Evidence map›Paper›PMID 34406360›Full record

SynthesisBioinformatics (Oxford, England)2022

Amanida: an R package for meta-analysis of metabolomics non-integral data.

Maria Llambrich, Eudald Correig, Josep Gumà, Jesús Brezmes, Raquel Cumeras

Open access · bronzeAbstract readMeta-Analysis
In one paragraph

Synthesis in Bioinformatics (Oxford, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 7 pooled it
1.7field-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

18 citing papers in PubMed, 7 syntheses or guidelines pooled it, 22 citations in OpenAlex.

  1. Pooled it
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  8. Article
  9. Network-based integration of metabolomics data from large-scale repositories.Metabolomics : Official journal of the Metabolomic Society · 2026
    Article
  10. Article
  11. Review
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  17. Urine NMR Metabolomics for Precision Oncology in Colorectal Cancer.International journal of molecular sciences · 2022
    Review
  18. Review
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

5 authors at 4 institutions in 2 countries.

Maria LlambrichDepartment of Electrical Electronic Engineering and Automation, Universitat Rovira i Virgili, IISPV, 43007 Tarragona, Spain.
Eudald CorreigDepartment of Biostatistics, Universitat Rovira i Virgili, 43201 Reus, Catalonia, Spain.
Josep GumàOncology Department, Hospital Universitari Sant Joan de Reus, Institut d'Investigació Sanitària Pere Virgili, Universitat Rovira i Virgili, 43204 Reus, Spain.
Jesús BrezmesDepartment of Electrical Electronic Engineering and Automation, Universitat Rovira i Virgili, IISPV, 43007 Tarragona, Spain.
Raquel CumerasDepartment of Electrical Electronic Engineering and Automation, Universitat Rovira i Virgili, IISPV, 43007 Tarragona, Spain.
Universidad Rovira i Virgili · ESHospital Universitari Sant Joan de Reus · ESInstitut d'Investigació Sanitària Pere Virgili · ESUniversity of California, Davis · US

Funding

AGAUR consolidated group 2017 SGR 1119Catalan AGAUR project 2018LLAV00072CERCA Programme/Generalitat de CatalunyaCOST Action 805 CA17118COST (European Cooperation in Science and TechnologyMarie Sklodowska-Curie grant 798038Spanish MINECO project Total2DChrom RTI2018-098577-B-C21URV PMF-PIPF program 2019PMF-PIPF-37
6 · The paper itself

Abstract

summaryThe combination, analysis and evaluation of different studies which try to answer or solve the same scientific question, also known as a meta-analysis, plays a crucial role in answering relevant clinical relevant questions. Unfortunately, metabolomics studies rarely disclose all the statistical information needed to perform a meta-analysis. Here, we present a meta-analysis approach using only the most reported statistical parameters in this field: P-value and fold-change. The P-values are combined via Fisher's method and fold-changes by averaging, both weighted by the study size (n). The amanida package includes several visualization options: a volcano plot for quantitative results, a vote plot for total regulation behaviours (up/down regulations) for each compound, and a explore plot of the vote-counting results with the number of times a compound is found upregulated or downregulated. In this way, it is very easy to detect discrepancies between studies at a first glance. AVAILABILITY AND IMPLEMENTATION: Amanida code and documentation are at CRAN and https://github.com/mariallr/amanida. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

MetabolomicsSoftware

Identifiers

PMID34406360
PMCPMC8722753
OpenAlexW3193578901

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.