Evidence map›Paper›PMID 36826708›Full record

ArticleDrug safety2023

Correction to: Artificial Intelligence Based on Machine Learning in Pharmacovigilance: A Scoping Review.

Benjamin Kompa, Joe B Hakim, Anil Palepu, Kathryn Grace Kompa, Michael Smith, Paul A Bain, Stephen Woloszynek, Jeffery L Painter, Andrew Bate, Andrew L Beam

Abstract readPublished Erratum
PubMed Full text at PMC Publisher
In one paragraph

Article in Drug safety, 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

5 · Who and what money

Authors and funding

10 authors.

Benjamin KompaDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
Joe B HakimDepartment of Health Sciences and Technology, Harvard-MIT, Cambridge, MA, USA.
Anil PalepuDepartment of Health Sciences and Technology, Harvard-MIT, Cambridge, MA, USA.
Kathryn Grace KompaTufts University School of Medicine, Boston, MA, USA.
Michael SmithDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Paul A BainCountway Library of Medicine, Harvard Medical School, Boston, MA, USA.
Stephen WoloszynekBeth Israel Deaconess Medical Center, Boston, MA, USA.
Jeffery L PainterGlaxoSmithKline, Durham, NC, USA.
Andrew BateGlaxoSmithKline, Brentford, UK.
Andrew L BeamDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA. Andrew_Beam@hms.harvard.edu.

Funding

Predicting Pulmonary and Cardiac Morbidity in Preterm Infants with Deep LearningK01HL141771 · NHLBI · HARVARD SCHOOL OF PUBLIC HEALTH · PI BEAM, ANDREW L. · 2019 to 2023
$832k
NHLBI NIH HHS K01 HL141771
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID36826708
PMCPMC10113353

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.