Evidence map›Paper›PMID 40892172›Full record

ReviewClinical oral investigations2025

Next-generation sequencing improves pathogen identification in odontogenic abscesses, could this affect clinical outcomes?

Felix Benjamin Warwas, Felix Thol, Martin A Sieber, Nikolai Spuck, Franz-Josef Kramer, Nils Heim

Abstract readReview
In one paragraph

Review in Clinical oral investigations, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

6 authors.

Felix Benjamin Warwas *Department of Oral and Maxillofacial Plastic Surgery, University Medical Center of the University Bonn, Venusberg Campus 1, Building 11, 2. OG, 53127, Bonn, Germany. Fbwarwas@icloud.com.
Felix Thol *Department of Oral and Maxillofacial Plastic Surgery, University Medical Center of the University Bonn, Venusberg Campus 1, Building 11, 2. OG, 53127, Bonn, Germany. felix.thol@ukbonn.de.ORCID http://orcid.org/0000-0001-8406-2767
Martin A SieberInstitute for Functional Gene Analytics (IFGA), University of Applied Sciences Bonn-Rhein-Sieg, Rheinbach, Germany.
Nikolai SpuckInstitute of Medical Biometry, Informatics and Epidemiology, Medical Faculty, University of Bonn, Venusberg Campus 1, Building 11, D-53127, Bonn, Germany.ORCID http://orcid.org/0000-0001-6345-9634
Franz-Josef KramerDepartment of Oral and Maxillofacial Plastic Surgery, University Medical Center of the University Bonn, Venusberg Campus 1, Building 11, 2. OG, 53127, Bonn, Germany.
Nils HeimDepartment of Oral and Maxillofacial Plastic Surgery, University Medical Center of the University Bonn, Venusberg Campus 1, Building 11, 2. OG, 53127, Bonn, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to evaluate the diagnostic performance of gene-based bioinformatic analysis via next-generation sequencing (NGS) compared to conventional culture and microscopy in identifying microorganisms and antibiotic resistances in odontogenic abscesses. Additionally, the influence of selected clinical indicators including prior antibiotic therapy, in-hospital antibiotic treatment, and detection of antibiotic resistance on length of stay (LOS) was analysed. MATERIALS AND

methodsIn patients undergoing extraoral incision and drainage of odontogenic abscesses at the Department of Oral and Maxillofacial Plastic Surgery, University Hospital Bonn, two microbiological swabs (NGS and conventional) were taken intraoperatively from each patient. Microbial profiles and resistance patterns were assessed and correlated with clinical data.

resultsBacteria were identified in 100% of NGS swabs compared to 68.1% in conventional swabs (p < 0.001). NGS detected a median of 8 bacterial genera per sample versus 1 via conventional methods, primarily due to superior detection of anaerobes (median 7 vs. 0). Both methods equally identified aerobic genera (median 1 each). Fungal organisms and antibiotic resistances were also more frequently detected using NGS (p < 0.001). Prior antibiotic therapy was associated with a significantly reduced LOS (p = 0.030). Neither the type of in-hospital antibiotic regimen nor the presence of resistance influenced LOS.

conclusionsNGS substantially enhances the detection of polymicrobial communities, including anaerobes and fungi, and identifies antibiotic resistances more effectively than conventional diagnostics in odontogenic abscesses. CLINICAL RELEVANCE: NGS offers rapid, comprehensive pathogen profiling and resistance testing, supporting quick establishment of tailored antimicrobial therapy.

Indexed as

High-Throughput Nucleotide SequencingPeriodontal AbscessAdultAgedAnti-Bacterial AgentsFemaleHumansLength of StayMaleMiddle AgedAnti-Bacterial AgentsAntibiotic resistanceMicrobiomeNext-generation sequencingNGSOdontogenic abscesses

Identifiers

PMID40892172
PMCPMC12405399

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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.