ArticleLancet (London, England)2010
Critical care: advances and future perspectives.
Article in Lancet (London, England), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 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
31 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Association of thyroid hormones and thyroid-stimulating hormone with mortality in adults admitted to the intensive care unit: A systematic review and meta-analysis.Journal of the Chinese Medical Association : JCMA · 2022Pooled it
- Real-World Deployment and Operational Evaluation of an On-Premise Thermal IoMT System in an Intensive Care Unit.Journal of medical systems · 2026Article
- Association between the glucose-to-platelet ratio and short-term and long-term all-cause mortality in critically ill patients with pneumonia: a retrospective cohort study.Journal of thoracic disease · 2026Article
- Article
- Intensive care patients eligible for intermediate care unit-level care: a single-centre prospective cohort study in Belgium.Critical care science · 2026Article
- Prolonged intensive care therapy in nonagenarians admitted to the intensive care unit-clinical characteristics, risk factors and outcomes.Frontiers in medicine · 2025Article
- Comprehensive assessment and progression of health status during neurorehabilitation in survivors of critical illness: a prospective cohort study.Annals of intensive care · 2024Article
- Contrastive Learning for Clinical Outcome Prediction with Partial Data Sources.Proceedings of machine learning research · 2024Article
- Reduced health-related quality of life, fatigue, anxiety and depression affect COVID-19 patients in the long-term after chronic critical illness.Scientific reports · 2024Article
- Trained intensivist coverage and survival outcomes in critically ill patients: a nationwide cohort study in South Korea.Annals of intensive care · 2023Article
- Epidemiologic Study of Intensive Care Unit Admission in South Korea: A Nationwide Population-Based Cohort Study from 2010 to 2019.International journal of environmental research and public health · 2022Article
- A Machine Learning Model to Predict Length of Stay and Mortality among Diabetes and Hypertension Inpatients.Medicina (Kaunas, Lithuania) · 2022Article
- Chronic Critical Illness in Patients with COVID-19: Characteristics and Outcome of Prolonged Intensive Care Therapy.Journal of clinical medicine · 2022Article
- Quantifying the impact of addressing data challenges in prediction of length of stay.BMC medical informatics and decision making · 2021Article
- Factors contributing to delay intensive care unit admission of critically ill patients from the adult emergency Department in Tikur Anbessa Specialized Hospital.BMC emergency medicine · 2021Article
- Post-intensive care syndrome as a predictor of mortality in patients with critical illness: A cohort study.PloS one · 2021Article
- Post-operative intensive care: is it really necessary?Intensive care medicine · 2019Article
- Factors Associated With Discharge Home Among Medical ICU Patients in an Early Mobilization Program.Critical care explorations · 2019Article
- Prospective paediatric intensive care registry in Latvia: one year outcomes.Acta medica Lituanic · 2019Article
- Early Hospital Mortality Prediction using Vital Signals.Smart health (Amsterdam, Netherlands) · 2018Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Intensive care offers a standard of monitoring, intervention, and organ support that cannot be readily delivered in a general ward. Its expansion in the past few decades, including the creation of emergency and outreach teams, emphasises that intensive care has an increasingly prominent role within the hospital. Although outcomes are clearly improving, intensive care remains a nascent specialty in which we are still learning how to harness a powerful ability to manipulate physiology, biochemistry, and immunology to achieve best outcomes for the patient. The results of many multicentre studies have not lent support to, or have even confounded, expectations, drawing attention to several issues related to patient heterogeneity, trial design, and elucidation of underlying pathophysiological processes. However, these results have generated constructive introspection and reappraisal of treatments and management strategies that have benefited the patient. In addition to the medical, financial, and logistical challenges in the future, exciting opportunities will arise as new developments in diagnostic tests, therapeutic interventions, and technology are used to exploit an increasing awareness of how critical illness should be managed.
Indexed as
Identifiers
20934211What 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.