Trial reportBMC medicine2025
Efficacy of digital therapeutics for perioperative management in patients with lung cancer: a randomized controlled trial.
Trial report in BMC medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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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.
- Artificial intelligence in thoracic surgery: a narrative review of clinical advances and applications in 2025.Journal of thoracic disease · 2026Review
- Symptom Cluster Trajectories of Cough, Shortness of Breath, and Disturbed Sleep in Patients Undergoing Lung Cancer Surgery: A Longitudinal Study.Annals of surgical oncology · 2026Article
- Perioperative EGFR-Targeted Therapy in Resectable EGFR-Mutated NSCLC: A Narrative Review from Drug Design to Pain-Informed MRD-Guided Care.Drug design, development and therapy · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
31 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPerioperative management and lung function recovery are vital for lung cancer patients. We conducted an open-label, single-center, noninferiority, randomized controlled trial in China to evaluate the efficacy of digital therapeutic (DTx)-assisted management vs. multidisciplinary management (MM) in the perioperative management of patients with lung cancer.
methodsFrom July 2022 to June 2023, 186 minimally invasive lung surgery patients were randomized, and 147 completed the study. The participants were randomly assigned a 1:1 ratio to receive DTx-assisted management (n = 72) or traditional MM (n = 75). The primary endpoint was the pulmonary function recovery rate measured by forced expiratory volume in the first second (FEV1%) 3 weeks after surgery, and the noninferiority margin was set to 4.8%. The secondary endpoints included hospital stay duration, 90-day unplanned readmission rate, symptom scores, patient management time, and patient satisfaction rate. Exploratory endpoints include factors influencing postoperative lung function recovery.
resultsThe lung function FEV1% recovery rate of the DTx group was not inferior to that of the MM group (87.18% ± 11.01% vs. 84.21% ± 11.75%). There were no significant differences between the two groups in terms of postoperative hospitalization duration or 90-day unplanned readmission rates. The patient management time in the DTx group was significantly shorter than that in the MM group (1.48 ± 3.22 min vs. 16.67 ± 6.41 min, P < 0.001). Patient symptom scores tended to decrease over time after discharge, and the 5 target symptoms included pain, coughing, shortness of breath, disturbed sleep, and fatigue. On the 7th day after discharge, the DTx group had a lower occurrence rate of the 5 target symptoms triggering the alert threshold compared to the MM group (P = 0.002). Patients with higher education levels achieved a better FEV1% recovery rate with DTx-assisted management (P = 0.021).
conclusionsCompared with the MM group, the DTx group achieved noninferior results in all evaluated clinically meaningful endpoints but was significantly more efficient in perioperative management, providing an alternative digitalized management mode for patients with lung cancer surgery.
trial registrationChiCTR2200064723.
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