Glucocorticoids for the treatment of anaphylaxis: Cochrane systematic review
Bibliographic record
Abstract
BACKGROUND: Anaphylaxis is a serious hypersensitivity reaction that is rapid in onset and may result in death. A number of guidelines recommend glucocorticoids for the treatment of people experiencing anaphylaxis. OBJECTIVES: We sought to assess the benefits and harms of glucocorticoid treatment during episodes of anaphylaxis. METHODS: We searched the Cochrane Central Register of Controlled Trials (CENTRAL) (The Cochrane Library 2009, Issue 3), MEDLINE (Ovid) (1966 to September 2009), EMBASE (Ovid) (1988 to September 2009), CINAHL (EBSCOhost) (to September 2009) and The Science Citation Index Expanded (SCI-EXPANDED) (1945 to September 2009). We also searched the UK National Research Register and websites listing ongoing trials and contacted international experts in anaphylaxis in an attempt to locate unpublished material. We sought to include randomized and quasi-randomized controlled trials comparing glucocorticoids with any control (either placebo, adrenaline (epinephrine), an antihistamine, or any combination of these). Two authors independently assessed articles for inclusion. RESULTS: None of the 2496 reports identified satisfied the inclusion criteria. CONCLUSIONS: We conclude that there is no evidence from high-quality studies for the use of steroids in the emergency management of anaphylaxis. Therefore, we can neither support nor refute the use of these drugs for this purpose.
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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 | 0.004 | 0.020 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.005 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".