Evidence map›Paper›PMID 40277745›Full record

ArticleCurrent oncology (Toronto, Ont.)2025

Predictive Factors for Malignancy in Atypiai of Undetermined Significance (AUS) Thyroid Nodules: A Comprehensive Retrospective Analysis.

Samet Şahin, Hikmet Pehlevan Özel, Yunus Nadi Yüksek

Abstract read
In one paragraph

Article in Current oncology (Toronto, Ont.), 2025. 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
–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

3 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

3 authors.

Samet ŞahinSchool of Medicine, Muğla Sıtkı Koçman University, Muğla 48121, Türkiye.ORCID 0000-0003-0748-3458
Hikmet Pehlevan ÖzelAnkara Bilkent City Hospital, Ankara 06800, Türkiye.ORCID 0000-0002-9146-3742
Yunus Nadi YüksekAnkara Bilkent City Hospital, Ankara 06800, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This retrospective study aimed to identify predictive factors for malignancy in thyroid nodules classified as atypia or follicular lesion of undetermined significance (AUS/FLUS). The analysis included 165 patients who underwent thyroid nodule surgery at Ankara Numune Training and Research Hospital. Data on demographics, surgical procedures, ultrasonographic features, and pathology results were extracted and analyzed. The cohort consisted predominantly of women (79.39%) with a mean age of 46.68 years. Surgeries performed included total thyroidectomy (88%), total thyroidectomy with central lymph node dissection (6%), and modified radical neck dissection (3%). Malignancies, largely papillary thyroid carcinoma (PTC), were identified in 81 cases. Univariate analysis revealed significant associations between malignancy and ultrasonographic features like calcification, spiculated margins, and nuclear inclusions. Multivariate analysis pinpointed calcification as the only independent risk factor. Histopathological findings indicated heterogeneity within malignancies, noting lymphovascular and capsular invasion in PTC cases. These findings emphasize calcification as a key predictor of malignancy in AUS thyroid nodules and underscore the role of surgical intervention in this challenging diagnostic category, contributing to enhanced risk stratification and clinical decision-making for managing AUS/FLUS thyroid nodules.

Indexed as

Thyroid NeoplasmsThyroid NoduleAdultAgedFemaleHumansMaleMiddle AgedRetrospective StudiesRisk FactorsThyroid Cancer, PapillaryThyroidectomyatypia of undetermined significance (AUS)calcificationfine-needle aspiration biopsy (FNAB)malignancy predictionpapillary thyroid carcinoma (PTC)thyroid nodules

Identifiers

PMID40277745
PMCPMC12026228

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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.