Evidence map›Paper›PMID 29276692›Full record

ArticleBiomolecular detection and quantification2018

Small sample sizes in high-throughput miRNA screens: A common pitfall for the identification of miRNA biomarkers.

M G M Kok, M W J de Ronde, P D Moerland, J M Ruijter, E E Creemers, S J Pinto-Sietsma

Abstract read
In one paragraph

Article in Biomolecular detection and quantification, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 1 pooled it
–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

64 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Effect of Topical Corticosteroid Treatment on microRNA Expression in Infants with Atopic Dermatitis.JID innovations : skin science from molecules to population health · 2025
    Article
  8. Article
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  14. Beyond the Bubble: A Debate on microRNA Sorting Into Extracellular Vesicles.Laboratory investigation; a journal of technical methods and pathology · 2025
    Review
  15. Article
  16. Article
  17. Article
  18. Observational
  19. Review
  20. Article

4 more citing papers are in PubMed but not listed here.

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.

M G M KokDepartments of Vascular Medicine, University of Amsterdam, Amsterdam, The Netherlands.
M W J de RondeDepartments of Vascular Medicine, University of Amsterdam, Amsterdam, The Netherlands.
P D MoerlandDepartments of Clinical Epidemiology, Biostatistics and Bioinformatics, University of Amsterdam, Amsterdam, The Netherlands.
J M RuijterDepartments of Anatomy, Embryology and Physiology, University of Amsterdam, Amsterdam, The Netherlands.
E E CreemersDepartments of Experimental Cardiology, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
S J Pinto-SietsmaDepartments of Vascular Medicine, University of Amsterdam, Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the discovery of microRNAs (miRNAs), circulating miRNAs have been proposed as biomarkers for disease. Consequently, many groups have tried to identify circulating miRNA biomarkers for various types of diseases including cardiovascular disease and cancer. However, the replicability of these experiments has been disappointingly low. In order to identify circulating miRNA candidate biomarkers, in general, first an unbiased high-throughput screen is performed in which a large number of miRNAs is detected and quantified in the circulation. Because these are costly experiments, many of such studies have been performed using a low number of study subjects (small sample size). Due to lack of power in small sample size experiments, true effects are often missed and many of the detected effects are wrong. Therefore, it is important to have a good estimate of the appropriate sample size for a miRNA high-throughput screen. In this review, we discuss the effects of small sample sizes in high-throughput screens for circulating miRNAs. Using data from a miRNA high-throughput experiment on isolated monocytes, we illustrate that the implementation of power calculations in a high-throughput miRNA discovery experiment will avoid unnecessarily large and expensive experiments, while still having enough power to be able to detect clinically important differences.

Indexed as

ArrayBiomarkersHigh-throughput screensMethodologyMicroRNASmall sample size error

Identifiers

PMID29276692
PMCPMC5737945

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.