ArticleJournal of critical care2021
On predictions in critical care: The individual prognostication fallacy in elderly patients.
Article in Journal of critical care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07001410 (Geriatrics in the Intensive Care Unit. An Observational Clinical Trial), which is not on this map. Cited by 17 papers.
What it found
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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.
Geriatrics in the Intensive Care Unit. An Observational Clinical Trial
Who cites it
17 citing papers in PubMed, 31 citations in OpenAlex.
- A long short-term memory network with SHAP interpretability for dynamic prediction of ICU delirium: development and external validation.Frontiers in digital health · 2026Article
- Time-Limited Trials in Intensive Care Medicine: A Tool for Avoiding Inappropriate Treatment.Deutsches Arzteblatt international · 2025Review
- Prevalence and characteristics of the 'bad feeling' among healthcare professionals in the context of emergency situations: A Bi-Hospital Survey.Journal of clinical nursing · 2025Article
- Unsupervised machine learning analysis to identify patterns of ICU medication use for fluid overload prediction.Pharmacotherapy · 2025Article
- A Comprehensive Review of the Role of Biomarkers in the Early Detection of Endocrine Disorders in Critical Illnesses.Cureus · 2024Review
- Unsupervised machine learning analysis to identify patterns of ICU medication use for fluid overload prediction.medRxiv : the preprint server for health sciences · 2024Article
- Machine learning vs. traditional regression analysis for fluid overload prediction in the ICU.Scientific reports · 2023Observational
- Limiting life-sustaining treatment for very old ICU patients: cultural challenges and diverse practices.Annals of intensive care · 2023Article
- The role of clinical phenotypes in decisions to limit life-sustaining treatment for very old patients in the ICU.Annals of intensive care · 2023Article
- Contribution of information about acute and geriatric characteristics to decisions about life-sustaining treatment for old patients in intensive care.BMC medical informatics and decision making · 2023Article
- Clustering analysis of geriatric and acute characteristics in a cohort of very old patients on admission to ICU.Intensive care medicine · 2022Article
- A retrospective cohort study comparing differences in 30-day mortality among critically ill patients aged ≥ 70 years treated in European tax-based healthcare systems (THS) versus social health insurance systems.Scientific reports · 2022Article
- Variations in end-of-life care practices in older critically ill patients with COVID-19 in Europe.Journal of internal medicine · 2022Article
- Comment on: Rethinking ICU readmission and timelimited trial in the contingency capacity.Journal of critical care · 2022Article
- The management of multi-morbidity in elderly patients: Ready yet for precision medicine in intensive care?Critical care (London, England) · 2021Article
- ICU-Mortality in Old and Very Old Patients Suffering From Sepsis and Septic Shock.Frontiers in medicine · 2021Article
- A new multi-national network studying Very old Intensive care Patients (VIPs).Anaesthesiology intensive therapy · 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
10 authors at 7 institutions in 8 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Predicting the future course of critical conditions involves personal experience, heuristics and statistical models. Although these methods may perform well for some cases and population averages, they suffer from substantial shortcomings when applied to individual patients. The reasons include methodological problems of statistical modeling as well as limitations of cross-sectional data sampling. Accurate predictions for individual patients become crucial when they have to guide irreversible decision-making. This notably applies to triage situations in response to a lack of healthcare resources. We will discuss these issues and argue that analysing longitudinal data obtained from time-limited trials in intensive care can provide a more robust approach to individual prognostication.
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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.