Evidence map›Paper›PMID 25562799›Full record

ReviewJournal of personalized medicine2012

Infectious Disease Management through Point-of-Care Personalized Medicine Molecular Diagnostic Technologies.

Luc Bissonnette, Michel G Bergeron

Open access · goldAbstract readReview
In one paragraph

Review in Journal of personalized medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.2field-weighted citation impact, top 9% 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

21 citing papers in PubMed, 66 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Review
  12. Review
  13. Article
  14. Review
  15. Review
  16. Diagnostics for Developing Countries.Diagnostics (Basel, Switzerland) · 2015
    Article
  17. Article
  18. Review
  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

2 authors at 1 institution in 1 country.

Luc BissonnetteDépartement de microbiologie-infectiologie et d'immunologie, Faculté de médecine, Université Laval, Centre de recherche du CHUQ, 2705 Laurier blvd., Québec City (Québec), G1V 4G2, Canada. Luc.Bissonnette@crchul.ulaval.ca.
Michel G BergeronDépartement de microbiologie-infectiologie et d'immunologie, Faculté de médecine, Université Laval, Centre de recherche du CHUQ, 2705 Laurier blvd., Québec City (Québec), G1V 4G2, Canada. Michel.G.Bergeron@crchul.ulaval.ca.
Centre hospitalier de l'Université Laval · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infectious disease management essentially consists in identifying the microbial cause(s) of an infection, initiating if necessary antimicrobial therapy against microbes, and controlling host reactions to infection. In clinical microbiology, the turnaround time of the diagnostic cycle (>24 hours) often leads to unnecessary suffering and deaths; approaches to relieve this burden include rapid diagnostic procedures and more efficient transmission or interpretation of molecular microbiology results. Although rapid nucleic acid-based diagnostic testing has demonstrated that it can impact on the transmission of hospital-acquired infections, we believe that such life-saving procedures should be performed closer to the patient, in dedicated 24/7 laboratories of healthcare institutions, or ideally at point of care. While personalized medicine generally aims at interrogating the genomic information of a patient, drug metabolism polymorphisms, for example, to guide drug choice and dosage, personalized medicine concepts are applicable in infectious diseases for the (rapid) identification of a disease-causing microbe and determination of its antimicrobial resistance profile, to guide an appropriate antimicrobial treatment for the proper management of the patient. The implementation of point-of-care testing for infectious diseases will require acceptance by medical authorities, new technological and communication platforms, as well as reimbursement practices such that time- and life-saving procedures become available to the largest number of patients.

Identifiers

PMID25562799
PMCPMC4251365
OpenAlexW2024946086

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.