Evidence map›Paper›PMID 33893492›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2021

Detection of Pathogenic Bacteria From Septic Patients Using 16S Ribosomal RNA Gene-Targeted Metagenomic Sequencing.

Madiha Fida, Matthew J Wolf, Ahmed Hamdi, Prakhar Vijayvargiya, Zerelda Esquer Garrigos, Sarwat Khalil, Kerryl E Greenwood-Quaintance, Matthew J Thoendel, Robin Patel

Registry-linked trialOpen access · bronzeAbstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06307405 (To Explore the Application of mNGS Detection Technology in the Diagnosis of Pulmonary Infection), which is not on this map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
5.8field-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.

NCT06307405 unknown statusnot on this mapstarted 2024, after this paper: background citation

To Explore the Application of mNGS Detection Technology in the Diagnosis of Pulmonary Infection

TypeobservationalSponsorYunfeng HouRan2024 to 2025Enrolled50ConditionsPulmonary InfectionArmsnext generation sequencing
3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 57 citations in OpenAlex.

  1. Review
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  6. Article
  7. Article
  8. Rapid Detection ofBiosensors · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 1 country.

Madiha FidaDivision of Infectious Diseases, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0002-3630-0668
Matthew J WolfDivision of Clinical Microbiology, Mayo Clinic, Rochester, Minnesota, USA.
Ahmed HamdiDivision of Infectious Diseases, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Prakhar VijayvargiyaDivision of Infectious Diseases, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Zerelda Esquer GarrigosDivision of Infectious Diseases, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Sarwat KhalilDivision of Infectious Diseases, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Kerryl E Greenwood-QuaintanceDivision of Clinical Microbiology, Mayo Clinic, Rochester, Minnesota, USA.
Matthew J ThoendelDivision of Infectious Diseases, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Robin PatelDivision of Infectious Diseases, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Mayo Clinic · USMayo Clinic in Florida · USUniversity of Mississippi Medical Center · USUniversity of Minnesota · US

Funding

Antibacterial Resistance Leadership Group (ARLG)UM1AI104681 · NIAID · DUKE UNIVERSITY · PI Vance G. Fowler, Henry F HENRY CHAMBERS · 2013 to 2026
$180.8M
NIAID NIH HHS UM1 AI104681
6 · The paper itself

Abstract

backgroundConventional blood cultures were compared to plasma cell-free DNA-based 16S ribosomal RNA (rRNA) gene polymerase chain reaction (PCR)/next-generation sequencing (NGS) for detection and identification of potential pathogens in patients with sepsis.

methodsPlasma was prospectively collected from 60 adult patients with sepsis presenting to the Mayo Clinic (Minnesota) Emergency Department from March through August 2019. Results of routine clinical blood cultures were compared to those of 16S rRNA gene NGS.

resultsNineteen (32%) subjects had positive blood cultures, of which 13 yielded gram-negative bacilli, 5 gram-positive cocci, and 1 both gram-negative bacilli and gram-positive cocci. 16S rRNA gene NGS findings were concordant in 11. For the remaining 8, 16S rRNA gene NGS results yielded discordant detections (n = 5) or were negative (n = 3). Interestingly, Clostridium species were additionally detected by 16S rRNA gene NGS in 3 of the 6 subjects with gastrointestinal sources of gram-negative bacteremia and none of the 3 subjects with urinary sources of gram-negative bacteremia. In the 41 remaining subjects, 16S rRNA gene NGS detected at least 1 potentially pathogenic organism in 17. In 15, the detected microorganism clinically correlated with the patient's syndrome. In 17 subjects with a clinically defined infectious syndrome, neither test was positive; in the remaining 7 subjects, a noninfectious cause of clinical presentation was identified.

conclusions16S rRNA gene NGS may be useful for detecting bacteria in plasma of septic patients. In some cases of gram-negative sepsis, it may be possible to pinpoint a gastrointestinal or urinary source of sepsis based on the profile of bacteria detected in plasma.

Indexed as

BacteriaSepsisAdultDNA, BacterialGenes, rRNAHumansRNA, Ribosomal, 16SSequence Analysis, DNADNA, BacterialRNA, Ribosomal, 16S16S rRNA gene sequencingcell-free DNAmetagenomic sequencingmolecular diagnosticssepsis

Identifiers

PMID33893492
PMCPMC8492209
OpenAlexW3153443293

What OpenQuestion holds

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Registered trials

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.