Evidence map›Paper›PMID 31533983›Full record

ArticleJournal of clinical microbiology2019

Bringing Antimicrobial Susceptibility Testing for New Drugs into the Clinical Laboratory: Removing Obstacles in Our Fight against Multidrug-Resistant Pathogens.

James E Kirby, Thea Brennan-Krohn, Kenneth P Smith

Abstract read
In one paragraph

Article in Journal of clinical microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Antibiotic dose-response curves can measure antibiotic activity againstbioRxiv : the preprint server for biology · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. New strategies and structural considerations in development of therapeutics for carbapenem-resistant Enterobacteriaceae.Translational research : the journal of laboratory and clinical medicine · 2020
    Review
  12. Hindsight Is 2019-the Year in Clinical Microbiology.Clinical microbiology newsletter · 2020
    Article
  13. Article
  14. Article
  15. Article
  16. 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

3 authors.

James E KirbyDepartment of Pathology, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA jekirby@bidmc.harvard.edu.
Thea Brennan-KrohnDepartment of Pathology, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.
Kenneth P SmithDepartment of Pathology, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.

Funding

INFECTIOUS DISEASE AND BASIC MICROBIOLOGICAL MECHANISMST32AI007061 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI Marcia B Goldberg · 1985 to 2026
$12.1M
NIAID NIH HHS T32 AI007061
6 · The paper itself

Abstract

There are now several new antibiotics available to treat multidrug-resistant pathogens, and susceptibility testing methods for these drugs are increasingly available at the time of drug approval. However, lack of clarity regarding verification requirements remains a formidable barrier to introducing such testing in clinical laboratories, making these drugs practically unavailable for patient use. We propose a change in the framework for bringing in testing for new antibiotics, focusing on quality control rather than underpowered verification studies.

Indexed as

Quality ControlAnti-Bacterial AgentsBacteriaBacterial InfectionsDrug Resistance, Multiple, BacterialHumansMicrobial Sensitivity TestsAnti-Bacterial Agentsantibiotic resistanceantimicrobial susceptibility testingnew antibioticquality controlvalidationverification

Identifiers

PMID31533983
PMCPMC6879291

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.