Evidence map›Paper›PMID 28822062›Full record

ArticleEndocrine2017

Validation of dynamic risk stratification in pediatric differentiated thyroid cancer.

Seo Young Sohn, Young Nam Kim, Hye In Kim, Tae Hyuk Kim, Sun Wook Kim, Jae Hoon Chung

Abstract read
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In one paragraph

Article in Endocrine, 2017. 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
–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

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

  1. Guideline
  2. Article
  3. The Role of American Thyroid Association Pediatric Thyroid Cancer Risk Stratification andJournal of clinical research in pediatric endocrinology · 2022
    Article
  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

6 authors.

Seo Young SohnDepartment of Endocrinology and Metabolism, Seonam University, Myongji Hospital, Goyang, Korea.
Young Nam KimDivision of Endocrinology and Metabolism, Department of Medicine, Thyroid Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Hye In KimDivision of Endocrinology and Metabolism, Department of Medicine, Thyroid Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Tae Hyuk KimDivision of Endocrinology and Metabolism, Department of Medicine, Thyroid Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Sun Wook KimDivision of Endocrinology and Metabolism, Department of Medicine, Thyroid Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Jae Hoon ChungDivision of Endocrinology and Metabolism, Department of Medicine, Thyroid Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea. thyroid@skku.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThere has been increasing interest in a risk-adopted management strategy known as dynamic risk stratification following the revised American Thyroid Association guidelines for differentiated thyroid cancer. We aimed to evaluate the usefulness of dynamic risk stratification for predicting structural disease in pediatric differentiated thyroid cancer patients.

methodsWe retrospectively reviewed 130 pediatric differentiated thyroid cancer patients (≤19 years) who were treated between 1996 and 2015 at Samsung Medical Center. Patients were stratified according to three American Thyroid Association initial risk group (low, intermediate, or high risk) and four dynamic risk stratification group (excellent, indeterminate, biochemical incomplete, or structural incomplete).

resultsBased on dynamic risk stratification strategy, structural disease was identified 3.9% in the excellent group, 9.7% in the indeterminate group, 76.9% in the biochemical incomplete group, and 100% in the structural incomplete group. The hazard ratios of the structural disease were 18.10 (P < 0.001) in the biochemical incomplete group, and 19.583 (P < 0.001) in the structural incomplete group compared to the excellent group. The prevalence of structural disease also increased as American Thyroid Association initial risk classification increased (5.9% in the low-risk group, 13.6% in the intermediate-risk group, and 45% in the high-risk group). The hazard ratios of structural disease in the high-risk group was 10.296 (P < 0.001) in compared to the low-risk group.

conclusionDynamic risk stratification based on patient responses to initial therapy was able to effectively predict the risk of structural disease in a pediatric population, and as a follow-up strategy, may work as well in pediatric differentiated thyroid cancer patients as it does in adult differentiated thyroid cancer patients.

Indexed as

AdolescentChildCombined Modality TherapyDisease-Free SurvivalFemaleHumansIodine RadioisotopesMaleNeoplasm MetastasisPredictive Value of TestsProportional Hazards ModelsRetrospective StudiesRisk AssessmentThyroidectomyThyroid NeoplasmsTreatment OutcomeIodine RadioisotopesDifferentiated thyroid cancerDynamic risk stratificationPediatric

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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.