ArticleJournal of healthcare engineering2022
Cardiopulmonary Rehabilitation in Elderly Patients with Heart Failure: A Prospective Cohort Study.
Article in Journal of healthcare engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 3 papers.
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
3 citing papers in PubMed.
- Nurse-coordinated home-based cardiac rehabilitation for patients with heart failure: A scoping review.International journal of nursing sciences · 2023Article
- Retracted: Cardiopulmonary Rehabilitation in Elderly Patients with Heart Failure: A Prospective Cohort Study.Journal of healthcare engineering · 2023Article
- Effect of Perioperative Comprehensive Nursing Intervention on the Rehabilitation Effect of Radiofrequency Ablation for Patients with Hypertrophic Obstructive Cardiomyopathy.Contrast media & molecular imaging · 2022Article
Corrections and comments
- Retraction · 2023-10-11Concerns/Issues about Data · Concerns/Issues about Results and/or Conclusions · Concerns/Issues about Referencing/Attributions · Concerns/Issues about Peer Review · Investigation by Journal/Publisher · Investigation by Third Party · Paper Mill · Computer-Aided Content or Computer-Generated Content · Unreliable Results and/or Conclusions ·
- Retracted
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To determine the impact of cardiopulmonary rehabilitation administered through WeChat on exercising resilience and life quality in aged people with heart failure (HF). Methods: We conducted prospective cohort study that included 80 heart failure patients who were admitted to the Second Affiliated Hospital of Wenzhou Medical University from June 2018 to September 2020, 80 patients with heart failure. Patients were grouped according to their use of WeChat for rehabilitation. WeChat cohort provides remote supervision of rehabilitation and nursing guidance through WeChat. Specifically, the findings below were predetermined and compared across treatment groups utilizing analysis of variance corrected for baseline levels of the end measure and location: changes in the length of cardiopulmonary exercise tests, peak VO2, the proportion of predicted maximum VO2, and variation in the distance covered during the 6-minute walk distance (6MWD) assessment. Comparison of negative emotions between two groups, a Self-rating Depression Scale (SDS) and Self-rating Anxiety Scale (SAS), and Survey Short Form-36 (SF36) at baseline and at month 2. Results: In contrast with the control cohort, the WeChat cohort did not show any significant differences in general data ( Conclusions: In summary, cardiopulmonary rehabilitation via WeChat is very beneficial for HF patients who are at a stable phase of the disease. It may substantially improve patients' exercise stamina, reduce adverse emotions, boost patients' quality of life, and have significant clinical relevance.
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.