ReviewCritical care (London, England)2022
Effective hemodynamic monitoring.
Review in Critical care (London, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 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
67 citing papers in PubMed, 1 synthesis or guideline pooled it, 139 citations in OpenAlex.
- ESICM guidelines on circulatory shock and hemodynamic monitoring 2025.Intensive care medicine · 2025Guideline
- [Relationship between cardiac output, heart rate and microcirculation in patients with multiorgan dysfunction syndrome].Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2024Trial
- Respiratory variation in the internal jugular vein does not predict fluid responsiveness in the prone position during adolescent idiopathic scoliosis surgery: a prospective cohort study.BMC anesthesiology · 2023Trial
- From Intelligent Operating Room to Smart ICU: Digital Continuity, AI-Supported Decision-Making and CRRT as a Model of Pharmacokinetic Personalization in Critical Care.Healthcare (Basel, Switzerland) · 2026Review
- Alterations in arterial pressure waveform morphology following volume loading versus vasopressor administration in critically ill patients.Journal of clinical monitoring and computing · 2026Article
- Morphological changes in the arterial pressure waveform following hemodynamic therapies in critical care: A clinical proof-of-concept study in older adults.Physiological reports · 2026Observational
- A Novel Method for Cardiac Output and Vascular Parameters Estimation Using Peripheral Arterial Waveforms: Integrating Windkessel Model viaAnnals of biomedical engineering · 2026Article
- Cardiac cost of occupational stress among obstetricians: a cross-sectional non-invasive haemodynamic study in a tertiary hospital.BMJ open · 2026Article
- The predictive value of different lung ultrasound protocols for extravascular lung water in septic shock patients.The ultrasound journal · 2026Article
- Comparison of norepinephrine with a combined non-catecholaminergic therapy in a porcine model of refractory cardiac arrest resuscitated with VA-ECMO.Intensive care medicine experimental · 2026Article
- Targeting hypertension through natural phenolics: The multifaceted role of cinnamic acid and its derivatives.Pflugers Archiv : European journal of physiology · 2026Review
- Usability Validation of an Integrated Hemodynamic and Pulmonary Monitoring System Using Eye-Tracking Analysis.Journal of clinical medicine · 2026Article
- INPRESS: INvasive PRESSure Monitoring Knowledge and Practice Survey.Nursing in critical care · 2026Article
- Access to haemodynamic evaluation tools in middle-income countries: a survey of 1593 anaesthetists and intensivists from 39 nations.BJA open · 2026Article
- Stratified Causal Inference for Intensive Care Unit Risk Prediction: Informatics-Based Modeling of Anesthetic Drug Combinations.JMIR formative research · 2026Article
- Development of a hemodynamic scoring system for acute pancreatitis: an exploratory approach to optimizing fluid resuscitation.BMC gastroenterology · 2026Article
- Septic Cardiomyopathy: Age-Dependent Physiology and Hemodynamic Aspects-A Narrative Review.Children (Basel, Switzerland) · 2026Review
- Perfusion index and fluid responsiveness: Are we asking the right question?Journal of intensive medicine · 2026Article
- Leveraging transformer-based artificial intelligence for enhanced anesthetic decision-making in orthopedic surgery.Frontiers in medicine · 2026Article
- Nurses' competence in hemodynamic monitoring and Its impact on clinical decision-making in cardiac ICUs.Frontiers in cardiovascular medicine · 2026Article
7 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors at 13 institutions in 10 countries.
Funding
Abstract
Hemodynamic monitoring is the centerpiece of patient monitoring in acute care settings. Its effectiveness in terms of improved patient outcomes is difficult to quantify. This review focused on effectiveness of monitoring-linked resuscitation strategies from: (1) process-specific monitoring that allows for non-specific prevention of new onset cardiovascular insufficiency (CVI) in perioperative care. Such goal-directed therapy is associated with decreased perioperative complications and length of stay in high-risk surgery patients. (2) Patient-specific personalized resuscitation approaches for CVI. These approaches including dynamic measures to define volume responsiveness and vasomotor tone, limiting less fluid administration and vasopressor duration, reduced length of care. (3) Hemodynamic monitoring to predict future CVI using machine learning approaches. These approaches presently focus on predicting hypotension. Future clinical trials assessing hemodynamic monitoring need to focus on process-specific monitoring based on modifying therapeutic interventions known to improve patient-centered outcomes.
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.