Evidence map›Paper›PMID 39001210›Full record

ArticleDiagnostics (Basel, Switzerland)2024

Performance of 16S rRNA Gene Next-Generation Sequencing and the Culture Method in the Detection of Bacteria in Clinical Specimens.

Alexandru Botan, Giuseppina Campisciano, Verena Zerbato, Stefano Di Bella, Omar Simonetti, Marina Busetti, Dan Alexandru Toc, Roberto Luzzati, Manola Comar

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Nonclinical RhizobacteriaJournal of agricultural and food chemistry · 2026
    Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. BioFireAntibiotics (Basel, Switzerland) · 2024
    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

9 authors.

Alexandru BotanFaculty of Medicine, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania.ORCID 0000-0001-8881-7688
Giuseppina CampiscianoLaboratory of Advanced Microbiology Diagnosis and Translational Research, Institute for Maternal and Child Health IRCCS Burlo Garofolo, 34137 Trieste, Italy.
Verena ZerbatoInfectious Diseases Unit, Trieste University Hospital, 34125 Trieste, Italy.ORCID 0000-0002-9204-032X
Stefano Di BellaClinical Department of Medical, Surgical and Health Sciences, Trieste University, 34129 Trieste, Italy.
Omar SimonettiInfectious Diseases Unit, Trieste University Hospital, 34125 Trieste, Italy.
Marina BusettiMicrobiology Unit, Trieste University Hospital (ASUGI), 34125 Trieste, Italy.ORCID 0000-0002-8206-6841
Dan Alexandru TocDepartment of Microbiology, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania.ORCID 0000-0003-3930-5920
Roberto LuzzatiClinical Department of Medical, Surgical and Health Sciences, Trieste University, 34129 Trieste, Italy.ORCID 0000-0001-5546-0715
Manola ComarLaboratory of Advanced Microbiology Diagnosis and Translational Research, Institute for Maternal and Child Health IRCCS Burlo Garofolo, 34137 Trieste, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Effective treatment of infectious diseases requires prompt and accurate bacterial identification and tailored antimicrobial treatments. Traditional culture methods are considered the gold standard, but their effectiveness diminishes for fastidious and hard-to-grow microorganisms. In recent years, molecular diagnostic tools such as 16S rRNA gene next-generation sequencing (16S NGS) have gained popularity in the field. We analysed data from samples submitted for 16S NGS between July 2022 and July 2023 at the Department of Advanced Translational Microbiology in Trieste, Italy. The study included samples submitted for both culture-based identification and 16S NGS. Conventional media were used for culture, and bacterial identification was performed using MALDI-TOF mass spectrometry. The V3 region of the 16S rRNA gene was sequenced using the Ion PGM platform. Among the 123 samples submitted, drainage fluids (38%) and blood (23%) were the most common, with requests predominantly from the Infectious Diseases (31.7%) and Orthopedic (21.13%) Units. In samples collected from patients with confirmed infections, 16S NGS demonstrated diagnostic utility in over 60% of cases, either by confirming culture results in 21% or providing enhanced detection in 40% of instances. Among the 71 patients who had received antibiotic therapies before sampling (mean 2.3 prior antibiotic days), pre-sampling antibiotic consumption did not significantly affect the sensitivity of 16S NGS. In routine microbiology laboratories, combining 16S NGS with culture method enhances the sensitivity of microbiological diagnostics, even when sampling is conducted during antibiotic therapy.

Indexed as

16S NGSculture-based diagnosisdiagnosisdiagnostic microbiology

Identifiers

PMID39001210
PMCPMC11240331

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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.