ArticleCancers2023
Replication of Real-World Evidence in Oncology Using Electronic Health Record Data Extracted by Machine Learning.
Article in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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
26 citing papers in PubMed.
- AI-Enabled Real-World Evidence in Oncology: A Statistical Perspective for Regulatory Decisions.Therapeutic innovation & regulatory science · 2026Review
- The Pan-Tumor Landscape of Gene Amplifications and Copy Number Amplification Ratio for Established and Emerging Clinical Targets.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026Article
- Validating large language model-assisted data extraction from clinical notes.ESMO real world data and digital oncology · 2026Article
- Real-world progression-free survival 2 (PFS2) and tumor response of CDK4/6 inhibitors plus an aromatase inhibitor in patients with HR+/HER2- metastatic breast cancer in US routine clinical practice.Breast (Edinburgh, Scotland) · 2026Observational
- Real-world treatment durations, subsequent treatments, and switching of CDK4/6 inhibitors among patients with HR+/HER2- metastatic breast cancer.The oncologist · 2026Observational
- Maximizing the impact of real-world evidence on cancer treatment: what do we need to achieve it?Journal of comparative effectiveness research · 2026Review
- Ensuring Reliability of Curated Electronic Health Record-Derived Data: The Validation of Accuracy for Large Language Model-/Machine Learning-Extracted Information and Data (VALID) Framework.JCO clinical cancer informatics · 2026Article
- Artificial Intelligence for the Diagnosis and Management of Cancers: Potentials and Challenges.MedComm · 2025Review
- Real-World Evidence: Methodologies for Integrating Real-World Data into Clinical Research Frameworks.Journal of orthopaedic case reports · 2025Article
- First-line cyclin-dependent kinase 4 and 6 inhibitors in combination with an aromatase inhibitor for HR+/HER2- metastatic breast cancer: A real-world cost-effectiveness assessment in a US Medicare-eligible population.Journal of managed care & specialty pharmacy · 2025Article
- MISTIC: a novel approach for metastasis classification in Italian electronic health records using transformers.BMC medical informatics and decision making · 2025Article
- Article
- A Thorough Review of the Clinical Applications of Artificial Intelligence in Lung Cancer.Cancers · 2025Review
- Data analytics for real-world data integration in TKI-treated NSCLC patients using electronic health records.ESMO real world data and digital oncology · 2025Article
- Characterisation of oncology EHR-derived real-world data in the UK, Germany, and Japan.ESMO real world data and digital oncology · 2025Review
- Re-Envisioning Electronic Health Records to Optimize Patient-Centered Cancer Care, Quality, Surveillance, and Research.JCO oncology practice · 2025Article
- Article
- Nursing Records Regarding Decision-Making in Cancer Supportive Care: A Retrospective Study in Japan.Healthcare informatics research · 2024Article
- Artificial Intelligence in Medical Affairs: A New Paradigm with Novel Opportunities.Pharmaceutical medicine · 2024Review
- Real-World Treatment Patterns and Clinical Outcomes among Patients Receiving CDK4/6 Inhibitors for Metastatic Breast Cancer in a Canadian Setting Using AI-Extracted Data.Current oncology (Toronto, Ont.) · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Meaningful real-world evidence (RWE) generation requires unstructured data found in electronic health records (EHRs) which are often missing from administrative claims; however, obtaining relevant data from unstructured EHR sources is resource-intensive. In response, researchers are using natural language processing (NLP) with machine learning (ML) techniques (i.e.,
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.