ReviewCurrent opinion in critical care2019
Challenges in conducting long-term outcomes studies in critical care.
Review in Current opinion in critical care, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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
28 citing papers in PubMed.
- From Intensive Care to Recovery: Feasibility of a Randomised Controlled Study Design Evaluating a Cognitive Rehabilitation Intervention for Critically Ill Patients.Nursing in critical care · 2026Trial
- Health-related quality of life correlates with patient-reported and proxy-reported disability in critical illness survivors: a secondary analysis of the ERIC trial.Critical care (London, England) · 2025Trial
- Long-term clinical comparison of a resin-based composite and resin modified glass ionomer in the treatment of cervical caries lesions.Odontology · 2025Trial
- Protocolized reduction of non-resuscitation fluids versus usual care in septic shock patients (REDUSE): a randomized multicentre feasibility trial.Critical care (London, England) · 2024Trial
- Cerebrospinal Fluid Drainage Trajectories Are Associated With Ventriculoperitoneal Shunt Placement After Aneurysmal Subarachnoid Hemorrhage.Neurosurgery practice · 2026Article
- Building resilience when disaster strikes: adapting clinical trials in critical illness recovery.Annals of the American Thoracic Society · 2026Article
- Evaluating skeletal muscle dysfunction and recovery in a zymosan model of critical illness in mice.Disease models & mechanisms · 2026Article
- Standardisation in acute stroke research: A scoping review of upper limb assessments against Stroke Recovery and Rehabilitation Roundtable (SRRR) benchmarks.Clinical rehabilitation · 2026Article
- The association between week-one red blood cell distribution width and one-year survival in critically ill patients: propensity score-based multicenter analysis.European journal of medical research · 2025Article
- Evaluating skeletal muscle wasting and weakness in models of critical illness.Clinical science (London, England : 1979) · 2025Review
- Early deep sedation was associated with post-hospital one-year mortality in critically ill surgical patients: a propensity-matched retrospective cohort study.BMC anesthesiology · 2025Article
- Prolonged Fatigue and Mental Health Challenges in Critical COVID-19 Survivors.Journal of intensive care medicine · 2024Article
- Oxygenation Severity Categories and Long-Term Quality of Life among Children who Survive Septic Shock.Journal of pediatric intensive care · 2024Article
- Functional independence, frailty and perceived quality of life in patients who developed delirium during ICU stay: a prospective cohort study.European journal of medical research · 2023Observational
- Adapting co-design methodology to a virtual environment: co-designing a communication intervention for adult patients in critical care.Research involvement and engagement · 2023Article
- Association between early blood urea nitrogen-to-albumin ratio and one-year post-hospital mortality in critically ill surgical patients: a propensity score-matched study.BMC anesthesiology · 2023Article
- It's time to measure the long-term effects of occupational therapy interventions.The British journal of occupational therapy · 2023Article
- Anaemia in the first week may be associated with long-term mortality among critically ill patients: propensity score-based analyses.BMC emergency medicine · 2023Article
- Article
- Evaluating pain in survivors of critical illness: the correlation between the EQ-5D-5L and the Brief Pain Inventory.BMJ open respiratory research · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
purpose of reviewEvaluating longer term mortality, morbidity, and quality of life in survivors of critical illness is a research priority. This review details the challenges of long-term follow-up studies of critically ill patients and highlights recently proposed methodological solutions. RECENT
findingsBarriers to long-term follow-up studies of critical care survivors include high rates of study attrition because of death or loss to follow-up, data missingness from experienced morbidity, and lack of standardized outcome as well as reporting of key covariates. A number of recent methods have been proposed to reduce study patients attrition, including minimum data set selection and visits to transitional care or home settings, yet these have significant downsides as well. Conducting long-term follow-up even in the absence of such models carries a high expense, as personnel are very costly, and patients/families require reimbursement for their time and inconvenience. SUMMARY: There is a reason why many research groups do not conduct long-term outcomes in critical care: it is very difficult. Challenges of long-term follow-up require careful consideration by study investigators to ensure our collective success in data integration and a better understanding of underlying mechanisms of mortality and morbidity seen in critical care survivorship.
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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.