ArticleScientific reports2018
Prognostication and Risk Factors for Cystic Fibrosis via Automated Machine Learning.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07770854 (Machine Learning Prediction of Pulmonary Function in Children With Cystic Fibrosis), which is not on this map. Cited by 26 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.
Machine Learning Prediction of Pulmonary Function in Children With Cystic Fibrosis: Multidimensional Analysis of Peripheral Muscle Oxygenation, Postural Balance, and Clinical-Functional Markers
Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Recent applications of quantitative systems pharmacology and machine learning models across diseases.Journal of pharmacokinetics and pharmacodynamics · 2022Pooled it
- Transforming lung transplantation with artificial intelligence: a narrative review from organ allocation to post-transplant management.Journal of thoracic disease · 2026Review
- ERS Congress 2024: highlights from the Thoracic Surgery and Lung Transplantation Assembly.ERJ open research · 2025Article
- Artificial intelligence for dementia prevention.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2023Review
- Enhancing Kidney Transplant Care through the Integration of Chatbot.Healthcare (Basel, Switzerland) · 2023Review
- AutoPrognosis 2.0: Democratizing diagnostic and prognostic modeling in healthcare with automated machine learning.PLOS digital health · 2023Article
- Single nucleotide variants inMicrobial genomics · 2023Article
- Predicting non-improvement of symptoms in daily mental healthcare practice using routinely collected patient-level data: a machine learning approach.Frontiers in psychiatry · 2023Article
- Virtual monitoring in CF - the importance of continuous monitoring in a multi-organ chronic condition.Frontiers in digital health · 2023Review
- External validity of machine learning-based prognostic scores for cystic fibrosis: A retrospective study using the UK and Canadian registries.PLOS digital health · 2023Article
- Article
- Methods of analysis for survival outcomes with time-updated mediators, with application to longitudinal disease registry data.Statistical methods in medical research · 2022Article
- The promise of automated machine learning for the genetic analysis of complex traits.Human genetics · 2022Review
- Automatically Explaining Machine Learning Predictions on Severe Chronic Obstructive Pulmonary Disease Exacerbations: Retrospective Cohort Study.JMIR medical informatics · 2022Article
- Comparative analysis of molecular fingerprints in prediction of drug combination effects.Briefings in bioinformatics · 2021Article
- Ranking Rule-Based Automatic Explanations for Machine Learning Predictions on Asthma Hospital Encounters in Patients With Asthma: Retrospective Cohort Study.JMIR medical informatics · 2021Article
- A Novel, Potentially Universal Machine Learning Algorithm to Predict Complications in Total Knee Arthroplasty.Arthroplasty today · 2021Article
- A Roadmap for Automating Lineage Tracing to Aid Automatically Explaining Machine Learning Predictions for Clinical Decision Support.JMIR medical informatics · 2021Article
- Development of a Novel, Potentially Universal Machine Learning Algorithm for Prediction of Complications After Total Hip Arthroplasty.The Journal of arthroplasty · 2021Article
- Generalizability of an Automatic Explanation Method for Machine Learning Prediction Results on Asthma-Related Hospital Visits in Patients With Asthma: Quantitative Analysis.Journal of medical Internet research · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Accurate prediction of survival for cystic fibrosis (CF) patients is instrumental in establishing the optimal timing for referring patients with terminal respiratory failure for lung transplantation (LT). Current practice considers referring patients for LT evaluation once the forced expiratory volume (FEV
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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.