Evidence map›Paper›PMID 35284659›Full record

ArticleJournal of clinical tuberculosis and other mycobacterial diseases2022

Naasson Tuyiringire, Ivan Taremwa Mugisha, Deusdedit Tusubira, Jean-Pierre Munyampundu, Claude Mambo Muvunyi, Yvan Vander Heyden

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

Article in Journal of clinical tuberculosis and other mycobacterial diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

2 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. 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

6 authors at 4 institutions in 3 countries.

Naasson TuyiringirePharm-BioTechnology and Traditional Medicine Centre (PHARMBIOTRAC), Department of Pharmacy, Mbarara University of Science & Technology, P. O. Box 1410, Mbarara, Uganda.
Ivan Taremwa MugishaInstitute of Applied Health Sciences, Clarke International University, P.O. Box 7782, Kampala, Uganda.
Deusdedit TusubiraDepartment of Biochemistry, Mbarara University of Science and Technology, P. O. Box 1410, Mbarara, Uganda.
Jean-Pierre MunyampunduSchool of Science, College of Science and Technology, University of Rwanda, KN 67 Street Nyarugenge, P.O. Box 3900, Kigali, Rwanda.
Claude Mambo MuvunyiCollege of Medicine and Health Sciences, University of Rwanda, KG11 Ave, 47St/P.O. Box 3286, Kigali, Rwanda.
Yvan Vander HeydenDepartment of Analytical Chemistry, Applied Chemometrics and Molecular Modelling, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, B-1090 Brussels, Belgium.
Mbarara University of Science and Technology · UGUniversity of Rwanda · RWClarke International University · UGVrije Universiteit Brussel · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Imperative need exists to search for new anti-TB drugs that are safer, and more effective against drug-resistant strains. Medicinal plants have been the source of active ingredients for drug development. However, the slow growth and biosafety level requirements of Materials and Methods: Crude methanolic extracts, obtained from the leaves of Results: The three methanolic extracts inhibited mycobacterial growth in vitro. They were more active against rifampicin-resistant strain with MICs of 176, 97, and 45 µg/mL for Conclusions: Leaves of

Indexed as

C. sanguinolentaIn vitro activityL. camaraMedicinal plantsMinimum inhibitory concentrationM. smegmatisM. tuberculosisResazurin microtiter assayZ. leprieurii

Identifiers

PMID35284659
PMCPMC8904236
OpenAlexW4214942537

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.