ArticleAnnals of translational medicine2020
Clinical prediction models in the precision medicine era: old and new algorithms.
Article in Annals of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed.
- Early prediction of noninvasive ventilation failure after extubation: development and validation of a machine-learning model.BMC pulmonary medicine · 2022Trial
- Article
- Machine learning-assisted prognostic model for mortality in ICU patients with culture-confirmedFrontiers in cellular and infection microbiology · 2026Article
- Online Clinical Calculator for Predicting 28-Day Mortality in Older Adult Patients With Sepsis-Associated Encephalopathy: Retrospective Study Using MIMIC-IV.JMIR medical informatics · 2025Article
- Development and validation of a machine-learning model for predicting prognosis in critically ill patients undergoing major surgery.BMC medical informatics and decision making · 2025Article
- Machine Learning Nomogram for Predicting Dengue Shock Syndrome in Pediatric Patients With Dengue Fever in Vietnam.Cureus · 2025Article
- Article
- Using machine-learning models to predict extubation failure in neonates with bronchopulmonary dysplasia.BMC pulmonary medicine · 2024Article
- Risk prediction models for postpartum glucose intolerance in women with a history of gestational diabetes mellitus: a scoping review.Journal of diabetes and metabolic disorders · 2024Article
- Risk Factors and Prediction of 28-Day-All Cause Mortality Among Critically Ill Patients with Acute Pancreatitis Using Machine Learning Techniques: A Retrospective Analysis of Multi-Institutions.Journal of inflammation research · 2024Article
- ASO Author Reflections: Enhancing Preoperative Decision-Making by Using the BCSRc to Predict Breast Cancer Surgery Complications.Annals of surgical oncology · 2023Article
- External Validation of the Breast Cancer Surgery Risk Calculator (BCSRc): A Predictive Model for Postoperative Complications.Annals of surgical oncology · 2023Article
- Development and Validation of Esophageal Squamous Cell Carcinoma Risk Prediction Models Based on an Endoscopic Screening Program.JAMA network open · 2023Article
- Interpreting Infrared Thermography with Deep Learning to Assess the Mortality Risk of Critically Ill Patients at Risk of Hypoperfusion.Reviews in cardiovascular medicine · 2023Article
- A novel lower extremity non-contact injury risk prediction model based on multimodal fusion and interpretable machine learning.Frontiers in physiology · 2022Article
- Editorial: Perioperative hemodynamic monitoring and management.Frontiers in medicine · 2022Article
- Development and Validation of a Machine-Learning Model for Prediction of Extubation Failure in Intensive Care Units.Frontiers in medicine · 2021Article
- Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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.