Evidence map›Paper›PMID 36747725›Full record

ArticlebioRxiv : the preprint server for biology2023

Matthew E Griffin, Taku Tsukidate, Howard C Hang

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. 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

  • Updated by
    2023
5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Matthew E GriffinDepartment of Immunology and Microbiology, Scripps Research, La Jolla, CA 92037.
Taku TsukidateLaboratory of Chemical Biology and Microbial Pathogenesis, The Rockefeller University, New York, NY 10065.
Howard C HangDepartment of Immunology and Microbiology, Scripps Research, La Jolla, CA 92037.
Scripps Institution of Oceanography · USRockefeller University · US

Funding

Translation of commensal bacteria mechanism for immunotherapyR01CA245292 · NCI · SCRIPPS RESEARCH INSTITUTE, THE · PI HANG, HOWARD C · 2020 to 2024
$2.7M
NCI NIH HHS R01 CA245292
6 · The paper itself

Abstract

The characterization of microbiota mechanisms in health and disease has reinvigorated pattern recognition receptors as prominent targets for immunotherapy. Notably, our recent studies on

Identifiers

PMID36747725
PMCPMC9901186
OpenAlexW4318305528

What Socratic 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 Socratic graph.