Evidence map›Paper›PMID 30717896›Full record

ReviewEndocrinology and metabolism clinics of North America2019

Genetic-guided Risk Assessment and Management of Thyroid Cancer.

Mingzhao Xing

Abstract readReview
In one paragraph

Review in Endocrinology and metabolism clinics of North America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

  1. Article
  2. Article
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  4. Article
  5. Review
  6. Article
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  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Dynamic risk assessment in patients with differentiated thyroid cancer.Reviews in endocrine & metabolic disorders · 2024
    Review
  15. Article
  16. Article
  17. Article
  18. Article
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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

1 author.

Mingzhao XingDivision of Endocrinology, Diabetes and Metabolism, Department of Medicine, Johns Hopkins University School of Medicine, 1830 East Monument Street, Suite 333, Baltimore, MD 21287, USA. Electronic address: mxing1@jhmi.edu.

Funding

TERT Promoter Mutations in Thyroid CancerR01CA189224 · NCI · JOHNS HOPKINS UNIVERSITY · PI XING, MICHAEL MINGZHAO · 2015 to 2019
$1.8M
Molecular Events in the PI3K/Akt Pathway in Thyroid CancerR01CA134225 · NCI · JOHNS HOPKINS UNIVERSITY · PI XING, MICHAEL MINGZHAO · 2009 to 2013
$1.6M
Molecular Events in the PI3K/AKT Pathway in Thyroid CancerR01CA215142 · NCI · JOHNS HOPKINS UNIVERSITY · PI XING, MICHAEL MINGZHAO · 2018 to 2019
$723k
NCI NIH HHS R01 CA134225NCI NIH HHS R01 CA189224NCI NIH HHS R01 CA215142
6 · The paper itself

Abstract

Controversies exist on how to optimally manage thyroid cancer because the prognosis is often uncertain based on clinical backgrounds. This can now be helped with prognostic genetic markers in thyroid cancer, exemplified by BRAF V600E and TERT promoter mutations, which have been well characterized and widely appreciated. The genetic duet of BRAF V600E/RAS and TERT promoter mutations is a most robust prognostic genetic pattern for poor prognosis of differentiated thyroid cancer. The high negative predictive values of the prognostic genetic markers are equally valuable. The best prognostic value of genetic markers in thyroid cancer is achieved through a clinical risk level-based and genotype-individualized manner.

Indexed as

Biomarkers, TumorRisk AssessmentHumansThyroid NeoplasmsBiomarkers, TumorBRAF V600E mutationGenetic molecular markerPrognosisRAS mutationRisk stratificationTERT promoter MutationThyroid cancer

Identifiers

PMID30717896
PMCPMC6447365

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.