ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2008
Automated information extraction of key trial design elements from clinical trial publications.
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 27 papers, 2 of them syntheses 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
27 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Data extraction methods for systematic review (semi)automation: Update of a living systematic review.F1000Research · 2021Pooled it
- Automating data extraction in systematic reviews: a systematic review.Systematic reviews · 2015Pooled it
- Methodological information extraction from randomized controlled trial publications: a pilot study.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2022Trial
- Applying machine learning to enhance core outcome set development: automating the data extraction and classification of outcomes.Journal of orthopaedic surgery and research · 2025Article
- An analysis of published study designs in PubMed prisoner health abstracts from 1963 to 2023: a text mining study.BMC medical research methodology · 2024Review
- A comparison of machine learning methods to find clinical trials for inclusion in new systematic reviews from their PROSPERO registrations prior to searching and screening.Research synthesis methods · 2024Article
- Automatic Extraction of Research Themes in Epidemiological Criminology From PubMed Abstracts From 1946 to 2020: Text Mining Study.JMIR formative research · 2023Article
- Automating Quality Assessment of Medical Evidence in Systematic Reviews: Model Development and Validation Study.Journal of medical Internet research · 2023Article
- The automation of relevant trial registration screening for systematic review updates: an evaluation study on a large dataset of ClinicalTrials.gov registrations.BMC medical research methodology · 2021Article
- Text mining approaches for dealing with the rapidly expanding literature on COVID-19.Briefings in bioinformatics · 2021Review
- Is it time for computable evidence synthesis?Journal of the American Medical Informatics Association : JAMIA · 2020Article
- Improving reference prioritisation with PICO recognition.BMC medical informatics and decision making · 2019Article
- Bridging semantics and syntax with graph algorithms-state-of-the-art of extracting biomedical relations.Briefings in bioinformatics · 2017Article
- Extractive text summarization system to aid data extraction from full text in systematic review development.Journal of biomedical informatics · 2016Article
- PDF text classification to leverage information extraction from publication reports.Journal of biomedical informatics · 2016Article
- Machine learning to assist risk-of-bias assessments in systematic reviews.International journal of epidemiology · 2016Article
- Mining characteristics of epidemiological studies from Medline: a case study in obesity.Journal of biomedical semantics · 2014Article
- eTACTS: a method for dynamically filtering clinical trial search results.Journal of biomedical informatics · 2013Article
- Unsupervised mining of frequent tags for clinical eligibility text indexing.Journal of biomedical informatics · 2013Article
- A method for discovering and inferring appropriate eligibility criteria in clinical trial protocols without labeled data.BMC medical informatics and decision making · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Clinical trials are one of the most valuable sources of scientific evidence for improving the practice of medicine. The Trial Bank project aims to improve structured access to trial findings by including formalized trial information into a knowledge base. Manually extracting trial information from published articles is costly, but automated information extraction techniques can assist. The current study highlights a single architecture to extract a wide array of information elements from full-text publications of randomized clinical trials (RCTs). This architecture combines a text classifier with a weak regular expression matcher. We tested this two-stage architecture on 88 RCT reports from 5 leading medical journals, extracting 23 elements of key trial information such as eligibility rules, sample size, intervention, and outcome names. Results prove this to be a promising avenue to help critical appraisers, systematic reviewers, and curators quickly identify key information elements in published RCT articles.
Indexed as
Identifiers
18999067PMC2655966What 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.