Evidence map›Paper›PMID 26763956›Full record

ArticleJournal of clinical microbiology2016

Automated Broad-Range Molecular Detection of Bacteria in Clinical Samples.

Andries E Budding, Martine Hoogewerf, Christina M J E Vandenbroucke-Grauls, Paul H M Savelkoul

Open access · bronzeAbstract readComparative StudyEvaluation Study
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 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 12% 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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 53 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Performance of Molecular Culture ID in diagnosis of bacterial pericarditis.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2025
    Article
  9. Diagnostic performance of broad-range PCR in bacterial peritonitis.Frontiers in cellular and infection microbiology · 2025
    Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Rapid Diagnostics of Joint Infections Using IS-Pro.Journal of clinical microbiology · 2023
    Article
  17. Article
  18. Review
  19. Group BAntibiotics (Basel, Switzerland) · 2023
    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

4 authors at 2 institutions in 1 country.

Andries E BuddingDepartment of Medical Microbiology and Infection Control, VU University Medical Center, Amsterdam, the Netherlands d.budding@vumc.nl.
Martine HoogewerfDepartment of Medical Microbiology and Infection Control, VU University Medical Center, Amsterdam, the Netherlands.
Christina M J E Vandenbroucke-GraulsDepartment of Medical Microbiology and Infection Control, VU University Medical Center, Amsterdam, the Netherlands.
Paul H M SavelkoulDepartment of Medical Microbiology and Infection Control, VU University Medical Center, Amsterdam, the Netherlands Department of Medical Microbiology, Maastricht University Medical Center, Maastricht, the Netherlands.
Amsterdam UMC Location VUmc · NLMaastricht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular detection methods, such as quantitative PCR (qPCR), have found their way into clinical microbiology laboratories for the detection of an array of pathogens. Most routinely used methods, however, are directed at specific species. Thus, anything that is not explicitly searched for will be missed. This greatly limits the flexibility and universal application of these techniques. We investigated the application of a rapid universal bacterial molecular identification method, IS-pro, to routine patient samples received in a clinical microbiology laboratory. IS-pro is a eubacterial technique based on the detection and categorization of 16S-23S rRNA gene interspace regions with lengths that are specific for each microbial species. As this is an open technique, clinicians do not need to decide in advance what to look for. We compared routine culture to IS-pro using 66 samples sent in for routine bacterial diagnostic testing. The samples were obtained from patients with infections in normally sterile sites (without a resident microbiota). The results were identical in 20 (30%) samples, IS-pro detected more bacterial species than culture in 31 (47%) samples, and five of the 10 culture-negative samples were positive with IS-pro. The case histories of the five patients from whom these culture-negative/IS-pro-positive samples were obtained suggest that the IS-pro findings are highly clinically relevant. Our findings indicate that an open molecular approach, such as IS-pro, may have a high added value for clinical practice.

Indexed as

Automation, LaboratoryBacteriaBacterial InfectionsBacteriological TechniquesChild, PreschoolDNA, IntergenicFemaleHumansMiddle AgedMolecular Diagnostic TechniquesRNA, Ribosomal, 16SRNA, Ribosomal, 23SSensitivity and SpecificityTime FactorsDNA, IntergenicRNA, Ribosomal, 16SRNA, Ribosomal, 23S

Identifiers

PMID26763956
PMCPMC4809945
OpenAlexW2238579418

What OpenQuestion holds

Textmetadata
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.