Evidence map›Paper›PMID 33936480›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2020

Inferring ADR causality by predicting the Naranjo Score from Clinical Notes.

Bhanu Pratap Singh Rawat, Abhyuday Jagannatha, Feifan Liu, Hong Yu

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

4 authors.

Bhanu Pratap Singh RawatCollege of Information and Computer Science, University of Massachusetts Amherst.
Abhyuday JagannathaCollege of Information and Computer Science, University of Massachusetts Amherst.
Feifan LiuUniversity of Massachusetts Medical School, Worcester, MA.
Hong YuCollege of Information and Computer Science, University of Massachusetts Amherst.

Funding

EHR Anticoagulants PharmacovigilanceR01HL125089 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI YU, HONG · 2015 to 2019
$4.9M
NHLBI NIH HHS R01 HL125089
6 · The paper itself

Abstract

Clinical judgment studies are an integral part of drug safety surveillance and pharmacovigilance frameworks. They help quantify the causal relationship between medication and its adverse drug reactions (ADRs). To conduct such studies, physicians need to review patients' charts manually to answer Naranjo questionnaire

Indexed as

CausalityDrug-Related Side Effects and Adverse ReactionsPharmacovigilanceAdverse Drug Reaction Reporting SystemsAlgorithmsDecision Support Systems, ClinicalHumansLogistic ModelsPhysicians

Identifiers

PMID33936480
PMCPMC8075501

What OpenQuestion holds

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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.