Evidence map›Paper›PMID 39298363›Full record

ReviewThe Journal of antimicrobial chemotherapy2024

Evolving strategies in microbe identification-a comprehensive review of biochemical, MALDI-TOF MS and molecular testing methods.

Sophie S Arbefeville, Tristan T Timbrook, Cherilyn D Garner

Abstract readReview
In one paragraph

Review in The Journal of antimicrobial chemotherapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Polymers · 2026
    Article
  11. Article
  12. Review
  13. Genomic characterization and niche adaptive analysis ofFrontiers in cellular and infection microbiology · 2026
    Article
  14. Antihemolytic and Thrombolytic Potential ofJournal of tropical medicine · 2026
    Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. 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

3 authors.

Sophie S ArbefevilleMicrobiology & Molecular Pathology, Marshfield Clinic Health System, 1000 N. Oak Ave., Marshfield, WI 54449, USA.
Tristan T TimbrookDepartment of Global Medical Affairs, St Louis, MO, USA.ORCID 0000-0002-4542-6203
Cherilyn D GarnerDepartment of Global Medical Affairs, St Louis, MO, USA.

Funding

bioMérieux
6 · The paper itself

Abstract

Detection and identification of microorganisms are the first steps to guide susceptibility testing and enable clinicians to confirm diseases and guide therapy. The faster the pathogen identification is determined, the quicker the appropriate treatment can be started. In the clinical microbiology laboratory, multiple methodologies can be used to identify organisms, such as traditional biochemical testing or more recent methods like MALDI TOF MS and nucleic acid detection/identification assays. Each of these techniques has advantages and limitations, and clinical laboratories need to determine which methodology is best suited to their particular setting in terms of clinical needs, availability of technical expertise and cost. This article presents a concise review of the history, utilization, advantages and limitations of the main methods used for identifying microorganisms in microbiology laboratories.

Indexed as

Molecular Diagnostic TechniquesSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationBacteriaHumansMicrobiological Techniques

Identifiers

PMID39298363
PMCPMC11412244

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.