In Vitro Assessment of Drug Activity Against Mycobacterium ulcerans.

Oliver D Komm, Deepak V Almeida, Paul J Converse, Eric L Nuermberger

Open access · greenAbstract read

In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

2.2field-weighted citation impact, top 10% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 1 institution in 1 country.

Oliver D KommCenter for TB Research, Johns Hopkins University, Baltimore, MD, USA.

Deepak V AlmeidaCenter for TB Research, Johns Hopkins University, Baltimore, MD, USA. deepak.almeida@gmail.com.

Paul J ConverseCenter for TB Research, Johns Hopkins University, Baltimore, MD, USA.

Eric L NuermbergerCenter for TB Research, Johns Hopkins University, Baltimore, MD, USA.

Johns Hopkins University · US

Funding

Closing the Gaps on Buruli Ulcer Diagnosis, Treatment, and PreventionR01AI113266 · NIAID · JOHNS HOPKINS UNIVERSITY · PI NUERMBERGER, ERIC L · 2016 to 2020

$4.4M

NIAID NIH HHS R01 AI113266

6 · The paper itself

Abstract

As acknowledged by the Clinical and Laboratory Standards Institute (CLSI), there is an insufficient evidence base on which to recommend a standard method for antimicrobial susceptibility testing against M. ulcerans. The agar proportion method has been recognized as the standard method for susceptibility testing against Mycobacterium tuberculosis complex (MTBC) isolates for decades (Woods GL, Engenack NL, Lin G, Turnidge JD (2018) CLSI standards: guidelines for health care excellence. Susceptibility testing of mycobacteria, Nocardia spp., and other aerobic Actinomycetes, 3rd edn. Clinical and Laboratory Standards Institute Copyright©2018 Clinical and Laboratory Standards Institute, Wayne (PA)). While it is more labor-intensive and requires larger amounts of drug or compound than broth-based testing, we recommend the agar proportion method for determination of minimum inhibitory concentrations against M. ulcerans. Herewith we present the method we implemented in our laboratory over the last 2 decades.

Indexed as

Mycobacterium ulceransAgarAnti-Bacterial AgentsMicrobial Sensitivity TestsPharmaceutical PreparationsAgarAnti-Bacterial AgentsPharmaceutical PreparationsAgar proportion methodBuruli ulcerIn vitro susceptibility testingMinimal inhibitory concentration (MIC)Mycobacterium ulcerans

Identifiers

PMID34643913

DOI10.1007/978-1-0716-1779-3_18

PMCPMC8996815

OpenAlexW3205274591

What OpenQuestion holds

Textmetadata

LicenceTDM

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.