ReviewCritical care (London, England)2015
State of the art review: the data revolution in critical care.
Review in Critical care (London, England), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 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
46 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Incorporating repeated measurements into prediction models in the critical care setting: a framework, systematic review and meta-analysis.BMC medical research methodology · 2019Pooled it
- Understanding uncertainty in large language model predictions of early death in critically ill patients: a conformal prediction approach.JAMIA open · 2026Article
- Article
- Development and validation of the C-reactive protein-triglyceride-glucose index for predicting short- and long-term mortality in critically ill patients with coronary artery disease: a multicenter cohort study.Frontiers in cardiovascular medicine · 2026Article
- Understanding Uncertainty in Large Language Model Predictions of Early Death in Critically Ill Patients: A Conformal Prediction Approach.medRxiv : the preprint server for health sciences · 2025Article
- Development and validation of a nomogram for predicting the occurrence of acute kidney injury in patients with pulmonary embolism.Renal failure · 2025Article
- Comparison of machine learning and nomogram to predict 30-day in-hospital mortality in patients with acute myocardial infarction combined with cardiogenic shock: a retrospective study based on the eICU-CRD and MIMIC-IV databases.BMC cardiovascular disorders · 2025Article
- [Data-driven intensive care: a lack of comprehensive datasets].Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2024Review
- Overview and Clinical Applications of Artificial Intelligence and Machine Learning in Cardiac Anesthesiology.Journal of cardiothoracic and vascular anesthesia · 2024Review
- Comparing Open-Access Database and Traditional Intensive Care Studies Using Machine Learning: Bibliometric Analysis Study.Journal of medical Internet research · 2024Article
- Research on Multimodal Fusion of Temporal Electronic Medical Records.Bioengineering (Basel, Switzerland) · 2024Article
- Computational Simulation of Virtual Patients Reduces Dataset Bias and Improves Machine Learning-Based Detection of ARDS from Noisy Heterogeneous ICU Datasets.IEEE open journal of engineering in medicine and biology · 2024Article
- Accounting for clustering in automated variable selection using hospital data: a comparison of different LASSO approaches.BMC medical research methodology · 2023Article
- Artificial Intelligence Models in Health Information Exchange: A Systematic Review of Clinical Implications.Healthcare (Basel, Switzerland) · 2023Review
- Discrepancy between perceptions and acceptance of clinical decision support Systems: implementation of artificial intelligence for vancomycin dosing.BMC medical informatics and decision making · 2023Article
- Structural causal model with expert augmented knowledge to estimate the effect of oxygen therapy on mortality in the ICU.Artificial intelligence in medicine · 2023Article
- Prioritization of healthcare systems during pandemics using Cronbach's measure based fuzzy WASPAS approach.Annals of operations research · 2022Article
- The principles of whole-hospital predictive analytics monitoring for clinical medicine originated in the neonatal ICU.NPJ digital medicine · 2022Review
- Development and validation of outcome prediction models for acute kidney injury patients undergoing continuous renal replacement therapy.Frontiers in medicine · 2022Article
- A decision algorithm to promote outpatient antimicrobial stewardship for uncomplicated urinary tract infection.Science translational medicine · 2020Article
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
This article is one of ten reviews selected from the Annual Update in Intensive Care and Emergency Medicine 2015 and co-published as a series in Critical Care. Other articles in the series can be found online at http://ccforum.com/series/annualupdate2015. Further information about the Annual Update in Intensive Care and Emergency Medicine is available from http://www.springer.com/series/8901.
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.