Evidence map›Paper›PMID 22304369›Full record

ArticleThyroid : official journal of the American Thyroid Association2012

Evaluation of candidate diagnostic microRNAs in thyroid fine-needle aspiration biopsy samples.

Mio Kitano, Reza Rahbari, Erin E Patterson, Seth M Steinberg, Nijaguna B Prasad, Yongchun Wang, Martha A Zeiger, Electron Kebebew

Abstract read
In one paragraph

Article in Thyroid : official journal of the American Thyroid Association, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
4.9field-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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 72 citations in OpenAlex.

  1. Pooled it
  2. Diagnostic value of microRNAs in discriminating malignant thyroid nodules from benign ones on fine-needle aspiration samples.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Pooled it
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  16. Clinical Potential of microRNA-7 in Cancer.Journal of clinical medicine · 2015
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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

8 authors at 2 institutions in 1 country.

Mio KitanoEndocrine Oncology Section, Surgery Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA.
Reza Rahbari
Erin E Patterson
Seth M Steinberg
Nijaguna B Prasad
Yongchun Wang
Martha A Zeiger
Electron Kebebew
National Institutes of Health · USNational Cancer Institute · US

Funding

Office of Collaborative BiostatisticsZIDSC007202 · NCI · DIVISION OF CLINICAL SCIENCES - NCI · PI CHOO-WOSOBA, HYOYOUNG · 2009 to 2025
$14.5M
Intramural NIH HHS
6 · The paper itself

Abstract

backgroundThyroid cancer diagnosis in the United States has increased by 2.3-folds in the last three decades. Up to 30% of thyroid fine-needle aspiration biopsy (FNAB) results are inconclusive. Several differentially expressed microRNAs (miRNAs) have been identified as candidate diagnostic markers for thyroid nodules. We hypothesized that these differentially expressed miRNAs may improve the accuracy of FNAB in difficult to diagnose thyroid nodules.

methodsExpression levels of four miRNAs (miR-7, -126, -374a, and let-7g) were analyzed using quantitative real-time reverse transcription-polymerase chain reaction in 95 FNAB samples as the training set. A predictor model was formulated based on the most differentially expressed miRNA (miR-7) ΔCt value and the model was applied on a separate cohort of 59 FNAB samples as the validation set.

resultsmiR-7 was the best predictor to distinguish benign from malignant thyroid FNAB samples. The other three miRNAs were co-expressed and did not significantly contribute to the predictor model. miR-7 had a sensitivity of 100%, specificity of 29%, positive predictive value (PPV) of 36%, negative predictive value (NPV) of 100%, and overall accuracy of 76% when applied to the validation set. In subgroup analysis of preoperative nondiagnostic, indeterminate, or suspicious FNAB samples, the predictor model had an overall accuracy of 37% with sensitivity of 100%, specificity of 20%, PPV of 25%, and NPV of 100%.

conclusionsmiR-7 may be a helpful adjunct marker to thyroid FNAB in tumor types which are inconclusive. Given the high NPV of miR-7, a patient with a benign result based on the predictor model may be followed as opposed to performing an immediate diagnostic thyroidectomy. Future prospective clinical trials evaluating its accuracy in a larger cohort are warranted to determine its clinical utility.

Indexed as

AdultAgedAged, 80 and overBiopsy, Fine-NeedleFemaleHumansMaleMicroRNAsMiddle AgedMolecular Diagnostic TechniquesPredictive Value of TestsReal-Time Polymerase Chain ReactionSensitivity and SpecificityThyroid NeoplasmsThyroid NoduleMicroRNAsMIRN126 microRNA, humanMIRN7-1 microRNA, human

Identifiers

PMID22304369
PMCPMC3286806
OpenAlexW2085902447

What OpenQuestion holds

Textmetadata
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.