Gallbladder polyps: the more cases we observe, the more questions we ask
Bibliographic record
Abstract
Background. Gallbladder polyps have recently become more common in practice of general practitioners and gastroenterologists due to the improvement of instrumental imaging of the abdominal cavity. Aim of study: to analyze the dynamics of development of gallbladder polyps at an outpatient appointment of a general practitioner (gastroenterologist). Materials and methods. A prospective clinical five-year study of patients with gallbladder polyps was conducted. All patients underwent ultrasound examination of the abdominal organs (Voluson E10) once every six months during five years. Number and nature of the growth of polyps, size of the gallbladder, presence/absence of complaints, and burdened history of neoplastic diseases were evaluated in the dynamics of observation. Data obtained were subjected to standard statistical processing. Results. The study included 33 patients (14 men, 19 women aged 24–65 years, average age 45.19±1.73 yrs). In the initial ultrasound study, the number of visualized polyps varied from 1 to 5 (on average, 2.09±0.95), the size of the neoplasms ranged from 2 mm to 10 mm (on average, 5.75±1.10 mm). Burdened heredity in oncopathology was noted in 42.86% of men and 31.58% of women. Legless polyps were more often diagnosed in men (14.29%), while in women, polyps increased in size in the dynamics of observation >10 mm and a higher frequency of surgical interventions (cholecystectomy) were more often recorded. Conclusion. Gallbladder polyps tend to grow slowly. We outlined the questions facing the clinician in the management of patients with gallbladder polyps in terms of choosing the optimal tactic and surgical treatment due to the possible malignancy of these formations.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".