Evidence map›Paper›PMID 32121086›Full record

ArticleDiagnostics (Basel, Switzerland)2020

Analysis of Let-7 Family miRNA in Plasma as Potential Predictive Biomarkers of Diagnosis for Papillary Thyroid Cancer.

Ewelina Perdas, Robert Stawski, Krzysztof Kaczka, Maria Zubrzycka

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 15% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Pooled it
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  16. Non-coding RNA in cancer.Essays in biochemistry · 2021
    Review
  17. Review
  18. Opportunities and Challenges of Liquid Biopsy in Thyroid Cancer.International journal of molecular sciences · 2021
    Review
  19. Article
  20. Article
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

4 authors at 1 institution in 1 country.

Ewelina PerdasDepartment of Cardiovascular Physiology, Faculty of Medicine, Medical University of Lodz, 90-647 Lodz, Poland.
Robert StawskiDepartment of Clinical Physiology, Faculty of Medicine, Medical University of Lodz, 90-647 Lodz, Poland.
Krzysztof KaczkaDepartment of General and Oncological Surgery, Medical University of Lodz, 90-647 Lodz, Poland.
Maria ZubrzyckaDepartment of Cardiovascular Physiology, Faculty of Medicine, Medical University of Lodz, 90-647 Lodz, Poland.
Medical University of Lodz · PL

Funding

Narodowe Centrum Nauki UMO-2018/29/N/NZ2/02015Uniwersytet Medyczny w Lodzi 503/1-079-03/503/-11-001-19-00
6 · The paper itself

Abstract

The most common histological type of thyroid cancer is papillary thyroid carcinoma (PTC). Radical resection of the thyroid gland is currently the recommended method of treatment. Almost 75% of thyroidectomies performed just for diagnostic purposes are benign. Thus, the confirmation of innovative and more precise noninvasive biomarkers holds promise for the detection of PTC, which may decrease the number of unnecessary thyroid lobectomies. In this work, using the droplet digital PCR (ddPCR) method, we have analyzed the level of five miRNAs (let-7a, let-7c, let-7d, let-7f, and let-7i) in the plasma of patients with PTC and compared them with those of a healthy control group to investigate whether miRNAs also have value in the management of PTC. Levels of four miRNAs, namely let-7a, let-7c, let-7d, and let-7f, were significantly higher in PTC patients than healthy controls. Thus, the analysis of circulating let-7 can be a useful tool and support the currently used methods for PTC diagnosis. However, our observation requires further research on a larger patient group.

Indexed as

ddPCRdiagnosticslet-7miRNAPTC

Identifiers

PMID32121086
PMCPMC7151036
OpenAlexW3007723015

What OpenQuestion holds

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LicenceCC BY
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.