Evidence map›Paper›PMID 37214239›Full record

ArticleFrontiers in endocrinology2023

Editorial: Artificial intelligence for data discovery and reuse in endocrinology and metabolism.

Claudio Angione, Huajin Wang, Noël Burtt

Abstract readEditorial
In one paragraph

Article in Frontiers in endocrinology, 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.

No citing paper in PubMed yet.

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

3 authors.

Claudio AngioneSchool of Computing, Engineering and Digital Technologies, Teesside University, North Yorkshire, United Kingdom.
Huajin WangOpen Science & Data Collaborations, Carnegie Mellon University, Pittsburgh, PA, United States.
Noël BurttMedical and Population Genetics Program and Metabolism Program, The Broad Institute of MIT and Harvard, Cambridge, MA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Artificial IntelligenceEndocrinologyAlgorithmsMachine Learningmachine learningmechanism & characterizationmulti-modalmulti-omic integrationsystems biology

Identifiers

PMID37214239
PMCPMC10196622

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.