ArticleDysphagia2024
Prediction of Oral Intake at Discharge with Early Assessment of Swallowing Function within 24 h after Admission: A Retrospective Cohort Study.
Article in Dysphagia, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed, 0 citations in OpenAlex.
- Machine learning-based model for prediction of swallowing recovery in post-stroke patients.BMC medical informatics and decision making · 2026Article
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 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dysphagia is one of the most common symptoms of stroke and can lead to other complications such as pneumonia, dehydration, and malnutrition. This retrospective cohort study evaluated the predictive value of a comprehensive swallowing assessment tool, the Mann Assessment of Swallowing Ability (MASA), in the acute phase of stroke for oral intake status at discharge. Among 1,133 consecutive patients with acute stroke, 512 patients whose swallowing function was assessed using the MASA within 24 h of admission were included. Data including demographic information, stroke severity, MASA, Oral Health Assessment Tool, body mass index, and serum albumin level were collected. Predictive factors for oral intake were analyzed using a multiple logistic regression model, and the receiver operating characteristic (ROC) curve analysis was used to determine the cutoff values of the MASA score for determining oral intake at discharge. Oral intake at discharge was established in 69.1% of the cohort (354/512). The multiple logistic regression analysis identified a higher MASA score, younger age, and higher serum albumin level as significant predictors of oral intake at discharge. The cutoff value of the MASA score for oral intake was 136.5 points, with an area under the ROC curve of 0.87. These findings suggest that the MASA is a valid tool for predicting oral intake in patients with dysphagia during the acute phase of stroke.
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.