Evidence map›Paper›PMID 29632372›Full record

ArticleScientific reports2018

Improving treatment outcome assessment in a mouse tuberculosis model.

Bas C Mourik, Robin J Svensson, Gerjo J de Knegt, Hannelore I Bax, Annelies Verbon, Ulrika S H Simonsson, Jurriaan E M de Steenwinkel

Open access · goldAbstract readComparative Study
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 21% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

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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 2 institutions in 2 countries.

Bas C MourikDepartment of Medical Microbiology & Infectious Diseases, Erasmus University Medical Center, Rotterdam, The Netherlands.
Robin J SvenssonDepartment of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden.
Gerjo J de KnegtDepartment of Medical Microbiology & Infectious Diseases, Erasmus University Medical Center, Rotterdam, The Netherlands.
Hannelore I BaxDepartment of Internal Medicine, Section of Infectious Diseases, Erasmus University Medical Center, Rotterdam, The Netherlands.
Annelies VerbonDepartment of Internal Medicine, Section of Infectious Diseases, Erasmus University Medical Center, Rotterdam, The Netherlands.
Ulrika S H SimonssonDepartment of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden.
Jurriaan E M de SteenwinkelDepartment of Medical Microbiology & Infectious Diseases, Erasmus University Medical Center, Rotterdam, The Netherlands. j.desteenwinkel@erasmusmc.nl.
Erasmus MC · NLUppsala University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Preclinical treatment outcome evaluation of tuberculosis (TB) occurs primarily in mice. Current designs compare relapse rates of different regimens at selected time points, but lack information about the correlation between treatment length and treatment outcome, which is required to efficiently estimate a regimens' treatment-shortening potential. Therefore we developed a new approach. BALB/c mice were infected with a Mycobacterium tuberculosis Beijing genotype strain and were treated with rifapentine-pyrazinamide-isoniazid-ethambutol (R

Indexed as

Administration, OralAnimalsAntitubercular AgentsDisease Models, AnimalDrug Therapy, CombinationEthambutolFemaleGenotypeHumansMiceMice, Inbred BALB CModels, TheoreticalMoxifloxacinMycobacterium tuberculosisPyrazinamideRifampinAntitubercular AgentsEthambutolMoxifloxacinPyrazinamideRifampinrifapentine

Identifiers

PMID29632372
PMCPMC5890284
OpenAlexW2798116053

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.