Evidence map›Paper›PMID 42183304›Full record

ArticleDigital health

Efficacy of IoT-based perioperative respiratory rehabilitation for lung resection: Protocol of a randomized controlled trial.

Lin Hang, Jieping Zhang, Zhongjie Lu, Yuan Miao, Yu Fang Zeng, MinMin Zhang

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers 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

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Lin HangDepartment of Nursing, Zhejiang University School of Medicine the First Affiliated Hospital, Hangzhou, China.ORCID https://orcid.org/0000-0001-7528-9660
Jieping ZhangDepartment of Nursing, Zhejiang University School of Medicine the First Affiliated Hospital, Hangzhou, China.
Zhongjie LuDepartment of Thoracic Surgery, Zhejiang University School of Medicine the First Affiliated Hospital, Hangzhou, China.
Yuan MiaoDepartment of Nursing, Zhejiang University School of Medicine the First Affiliated Hospital, Hangzhou, China.
Yu Fang ZengDepartment of Nursing, Zhejiang University School of Medicine the First Affiliated Hospital, Hangzhou, China.
MinMin ZhangDepartment of Nursing, Zhejiang University School of Medicine the First Affiliated Hospital, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Breathing rehabilitation is an important method for post-operative recovery in lung cancer patients. However, no studies have yet utilized Internet of Things (IoT) technology to manage the perioperative period for lung cancer surgery patients. This randomized controlled trial (RCT) aims to evaluate the intervention effect of an IoT-based breathing training program on the improvement of lung function trajectories in lung cancer surgery patients. Methods and analysis: This study adopts a multicenter, randomized, open, parallel-controlled design, aiming to explore the efficacy of perioperative IoT-based breathing rehabilitation management on the post-operative lung function trajectory in lung cancer patients. A total of 340 lung cancer patients undergoing lung resection and treated in our department from September 2024 to September 2026 will be enrolled, with the final number of patients meeting the inclusion and exclusion criteria as the standard. Eligible participants will be randomly divided into two groups at a 1:1 ratio (IoT-based breathing rehabilitation group or breathing exercise group) for perioperative management, with planned lobectomy or sub-lobectomy procedures. Discussion: The aim is to use lung function trajectories as the primary indicator to evaluate the intervention effect of an IoT-based respiratory training program on the improvement of lung function trajectories in lung cancer surgery patients. Through scientific evaluation, a better understanding of the impact of this respiratory rehabilitation program on patients' lung function recovery can be achieved, providing scientific evidence for clinical practice and promoting the rehabilitation of lung cancer surgery patients. It is necessary to further verify its role in home management and pre-rehabilitation. Registration details: China Clinical Trial Registry (ChiCTR2600123294); https://www.chictr.org.cn/showproj.html?proj=304879.

Indexed as

artificial intelligenceinternet of thingsprotocolrandomized controlled studyrespiratory rehabilitation

Identifiers

PMID42183304
PMCPMC13195227

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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.