Invasive Mediastinal Staging of Non-Small-Cell Lung Cancer: A Clinical Practice Guideline
Bibliographic record
Abstract
INTRODUCTION: In non-small-cell lung cancer (nsclc), invasive mediastinal staging is typically used to guide treatment decision-making. Here, we present clinical practice guideline recommendations for invasive mediastinal staging in nsclc patients who have been staged T1-4, N0-3, with no distant metastases. METHODS: Draft recommendations were formulated based on the best available evidence gathered by a systematic review and a consensus of expert opinion. The draft recommendations underwent an internal review by clinical and methodology experts, and an external review by clinical practitioners through a survey assessing the clinical relevance and overall quality of the guideline. Feedback from the internal and external reviews was integrated into the clinical practice guideline. RESULTS: In general, most clinical experts agreed with the guideline, approving it for methodologic rigour. More than 80% of the surveyed practitioners gave it a high quality rating. The expert reviewers also provided written comments, with some of the suggested changes being incorporated into the final version of the guideline. CONCLUSIONS: In the clinical practice guideline, invasive mediastinal staging of nsclc is recommended in all cases except those involving patients with normal-sized lymph nodes, negative combine positron-emission tomography and computed tomography, and peripheral clinical stage 1A tumour. When performing mediastinoscopy, 5 nodal stations (2R/L, 4R/L, and 7) should routinely be examined.
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 | 0.016 | 0.040 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.011 | 0.007 |
| Insufficient payload (model declined to judge) | 0.002 | 0.003 |
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".