Postoperative chronic operation-related symptoms after minimally invasive lung surgery: a prospective observational protocol
Bibliographic record
Abstract
INTRODUCTION: Significant numbers of patients undergoing minimally invasive lung surgery develop chronic symptoms such as chronic pain and chronic cough after surgery, which may lead to a reduced quality of life (QoL). Despite this, there remains a dearth of high-quality prospective studies on this topic. Therefore, our study aims to systematically investigate the incidence and progression of long-term chronic symptoms following minimally invasive lung surgery, as well as changes in patient's psychological status and long-term QoL. METHODS: This is a single-centre, observational, prospective study that included patients with stage I non-small cell lung cancer or benign lesions. Prior to surgery, patients' baseline levels of chronic pain, chronic cough and sleep will be documented. Anxiety, depression and QoL assessments will be conducted using the Hospital Anxiety and Depression Scale (HADS) and the European Organisation for Research and Treatment of Cancer (EORTC) 30-item QoL Questionnaire (QLQ-C30). Following surgery, pain and cough will be evaluated during the initial 3 days using the Numeric Pain Rating Scale and Visual Analogue Scale score, with assessments performed thrice daily. Additionally, sleep status will be recorded daily during this period. Subsequently, postoperative chronic symptoms and QoL will be assessed at weeks 1, 2, 4, 12, 26 and 52. Chronic cough will be evaluated using the Leicester Cough Questionnaire, chronic pain will be assessed via the Brief Pain Inventory and McGill Pain Questionnaire while the EORTC QLQ-C30 questionnaire and HADS will provide continuous monitoring of QoL, anxiety and depression statuses. Data will also include the timing of chronic symptom onset, predisposing factors, as well as aggravating and relieving factors. ETHICS AND DISSEMINATION: Ethical approval was obtained from the Ethics Committees of Fujian Medical University Union Hospital. The findings will be disseminated in peer-reviewed publications. TRIAL REGISTRATION NUMBER: NCT06016881.
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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 | 0.015 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".