Evidence map›Paper›PMID 36275475›Full record

ArticlePeerJ2022

Terrien, a metabolite made by

Melissa Cadelis, Alex Grey, Shara van de Pas, Soeren Geese, Bevan S Weir, Brent Copp, Siouxsie Wiles

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Searching for new antifungals for the treatment of cryptococcosis.Revista da Sociedade Brasileira de Medicina Tropical · 2023
    Review
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 1 country.

Melissa CadelisSchool of Chemical Sciences, University of Auckland, Auckland, New Zealand.
Alex GreyBioluminescent Superbugs Lab, Department of Molecular Medicine and Pathology, University of Auckland, Auckland, New Zealand.
Shara van de PasBioluminescent Superbugs Lab, Department of Molecular Medicine and Pathology, University of Auckland, Auckland, New Zealand.
Soeren GeeseBioluminescent Superbugs Lab, Department of Molecular Medicine and Pathology, University of Auckland, Auckland, New Zealand.
Bevan S WeirManaaki Whenua - Landcare Research, Auckland, New Zealand.ORCID 0000-0003-2580-0701
Brent CoppSchool of Chemical Sciences, University of Auckland, Auckland, New Zealand.
Siouxsie WilesBioluminescent Superbugs Lab, Department of Molecular Medicine and Pathology, University of Auckland, Auckland, New Zealand.ORCID 0000-0002-0467-0015
University of Auckland · NZManaaki Whenua – Landcare Research · NZ

Funding

Wellcome Trust
6 · The paper itself

Abstract

Antimicrobial compounds, including antibiotics, have been a cornerstone of modern medicine being able to both treat infections and prevent infections in at-risk people, including those who are immune-compromised and those undergoing routine surgical procedures. Their intense use, including in people, animals, and plants, has led to an increase in the incidence of resistant bacteria and fungi, resulting in a desperate need for novel antimicrobial compounds with new mechanisms of action. Many antimicrobial compounds in current use originate from microbial sources, such as penicillin from the fungus

Indexed as

Anti-Infective AgentsCryptococcus neoformansAnimalsAnti-Bacterial AgentsAspergillusBacteriaHumansAnti-Bacterial AgentsAnti-Infective AgentsAntibiotic discoveryAnti-fungal activityAntimicrobial testingCryptococcus neoformansFungal secondary metabolitesMycobacteriaNatural compoundsStaphylococcus aureus

Identifiers

PMID36275475
PMCPMC9586122
OpenAlexW4306681734

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.