SynthesisCritical care medicine2020
Prediction Models for Physical, Cognitive, and Mental Health Impairments After Critical Illness: A Systematic Review and Critical Appraisal.
Synthesis in Critical care medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 3 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
41 citing papers in PubMed, 3 syntheses or guidelines pooled it, 70 citations in OpenAlex.
- Machine learning-based risk predictive model for postoperative refractures in patients with osteoporotic vertebral compression fractures: a systematic review and critical appraisal.BMC musculoskeletal disorders · 2026Pooled it
- Pooled it
- Electronic health record-based prediction models for in-hospital adverse drug event diagnosis or prognosis: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2023Pooled it
- Predictive Utility of In-Hospital Screening for Postdischarge Depression Symptoms Among Survivors of Critical Illness.CHEST critical care · 2026Article
- Family or caregiver outcomes after critical illness (FOCUS): a protocol for a core outcome set development study.BMJ open · 2026Article
- Association between organ dysfunction during ICU stay and post-intensive care syndrome at 1 year after ICU discharge: a prospective cohort study.Journal of intensive care · 2026Article
- Article
- Mechanisms and impact of long COVID: pathophysiology, neuropsychiatric effects and vaccination.Frontiers in immunology · 2026Review
- Anxiety, depression and distress in family members of people who have experienced a critical care admission: a systematic review and Bayesian meta-analysis.Journal of intensive care · 2025Article
- Review
- Long-term recovery of sensorimotor functions and prediction of participation in survivors of critical illness: a prospective cohort study.Journal of intensive care · 2025Article
- What measures have been used to explore the outcomes of family members of critically ill patients: a scoping review.Intensive care medicine · 2025Article
- Predicting Post-ICU Functional Impairment During Early ICU Admission Using Real-world Electronic Health Record Data.Clinical nursing research · 2025Article
- Patient and family experiences of early cognitive rehabilitation in critical illness: A qualitative study protocol.Nursing in critical care · 2025Article
- Applications of generative artificial intelligence in outcome prediction in intensive care medicine-a scoping review.Frontiers in digital health · 2025Review
- Risk prediction models for post-intensive care syndrome of ICU discharged patients: A systematic review.International journal of nursing sciences · 2025Review
- Feasibility of In-Hospital Administration of a Tool to Predict Persistent Post-ICU Functional Impairment Among Older ICU Survivors: A Pilot Study.CHEST critical care · 2024Article
- Developing a prediction model for cognitive impairment in older adults following critical illness.BMC geriatrics · 2024Article
- Development and validation of a machine learning-based model for post-sepsis frailty.ERJ open research · 2024Article
- Potential risk factors for reduced quality of life and increased health care utilization in ARDS survivors: results from the multicenter cohort study DACAPO.Critical care (London, England) · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
21 authors at 13 institutions in 4 countries.
Funding
Abstract
objectivesImproved ability to predict impairments after critical illness could guide clinical decision-making, inform trial enrollment, and facilitate comprehensive patient recovery. A systematic review of the literature was conducted to investigate whether physical, cognitive, and mental health impairments could be predicted in adult survivors of critical illness. DATA SOURCES: A systematic search of PubMed and the Cochrane Library (Prospective Register of Systematic Reviews ID: CRD42018117255) was undertaken on December 8, 2018, and the final searches updated on January 20, 2019. STUDY SELECTION: Four independent reviewers assessed titles and abstracts against study eligibility criteria. Studies were eligible if a prediction model was developed, validated, or updated for impairments after critical illness in adult patients. Discrepancies were resolved by consensus or an independent adjudicator. DATA EXTRACTION: Data on study characteristics, timing of outcome measurement, candidate predictors, and analytic strategies used were extracted. Risk of bias was assessed using the Prediction model Risk Of Bias Assessment Tool. DATA SYNTHESIS: Of 8,549 screened studies, three studies met inclusion. All three studies focused on the development of a prediction model to predict (1) a mental health composite outcome at 3 months post discharge, (2) return-to-pre-ICU functioning and residence at 6 months post discharge, and (3) physical function 2 months post discharge. Only one model had been externally validated. All studies had a high risk of bias, primarily due to the sample size, and statistical methods used to develop and select the predictors for the prediction published model.
conclusionsWe only found three studies that developed a prediction model of any post-ICU impairment. There are several opportunities for improvement for future prediction model development, including the use of standardized outcomes and time horizons, and improved study design and statistical methodology.
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.