ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2012
Automated extraction of reported statistical analyses: towards a logical representation of clinical trial literature.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Automating data extraction in systematic reviews: a systematic review.Systematic reviews · 2015Pooled it
- SPIRIT-CONSORT-TM: a corpus for assessing transparency of clinical trial protocol and results publications.Scientific data · 2025Article
- SPIRIT-CONSORT-TM: a corpus for assessing transparency of clinical trial protocol and results publications.medRxiv : the preprint server for health sciences · 2025Article
- Text classification models for assessing the completeness of randomized controlled trial publications based on CONSORT reporting guidelines.Scientific reports · 2024Article
- CONSORT-TM: Text classification models for assessing the completeness of randomized controlled trial publications.medRxiv : the preprint server for health sciences · 2024Article
- A Scoping Review of Adopted Information Extraction Methods for RCTs.Medical journal of the Islamic Republic of Iran · 2023Article
- Toward assessing clinical trial publications for reporting transparency.Journal of biomedical informatics · 2021Article
- Improving reference prioritisation with PICO recognition.BMC medical informatics and decision making · 2019Article
- Interactive Visual Displays for Interpreting the Results of Clinical Trials: Formative Evaluation With Case Vignettes.Journal of medical Internet research · 2018Article
- Physicians' perception of alternative displays of clinical research evidence for clinical decision support - A study with case vignettes.Journal of biomedical informatics · 2017Article
- 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
- Evaluating a Novel Summary Visualization for Clinical Trial Reports: A Usability Study.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2016Article
- Systematic review automation technologies.Systematic reviews · 2014Article
- A formal representation for numerical data presented in published clinical trial reports.Studies in health technology and informatics · 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
3 authors.
Funding
Abstract
Randomized controlled trials are an important source of evidence for guiding clinical decisions when treating a patient. However, given the large number of studies and their variability in quality, determining how to summarize reported results and formalize them as part of practice guidelines continues to be a challenge. We have developed a set of information extraction and annotation tools to automate the identification of key information from papers related to the hypothesis, sample size, statistical test, confidence interval, significance level, and conclusions. We adapted the Automated Sequence Annotation Pipeline to map extracted phrases to relevant knowledge sources. We trained and tested our system on a corpus of 42 full-text articles related to chemotherapy of non-small cell lung cancer. On our test set of 7 papers, we obtained an overall precision of 86%, recall of 78%, and an F-score of 0.82 for classifying sentences. This work represents our efforts towards utilizing this information for quality assessment, meta-analysis, and modeling.
Indexed as
Identifiers
23304305PMC3540551What 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.