ReviewCritical care (London, England)2019
Metabolic support in the critically ill: a consensus of 19.
Review in Critical care (London, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 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
30 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- The urea-to-creatinine ratio as an emerging biomarker in critical care: a scoping review and meta-analysis.Critical care (London, England) · 2025Pooled it
- The effect of indirect calorimetry guided isocaloric nutrition on mortality in critically ill patients-a systematic review and meta-analysis.European journal of clinical nutrition · 2022Pooled it
- Biologic Mechanisms Underlying the Heterogeneous Response to Tight Glycemic Control among Differentially Inflamed Patients in the HALF-PINT Trial.American journal of respiratory and critical care medicine · 2025Trial
- Procalcitonin metabolomics in the critically ill reveal relationships between inflammation intensity and energy utilization pathways.Scientific reports · 2021Trial
- Semi-elemental versus polymeric formula for enteral nutrition in brain-injured critically ill patients: a randomized trial.Critical care (London, England) · 2021Trial
- Research on Sepsis and Metabolic Reprogramming from 1998 to 2025: A Bibliometric and Visualized Analysis.Shock (Augusta, Ga.) · 2026Article
- Detecting the metabolic transition to personalize nutritional timing: model development and preliminary validation in a large ICU cohort.Critical care (London, England) · 2026Article
- Precision nutrition in critical illness: a phase-specific framework from acute feeding to post-ICU recovery.Frontiers in nutrition · 2026Review
- The metabolic response to stress in critical illness: updated review on the pathophysiological mechanisms, consequences, and therapeutic implications.Annals of intensive care · 2025Review
- Psychosocial Support Interventions for Adult Critically Ill Patients During the Acute Phase of Their ICU Stay: A Scoping Review.Healthcare (Basel, Switzerland) · 2025Review
- Circadian rhythms, metabolism, and nutrition support in critically ill adult patients: a narrative review.Current opinion in clinical nutrition and metabolic care · 2025Review
- Personalized Nutrition in the Pediatric ICU: Steering the Shift from Acute Stress to Metabolic Recovery and Rehabilitation.Nutrients · 2024Review
- Toward nutrition improving outcome of critically ill patients: How to interpret recent feeding RCTs?Critical care (London, England) · 2023Review
- Nutritional support protocol for patients with COVID-19.Clinical nutrition ESPEN · 2022Article
- Protein intake and outcome of critically ill patients: analysis of a large international database using piece-wise exponential additive mixed models.Critical care (London, England) · 2022Article
- Central Venous Pressure Measurement Is Associated With Improved Outcomes in Patients With or at Risk for Acute Respiratory Distress Syndrome: An Analysis of the Medical Information Mart for Intensive Care IV Database.Frontiers in medicine · 2022Article
- A guide to enteral nutrition in intensive care units: 10 expert tips for the daily practice.Critical care (London, England) · 2021Review
- Sepsis and the Human Microbiome. Just Another Kind of Organ Failure? A Review.Journal of clinical medicine · 2021Review
- Article
- Energy expenditure and feeding practices and tolerance during the acute and late phase of critically ill COVID-19 patients.Clinical nutrition ESPEN · 2021Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
19 authors.
Funding
Abstract
Metabolic alterations in the critically ill have been studied for more than a century, but the heterogeneity of the critically ill patient population, the varying duration and severity of the acute phase of illness, and the many confounding factors have hindered progress in the field. These factors may explain why management of metabolic alterations and related conditions in critically ill patients has for many years been guided by recommendations based essentially on expert opinion. Over the last decade, a number of randomized controlled trials have been conducted, providing us with important population-level evidence that refutes several longstanding paradigms. However, between-patient variation means there is still substantial uncertainty when translating population-level evidence to individuals. A cornerstone of metabolic care is nutrition, for which there is a multifold of published guidelines that agree on many issues but disagree on others. Using a series of nine questions, we provide a review of the latest data in this field and a background to promote efforts to address the need for international consistency in recommendations related to the metabolic care of the critically ill patient. Our purpose is not to replace existing guidelines, but to comment on differences and add perspective.
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.