Evidence map›Paper›PMID 36000060›Full record

ArticleLaryngoscope investigative otolaryngology2022

Clinical detection of "extremely low-risk" follicular thyroid carcinoma: A population-based study of 7304 patients.

Minh-Khang Le, Toru Odate, Huy Gia Vuong, Kunio Mochizuki, Tetsuo Kondo

Open access · goldAbstract read
In one paragraph

Article in Laryngoscope investigative otolaryngology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 29% 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, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

5 authors at 2 institutions in 2 countries.

Minh-Khang LeDepartment of Pathology University of Yamanashi Yamanashi Japan.ORCID https://orcid.org/0000-0002-4571-0888
Toru OdateDepartment of Pathology University of Yamanashi Yamanashi Japan.
Huy Gia VuongDepartment of Pathology Oklahoma University Health Sciences Center Oklahoma City Oklahoma USA.ORCID https://orcid.org/0000-0001-6213-765X
Kunio MochizukiDepartment of Pathology University of Yamanashi Yamanashi Japan.
Tetsuo KondoDepartment of Pathology University of Yamanashi Yamanashi Japan.
University of Yamanashi · JPOU Health

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Previous studies have not been consistent in the risk of metastasis in follicular thyroid carcinoma (FTC). Therefore, we conducted a large population study to stratify the risk of distant metastasis in FTC patients using only clinical parameters. Methods: We extracted FTC patients from The Surveillance, Epidemiology, and End Results (SEER) database and divided them into training and validation cohorts. Results: The two cohorts consisted of 4913 and 2391 patients, respectively. We developed a nomogram and risk table based on a logistic regression model using algorithm-selected variables. Receiver Operating Characteristic (ROC) analyses showed high discriminatory power in the training and validation cohorts (Area under the curve [AUC] of 0.85 and 0.84, respectively). Extremely low, low, intermediate, and high-risk groups had 0.3%, 1%, 3.5%, and 16.7% risk of distant metastasis, respectively. Conclusions: Our risk scoring table can separates patients into four risk groups and efficiently detect patients with almost no risk of metastasis.

Indexed as

follicular carcinomalow‐riskrisk stratificationSEERthyroidthyroiddistant metastasis

Identifiers

PMID36000060
PMCPMC9392379
OpenAlexW4282970792

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.