SynthesisPloS one2022
Prediction models for the prediction of unplanned hospital admissions in community-dwelling older adults: A systematic review.
Synthesis in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07136168 (Healthy Ageing - an Interdisciplinary Randomised Study of Health Dialogues in Primary Care), which is not on this map. Cited by 11 papers, 2 of them syntheses that pooled it.
What it found
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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.
Healthy Ageing - an Interdisciplinary Randomised Study of Health Dialogues in Primary Care
Who cites it
11 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- A systematic review of fall prediction models for community-dwelling older adults: comparison between models based on research cohorts and models based on routinely collected data.Age and ageing · 2024Pooled it
- Predicting short- to medium-term care home admission risk in older adults: a systematic review of externally validated models.Age and ageing · 2024Pooled it
- What affects unplanned hospital admissions in older adults according to primary healthcare professionals? A focus group study.The European journal of general practice · 2026Article
- Determinants of Non-Receipt of Guideline-Concordant Treatment in Pancreatic Cancer: A Classification Tree Analysis.Annals of surgical oncology · 2026Article
- Risk stratification tool for older emergency department patients: the 6-items brief geriatric assessment.BMC geriatrics · 2026Observational
- Multimorbidity measurement strategies for predicting hospital visits.BMC health services research · 2025Article
- Observational
- Predicting unplanned admissions to hospital in older adults using routinely recorded general practice data: development and validation of a prediction model.The British journal of general practice : the journal of the Royal College of General Practitioners · 2024Article
- Predicting Outcomes in Frail Older Community-Dwellers in Western Australia: Results from the Community Assessment of Risk Screening and Treatment Strategies (CARTS) Programme.Healthcare (Basel, Switzerland) · 2024Article
- From bedside-to-model: Designing clinical prediction rules for implementation.Journal of the American Geriatrics Society · 2024Article
- Reasons for hospitalisation and cumulative mortality in people, 75 years or older, at high risk of hospital admission: a prospective study.BMC geriatrics · 2024Observational
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIdentification of community-dwelling older adults at risk of unplanned hospitalizations is of importance to facilitate preventive interventions. Our objective was to review and appraise the methodological quality and predictive performance of prediction models for predicting unplanned hospitalizations in community-dwelling older adults. METHODS AND
findingsWe searched MEDLINE, EMBASE and CINAHL from August 2013 to January 2021. Additionally, we checked references of the identified articles for the inclusion of relevant publications and added studies from two previous reviews that fulfilled the eligibility criteria. We included prospective and retrospective studies with any follow-up period that recruited adults aged 65 and over and developed a prediction model predicting unplanned hospitalizations. We included models with at least one (internal or external) validation cohort. The models had to be intended to be used in a primary care setting. Two authors independently assessed studies for inclusion and undertook data extraction following recommendations of the CHARMS checklist, while quality assessment was performed using the PROBAST tool. A total of 19 studies met the inclusion criteria. Prediction horizon ranged from 4.5 months to 4 years. Most frequently included variables were specific medical diagnoses (n = 11), previous hospital admission (n = 11), age (n = 11), and sex or gender (n = 8). Predictive performance in terms of area under the curve ranged from 0.61 to 0.78. Models developed to predict potentially preventable hospitalizations tended to have better predictive performance than models predicting hospitalizations in general. Overall, risk of bias was high, predominantly in the analysis domain.
conclusionsModels developed to predict preventable hospitalizations tended to have better predictive performance than models to predict all-cause hospitalizations. There is however substantial room for improvement on the reporting and analysis of studies. We recommend better adherence to the TRIPOD guidelines.
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