Evidence mapPaperPMID 41762649Full record

ArticleTherapeutic advances in respiratory disease

The effectiveness of the AI-based RehabLung mobile rehabilitation system on cardiopulmonary function and user satisfaction in lung cancer patients undergoing thoracic surgery: a protocol for a two-arm randomized clinical trial.

Hsin-Lun Yang, Ching-Hsia Hung, Yu-Ting Huang, Hui-Ching Cheng, Yau-Lin Tseng, Jun-Ming Su, Kun-Ling Tsai

Registry-linked trialAbstract readClinical Trial Protocol
In one paragraph

Article in Therapeutic advances in respiratory disease. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06600503 (The Effectiveness of a Mobile Lung Rehabilitation System on Patient Satisfaction and Lung Function After Lung Cancer Surgery), which is not on this map. Not yet cited in PubMed.

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1 · What the graph read from it

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.

2 · The registry

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.

NCT06600503 nanot yet recruitingnot on this map

The Effectiveness of a Mobile Lung Rehabilitation System on Patient Satisfaction and Lung Function After Lung Cancer Surgery

TypeinterventionalSponsorNational Cheng Kung UniversityRan2024 to 2025Enrolled36ConditionsPulmonary Rehabilitation, Telerehabilitation, Lung CancerArmsRehabLung mobile application, Lung cancer postoperative standard care, Healthcare interactive Web Platform
3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Hsin-Lun YangInstitute of Allied Health Sciences, College of Medicine, National Cheng Kung University, Tainan City, Taiwan.
Ching-Hsia HungInstitute of Allied Health Sciences, College of Medicine, National Cheng Kung University, Tainan City, Taiwan.
Yu-Ting HuangInstitute of Allied Health Sciences, College of Medicine, National Cheng Kung University, Tainan City, Taiwan.
Hui-Ching ChengInstitute of Allied Health Sciences, College of Medicine, National Cheng Kung University, Tainan City, Taiwan.
Yau-Lin TsengDepartment of Surgery, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan City, Taiwan.
Jun-Ming SuDepartment of Information and Learning Technology, National University of Tainan, Tainan City 701, Taiwan.
Kun-Ling TsaiInstitute of Allied Health Sciences, College of Medicine, National Cheng Kung University, Tainan City 701, Taiwan.ORCID 0000-0002-3814-1453

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPostoperative recovery following lung cancer surgery can be challenging owing to various cardiorespiratory complications. Pulmonary rehabilitation is crucial during both the preoperative and postoperative periods. However, because of limited resources and accessibility, innovative approaches are necessary to improve rehabilitation outcomes. This study aimed to evaluate the effectiveness of the RehabLung App, a novel AI-based mobile application integrating vision recognition, gamified feedback, and web-based patient management to support personalized lung rehabilitation through telerehabilitation and real-time monitoring.

objectivesThis study outlines the protocol for a randomized controlled trial involving patients with lung cancer undergoing thoracic surgery.

designAssessor-blinded (single-blind), two-arm, parallel-group randomized controlled trial (1:1 allocation) conducted at a single medical center. METHODS AND ANALYSIS: The intervention will include individualized exercise prescriptions delivered five times per week for 8 weeks via the App, which adapts based on weekly assessments of clinical parameters and real-time performance data. Primary outcomes include forced expiratory volume in 1 second (FEV1) and forced vital capacity (FVC), as well as cardiopulmonary fitness assessed at baseline and at postoperative weeks 5 and 8. Secondary outcomes include respiratory muscle strength, diaphragmatic function, and user satisfaction, which are evaluated using a custom questionnaire informed by technology acceptance models. In addition, clinically meaningful endpoints will be collected, including morbidity, mortality, and length of stay. Frailty will be assessed preoperatively using the Clinical Frailty Scale, and validated patient-reported outcomes (EORTC QLQ-C30) will be administered to evaluate quality of life and symptom burden. ETHICS: The study has been approved by the Institutional Review Board at National Cheng Kung University Hospital (A-ER-111-055). DISCUSSION: We hypothesize that patients using the RehabLung App may demonstrate improvements in pulmonary function, exercise tolerance, diaphragmatic function, and rehabilitation adherence compared with those receiving standard care. The system's real-time feedback and risk alerts may facilitate timely intervention and could potentially improve engagement.

conclusionThe implementation of the RehabLung App in lung cancer surgery care may enhance the effectiveness and accessibility of pulmonary rehabilitation. This protocol describes an AI-enhanced telerehabilitation system that may support individualized recovery strategies and could potentially improve both clinical outcomes and patient engagement.

trial registrationRegistration Date;2024,09,19; ClinicalTrials.gov (Identifier: NCT06600503).

Indexed as

LungLung NeoplasmsMobile ApplicationsPatient SatisfactionThoracic Surgical ProceduresAgedCardiorespiratory FitnessFemaleForced Expiratory VolumeHumansIntelligent SystemsMaleMiddle AgedQuality of LifeRandomized Controlled Trials as TopicRecovery of FunctionAI vision recognitioncardiorespiratory fitnesslung cancermobile healthcarepulmonary rehabilitationtelerehabilitation

Identifiers

PMID41762649
PMCPMC12954023

What Socratic holds

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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.