Phrenic Nerve Blockade to Diagnose and Treat Diaphragmatic Pain After Surgical Repair of Congenital Diaphragmatic Eventration
Bibliographic record
Abstract
A 46-year-old woman presented with pain in the lateral side of the left chest wall and a sensation of fullness and pulling in the epigastric region, which started 4 weeks following diaphragmatic plication for left diaphragmatic eventration. The patient was diagnosed as suffering from post-thoracotomy pain syndrome (PTPS). A diagnostic intercostal nerve block relieved the chest wall pain, but not the epigastric pain. After a detailed evaluation, the epigastric pain was postulated to be of diaphragmatic origin and hence a diagnostic phrenic nerve block was performed which relieved the epigastric pain. Combined intercostal nerve neurolysis and phrenic nerve block relieved her pain completely. The phrenic nerve may play a role in pain transmission and the genesis of chronic pain following diaphragmatic surgery. Diaphragmatic pain following surgery may contribute to the development of chronic pain. Phrenic nerve blockade provides diagnostic information regarding the etiology of pain as well as being effective in providing analgesia. The technique of phrenic nerve block is presented and its role in the diagnosis and treatment of pain following thoracic surgery is reviewed.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".