Evidence map›Paper›PMID 35681127›Full record

SynthesisBMC cancer2022

Meta-analysis of diagnostic cell-free circulating microRNAs for breast cancer detection.

Emir Sehovic, Sara Urru, Giovanna Chiorino, Philipp Doebler

Abstract readMeta-Analysis
In one paragraph

Synthesis in BMC cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 3 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

16 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

4 authors.

Emir SehovicCancer Genomics Lab, Fondazione Edo ed Elvo Tempia, 13900, Biella, Italy. emir.sehovic@unito.it.
Sara UrruCancer Genomics Lab, Fondazione Edo ed Elvo Tempia, 13900, Biella, Italy.
Giovanna ChiorinoCancer Genomics Lab, Fondazione Edo ed Elvo Tempia, 13900, Biella, Italy.
Philipp DoeblerDepartment of Statistics, TU Dortmund University, 44227, Dortmund, Germany.

Funding

H2020 Marie Skłodowska-Curie Actions 859860
6 · The paper itself

Abstract

backgroundBreast cancer (BC) is the most frequently diagnosed cancer among women. Numerous studies explored cell-free circulating microRNAs as diagnostic biomarkers of BC. As inconsistent and rarely intersecting microRNA panels have been reported thus far, we aim to evaluate the overall diagnostic performance as well as the sources of heterogeneity between studies.

methodsBased on the search of three online search engines performed up to March 21

resultsPooled sensitivity and specificity of 0.85 [0.81-0.88] and 0.83 [0.79-0.87] were obtained, respectively. Subgroup analysis showed a significantly better performance of multiple (sensitivity: 0.90 [0.86-0.93]; specificity: 0.86 [0.80-0.90]) vs single (sensitivity: 0.82 [0.77-0.86], specificity: 0.83 [0.78-0.87]) microRNA panels and a comparable pooled diagnostic performance between studies using serum (sensitivity: 0.87 [0.81-0.91]; specificity: 0.83 [0.78-0.87]) and plasma (sensitivity: 0.83 [0.77-0.87]; specificity: 0.85 [0.78-0.91]) as specimen type. In addition, based on bivariate and univariate analyses, miRNA(s) based on endogenous normalizers tend to have a higher diagnostic performance than miRNA(s) based on exogenous ones. Moreover, a slight tendency of studies to prefer specificity over sensitivity was observed.

conclusionsIn this study the diagnostic ability of circulating microRNAs to diagnose BC was reaffirmed. Nonetheless, some subgroup analyses showed between-study heterogeneity. Finally, lack of standardization and of result reproducibility remain the biggest issues regarding the diagnostic application of circulating cell-free microRNAs.

Indexed as

Breast NeoplasmsCirculating MicroRNAMicroRNAsBiomarkers, TumorFemaleHumansReproducibility of ResultsSensitivity and SpecificityBiomarkers, TumorCirculating MicroRNAMicroRNAsBreast cancerCirculating cell-freeDiagnosticMeta-analysismiRNAs

Identifiers

PMID35681127
PMCPMC9178880

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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.