Evidence map›Paper›PMID 35716358›Full record

ArticleThe Laryngoscope2023

Prognostic Utility of Tumor Stage versus American Thyroid Association Risk Class in Thyroid Cancer.

Arash Abiri, Jonathan Pang, Karthik R Prasad, Khodayar Goshtasbi, Edward C Kuan, William B Armstrong, Yarah M Haidar, Tjoson Tjoa

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The Laryngoscope, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 36% of its field
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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

8 authors at 1 institution in 1 country.

Arash AbiriDepartment of Otolaryngology-Head and Neck Surgery, University of California, Irvine, Orange, California, USA.ORCID 0000-0003-2656-1060
Jonathan PangDepartment of Otolaryngology-Head and Neck Surgery, University of California, Irvine, Orange, California, USA.ORCID 0000-0002-2300-3904
Karthik R PrasadDepartment of Otolaryngology-Head and Neck Surgery, University of California, Irvine, Orange, California, USA.ORCID 0000-0001-6793-6776
Khodayar GoshtasbiDepartment of Otolaryngology-Head and Neck Surgery, University of California, Irvine, Orange, California, USA.
Edward C KuanDepartment of Otolaryngology-Head and Neck Surgery, University of California, Irvine, Orange, California, USA.ORCID 0000-0003-3475-0718
William B ArmstrongDepartment of Otolaryngology-Head and Neck Surgery, University of California, Irvine, Orange, California, USA.ORCID 0000-0003-0672-4483
Yarah M HaidarDepartment of Otolaryngology-Head and Neck Surgery, University of California, Irvine, Orange, California, USA.ORCID 0000-0003-4211-6979
Tjoson TjoaDepartment of Otolaryngology-Head and Neck Surgery, University of California, Irvine, Orange, California, USA.ORCID 0000-0001-8777-4145
University of California, Irvine · US

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM008620 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI GOLDIN, ALAN L · 1999 to 2023
$8.1M
NIGMS NIH HHS T32 GM008620
6 · The paper itself

Abstract

objectiveTo evaluate the prognostic strengths of American Joint Committee on Cancer (AJCC) staging and American Thyroid Association (ATA) risk classification in well-differentiated thyroid cancer (DTC), and their implications in guiding medical decision-making and epidemiological study designs.

methodsThe 2004-2017 National Cancer Database was queried for DTC patients. Cox proportional hazards (CPH) and Kaplan-Meier analyses modeled patient mortality and overall survival, respectively. Each CPH model was evaluated by its concordance index, measure of explained randomness (MER), Akaike information criterion (AIC), and area under receiver operating characteristic curve (AUC).

resultsOverall, 134,226 patients were analyzed, with an average age of 48.1 ± 15.1 years (76.9% female). Univariate CPH models using AJCC staging demonstrated higher concordance indices, MERs, and AUCs than those using ATA risk classification (all p < 0.001). Multivariable CPH models using AJCC staging demonstrated higher concordance indices (p = 0.049), MERs (p = 0.046), and AUCs (p = 0.002) than those using ATA risk classification. The AICs of multivariable AJCC staging and ATA risk models were 7.564 × 10

conclusionAJCC staging may be a more predictive system for patient survival than ATA risk. The prognostic utility of these two systems converges when additional demographic and clinical factors are considered. AJCC staging was found to classify patients across a wider range of survival patterns than the ATA risk stratification system. LEVEL OF EVIDENCE: 4 Laryngoscope, 133:205-211, 2023.

Indexed as

AdenocarcinomaThyroid NeoplasmsAdultFemaleHumansMaleMiddle AgedNeoplasm StagingPrognosisProportional Hazards ModelsUnited StatesAJCCATAstudy designsurvivalthyroid cancerTNM

Identifiers

PMID35716358
PMCPMC9759623
OpenAlexW4283074421

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.