Evidence map›Paper›PMID 22647543›Full record

ReviewCritical care (London, England)2012

Bench-to-bedside review: Rapid molecular diagnostics for bloodstream infection--a new frontier?

Arash Afshari, Jacques Schrenzel, Margareta Ieven, Stephan Harbarth

Abstract readReview
In one paragraph

Review in Critical care (London, England), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Cultryx: Precision Diagnostic Stewardship for Blood Cultures Using Machine Learning.medRxiv : the preprint server for health sciences · 2026
    Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Rapid identification of sepsis in the emergency department.Journal of the American College of Emergency Physicians open · 2023
    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

4 authors.

Arash Afshari
Jacques Schrenzel
Margareta Ieven
Stephan Harbarth

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Among critically ill patients, the diagnosis of bloodstream infection poses a major challenge. Current standard bacterial identification based on blood culture platforms is intrinsically time-consuming and slow. The continuous evolvement of molecular techniques has the potential of providing a faster, more sensitive and direct identification of causative pathogens without prior need for cultivation. This may ultimately impact clinical decision-making and antimicrobial treatment. This review summarises the currently available technologies, their strengths and limitations and the obstacles that have to be overcome in order to develop a satisfactory bedside point-of-care diagnostic tool for detection of bloodstream infection.

Indexed as

Bacteriological TechniquesMolecular Diagnostic TechniquesBacteremiaCritical CareDNA, BacterialGenetic TechniquesHumansPoint-of-Care SystemsDNA, Bacterial

Identifiers

PMID22647543
PMCPMC3580598

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.