Evidence map›Paper›PMID 32267997›Full record

ArticleClinical and translational science2020

Quantification of Natural Growth of Two Strains of Mycobacterium Marinum for Translational Antituberculosis Drug Development.

Rob C Van Wijk, Astrid M van der Sar, Elke H J Krekels, Theo Verboom, Herman P Spaink, Ulrika S H Simonsson, Piet H van der Graaf

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Clinical and translational science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.1field-weighted citation impact, top 43% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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  4. Review
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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

7 authors at 4 institutions in 2 countries.

Rob C Van WijkSystems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands.
Astrid M van der SarDepartment of Medical Microbiology and Infection Control, VU University Medical Center, Amsterdam, The Netherlands.
Elke H J KrekelsSystems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands.
Theo VerboomDepartment of Medical Microbiology and Infection Control, VU University Medical Center, Amsterdam, The Netherlands.
Herman P SpainkDivision of Animal Sciences and Health, Institute of Biology Leiden, Leiden University, Leiden, The Netherlands.
Ulrika S H SimonssonDepartment of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden.
Piet H van der GraafSystems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands.
Centre for Human Drug Research · NLAmsterdam UMC Location VUmc · NLLeiden University · NLUppsala University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The zebrafish infected with Mycobacterium marinum (M. marinum) is an attractive tuberculosis disease model, showing similar pathogenesis to Mycobacterium tuberculosis (M. tuberculosis) infections in humans. To translate pharmacological findings from this disease model to higher vertebrates, a quantitative understanding of the natural growth of M. marinum in comparison to the natural growth of M. tuberculosis is essential. Here, the natural growth of two strains of M. marinum, E11 and M

Indexed as

AnimalsAntitubercular AgentsColony Count, MicrobialDisease Models, AnimalDrug Evaluation, PreclinicalHumansModels, BiologicalMycobacterium marinumMycobacterium tuberculosisTuberculosisZebrafishAntitubercular Agents

Identifiers

PMID32267997
PMCPMC7719371
OpenAlexW3014382507

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.