Evidence map›Paper›PMID 27821087›Full record

ArticleBMC infectious diseases2016

Comparing culture and molecular methods for the identification of microorganisms involved in necrotizing soft tissue infections.

Vibeke Børsholt Rudkjøbing, Trine Rolighed Thomsen, Yijuan Xu, Rachael Melton-Kreft, Azad Ahmed, Steffen Eickhardt, Thomas Bjarnsholt, Steen Seier Poulsen, Per Halkjær Nielsen, Joshua P Earl and 2 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC infectious diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 7% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Prevalence ofFrontiers in cellular and infection microbiology · 2025
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  7. Article
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  9. Staphylococcal mastitis in dairy cows.Frontiers in veterinary science · 2024
    Review
  10. Review
  11. Article
  12. Article
  13. Biofilm Research in Bovine Mastitis.Frontiers in veterinary science · 2021
    Review
  14. Article
  15. Article
  16. Do Mixed-Species Biofilms Dominate in Chronic Infections?-Need forFrontiers in cellular and infection microbiology · 2020
    Review
  17. Article
  18. Obligate anaerobes are abundant in human necrotizing soft tissue infection samples - a metagenomics analysis.APMIS : acta pathologica, microbiologica, et immunologica Scandinavica · 2019
    Article
  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 at 7 institutions in 2 countries.

Vibeke Børsholt RudkjøbingCenter for Microbial Communities, Department of Chemistry and Bioscience, Aalborg University, Aalborg, Denmark.
Trine Rolighed ThomsenCenter for Microbial Communities, Department of Chemistry and Bioscience, Aalborg University, Aalborg, Denmark.
Yijuan XuCenter for Microbial Communities, Department of Chemistry and Bioscience, Aalborg University, Aalborg, Denmark.
Rachael Melton-KreftCenter for Genomic Sciences, Allegheny-Singer Research Institute, Pittsburgh, USA.
Azad AhmedCenter for Genomic Sciences, Allegheny-Singer Research Institute, Pittsburgh, USA.
Steffen EickhardtDepartment of Immunology and Microbiology, University of Copenhagen, Copenhagen, Denmark.
Thomas BjarnsholtDepartment of Immunology and Microbiology, University of Copenhagen, Copenhagen, Denmark.
Steen Seier PoulsenDepartment of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark.
Per Halkjær NielsenCenter for Microbial Communities, Department of Chemistry and Bioscience, Aalborg University, Aalborg, Denmark.
Joshua P EarlCenter for Genomic Sciences, Philadelphia, PA, USA.
Garth D EhrlichCenter for Genomic Sciences, Philadelphia, PA, USA.
Claus MoserDepartment of Clinical Microbiology, Copenhagen University Hospital, Rigshospitalet, Denmark. moser@dadlnet.dk.
Aalborg University · DKAllegheny-Singer Research Institute · USUniversity of Copenhagen · DKCopenhagen University Hospital · DKMaterials Processing (United States) · USRigshospitalet · DKUniversity of Pennsylvania · US

Funding

THE ROLE OF BIOFILMS IN THE PATHOGENESIS OF OTORRHEAR01DC004173 · NIDCD · ALLEGHENY-SINGER RESEARCH INSTITUTE · PI EHRLICH, GARTH D. · 2000 to 2008
$7.0M
MOLECULAR ANALYSIS OF PATHOGENS IN OTITIS MEDIA BY PCRR01DC002148 · NIDCD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI EHRLICH, GARTH D. · 1994 to 2017
$6.5M
Impact of Antibiotics and Vaccines on the in vivo Evolution of S. pneumoniaeR01AI080935 · NIAID · ALLEGHENY-SINGER RESEARCH INSTITUTE · PI EHRLICH, GARTH D. · 2009 to 2010
$1.3M
NIAID NIH HHS R01 AI080935NIDCD NIH HHS R01 DC002148NIDCD NIH HHS R01 DC004173
6 · The paper itself

Abstract

backgroundNecrotizing soft tissue infections (NSTIs) are a group of infections affecting all soft tissues. NSTI involves necrosis of the afflicted tissue and is potentially life threatening due to major and rapid destruction of tissue, which often leads to septic shock and organ failure. The gold standard for identification of pathogens is culture; however molecular methods for identification of microorganisms may provide a more rapid result and may be able to identify additional microorganisms that are not detected by culture.

methodsIn this study, tissue samples (n = 20) obtained after debridement of 10 patients with NSTI were analyzed by standard culture, fluorescence in situ hybridization (FISH) and multiple molecular methods. The molecular methods included analysis of microbial diversity by 1) direct 16S and D2LSU rRNA gene Microseq 2) construction of near full-length 16S rRNA gene clone libraries with subsequent Sanger sequencing for most samples, 3) the Ibis T5000 biosensor and 4) 454-based pyrosequencing. Furthermore, quantitative PCR (qPCR) was used to verify and determine the relative abundance of Streptococcus pyogenes in samples.

resultsFor 70 % of the surgical samples it was possible to identify microorganisms by culture. Some samples did not result in growth (presumably due to administration of antimicrobial therapy prior to sampling). The molecular methods identified microorganisms in 90 % of the samples, and frequently detected additional microorganisms when compared to culture. Although the molecular methods generally gave concordant results, our results indicate that Microseq may misidentify or overlook microorganisms that can be detected by other molecular methods. Half of the patients were found to be infected with S. pyogenes, but several atypical findings were also made including infection by a) Acinetobacter baumannii, b) Streptococcus pneumoniae, and c) fungi, mycoplasma and Fusobacterium necrophorum.

conclusionThe study emphasizes that many pathogens can be involved in NSTIs, and that no specific "NSTI causing" combination of species exists. This means that clinicians should be prepared to diagnose and treat any combination of microbial pathogens. Some of the tested molecular methods offer a faster turnaround time combined with a high specificity, which makes supplemental use of such methods attractive for identification of microorganisms, especially for fulminant life-threatening infections such as NSTI.

Indexed as

AgedBacteriological TechniquesDebridementHumansIn Situ Hybridization, FluorescenceMiddle AgedNecrosisReal-Time Polymerase Chain ReactionRNA, Ribosomal, 16SSensitivity and SpecificitySoft Tissue InfectionsStreptococcal InfectionsStreptococcus pyogenesRNA, Ribosomal, 16S16S rRNA454 pyrosequencingCloningDirect Sanger sequencingFISHIbis T5000 biosensorMicroorganismsNecrotizing soft tissue infectionsqPCR

Identifiers

PMID27821087
PMCPMC5100109
OpenAlexW2341141931

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.