Evidence map›Paper›PMID 31615449›Full record

ArticleBMC infectious diseases2019

Microorganisms involved in deep neck infection (DNIs) in Greece: detection, identification and susceptibility to antimicrobials.

Despoina Beka, Vasileios A Lachanas, Stergios Doumas, Stelios Xytsas, Anastasios Kanatas, Efi Petinaki, Charalampos Skoulakis

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

16 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Observational
  11. Article
  12. Intra-oral Drainage of Submandibular Abscess: A Minimally Invasive Technique. A Prospective Study.Indian journal of otolaryngology and head and neck surgery : official publication of the Association of Otolaryngologists of India · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. 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

7 authors at 3 institutions in 2 countries.

Despoina BekaDepartment of Otorhinolaryngology, University Hospital of Larissa, Larissa, Greece.
Vasileios A LachanasDepartment of Otorhinolaryngology, University Hospital of Larissa, Larissa, Greece.
Stergios DoumasOMFS Department, Leeds Teaching Hospitals and St James Institute of Oncology, Leeds Dental Institute and Leeds General Infirmary, Leeds, UK.
Stelios XytsasDepartment of Microbiology, Medical School, University of Thessaly, Larissa, Greece.
Anastasios KanatasOMFS Department, Leeds Teaching Hospitals and St James Institute of Oncology, Leeds Dental Institute and Leeds General Infirmary, Leeds, UK.
Efi PetinakiDepartment of Microbiology, Medical School, University of Thessaly, Larissa, Greece. petinaki@med.uth.gr.
Charalampos SkoulakisDepartment of Otorhinolaryngology, University Hospital of Larissa, Larissa, Greece.
University Hospital of Larissa · GRLeeds General Infirmary · GBUniversity of Thessaly · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo determine, from October 2010 to October 2018, the epidemiology of Deep Neck Infections (DNIs), regarding the detection, the identification and the susceptibility to antimicrobials of causative microorganisms, in Thessaly-Central Greece.

methodsAn analysis of data from a prospective database was conducted on 610 consecutive patients with DNIs treated in the Otolaryngology / Head & Neck Surgery Department of University Hospital of Larissa. Demographics, clinical features and microbiological data were analyzed.

resultsAmong the 610 patients (1,9/1 male to female ratio, mean age: 39,24 ± 17,25) with DNIs, 579 had a single space (94,9%), while the remaining 31 had a multi-space (5,1%) DNI. The most common areas affected were the peritonsillar space (84,6%) followed by the submandibular space (6,5%). Clinical samples were obtained from 462 patients, and were tested by culture and by the application of 16S rRNA PCR. Two hundred fifty-five samples (55,2%) gave positive cultures, in which Streptococcus pyogenes and Staphylococcus aureus were predominant. The application of the 16S rRNA PCR revealed that 183 samples (39,6%) were positive for bacterial DNA; 22 of them, culture negative, were found to be positive for anaerobic (Fusobacterium necrophorum, Actinomyces israellii etc) and for fastidious microorganisms (Brucella mellitensis, Mycobacterium avium).

conclusionDNIs represent a medical and surgical emergency and evidence-guided empirical treatment with intravenous infusion of antibiotics at the time of diagnosis is mandatory, highlighting the importance of epidemiological studies regarding the causative microorganisms. Although, in our study, the predominant pathogens were S. pyogenes and S. aureus, the combination of culture and molecular assay revealed that anaerobic bacteria play also a significant role in the pathogenesis of DNIs. Based on the local epidemiology, we propose as empirical therapy the intravenous use of a beta-lactam /beta-lactamase inhibitor; metronidazole or clindamycin can be added only in specific cases such as in immunocompromised patients.

Indexed as

AbscessAdultAnti-Infective AgentsBacteremiaBacteriaFemaleGreeceHumansMaleMicrobial Sensitivity TestsMiddle AgedNeckRetrospective StudiesRNA, Ribosomal, 16SStaphylococcus aureusStreptococcus pyogenesAnti-Infective AgentsRNA, Ribosomal, 16SCausative agentsEpidemiologyNeck abscessesNeck infectionNeck spaces

Identifiers

PMID31615449
PMCPMC6794762
OpenAlexW2980351727

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.