Evidence map›Paper›PMID 29574528›Full record

ArticleJournal of endocrinological investigation2019

MicroRNA expression profile of thyroid nodules in fine-needle aspiration cytology: a confirmatory series.

M G Castagna, C Marzocchi, T Pilli, R Forleo, F Pacini, S Cantara

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In one paragraph

Article in Journal of endocrinological investigation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 17% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

M G CastagnaDepartment of Medical, Surgical and Neurological Sciences, University of Siena, Siena, Italy.
C MarzocchiDepartment of Medical, Surgical and Neurological Sciences, University of Siena, Siena, Italy.
T PilliDepartment of Medical, Surgical and Neurological Sciences, University of Siena, Siena, Italy.
R ForleoDepartment of Medical, Surgical and Neurological Sciences, University of Siena, Siena, Italy.
F PaciniDepartment of Medical, Surgical and Neurological Sciences, University of Siena, Siena, Italy.
S CantaraDepartment of Medical, Surgical and Neurological Sciences, University of Siena, Siena, Italy. cantara@unisi.it.
University of Siena · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMiRNAs are small endogenous non-coding RNAs implicated with gene expression regulation. Changes in miRNA levels have been reported in thyroid cancer. Fine-needle aspiration cytology (FNAC) is the most reliable tool for differential diagnosis of thyroid nodules.

methodsWe have analyzed 174 FNAC from 168 patients with thyroid nodules for expression levels of 11 miRNAs (miRNA197; -187; -181b-3p; -181b-5p; -224; -181a; 146b; -221; -222; -155 and miRNA183) known to be up-regulated in cancer tissues compared to benign lesions. Expression of miRNAs was analyzed in FNA samples calculating the fold change of miRNA expression relative to normal thyroid tissue after normalization to an endogenous control.

resultsIn FNAC, miRNA expression was confirmed to be higher in malignant or suspicious for malignancy nodules compared to benign, only for miRNA146b, -222 and -221 (fold change expression ≥ 5).

conclusionIn this study, we confirmed that a limited set of miRNAs can be used for the differential diagnosis of thyroid nodules.

Indexed as

Biopsy, Fine-NeedleCytological TechniquesGene Expression ProfilingHumansReproducibility of ResultsThyroid NeoplasmsThyroid NoduleFine-needle aspiration cytologymiRNA146bmiRNA221miRNA222Thyroid cancer

Identifiers

PMID29574528
OpenAlexW2789719977

What OpenQuestion holds

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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.