ReviewTranslational lung cancer research2019
Proton therapy for non-small cell lung cancer: the road ahead.
Review in Translational lung cancer research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 20 citations in OpenAlex.
- Toxicity and Survival After Intensity-Modulated Proton Therapy Versus Passive Scattering Proton Therapy for NSCLC.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2021Trial
- The impact of pre-existing interstitial lung disease on radiation and checkpoint inhibitor pneumonitis in lung cancer patients: a systematic review and meta-analysis.Therapeutic advances in medical oncology · 2025Article
- Spectrum of Imaging Patterns of Lung Cancer following Radiation Therapy.Diagnostics (Basel, Switzerland) · 2023Review
- Article
- GOECP/SEOR radiotheraphy guidelines for non-small-cell lung cancer.World journal of clinical oncology · 2022Review
- Imaging Strategies in Proton Therapy for Thoracic Tumors: A Mini Review.Frontiers in oncology · 2022Review
- Who Will Benefit from Charged-Particle Therapy?Cancer research and treatment · 2021Review
- Challenges and Novel Opportunities of Radiation Therapy for Brain Metastases in Non-Small Cell Lung Cancer.Cancers · 2021Review
- Stereotactic radiotherapy for early stage non-small cell lung cancer: current standards and ongoing research.Translational lung cancer research · 2021Review
- Physics of Particle Beam and Hypofractionated Beam Delivery in NSCLC.Seminars in radiation oncology · 2021Review
- Optimizing current standard of care therapy for stage III non-small cell lung cancer.Translational lung cancer research · 2020Review
- NTCP Models for Severe Radiation Induced Dermatitis After IMRT or Proton Therapy for Thoracic Cancer Patients.Frontiers in oncology · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Proton therapy is an evolving radiotherapy modality with indication for numerous cancer types. With the benefits of reducing dose and sparing normal tissue, protons offer a clear physical and dosimetric advantage over photon radiotherapy for many patients. However, its impact on one type of disease, non-small cell lung cancer (NSCLC), is still not fully understood. Our review aims to highlight the data for using proton therapy in NSCLC, with a focus on the clinical data-or lack thereof-supporting proton treatment for early and advanced stage disease. In evaluating these data, we consider how future directions and advances in proton technology give rise for hope in defining a role for protons in improving NSCLC outcomes. We close with considerations for next steps and the challenges ahead in using proton therapy for this unique patient population.
Indexed as
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.