Evidence map›Paper›PMID 25340592›Full record

ReviewCurrent opinion in oncology2015

Nonoperative management of low-risk differentiated thyroid carcinoma.

Yasuhiro Ito, Akira Miyauchi

Open access · greenAbstract readReview
In one paragraph

Review in Current opinion in oncology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
5.6field-weighted citation impact, top 4% 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

18 citing papers in PubMed, 71 citations in OpenAlex.

  1. Article
  2. Editorial: Does Every Thyroid Cancer Patient Need Surgery?Rambam Maimonides medical journal · 2022
    Article
  3. Comparison between 2015 ATA guidelines and Italian Consensus for DTC management. A commented report.Acta otorhinolaryngologica Italica : organo ufficiale della Societa italiana di otorinolaringologia e chirurgia cervico-facciale · 2022
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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

2 authors at 1 institution in 2 countries.

Yasuhiro ItoaDepartment of Surgery bClinical Trial Management Center, Kuma Hospital, Center for Excellence in Thyroid Care, Kobe, Japan.
Akira Miyauchi
Kuma Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewThe global incidence of small papillary thyroid carcinoma (PTC) is increasing remarkably, mostly due to the increased use of imaging studies worldwide. The issue of how to manage low-risk small PTC has become urgent. In this review, we focus on how to treat low-risk papillary thyroid microcarcinomas (PMCs; i.e., PTCs measuring ≤10 mm). RECENT

findingsStudies of large numbers of patients with low-risk PMC clarified that most of the PMCs did not grow or grew very slowly and were harmless. Active observations of these patients discriminated rare progressive cases from the majority. Surgery performed after the detection of progression signs was not too late, and surgery immediately after the detection and diagnosis of low-risk PMC may be overtreatment for most patients. Interestingly, low-risk PMCs in elderly patients were most unlikely to progress, in sharp contrast to clinical PTC. The reason for this phenomenon remains unknown. SUMMARY: Active observation without immediate surgery can be a leading alternative to the classical surgical treatment in the majority of the patients with low-risk PMC. It is not too late to perform surgery after the detection of progression signs for these patients. VIDEO ABSTRACT: http://links.lww.com/COON/A10

Indexed as

Carcinoma, PapillaryDisease ProgressionHumansThyroid NeoplasmsWatchful Waiting

Identifiers

PMID25340592
PMCPMC4255758
OpenAlexW1993537171

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.