Evidence map›Paper›PMID 24658184›Full record

ArticleBioengineered

A commentary on the role of molecular technology and automation in clinical diagnostics.

Ciara O'Connor, Marie Fitzgibbon, James Powell, Denis Barron, Jim O'Mahony, Lorraine Power, Nuala H O'Connell, Colum Dunne

Abstract read
In one paragraph

Article in Bioengineered. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Observational
  5. Review
  6. Article
  7. Youngest survivor of perinatal infection byNew microbes and new infections · 2018
    Review
  8. Automated direct screening for resistance of Gram-negative blood cultures using the BD Kiestra WorkCell.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2018
    Article
  9. Article
  10. Article
  11. Review
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.

Ciara O'ConnorDepartment of Clinical Microbiology; University Hospital Limerick; Limerick, Ireland; Centre for Interventions in Infection, Inflammation, and Immunity (4i) and Graduate Entry Medical School; University of Limerick; Limerick, Ireland.
Marie FitzgibbonDepartment of Clinical Microbiology; University Hospital Limerick; Limerick, Ireland.
James PowellDepartment of Clinical Microbiology; University Hospital Limerick; Limerick, Ireland.
Denis BarronDepartment of Clinical Microbiology; University Hospital Limerick; Limerick, Ireland.
Jim O'MahonyCork Institute of Technology; Cork, Ireland.
Lorraine PowerDepartment of Clinical Microbiology; University Hospital Limerick; Limerick, Ireland.
Nuala H O'ConnellDepartment of Clinical Microbiology; University Hospital Limerick; Limerick, Ireland; Centre for Interventions in Infection, Inflammation, and Immunity (4i) and Graduate Entry Medical School; University of Limerick; Limerick, Ireland.
Colum DunneCentre for Interventions in Infection, Inflammation, and Immunity (4i) and Graduate Entry Medical School; University of Limerick; Limerick, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Historically, the identification of bacterial or yeast isolates has been based on phenotypic characteristics such as growth on defined media, colony morphology, Gram stain, and various biochemical reactions, with significant delay in diagnosis. Clinical microbiology as a medical specialty has embraced advances in molecular technology for rapid species identification with broad-range 16S rDNA polymerase chain reaction (PCR) and matrix-assisted laser desorption and/or ionization time of flight (MALDI-TOF) mass spectrometry demonstrated as accurate, rapid, and cost-effective methods for the identification of most, but not all, bacteria and yeasts. Protracted conventional incubation times previously necessary to identify certain species have been mitigated, affording patients quicker diagnosis with associated reduction in exposure to empiric broad-spectrum antimicrobial therapy and shortened hospital stay. This short commentary details such molecular advances and their implications in the clinical microbiology setting.

Indexed as

Anti-Bacterial AgentsAutomation, LaboratoryBacteriaBacterial InfectionsBacterial Typing TechniquesFungiHumansMicrobial Sensitivity TestsMycological Typing TechniquesMycosesPolymerase Chain ReactionRNA, Ribosomal, 16SSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationTime FactorsAnti-Bacterial AgentsRNA, Ribosomal, 16Sclinical microbiologyimpactMALDIpatient carePCR

Identifiers

PMID24658184
PMCPMC4101006

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.