ArticleNPJ digital medicine2025
Systematic review on the technology's role in supporting lung cancer patients in the treatment journey.
Article in NPJ digital medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed.
- Article
- Article
- Predictors of Treatment Preparedness Among Lung Cancer Patients: The Role of Patient-Provider Communication.Journal of cancer education : the official journal of the American Association for Cancer Education · 2026Article
- Graphicalized vision-language modeling for comprehensive lung nodule analysis and risk stratification.NPJ digital medicine · 2026Article
- New model for remote symptom management and self-care of cancer patients based on digital health platforms: a narrative review.Translational cancer research · 2026Review
- Closed loop text guided framework for lung cancer lesion segmentation and quantification.NPJ digital medicine · 2026Article
- Digital health to strengthen pediatric surgical referral and follow-up in Low-resource settings: progress, gaps, and future directions.Frontiers in surgery · 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
7 authors.
Funding
Abstract
This systematic review examines the role of technology-based interventions in supporting lung cancer patients during their treatment. It identifies (1) the different technologies utilized, (2) their functions and benefits, and (3) the barriers encountered by patients. The authors searched six databases for literature examining the use of technology to support treatment among lung cancer patients. Twenty-three papers were included. We mapped each technology, telehealth platforms, online portals, and mobile apps, to specific treatment phases (pre-treatment, active treatment, post-treatment) and symptom domains (symptom management (N = 17), emotional distress (N = 12), and patient-provider communication (N = 7)). Our results demonstrate that technology can effectively alleviate treatment-related symptoms, reduce emotional burden, and enhance communication. Key barriers included low digital literacy and limited device access. By explicitly linking intervention types to treatment stages and patient needs, this review provides a practical framework for designing and implementing tailored digital support strategies in lung cancer care.
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.