Future directions in palliative thoracic radiotherapy
Bibliographic record
Abstract
PURPOSE OF REVIEW: Recent systematic review, practice guidelines, and consensus statements have summarized the known clinical trial information with regards to the appropriate use of external-beam radiation, brachytherapy, and concurrent chemotherapy (with external-beam radiotherapy) in the palliation of chest symptoms with thoracic radiotherapy. The purpose of this review is to describe our present knowledge with regards to palliative thoracic radiotherapeutic maneuvers and to identify potential areas for future research inquiry consistent with current knowledge gaps. RECENT FINDINGS: Two systematic reviews, one practice guideline, and one consensus statement based on published prospective clinical trials have demonstrated that palliative thoracic radiotherapy is an effective modality both in terms of symptom palliation and other important cancer outcomes. Evolving areas for future scientific inquiry include the role of advanced technologies such as intensity-modulated radiation therapy and image-guided radiation therapy, economic analyses as well as the creation of a common palliative endpoint that can be used for future clinical trials. SUMMARY: Robust clinical trial information and high-level knowledge-translation documents currently exist to guide radiotherapy practitioners to provide standard-of-care treatment for thoracic palliative scenarios.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".