Evidence map›Paper›PMID 27558178›Full record

ArticleJournal of clinical microbiology2016

Real-Time Genome Sequencing of Resistant Bacteria Provides Precision Infection Control in an Institutional Setting.

Alexander Mellmann, Stefan Bletz, Thomas Böking, Frank Kipp, Karsten Becker, Anja Schultes, Karola Prior, Dag Harmsen

Abstract read
In one paragraph

Article in Journal of clinical microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 139 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
139citing papers in PubMed, 1 pooled it
–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

139 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Vancomycin-resistantInfection prevention in practice · 2026
    Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Prediction of genetic relatedness ofAntimicrobial agents and chemotherapy · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Exploring the Utility of MALDI-TOF Mass Spectrometry and Antimicrobial Resistance in Hospital Outbreak Detection.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2026
    Article
  14. High-risk clonal expansion of IMP-producingAntimicrobial agents and chemotherapy · 2025
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Whole-genome sequencing surveillance of vancomycin-resistantInfection control and hospital epidemiology · 2025
    Article

79 more citing papers are in PubMed but not listed here.

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

8 authors.

Alexander MellmannInstitute of Hygiene, University Hospital Muenster, Muenster, Germany mellmann@uni-muenster.de.ORCID 0000-0002-0649-5185
Stefan BletzInstitute of Hygiene, University Hospital Muenster, Muenster, Germany.
Thomas BökingInstitute of Hygiene, University Hospital Muenster, Muenster, Germany.
Frank KippInstitute of Hygiene, University Hospital Muenster, Muenster, Germany.
Karsten BeckerInstitute of Medical Microbiology, University Hospital Muenster, Muenster, Germany.
Anja SchultesDepartment of Periodontology and Restorative Dentistry, University Hospital Muenster, Muenster, Germany.
Karola PriorDepartment of Periodontology and Restorative Dentistry, University Hospital Muenster, Muenster, Germany.
Dag HarmsenDepartment of Periodontology and Restorative Dentistry, University Hospital Muenster, Muenster, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasing prevalence of multidrug-resistant (MDR) bacteria is a serious global challenge. Here, we studied prospectively whether bacterial whole-genome sequencing (WGS) for real-time MDR surveillance is technical feasible, returns actionable results, and is cost-beneficial. WGS was applied to all MDR isolates of four species (methicillin-resistant Staphylococcus aureus [MRSA], vancomycin-resistant Enterococcus faecium, MDR Escherichia coli, and MDR Pseudomonas aeruginosa) at the University Hospital Muenster, Muenster, Germany, a tertiary care hospital with 1,450 beds, during two 6-month intervals. Turnaround times (TAT) were measured, and total costs for sequencing per isolate were calculated. After cancelling prior policies of preemptive isolation of patients harboring certain Gram-negative MDR bacteria in risk areas, the second interval was conducted. During interval I, 645 bacterial isolates were sequenced. From culture, TATs ranged from 4.4 to 5.3 days, and costs were €202.49 per isolate. During interval II, 550 bacterial isolates were sequenced. Hospital-wide transmission rates of the two most common species (MRSA and MDR E. coli) were low during interval I (5.8% and 2.3%, respectively) and interval II (4.3% and 5.0%, respectively). Cancellation of isolation of patients infected with non-pan-resistant MDR E. coli in risk wards did not increase transmission. Comparing sequencing costs with avoided costs mostly due to fewer blocked beds during interval II, we saved in excess of €200,000. Real-time microbial WGS in our institution was feasible, produced precise actionable results, helped us to monitor transmission rates that remained low following a modification in isolation procedures, and ultimately saved costs.

Indexed as

Anti-Bacterial AgentsCefotaximeCiprofloxacinCross InfectionEnterococcus faeciumEscherichia coliEscherichia coli InfectionsGenome, BacterialGram-Positive Bacterial InfectionsHigh-Throughput Nucleotide SequencingHumansInfection ControlMethicillin-Resistant Staphylococcus aureusMicrobial Sensitivity TestsPiperacillinProspective StudiesAnti-Bacterial AgentsCefotaximeCiprofloxacinPiperacillin

Identifiers

PMID27558178
PMCPMC5121374

What OpenQuestion holds

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Read underepoch 390

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.