Evidence map›Paper›PMID 27936121›Full record

ArticlePloS one2016

Impact of Reclassification on Thyroid Nodules with Architectural Atypia: From Non-Invasive Encapsulated Follicular Variant Papillary Thyroid Carcinomas to Non-Invasive Follicular Thyroid Neoplasm with Papillary-Like Nuclear Features.

Min Ji Jeon, Dong Eun Song, Chan Kwon Jung, Won Gu Kim, Hyemi Kwon, Yu-Mi Lee, Tae-Yon Sung, Jong Ho Yoon, Ki-Wook Chung, Suck Joon Hong and 5 more

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. 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

15 authors.

Min Ji JeonDepartment of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Dong Eun SongDepartment of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Chan Kwon JungDepartment of Hospital Pathology, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Won Gu KimDepartment of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Hyemi KwonDepartment of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Yu-Mi LeeDepartment of Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Tae-Yon SungDepartment of Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Jong Ho YoonDepartment of Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Ki-Wook ChungDepartment of Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Suck Joon HongDepartment of Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Jung Hwan BaekDepartment of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Jeong Hyun LeeDepartment of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Tae Yong KimDepartment of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Young Kee ShongDepartment of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Won Bae KimDepartment of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe follicular variant of papillary thyroid cancer (FVPTC), especially the encapsulated non-invasive subtype, is a controversial entity. Recent study suggested using 'non-invasive follicular thyroid neoplasm with papillary-like nuclear features (NIFTP)' for these indolent carcinomas. We evaluated the impact of reclassification from non-invasive encapsulated FVPTCs (EFVPTCs) to NIFTPs in the diagnosis of thyroid nodules with architectural atypia.

methodsWe reviewed 1301 thyroid nodules with architectural atypia in core needle biopsy (CNB) specimens obtained from March 2012 to February 2013. Nodules were classified into atypia of undetermined significance with architectural atypia (AUS-A, 984, 76%) or follicular neoplasm/suspicious for a follicular neoplasm (FN/SFN, 317, 24%). Among them, diagnostic surgery was performed in 384 nodules (30%).

resultsIn total, 160 nodules (42%) presented final malignant diagnoses including 39 non-invasive encapsulated FVPTCs (10%). The malignancy rate was estimated to be 7-35% in AUS-A nodules and 28-49% in FN/SFN nodules. After reclassification, the malignancy rate was much decreased and estimated to be 5-24% in AUS-A nodules, and 23-39% in FN/SFN nodules. Thyroid nodules with final malignant diagnoses were significantly more likely to have a FN/SFN CNB diagnosis, malignant US features and concomitant nuclear atypia in CNB specimens. However, these factors could not differentiate NIFTPs from other malignancies.

conclusionsAfter reclassification of non-invasive EFVPTCs to NIFTPs, the malignancy rate of thyroid nodules with architectural atypia in CNB specimens was decreased. However, there were no preoperative factors differentiating other malignancies from NIFTPs. The presence of malignant US features or concomitant nuclear atypia might help clinicians deciding diagnostic surgery but, these features also might indicate NIFTPs.

Indexed as

Adenocarcinoma, FollicularAdultCarcinomaCarcinoma, PapillaryFemaleHumansMaleMiddle AgedNeoplasm InvasivenessThyroid Cancer, PapillaryThyroid GlandThyroid NeoplasmsThyroid Nodule

Identifiers

PMID27936121
PMCPMC5147963

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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.