Evidence map›Paper›PMID 34328626›Full record

SynthesisDrugs2021

The Potential Role of Clinical Metagenomics in Infectious Diseases: Therapeutic Perspectives.

Camille d'Humières, Maud Salmona, Sarah Dellière, Stefano Leo, Christophe Rodriguez, Cécile Angebault, Alexandre Alanio, Slim Fourati, Vladimir Lazarevic, Paul-Louis Woerther and 2 more

Abstract readSystematic Review
In one paragraph

Synthesis in Drugs, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Analysis of metagenomic data.Nature reviews. Methods primers · 2025
    Article
  11. Article
  12. Review
  13. Nanopore R10.4 metagenomic detection of blaNature communications · 2024
    Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Review
  19. Review
  20. Article
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

12 authors.

Camille d'HumièresUniversité de Paris, IAME, INSERM, 75018, Paris, France.
Maud SalmonaUnité de Paris, INSERM U976, Insight Team, 75010, Paris, France.
Sarah DellièreAP-HP, Hôpital Saint-Louis, Laboratoire de Parasitologie-Mycologie, 75010, Paris, France.
Stefano LeoFaculty of Medicine, CMU, University of Geneva, Geneva, Switzerland.
Christophe RodriguezDépartement de Microbiologie, AP-HP, Hôpital Henri Mondor, 94000, Créteil, France.
Cécile AngebaultDépartement de Microbiologie, AP-HP, Hôpital Henri Mondor, 94000, Créteil, France.
Alexandre AlanioAP-HP, Hôpital Saint-Louis, Laboratoire de Parasitologie-Mycologie, 75010, Paris, France.
Slim FouratiDépartement de Microbiologie, AP-HP, Hôpital Henri Mondor, 94000, Créteil, France.
Vladimir LazarevicFaculty of Medicine, CMU, University of Geneva, Geneva, Switzerland.
Paul-Louis WoertherDépartement de Microbiologie, AP-HP, Hôpital Henri Mondor, 94000, Créteil, France.
Jacques SchrenzelFaculty of Medicine, CMU, University of Geneva, Geneva, Switzerland.
Etienne RuppéUniversité de Paris, IAME, INSERM, 75018, Paris, France. etienne.ruppe@inserm.fr.ORCID http://orcid.org/0000-0002-1178-0298

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clinical metagenomics (CMg) is the process of sequencing nucleic acid of clinical samples to obtain clinically relevant information such as the identification of microorganisms and their susceptibility to antimicrobials. Over the last decades, sequencing and bioinformatic solutions supporting CMg have much evolved and an increasing number of case reports and series covering various infectious diseases have been published. Metagenomics is a new approach to infectious disease diagnosis that is currently being developed and is certainly one of the most promising for the coming years. However, most CMg studies are retrospective, and few address the potential impact CMg could have on patient management, including initiation, adaptation, or cessation of antimicrobials. In this narrative review, we have discussed the potential role of CMg in bacteriology, virology, mycology, and parasitology. Several reports and case-series confirm that CMg is an innovative tool with which one can (i) identify more microorganisms than with conventional methods in a single test, (ii) obtain results within hours, and (iii) tailor the antimicrobial regimen of patients. However, the cost-efficiency of CMg and its real impact on patient management are still to be determined.

Indexed as

Anti-Infective AgentsCommunicable DiseasesComputational BiologyHumansMetagenomicsNucleic Acid Amplification TechniquesAnti-Infective Agents

Identifiers

PMID34328626
PMCPMC8323086

What OpenQuestion holds

Textmetadata
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.