Evidence map›Paper›PMID 29854147›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2017

When synonyms are not enough: Optimal parenthetical insertion for text simplification.

Yang Gu, Gondy Leroy, David Kauchak

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. A survey of automated methods for biomedical text simplification.Journal of the American Medical Informatics Association : JAMIA · 2022
    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

3 authors.

Yang GuUniversity of Arizona, Tucson, AZ.
Gondy LeroyUniversity of Arizona, Tucson, AZ.
David KauchakPomona College, Claremont, CA.

Funding

Evidence-based Strategy and Tool to Simplify Text for Patients and ConsumersR01LM011975 · NLM · UNIVERSITY OF ARIZONA · PI LEROY, GONDY · 2015 to 2024
$2.9M
NLM NIH HHS R01 LM011975
6 · The paper itself

Abstract

As more patients use the Internet to answer health-related queries, simplifying medical information is becoming increasingly important. To simplify medical terms when synonyms are unavailable, we must add multi-word explanations. Following a data-driven approach, we conducted two user studies to determine the best formulation for adding explanatory content as parenthetical expressions. Study 1 focused on text with a single difficult term (N=260). We examined the effects of different types of text, types of content in parentheses, difficulty of the explanatory content, and position of the term in the sentence on actual difficulty, perceived difficulty, and reading time. We found significant support that enclosing the difficult term in parentheses is best for difficult text and enclosing the explanation in parentheses is best for simple text. Study 2 (N=116) focused on lists with multiple difficult terms. The same interaction is present although statistically insignificant, but parenthetical insertion can still significantly simplify text.

Indexed as

ComprehensionConsumer Health InformationInternetTerminology as TopicVocabularyAdultAnalysis of VarianceConsumer Health InformaticsFemaleHumansMaleMiddle AgedReading

Identifiers

PMID29854147
PMCPMC5977593

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.