Use of fetal fibronectin in the management of preterm labour in Nunavut.
Bibliographic record
Abstract
OBJECTIVES: To manage suspected preterm labour in the Baffin Region of Nunavut safely and more conservatively utilizing the Fetal Fibronectin Assay. STUDY DESIGN: Chart Review. METHODS: The trial of Fetal Fibronectin took place in the Baffin Region of Nunavut. An initial chart review of all admissions for "false labour" to Baffin Regional Hospital was performed. An analysis of the cases was done to determine when the women delivered and whether they had been Medevaced. The Fetal Fibronectin test was implemented at five sites in the Baffin Region and data on each use of the assay were collected by the laboratory at Baffin Regional Hospital. A review of the data for the first 13 months of the trial was then done. RESULTS: The test was used 38 times between July 2004 and September 2005. There were 31 negative results. Most of the cases with negative results were managed conservatively, with a total of 18 Medevacs avoided. There were no false negative tests. Cost savings for avoided Medevacs were in the order of $200,000. CONCLUSIONS: The Fetal Fibronectin Assay has proven to be a valuable adjunct in the management of suspected preterm labour in Nunavut.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".