Evidence map›Paper›PMID 35464955›Full record

ArticleFrontiers in microbiology2022

Prospective Comparison Between Shotgun Metagenomics and Sanger Sequencing of the 16S rRNA Gene for the Etiological Diagnosis of Infections.

Claudie Lamoureux, Laure Surgers, Vincent Fihman, Guillaume Gricourt, Vanessa Demontant, Elisabeth Trawinski, Melissa N'Debi, Camille Gomart, Guilhem Royer, Nathalie Launay and 8 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
5.3field-weighted citation impact, top 3% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

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  14. Novel Diagnostic Methods for Infective Endocarditis.International journal of molecular sciences · 2024
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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

18 authors at 6 institutions in 1 country.

Claudie LamoureuxMicrobiology Unit, Department of Diagnostic, Prevention and Treatment of Infections, Henri Mondor Hospital, AP-HP, University of Paris-Est-Créteil, Créteil, France.
Laure SurgersGHU AP-HP Sorbonne Université, Service des Maladies Infectieuses et Tropicales, Hôpital Saint-Antoine, Paris, France.
Vincent FihmanMicrobiology Unit, Department of Diagnostic, Prevention and Treatment of Infections, Henri Mondor Hospital, AP-HP, University of Paris-Est-Créteil, Créteil, France.
Guillaume GricourtNGS Platform, Henri Mondor Hospital, AP-HP, and IMRB Institute, University of Paris-Est-Créteil, Créteil, France.
Vanessa DemontantNGS Platform, Henri Mondor Hospital, AP-HP, and IMRB Institute, University of Paris-Est-Créteil, Créteil, France.
Elisabeth TrawinskiNGS Platform, Henri Mondor Hospital, AP-HP, and IMRB Institute, University of Paris-Est-Créteil, Créteil, France.
Melissa N'DebiNGS Platform, Henri Mondor Hospital, AP-HP, and IMRB Institute, University of Paris-Est-Créteil, Créteil, France.
Camille GomartMicrobiology Unit, Department of Diagnostic, Prevention and Treatment of Infections, Henri Mondor Hospital, AP-HP, University of Paris-Est-Créteil, Créteil, France.
Guilhem RoyerMicrobiology Unit, Department of Diagnostic, Prevention and Treatment of Infections, Henri Mondor Hospital, AP-HP, University of Paris-Est-Créteil, Créteil, France.
Nathalie LaunayMicrobiology Unit, Department of Diagnostic, Prevention and Treatment of Infections, Henri Mondor Hospital, AP-HP, University of Paris-Est-Créteil, Créteil, France.
Jeanne-Marie Le GlaunecMicrobiology Unit, Department of Diagnostic, Prevention and Treatment of Infections, Henri Mondor Hospital, AP-HP, University of Paris-Est-Créteil, Créteil, France.
Charlotte WemmertAntimicrobial Stewardship Unit, Diagnostic, Prevention and Treatment of Infections Department, Henri Mondor Hospital, AP-HP, University of Paris-Est-Créteil, Créteil, France.
Giulia La MartireAntimicrobial Stewardship Unit, Diagnostic, Prevention and Treatment of Infections Department, Henri Mondor Hospital, AP-HP, University of Paris-Est-Créteil, Créteil, France.
Geoffrey RossiAntimicrobial Stewardship Unit, Diagnostic, Prevention and Treatment of Infections Department, Henri Mondor Hospital, AP-HP, University of Paris-Est-Créteil, Créteil, France.
Raphaël LepeuleAntimicrobial Stewardship Unit, Diagnostic, Prevention and Treatment of Infections Department, Henri Mondor Hospital, AP-HP, University of Paris-Est-Créteil, Créteil, France.
Jean-Michel PawlotskyMicrobiology Unit, Department of Diagnostic, Prevention and Treatment of Infections, Henri Mondor Hospital, AP-HP, University of Paris-Est-Créteil, Créteil, France.
Christophe RodriguezMicrobiology Unit, Department of Diagnostic, Prevention and Treatment of Infections, Henri Mondor Hospital, AP-HP, University of Paris-Est-Créteil, Créteil, France.
Paul-Louis WoertherMicrobiology Unit, Department of Diagnostic, Prevention and Treatment of Infections, Henri Mondor Hospital, AP-HP, University of Paris-Est-Créteil, Créteil, France.
Université Paris-Est Créteil · FRHôpitaux Universitaires Henri-Mondor · FRParis-Est Sup · FRAssistance Publique – Hôpitaux de Paris · FRCentre d'Immunologie et des Maladies Infectieuses · FRGénétique, Génomique Fonctionnelle et Biotechnologies · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacteriological diagnosis is traditionally based on culture. However, this method may be limited by the difficulty of cultivating certain species or by prior exposure to antibiotics, which justifies the resort to molecular methods, such as Sanger sequencing of the 16S rRNA gene (Sanger 16S). Recently, shotgun metagenomics (SMg) has emerged as a powerful tool to identify a wide range of pathogenic microorganisms in numerous clinical contexts. In this study, we compared the performance of SMg to Sanger 16S for bacterial detection and identification. All patients' samples for which Sanger 16S was requested between November 2019 and April 2020 in our institution were prospectively included. The corresponding samples were tested with a commercial 16S semi-automated method and a semi-quantitative pan-microorganism DNA- and RNA-based SMg method. Sixty-seven samples from 64 patients were analyzed. Overall, SMg was able to identify a bacterial etiology in 46.3% of cases (31/67) vs. 38.8% (26/67) with Sanger 16S. This difference reached significance when only the results obtained at the species level were compared (28/67 vs. 13/67). This study provides one of the first evidence of a significantly better performance of SMg than Sanger 16S for bacterial detection at the species level in patients with infectious diseases for whom culture-based methods have failed. This technology has the potential to replace Sanger 16S in routine practice for infectious disease diagnosis.

Indexed as

microbial documentationmolecular diagnosticpathogen identificationSanger sequencing of the 16S rRNA geneshotgun metagenomics

Identifiers

PMID35464955
PMCPMC9020828
OpenAlexW4225562649

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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.