Evidence map›Paper›PMID 30815076›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2018

Finding medication doses in the liteature.

Dina Demner-Fushman, James G Mork, Willie J Rogers, Sonya E Shooshan, Laritza Rodriguez, Alan R Aronson

Abstract read
PubMed Full text at PMC
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
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

6 authors.

Dina Demner-FushmanNational Library of Medicine, National Institutes of Health, HHS, Bethesda, MD, USA.
James G MorkNational Library of Medicine, National Institutes of Health, HHS, Bethesda, MD, USA.
Willie J RogersNational Library of Medicine, National Institutes of Health, HHS, Bethesda, MD, USA.
Sonya E ShooshanNational Library of Medicine, National Institutes of Health, HHS, Bethesda, MD, USA.
Laritza RodriguezNational Library of Medicine, National Institutes of Health, HHS, Bethesda, MD, USA.
Alan R AronsonNational Library of Medicine, National Institutes of Health, HHS, Bethesda, MD, USA.

Funding

Semantic indexing of biomedical publications and clinical textZIALM010005 · NLM · NATIONAL LIBRARY OF MEDICINE · PI DEMNER-FUSHMAN, DINA · 2016 to 2020
$4.0M
6 · The paper itself

Abstract

Medication doses, one of the determining factors in medication safety and effectiveness, are present in the literature, but only in free-text form. We set out to determine if the systems developed for extracting drug prescription information from clinical text would yield comparable results on scientific literature and if sequence-to-sequence learning with neural networks could improve over the current state-of-the-art. We developed a collection of 694 PubMed Central documents annotated with drug dose information using the i2b2 schema. We found that less than half of the drug doses are present in the MEDLINE/PubMed abstracts, and full-text is needed to identify the other half. We identified the differences in the scope and formatting of drug dose information in the literature and clinical text, which require developing new dose extraction approaches. Finally, we achieved 83.9% recall, 87.2% precision and 85.5% F

Indexed as

Deep LearningNeural Networks, ComputerPubMedDrug Administration RoutesDrug Administration ScheduleDrug Dosage CalculationsHumansInformation Storage and RetrievalPharmaceutical PreparationsPharmaceutical Preparations

Identifiers

PMID30815076
PMCPMC6371291

What OpenQuestion holds

Textmetadata
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.