Evidence map›Paper›PMID 29038786›Full record

ReviewInternational journal of genomics2017

MicroRNAs as Biomarkers in Thyroid Carcinoma.

Marilena Celano, Francesca Rosignolo, Valentina Maggisano, Valeria Pecce, Michelangelo Iannone, Diego Russo, Stefania Bulotta

Open access · goldAbstract readReview
In one paragraph

Review in International journal of genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 1 pooled it
4.2field-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

58 citing papers in PubMed, 1 synthesis or guideline pooled it, 103 citations in OpenAlex.

  1. Guideline
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  13. The role of miR-139-5p in radioiodine-resistant thyroid cancer.Journal of endocrinological investigation · 2023
    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

7 authors at 3 institutions in 1 country.

Marilena CelanoDepartment of Health Sciences, Magna Graecia University of Catanzaro, 88100 Catanzaro, Italy.
Francesca RosignoloDepartment of Internal Medicine and Medical Specialties, Sapienza University of Rome, 00161 Rome, Italy.
Valentina MaggisanoDepartment of Health Sciences, Magna Graecia University of Catanzaro, 88100 Catanzaro, Italy.
Valeria PecceDepartment of Internal Medicine and Medical Specialties, Sapienza University of Rome, 00161 Rome, Italy.
Michelangelo IannoneCNR, Institute of Neurological Sciences, Section of Pharmacology, Roccelletta di Borgia, 88021 Borgia, Italy.
Diego RussoDepartment of Health Sciences, Magna Graecia University of Catanzaro, 88100 Catanzaro, Italy.
Stefania BulottaDepartment of Health Sciences, Magna Graecia University of Catanzaro, 88100 Catanzaro, Italy.ORCID 0000-0002-9033-5976
Magna Graecia University · ITSapienza University of Rome · ITInstitute of Neurological Sciences · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Optimal management of patients with thyroid cancer requires the use of sensitive and specific biomarkers. For early diagnosis and effective follow-up, the currently available cytological and serum biomarkers, thyroglobulin and calcitonin, present severe limitations. Research on microRNA expression in thyroid tumors is providing new insights for the development of novel biomarkers that can be used to diagnose thyroid cancer and optimize its management. In this review, we will examine some of the methods commonly used to detect and quantify microRNA in biospecimens from patients with thyroid tumor, as well as the potential applications of these techniques for developing microRNA-based biomarkers for the diagnosis and prognostic evaluation of thyroid cancers.

Identifiers

PMID29038786
PMCPMC5606057
OpenAlexW2753389099

What OpenQuestion holds

Textmetadata
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.