Regional Analgesia Differential Sensory Block During Labor Epidural Analgesia: A Prospective Observational Study to Investigate the Relationship of Lower and Upper Sensory Block Levels to Cold, Pinprick, and Light Touch
Bibliographic record
Abstract
(Can J Anesth. 2024;71(6):802–807. doi:10.1007/s12630-023-02638-5) The prevailing choice for mothers requesting pain management during labor and delivery is epidural analgesia (EA). The use of a sensory block assessment is necessary to understand how the body is responding to the analgesia, both in an effort to ensure pain is effectively managed and the dose is not affecting the body adversely. Various assessment methods have been investigated, however, the use of a pragmatic bedside assessment by a clinician is the most favored. When anesthesia is used in preparation for a cesarean delivery, published data demonstrates that the use of either cold, pinprick, or light touch may be applied to accurately assess the sensory block. However, there is a lack of data firmly describing the use of these methods in anesthetics used during a vaginal birth. Thus, the authors sought clarification on whether cold, pinprick, and light touch are substrates equally attuned for such assessments.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".