ArticleAdvances in rehabilitation science and practice
Predictive Value of the CHA
Article in Advances in rehabilitation science and practice. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Cardiac rehabilitation (CR) improves exercise capacity and is strongly recommended in clinical guidelines. However, no established scoring system exists to predict improvements in exercise capacity following CR. Objective: This study aimed to assess whether the CHA Methods: Of the 99 patients with cardiovascular disease who participated in the hospital-based CR, those who were ineligible were excluded. The remaining patients were stratified into 2 groups based on the median CHA Results: A total of 46 patients (median age, 74 years; 72% male) were stratified according to the median CHA Conclusions: The CHA
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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 Socratic graph.