Rapid evaluation of the absence of inflammation after rupture of membranes
Bibliographic record
Abstract
OBJECTIVES: The aim of this study was to validate the results of an immunochromatographic bedside test to detect IL6 and IL8 in vaginal secretions after rupture of membranes (ROM) with results obtained by ELISA tests. METHODS: A prospective cohort of 60 women with ROM or preterm ROM (PROM) was recruited. An immunochromatographic bedside test was performed with vaginal secretions samplings at admission, every 48 hrs until labor and during labor. Remaining samples were frozen for ELISA analysis. The results of bedside tests were compared to those from ELISA analysis for 114 samples. RESULTS: With all samples combined, the positive predictive values were 50% for IL6 and 86.8% for IL8 and the negative predictive values were 97.4% for IL6 and 53.3% for IL8. Kappa coefficients were 0.54 for IL6 and 0.41 for IL8. CONCLUSION: Our findings show that a bedside test can detect the absence of IL6 in vaginal secretions. This result suggests that bedside test could be used for expectant management after premature PROM to inform the attending physician of the absence of inflammation in vaginal secretions.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".