<i>Chlamydial bacteriophage</i>: No Role in Acute Coronary Events?
Bibliographic record
Abstract
BACKGROUND: A relationship between Chlamydia pneumoniae infection and acute coronary syndromes has not been consistently found in published studies. It has been hypothesized that a bacteriophage-infected subset of C pneumoniae may be uniquely equipped to promote atherosclerosis and acute coronary syndromes through the expression of phage genes. METHODS: The authors performed a pilot case-control study of acute coronary events. Case and control subjects were characterized demographically and according to recognized coronary risk factors. These subjects also provided serum for the detection of antibody to the elementary bodies of C pneumoniae and antibody to the Vp1 protein coded by the phage. Bivariate and multivariate comparisons were performed using statistics appropriate for paired analyses. RESULTS: Antibodies to C pneumoniae, Vp1 protein or both were not associated with acute coronary events by bivariate or multivariate analysis. As expected, case subjects were significantly more likely to have hypertension, hypercholesterolemia or diabetes mellitus. CONCLUSION: The present study adds to a growing body of literature that does not support the hypothesized relationship between C pneumoniae (or a phage-infected subset of C pneumoniae) and acute coronary syndromes.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".