Evidence map›Paper›PMID 37131703›Full record

ArticlebioRxiv : the preprint server for biology2024

Leveraging a new data resource to define the response of

Yu Sung Kang, Jeffery Jung, Holly Brown, Chase Mateusiak, Tamara L Doering, Michael R Brent

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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
–field-weighted citation impact
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, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Yu Sung KangThese authors contributed equally.ORCID 0009-0009-4605-6353
Jeffery JungThese authors contributed equally.
Holly BrownDepartment of Computer Science and Engineering, Washington University, St. Louis, MO 63108.ORCID 0009-0008-8157-5055
Chase MateusiakDepartment of Computer Science and Engineering, Washington University, St. Louis, MO 63108.ORCID 0000-0002-2890-4242
Tamara L DoeringDepartment of Molecular Microbiology, Washington University School of Medicine, St. Louis, MO 63110.ORCID 0000-0002-5179-7393
Michael R BrentCenter for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO 63110.ORCID 0000-0002-8689-0299
Washington University in St. Louis · US

Funding

CAPSULE REGULATION AND VIRULENCE IN CRYPTOCOCCUS NEOFORMANSR01AI087794 · NIAID · WASHINGTON UNIVERSITY · PI BRENT, MICHAEL R, DOERING, TAMARA L · 2011 to 2020
$4.1M
Natural genomic variants that influence cryptococcal pathogenicityR01AI146320 · NIAID · WASHINGTON UNIVERSITY · PI DOERING, TAMARA L · 2020 to 2024
$3.0M
Mapping and modeling transcription factor networksR35GM141012 · NIGMS · WASHINGTON UNIVERSITY · PI BRENT, MICHAEL R · 2021 to 2025
$2.0M
IDENTIFICATION OF NATURAL GENOMIC VARIANTS THAT INFLUENCE CRYPTOCOCCAL VIRULENCER21AI131206 · NIAID · WASHINGTON UNIVERSITY · PI BRENT, MICHAEL R, DOERING, TAMARA L · 2017 to 2018
$419k
NIAID NIH HHS R01 AI087794NIAID NIH HHS R01 AI146320NIAID NIH HHS R21 AI131206NIGMS NIH HHS R35 GM141012
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID37131703
PMCPMC10153387
OpenAlexW4366595671

What OpenQuestion holds

Textmetadata
LicenceCC BY-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.