Evidence map›Paper›PMID 23349525›Full record

ReviewMolecular endocrinology (Baltimore, Md.)2013

Minireview: miRomics in endocrinology: a novel approach for modeling endocrine diseases.

Péter M Szabó, Henriett Butz, Péter Igaz, Károly Rácz, László Hunyady, Attila Patócs

Abstract readReview
In one paragraph

Review in Molecular endocrinology (Baltimore, Md.), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Omics-Based Investigations of Breast Cancer.Molecules (Basel, Switzerland) · 2023
    Review
  2. Review
  3. Article
  4. Review
  5. Article
  6. Circulating miRNAs as biomarkers for endocrine disorders.Journal of endocrinological investigation · 2016
    Review
  7. Review
  8. Review
  9. Review
  10. Article
  11. 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

6 authors.

Péter M SzabóMolecular Medicine Research Group, Hungarian Academy of Sciences and Second Department of Medicine, Semmelweis University, 46 Szentkirályi Street, Budapest, Hungary H-1088.
Henriett Butz
Péter Igaz
Károly Rácz
László Hunyady
Attila Patócs

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) are small (16-24 nucleotides) noncoding RNAs that negatively regulate gene expression. Growing evidence demonstrates that miRNAs participate in the regulation of numerous physiological and pathological processes. The clinical utility of the cell-type-specific miRNA expression profile (miRomics) has been directly demonstrated in molecular classification of tumor samples and in prediction of prognosis or therapeutic responsiveness. Identification of the relevant miRNAs and their targets requires both in silico and molecular biological methods. In this review, we summarize the methodological arsenal used in miRNA-related research, and through our own data on adrenal tumors, we present how miRNA could be integrated into omics-based networks. The expanding knowledge obtained from miRNA research may lead to the development of novel diagnostic and treatment modalities in future.

Indexed as

EndocrinologyModels, BiologicalAnimalsEndocrine System DiseasesGene Expression RegulationHumansMicroRNAsRNA, MessengerMicroRNAsRNA, Messenger

Identifiers

PMID23349525
PMCPMC5416806

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.