ArticleBMC medical informatics and decision making2012
Performance evaluation of Unified Medical Language System®'s synonyms expansion to query PubMed.
Article in BMC medical informatics and decision making, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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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.
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.
Who cites it
15 citing papers in PubMed.
- Article
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- MRAgent: an LLM-based automated agent for causal knowledge discovery in disease via Mendelian randomization.Briefings in bioinformatics · 2025Article
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- Identifying Suicidal Ideation and Attempt From Clinical Notes Within a Large Integrated Health Care System.The Permanente journal · 2022Article
- Prevalence and Characteristics of Chronic Cough in Adults Identified by Administrative Data.The Permanente journal · 2020Observational
- Identification of the Best Semantic Expansion to Query PubMed Through Automatic Performance Assessment of Four Search Strategies on All Medical Subject Heading Descriptors: Comparative Study.JMIR medical informatics · 2020Article
- The use of natural language processing to identify vaccine-related anaphylaxis at five health care systems in the Vaccine Safety Datalink.Pharmacoepidemiology and drug safety · 2020Article
- Public Opinions Toward Diseases: Infodemiological Study on News Media Data.Journal of medical Internet research · 2018Article
- Development and empirical user-centered evaluation of semantically-based query recommendation for an electronic health record search engine.Journal of biomedical informatics · 2017Article
- Enhanced LexSynonym Acquisition for Effective UMLS Concept Mapping.Studies in health technology and informatics · 2017Article
- Searching for rare diseases in PubMed: a blind comparison of Orphanet expert query and query based on terminological knowledge.BMC medical informatics and decision making · 2016Article
- GO2PUB: Querying PubMed with semantic expansion of gene ontology terms.Journal of biomedical semantics · 2012Article
- Synonym, topic model and predicate-based query expansion for retrieving clinical documents.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPubMed is the main access to medical literature on the Internet. In order to enhance the performance of its information retrieval tools, primarily non-indexed citations, the authors propose a method: expanding users' queries using Unified Medical Language System' (UMLS) synonyms i.e. all the terms gathered under one unique Concept Unique Identifier.
methodsThis method was evaluated using queries constructed to emphasize the differences between this new method and the current PubMed automatic term mapping. Four experts assessed citation relevance.
resultsUsing UMLS, we were able to retrieve new citations in 45.5% of queries, which implies a small increase in recall. The new strategy led to a heterogeneous 23.7% mean increase in non-indexed citation retrieved. Of these, 82% have been published less than 4 months earlier. The overall mean precision was 48.4% but differed according to the evaluators, ranging from 36.7% to 88.1% (Inter rater agreement was poor: kappa = 0.34).
conclusionsThis study highlights the need for specific search tools for each type of user and use-cases. The proposed strategy may be useful to retrieve recent scientific advancement.
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What OpenQuestion holds
Registered trials
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.