Evidence-Based Clinical Practice Guidelines on Postdural Puncture Headache: A Consensus Report From a Multisociety International Working Group
Bibliographic record
Abstract
(Reg Anesth Pain Med. 2024;49:471–501. doi: 10.1136/rapm-2023-104817) Postdural puncture headache (PDPH) is a complication of dural puncture, either during epidural or spinal anesthesia administration. The symptoms (headache, neck stiffness, hearing reduction) associated with PDPH may be severe and affect daily activities. The management and prevention of PDPH has been examined, yet standards for medical care have not been identified. This evidence-based clinical practice guidelines seeks to provide more concrete guidelines for prevention, identification, and management of PDPH. A committee designed of delegates from various interested societies and medical specialties contributed to this study. A set of recommendations were agreed upon by said delegates through a process of submitting clinical questions, literature search and review, and voting through a modified Delphi approach. The following clinical questions were presented.
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 | 0.183 | 0.200 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.005 | 0.007 |
| Bibliometrics | 0.020 | 0.016 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.011 | 0.012 |
| Research integrity | 0.013 | 0.014 |
| Insufficient payload (model declined to judge) | 0.005 | 0.004 |
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".