ArticleJournal of the American Medical Informatics Association : JAMIA
Automatically extracting sentences from Medline citations to support clinicians' information needs.
Article in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Advancing Alzheimer's research: A review of big data promises.International journal of medical informatics · 2017Pooled it
- CERC: an interactive content extraction, recognition, and construction tool for clinical and biomedical text.BMC medical informatics and decision making · 2020Article
- Broad-coverage biomedical relation extraction with SemRep.BMC bioinformatics · 2020Article
- Transforming primary medical research knowledge into clinical decision.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2020Article
- Biomedical text mining for research rigor and integrity: tasks, challenges, directions.Briefings in bioinformatics · 2018Article
- Examining the role of MEDLINE as a patient care information resource: an analysis of data from the Value of Libraries study.Journal of the Medical Library Association : JMLA · 2017Article
- Classification of clinically useful sentences in clinical evidence resources.Journal of biomedical informatics · 2016Article
- Formative evaluation of a patient-specific clinical knowledge summarization tool.International journal of medical informatics · 2016Article
- A Natural Language Processing Tool for Large-Scale Data Extraction from Echocardiography Reports.PloS one · 2016Article
- Networks of neuroinjury semantic predications to identify biomarkers for mild traumatic brain injury.Journal of biomedical semantics · 2015Article
- Operationalizing Semantic Medline for meeting the information needs at point of care.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2015Article
- Mining Biomedical Literature to Explore Interactions between Cancer Drugs and Dietary Supplements.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2015Article
- An automated approach for ranking journals to help in clinician decision support.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2014Article
- A methodology for extending domain coverage in SemRep.Journal of biomedical informatics · 2013Article
- Extending SemRep to the Public Health Domain.Journal of the American Society for Information Science and Technology : JASIST · 2013Article
- Automatically extracting clinically useful sentences from UpToDate to support clinicians' information needs.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2013Article
- Automatic identification of comparative effectiveness research from medline citations to support clinicians' treatment information needs.Studies in health technology and informatics · 2013Article
- SemMedDB: a PubMed-scale repository of biomedical semantic predications.Bioinformatics (Oxford, England) · 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
Abstract
objectiveOnline health knowledge resources contain answers to most of the information needs raised by clinicians in the course of care. However, significant barriers limit the use of these resources for decision-making, especially clinicians' lack of time. In this study we assessed the feasibility of automatically generating knowledge summaries for a particular clinical topic composed of relevant sentences extracted from Medline citations.
methodsThe proposed approach combines information retrieval and semantic information extraction techniques to identify relevant sentences from Medline abstracts. We assessed this approach in two case studies on the treatment alternatives for depression and Alzheimer's disease.
resultsA total of 515 of 564 (91.3%) sentences retrieved in the two case studies were relevant to the topic of interest. About one-third of the relevant sentences described factual knowledge or a study conclusion that can be used for supporting information needs at the point of care.
conclusionsThe high rate of relevant sentences is desirable, given that clinicians' lack of time is one of the main barriers to using knowledge resources at the point of care. Sentence rank was not significantly associated with relevancy, possibly due to most sentences being highly relevant. Sentences located closer to the end of the abstract and sentences with treatment and comparative predications were likely to be conclusive sentences. Our proposed technical approach to helping clinicians meet their information needs is promising. The approach can be extended for other knowledge resources and information need types.
Indexed as
Identifiers
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.