SynthesisFrontiers in aging neuroscience2023
Prediction model for cognitive frailty in older adults: A systematic review and critical appraisal.
Synthesis in Frontiers in aging neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.
- The risk prediction models for cognitive frailty in the older people in China: a systematic review and meta-analysis.BMC geriatrics · 2025Pooled it
- Predictive models of Alzheimer's disease dementia risk in older adults with mild cognitive impairment: a systematic review and critical appraisal.BMC geriatrics · 2024Pooled it
- Prevalence and predictive factors of cognitive impairment among hospitalized older adults in iran: a cross-sectional study, 2024.Aging clinical and experimental research · 2026Article
- Machine learning-based prediction model for cognitive frailty in elderly patients with ischaemic stroke: a prospective cohort study.Frontiers in neurology · 2026Article
- Development and validation of nomogram for predicting cognitive frailty with multimorbidity: a cross-sectional study.Frontiers in public health · 2025Article
- Association between depression symptoms and cognitive frailty in chronic kidney disease patients: a cross-sectional study.Frontiers in psychiatry · 2025Article
- Traditional Chinese Medicine Constitution and Cognitive Frailty in Older Adults: Prediction Models and Sleep-Quality Mediation Pathway from a Multicenter Study in China.Clinical interventions in aging · 2025Article
- Development and validation of prediction model for older adults with cognitive frailty.Aging clinical and experimental research · 2024Article
- Risk factors analysis of cognitive frailty among geriatric adults in nursing homes based on logistic regression and decision tree modeling.Frontiers in aging neuroscience · 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
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Several prediction models for cognitive frailty (CF) in older adults have been developed. However, the existing models have varied in predictors and performances, and the methodological quality still needs to be determined. Objectives: We aimed to summarize and critically appraise the reported multivariable prediction models in older adults with CF. Methods: PubMed, Embase, Cochrane Library, Web of Science, Scopus, PsycINFO, CINAHL, China National Knowledge Infrastructure, and Wanfang Databases were searched from the inception to March 1, 2022. Included models were descriptively summarized and critically appraised by the Prediction Model Risk of Bias Assessment Tool (PROBAST). Results: A total of 1,535 articles were screened, of which seven were included in the review, describing the development of eight models. Most models were developed in China ( Conclusion: There are a few prediction models for CF. As a result of methodological shortcomings, incomplete presentation, and lack of external validation, the models' usefulness still needs to be determined. In the future, models with better prediction performance and methodological quality should be developed and validated externally. Systematic review registration: www.crd.york.ac.uk/prospero, identifier CRD42022323591.
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.