ArticleEmergency medicine international2022
Effect of Nursing Model Based on Rosenthal Effect on Self-Efficacy and Cognition of Life Meaning in Patients with Non-Small-Cell Lung Cancer.
Article in Emergency medicine international, 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 It has been retracted, and should not be counted.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, 4 citations in OpenAlex.
- Impact of Rosenthal effect-based nursing intervention on self-care ability and hope level in patients undergoing breast surgery.BMC surgery · 2025Trial
- Retracted: Effect of Nursing Model Based on Rosenthal Effect on Self-Efficacy and Cognition of Life Meaning in Patients with Non-Small-Cell Lung Cancer.Emergency medicine international · 2024Article
- Intervention and coping strategies for self-perceived burden of patients with cancer: A systematic review.Asia-Pacific journal of oncology nursing · 2023Review
Corrections and comments
- Retraction · 2024-01-24Concerns/Issues about Data · Concerns/Issues about Results and/or Conclusions · Concerns/Issues about Referencing/Attributions · Concerns/Issues about Peer Review · Informed/Patient Consent - None/Withdrawn · Investigation by Journal/Publisher · Investigation by Third Party · Lack of IRB/IACUC Approval and/or Compliance · Paper Mill · Computer-Aided Content or Computer-Generated Content · Unreliable Results and/or Conclusions ·
- Retracted
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To study the influence of nursing model based on Rosenthal effect on self-efficacy and cognition of life meaning in patients with non-small-cell lung cancer (NSCLC). Methods: 120 patients with NSCLC treated in the hospital were selected from November 2020 to November 2021 and were randomly divided into the nursing group and the Rosenthal group, with 60 cases in each group. The nursing group received routine nursing intervention, while the Rosenthal group was intervened by nursing model based on the Rosenthal effect, and both groups were intervened for 1 month. The self-efficacy (General Self-Efficacy Scale (GSES)), negative emotions (Hospital Anxiety and Depression Scale (HADS)), self-burden (Self-Perceived Burden Scale for Cancer Patients (SPBS-CP)), meaning of life (Meaning of Life Scale for Advanced Cancer Patients (MiLS)), and quality of life (Functional Assessment of Cancer Therapy-Lung (FACT-L)) were compared between the two groups before and after intervention. Results: After 1 month of intervention, the scores of GSES and MiLS of patients in the two groups were significantly higher than those before intervention, and the scores in the Rosenthal group were significantly higher than those in the nursing group ( Conclusion: Nursing model intervention based on Rosenthal effect enhances the self-efficacy and meaning of life and reduces the negative emotions and self-burden in patients with NSCLC.
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.