Evidence map›Paper›PMID 35456762›Full record

ArticleMicroorganisms2022

Efficient and Quality-Optimized Metagenomic Pipeline Designed for Taxonomic Classification in Routine Microbiological Clinical Tests.

Sylvie Buffet-Bataillon, Guillaume Rizk, Vincent Cattoir, Mohamed Sassi, Vincent Thibault, Jennifer Del Giudice, Jean-Pierre Gangneux

Open access · goldAbstract read
In one paragraph

Article in Microorganisms, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 19% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. 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

7 authors at 1 institution in 1 country.

Sylvie Buffet-BataillonInserm, Institut NUMECAN (Nutrition Metabolisms and Cancer), CHU Rennes, Univ Rennes, F-35000 Rennes, France.ORCID 0000-0003-0482-6945
Guillaume RizkILLUMINA, F-35000 Rennes, France.ORCID 0000-0002-1642-2625
Vincent CattoirInserm, U1230 (ARN Régulateurs Bactériens et Médecine), CHU Rennes, Univ Rennes, F-35000 Rennes, France.ORCID 0000-0003-4026-9912
Mohamed SassiInserm, U1230 (ARN Régulateurs Bactériens et Médecine), CHU Rennes, Univ Rennes, F-35000 Rennes, France.ORCID 0000-0002-0527-1171
Vincent ThibaultInserm, EHESP, IRSET (Institut de Recherche en Santé, Environnement et Travail)-UMR_S 1085, CHU Rennes, Univ Rennes, F-35000 Rennes, France.ORCID 0000-0001-6517-2901
Jennifer Del GiudiceILLUMINA, F-35000 Rennes, France.
Jean-Pierre GangneuxInserm, EHESP, IRSET (Institut de Recherche en Santé, Environnement et Travail)-UMR_S 1085, CHU Rennes, Univ Rennes, F-35000 Rennes, France.ORCID 0000-0002-4974-5607
Inserm · FR

Funding

Région Bretagne, France "Transfert de technologies des filières Santé et Biotechnologies" 2018
6 · The paper itself

Abstract

Metagenomics analysis is now routinely used for clinical diagnosis in several diseases, and we need confidence in interpreting metagenomics analysis of microbiota. Particularly from the side of clinical microbiology, we consider that it would be a major milestone to further advance microbiota studies with an innovative and significant approach consisting of processing steps and quality assessment for interpreting metagenomics data used for diagnosis. Here, we propose a methodology for taxon identification and abundance assessment of shotgun sequencing data of microbes that are well fitted for clinical setup. Processing steps of quality controls have been developed in order (i) to avoid low-quality reads and sequences, (ii) to optimize abundance thresholds and profiles, (iii) to combine classifiers and reference databases for best classification of species and abundance profiles for both prokaryotic and eukaryotic sequences, and (iv) to introduce external positive control. We find that the best strategy is to use a pipeline composed of a combination of different but complementary classifiers such as Kraken2/Bracken and Kaiju. Such improved quality assessment will have a major impact on the robustness of biological and clinical conclusions drawn from metagenomic studies.

Indexed as

Brackenclinical microbiologyKaijuKraken2metagenomicsmicrobiomemycobiomequality assessmentshotgunvirome

Identifiers

PMID35456762
PMCPMC9026403
OpenAlexW4220850067

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.