Reactivation of Plasma Butyrylcholinesterase by Pralidoxime Chloride in Patients Poisoned by WHO Class II Toxicity Organophosphorus Insecticides
Bibliographic record
Abstract
To the Editor, We commend Eddleston and coworkers for investigating the utility of butyrylcholinesterase (BuChE) activity as a surrogate marker for pralidoxime effectiveness in organophosphate (OP) poisoned patients (Konickx et al., 2013). Although the authors analyzed data from two of their previous studies (Eddleston et al., 2005, 2009), only the randomized controlled trial data demonstrated significant changes in BuChE with pralidoxime treatment. Based on the data presented in Figure 3 (Konickx et al., 2013), pralidoxime administration improves BuChE within the first hour following ingestion of diethoxy OP. Also, patients administered pralidoxime rapidly following ingestion had an increase in BuChE activity compared to those with late administration (Fig. 4). Although the group analysis did not show improved mortality or reduced need for intubation (Eddleston et al., 2009), we question whether analysis of a subgroup of patients who were both administered pralidoxime early and had evidence of reactivation of BuChE would have shown an improved clinical outcome. It would also have been useful to know whether the subsequent decrease in BuChE after initial rise following pralidoxime administration correlated with either worsening clinical status or the need for other treatment interventions.
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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.012 | 0.006 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".