ArticleCancers2020
Machine Learning Algorithms to Predict Recurrence within 10 Years after Breast Cancer Surgery: A Prospective Cohort Study.
Article in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 4 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
29 citing papers in PubMed, 4 syntheses or guidelines pooled it, 65 citations in OpenAlex.
- Classification of neurodegenerative diseases using brain effective connectivity and machine learning techniques: a systematic review.Frontiers in neurology · 2025Pooled it
- The usefulness of artificial intelligence in breast reconstruction: a systematic review.Breast cancer (Tokyo, Japan) · 2024Pooled it
- Predictive value of machine learning for breast cancer recurrence: a systematic review and meta-analysis.Journal of cancer research and clinical oncology · 2023Pooled it
- Present and future of machine learning in breast surgery: systematic review.The British journal of surgery · 2022Pooled it
- AI Trustworthiness in the Perioperative Period for Patients with Serious Illness: Scoping Narrative Review.JMIR perioperative medicine · 2026Article
- Applications of Artificial Intelligence (AI) in Breast Cancer Care Delivery and Education: A Scoping Review.International journal of environmental research and public health · 2026Article
- Machine learning for early prediction of secondary cancer after radiotherapy.Scientific reports · 2025Article
- Predicting cancer mortality using machine learning methods: a global vs. Iran analysis.BMC cancer · 2025Article
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- Investigating the Prognostic Role of Telomerase-Related Cellular Senescence Gene Signatures in Breast Cancer Using Machine Learning.Biomedicines · 2025Article
- Machine learning prediction of breast cancer local recurrence localization, and distant metastasis after local recurrences.Scientific reports · 2025Article
- Enhancing breast cancer prediction through stacking ensemble and deep learning integration.PeerJ. Computer science · 2025Article
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- Utilizing patient data: A tutorial on predicting second cancer with machine learning models.Cancer medicine · 2024Article
- Predicting disease recurrence in breast cancer patients using machine learning models with clinical and radiomic characteristics: a retrospective study.Journal of the Egyptian National Cancer Institute · 2024Article
- Prediction of subsequent fragility fractures: application of machine learning.BMC musculoskeletal disorders · 2024Article
- Use of artificial intelligence in breast surgery: a narrative review.Gland surgery · 2024Review
- Performance assessment of hybrid machine learning approaches for breast cancer and recurrence prediction.PloS one · 2024Article
- Predicting early breast cancer recurrence from histopathological images in the Carolina Breast Cancer Study.NPJ breast cancer · 2023Article
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 at 6 institutions in 1 country.
Funding
Abstract
No studies have discussed machine learning algorithms to predict recurrence within 10 years after breast cancer surgery. This study purposed to compare the accuracy of forecasting models to predict recurrence within 10 years after breast cancer surgery and to identify significant predictors of recurrence. Registry data for breast cancer surgery patients were allocated to a training dataset (
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.