Measurement of Gallbladder Volume with Ultrasonography in Pregnant Women
Bibliographic record
Abstract
Fasting and postprandial gallbladder volumes were investigated using ultrasonography in three groups (10 subjects in each) of healthy women: third trimester pregnant women, postpartum women up to 10 days after giving birth and nonpregnant controls. The scans were performed at 09:00 after a 12 h fast. After the basal measurement was taken, gallbladder volumes were rescanned in 15 min intervals for 60 mins. At the end of this period, all volunteers received a standard liquid test meal, and scans were performed again for 1 h. The mean basal gallbladder volume was 22.2+/-4.2 mL in the nonpregnant (control) group. In the third trimester group, the basal volume was 37.8+/-10.5 mL -70.5% higher than in the nonpregnant group (P<0.001). In the postpartum group, the mean basal volume was 37.9% lower (27.4+/-6.5 mL) than that of the third trimester group (P<0.02). This basal volume was 23.6% greater than that of the control group (P<0.05). After administration of a test meal, the postprandial gallbladder volumes decreased during the first few minutes compared with baseline values. The volumes decreased by 10.2% to 39.8% (23.5+/-7.3 to 34.0+/-10.2; P<0.01) in the third trimester group, by 14.9% to 43.2% (16.6+/-4.3 to 23.3+/-5.5; P<0.01, 0.001) in the postpartum group and by 19.2% to 51.6% (11.9+/-3.5 to 17.9+/-3.6; P<0.02, 0.05, 0.01, 0.001) in the control group. Postprandial mean gallbladder volumes of the third trimester (P<0. 02) and postpartum groups (P<0.02 to 0.01) were significantly different from those of the control group. In conclusion, incomplete emptying of the gallbladder after eating during the third trimester of pregnancy may contribute to cholesterol-gallstone formation, and pregnancy may thus increase the risk of gallstones.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".