Continuous Erector Spinae Plane Block for Pain Management Following Thoracotomy for Aortic Coarctectomy
Bibliographic record
Abstract
Pain following thoracotomy is one of the most severe forms of postoperative pain. Post-thoracotomy pain may increase the risk of post-surgical pulmonary complications, postoperative mortality, prolong hospitalization, and increase utilization of healthcare resources. To mitigate these effects, anesthesia providers commonly employ continuous epidural infusions, paravertebral blocks, and systemic opioids for pain management and improvement of pulmonary mechanics. We report the use of a continuous erector spinae plane block (ESPB) via a peripheral nerve catheter for postoperative pain management of an 18-year-old patient who underwent complex aortic coarctation repair via lateral thoracotomy, aided by cardiopulmonary bypass. Continuous ESPB proved to be an acceptable alternative for postoperative pain control, producing a substantial multi-dermatomal sensory block, resulting in adequate pain control, reduced opioid consumption, and a potentially shorter hospital stay.
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 | 0.000 | 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".