Evidence map›Paper›PMID 37872047›Full record

ArticleSurgery2024

Age-stratified comparison of active surveillance versus radiofrequency ablation for papillary thyroid microcarcinoma using decision analysis.

Kendyl M Carlisle, Jessica P Brown, Justin Kim, Douglas J Turner, Julia F Slejko, Jennifer H Kuo, C Daniel Mullins, Yinin Hu

Open access · greenAbstract read
In one paragraph

Article in Surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Ablative Technologies for Thyroid Nodules: A Health Technology Assessment.Ontario health technology assessment series · 2026
    Pooled it
  2. Review
  3. Ablative Therapies in Low-Risk Thyroid Cancer.Annals of surgical oncology · 2025
    Review
  4. 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 2 institutions in 1 country.

Kendyl M CarlisleDepartment of Surgery, University of Maryland, Baltimore, Baltimore, MD.
Jessica P BrownDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD.
Justin KimDepartment of Surgery, University of Maryland, Baltimore, Baltimore, MD.
Douglas J TurnerDepartment of Surgery, University of Maryland, Baltimore, Baltimore, MD.
Julia F SlejkoDepartment of Practice, Sciences, and Health Outcomes Research, University of Maryland School of Pharmacy, Baltimore, MD.
Jennifer H KuoDepartment of Surgery, Columbia University Medical Center, New York, NY.
C Daniel MullinsDepartment of Practice, Sciences, and Health Outcomes Research, University of Maryland School of Pharmacy, Baltimore, MD.
Yinin HuDepartment of Surgery, University of Maryland, Baltimore, Baltimore, MD. Electronic address: yinin.hu@som.umaryland.edu.
University of Maryland, Baltimore · USColumbia University Irving Medical Center · US

Funding

UNIVERSITY OF MARYLAND GREENEBAUM CANCER CENTERSUPPORT GRANTP30CA134274 · NCI · UNIVERSITY OF MARYLAND BALTIMORE · PI Vu H. Duong · 2008 to 2026
$51.0M
RESEARCH TRAINING IN THE EPIDEMIOLOGY OF AGINGT32AG000262 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI ANN L GRUBER-BALDINI, DENISE L ORWIG · 1998 to 2026
$8.2M
Institutional Career Development CoreKL2TR003099 · NCATS · JOHNS HOPKINS UNIVERSITY · PI GEBO, KELLY A · 2019 to 2023
$7.9M
NCATS NIH HHS KL2 TR003099NCI NIH HHS P30 CA134274NIA NIH HHS T32 AG000262
6 · The paper itself

Abstract

backgroundPapillary thyroid microcarcinomas may be treated with radiofrequency ablation, active surveillance, or surgery. The objective of this study was to use mathematical modeling to compare treatment alternatives for papillary thyroid microcarcinomas among those who decline surgery. We hypothesized that radiofrequency ablation would outperform active surveillance in avoiding progression and surgery but that the effect size would be small for older patients.

methodsWe engaged stakeholders to identify meaningful long-term endpoints for papillary thyroid microcarcinoma treatment-(1) cancer progression/surgery, (2) need for thyroid replacement therapy, and (3) permanent treatment complication. A Markov decision analysis model was created to compare the probability of these endpoints after radiofrequency ablation or active surveillance for papillary thyroid microcarcinomas and overall cost. Transition probabilities were extracted from published literature. Model outcomes were estimated to have a 10-year time horizon.

resultsThe primary outcome yielded a number needed to treat of 18.1 for the avoidance of progression and 27.4 for the avoidance of lifelong thyroid replacement therapy for radiofrequency ablation compared to active surveillance. However, as patient age increased, the number needed to treat to avoid progression increased from 5.2 (age 20-29) to 39.1 (age 60+). The number needed to treat to avoid lifelong thyroid replacement therapy increased with age from 7.8 (age 20-29) to 59.3 (age 60+). The average 10-year cost/treatment for active surveillance and radiofrequency ablation were $6,400 and $11,700, respectively, translating to a cost per progression-avoided of $106,500.

conclusionAs an alternative to active surveillance, radiofrequency ablation may have a greater therapeutic impact in younger patients. However, routine implementation may be cost-prohibitive for most patients with papillary thyroid microcarcinomas.

Indexed as

Radiofrequency AblationThyroid NeoplasmsAdultCarcinoma, PapillaryDecision Support TechniquesHumansMiddle AgedWatchful WaitingYoung Adult

Identifiers

PMID37872047
PMCPMC10845124
OpenAlexW4387849669

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.