ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2008
Semantic processing to support clinical guideline development.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled 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.
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
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Using text mining for study identification in systematic reviews: a systematic review of current approaches.Systematic reviews · 2015Pooled it
- Broad-coverage biomedical relation extraction with SemRep.BMC bioinformatics · 2020Article
- Automatically finding relevant citations for clinical guideline development.Journal of biomedical informatics · 2015Article
- Networks of neuroinjury semantic predications to identify biomarkers for mild traumatic brain injury.Journal of biomedical semantics · 2015Article
- A new iterative method to reduce workload in systematic review process.International journal of computational biology and drug design · 2013Article
- Text summarization as a decision support aid.BMC medical informatics and decision making · 2012Article
- Applying semantic-based probabilistic context-free grammar to medical language processing--a preliminary study on parsing medication sentences.Journal of biomedical informatics · 2011Article
- Adapting Semantic Natural Language Processing Technology to Address Information Overload in Influenza Epidemic Management.Journal of the American Society for Information Science and Technology : JASIST · 2010Article
- Combining relevance assignment with quality of the evidence to support guideline development.Studies in health technology and informatics · 2010Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Clinical practice guidelines are one of the main resources for communicating evidence-based practice to health professionals. During guideline development, questions that express a knowledge gap are answered by finding relevant citations in MEDLINE and other biomedical databases. Determining citation relevance involves extensive manual review. We propose an automated method for finding relevant citations based on guideline question classification, semantic processing, and rules that match question classes with semantic predications. In this initial study, we focused on a pediatric cardiovascular risk factor guideline. The overall performance of the system was 40% recall, 88% precision (F0.5-score 0.71), and 98% specificity. We show that relevant and nonrelevant citations have clinically different semantic characteristics and suggest that this method has the potential to improve the efficiency of the literature review process in guideline development.
Indexed as
Identifiers
18999127PMC2656081What 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.