Evidence map›Paper›PMID 30729678›Full record

ArticleJournal of cellular and molecular medicine2019

Development of a risk scoring system for patients with papillary thyroid cancer.

Kyoungjune Pak, Yun Hak Kim, Sunghwan Suh, Tae Sik Goh, Dae Cheon Jeong, Seong Jang Kim, In Joo Kim, Myoung-Eun Han, Sae-Ock Oh

Abstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

  1. Pooled it
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  9. Oncology letters · 2019
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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

9 authors.

Kyoungjune PakDepartment of Nuclear Medicine and Biomedical Research Institute, Pusan National University Hospital, Busan, Republic of Korea.
Yun Hak KimDepartment of Anatomy and Department of Biomedical Informatics, School of Medicine, Pusan National University, Yangsan, Republic of Korea.ORCID 0000-0002-9796-8266
Sunghwan SuhDepartment of Internal Medicine, Dong-A University College of Medicine, Busan, Republic of Korea.
Tae Sik GohDepartment of Orthopaedic Surgery and Biomedical Research Institute, Pusan National University Hospital, Busan, Republic of Korea.
Dae Cheon JeongDeloitte Analytics Group, Deloitte Consulting LLC, Republic of Korea.
Seong Jang KimDepartment of Nuclear Medicine and Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea.
In Joo KimDepartment of Nuclear Medicine and Biomedical Research Institute, Pusan National University Hospital, Busan, Republic of Korea.
Myoung-Eun HanDepartment of Anatomy, School of Medicine, Pusan National University, Yangsan, Republic of Korea.
Sae-Ock OhDepartment of Anatomy, School of Medicine, Pusan National University, Yangsan, Republic of Korea.ORCID 0000-0002-9365-7831

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the importance of personalized therapeutics in aggressive papillary thyroid cancer (PTC) increases, accurate risk stratification is required. To develop a novel prognostic scoring system for patients with PTC (n = 455), we used mRNA expression and clinical data from The Cancer Genome Atlas. We performed variable selection using Network-Regularized high-dimensional Cox-regression with gene network from pathway databases. The risk score was calculated using a linear combination of regression coefficients and mRNA expressions. The risk score and clinical variables were assessed by several survival analyses. The risk score showed high discriminatory power for the prediction of event-free survival as well as the presence of metastasis. In multivariate analysis, the risk score and presence of metastasis were significant risk factors among the clinical variables that were examined together. In the current study, we developed a risk scoring system that will help to identify suitable therapeutic options for PTC.

Indexed as

NomogramsBiomarkers, TumorFemaleFollow-Up StudiesGene Expression ProfilingGene Expression Regulation, NeoplasticHumansIncidenceMaleMiddle AgedPrognosisRepublic of KoreaRisk AssessmentSurvival RateThyroid Cancer, PapillaryThyroid NeoplasmsBiomarkers, Tumornetwork-regularized high dimensional cox regressionpapillary thyroid cancerpathway databasesprognosisTCGA

Identifiers

PMID30729678
PMCPMC6433682

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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.