Evidence map›Paper›PMID 32615728›Full record

SynthesisEndocrinology and metabolism (Seoul, Korea)2020

Development and Validation of a Risk Scoring System Derived from Meta-Analyses of Papillary Thyroid Cancer.

Sunghwan Suh, Tae Sik Goh, Yun Hak Kim, Sae-Ock Oh, Kyoungjune Pak, Ju Won Seok, In Joo Kim

Erratum issuedOpen access · diamondAbstract readMeta-Analysis
In one paragraph

Synthesis in Endocrinology and metabolism (Seoul, Korea), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 41% 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

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

  1. InvestigatingFrontiers in oncology · 2021
    Pooled it
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 1 country.

Sunghwan SuhDepartment of Internal Medicine, Dong-A University College of Medicine, Busan, Korea.
Tae Sik GohDepartment of Orthopaedic Surgery and Biomedical Research Institute, Pusan National University Hospital, Busan, Korea.
Yun Hak KimDepartment of Anatomy, Pusan National University School of Medicine, Yangsan, Korea.
Sae-Ock OhDepartment of Anatomy, Pusan National University School of Medicine, Yangsan, Korea.
Kyoungjune PakDepartment of Nuclear Medicine and Biomedical Research Institute, Pusan National University Hospital, Busan, Korea.
Ju Won SeokDepartment of Nuclear Medicine, Chung-Ang University College of Medicine, Seoul, Korea.
In Joo KimDepartment of Nuclear Medicine and Biomedical Research Institute, Pusan National University Hospital, Busan, Korea.
Pusan National University Hospital · KRPusan National University · KRChung-Ang University · KRDong-A University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study was to develop a scoring system to stratify the risk of papillary thyroid cancer (PTC) and to select the proper management.

methodsWe performed a systematic search of MEDLINE and Embase. Data regarding patients' prognoses were obtained from the included studies. Odds ratios (ORs) with statistical significance were extracted from the publications. To generate a risk scoring system (RSS), ORs were summed (RSS1), and summed after natural-logarithmic transformation (RSS2). RSS1 and RSS2 were compared to the eighth edition of the American Joint Committee on Cancer (AJCC) staging system and the 2015 American Thyroid Association (ATA) guidelines for thyroid nodules and differentiated thyroid carcinoma.

resultsFive meta-analyses were eligible for inclusion in the study. Eight variables (sex, tumour size, extrathyroidal extension, BRAF mutation, TERT mutation, histologic subtype, lymph node metastasis, and distant metastasis) were included. RSS1 was the best of the analysed models.

conclusionWe developed and validated a new RSS derived from previous meta-analyses for patients with PTC. This RSS seems to be superior to previously published systems.

Indexed as

Biomarkers, TumorCarcinoma, PapillaryHumansLymphatic MetastasisPrognosisRisk FactorsThyroid NeoplasmsValidation Studies as TopicBiomarkers, TumorPrognosisRecurrenceThyroid cancer, papillary

Identifiers

PMID32615728
PMCPMC7386116
OpenAlexW3039225815

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.