, with overall survival (OS) evaluated in 131 484 thyroid cancer patients diagnosed from 1998 through 2005. Relative importance of factors important to survival was assessed based on the random survival forest analyses.

resultsUsing survival tree analyses, we identified 4 distinct prognostic groups based on DSS (P < .0001). The 5-year DSS of these prognostic groups was 100%, 98%, 91%, 64%, whereas the 10-year survival was 100%, 96%, 85%, and 50%. Based on random survival forest analyses, the most important factors for DSS were SEER stage and age at diagnosis. For OS, important prognostic factors were similar, except age at diagnosis demonstrated marked importance relative to SEER stage. Similar results for OS were found using National Cancer Data Base data.

conclusionThis study identifies distinct prognostic groups for thyroid cancer and illustrates the importance of patient age to both disease-specific and OS. These findings have implications for patient education and thyroid cancer treatment.

Indexed as

Decision TreesSEER ProgramAdenocarcinoma, FollicularAdenoma, OxyphilicAdultAgedAged, 80 and overAge DistributionCarcinoma, PapillaryCell DifferentiationFemaleHumansKaplan-Meier EstimateMaleMiddle AgedPrevalence

Identifiers

PMID25033070
PMCPMC4184064

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.