ArticleAging clinical and experimental research2023
Development and validation of a nomogram for predicting dysphagia in long-term care facility residents.
Article in Aging clinical and experimental research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed, 1 synthesis or guideline pooled it, 1 citations in OpenAlex.
- Predictive models for dysphagia in older adults: a systematic review and meta-analysis.Frontiers in public health · 2026Pooled it
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundDysphagia is a common problem that can seriously affect the health of elderly residents in long-term care facilities. Early identification and targeted measures can significantly reduce the incidence of dysphagia.
aimThis study aims to establish a nomogram to evaluate the risk of dysphagia for elderly residents in long-term care facilities.
methodsA total of 409 older adults were included in the development set, and 109 were included in the validation set. Least absolute shrinkage selection operator (LASSO) regression analysis was used to select the predictor variables, and logistic regression was used to establish the prediction model. The nomogram was constructed based on the results of logistic regression. The performance of the nomogram was evaluated by receiver operating characteristic (ROC) curve, calibration, and decision curve analysis (DCA). Internal validation was performed using tenfold cross-validation with 1000 iterations.
resultsThe predictive nomogram included the following variables: stroke, sputum suction history (within one year), Barthel Index (BI), nutrition status, and texture-modified food. The area under the curve (AUC) for the model was 0.800; the AUC value for the internal validation set was 0.791, and the AUC value for the external validation set was 0.824. The nomogram showed good calibration in both the development set and validation set. Decision curve analysis (DCA) demonstrated that the nomogram was clinically valuable. DISCUSSION: This predictive nomogram provides a practical tool for predicting dysphagia. The variables included in this nomogram were easy to assess.
conclusionsThe nomogram may help long-term care facility staff identify older adults at high risk for dysphagia.
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Registered trials
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