Corticosteroid Treatment of Severe Community-Acquired Pneumonia
Bibliographic record
Abstract
OBJECTIVE: To assess the evidence for adjunctive corticosteroids for severe community-acquired pneumonia (CAP). DATA SOURCES: MEDLINE (1966-February 2007) and EMBASE (1980-February 2007) were searched to identify English- and French-language publications that evaluated the use of corticosteroids for CAP in adults. Major search terms included community-acquired pneumonia, intensive care unit, steroids, glucocorticoids, and adrenal cortex hormones. STUDY SELECTION AND DATA EXTRACTION: Clinical studies that evaluated the use of corticosteroids for CAP in adults were included. Clinical and surrogate markers of pneumonia were evaluated. DATA SYNTHESIS: Severe CAP is associated with an increase in pulmonary and circulatory cytokines such as interleukin-6 and tumor necrosis factor-alpha that may be associated with higher mortality. Corticosteroids suppress inflammatory reactions and prevent migration of inflammatory cells from the circulation to tissues by suppressing the synthesis of chemokines and cytokines. One observational comparative study and 2 randomized, controlled studies examined the effects of corticosteroid therapy at various doses on endpoints of pulmonary and systemic inflammation and clinical outcomes. One small observational pilot study revealed that methylprednisolone blunted some of the pulmonary and systemic markers of inflammation. One small, randomized, placebo-controlled study revealed that hydrocortisone had no significant effects on markers of pulmonary and systemic inflammation or clinical outcomes. Another small, randomized, placebo-controlled preliminary study with methodological limitations revealed improvements in oxygenation, organ dysfunction score, and markers of inflammation favoring hydrocortisone over placebo. CONCLUSIONS: Given the lack of proven benefit on clinically meaningful endpoints and adverse events, corticosteroids cannot be recommended for adjunctive treatment of severe CAP.
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 | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".