Effect of transvaginal sonography on the use of invasive procedures for evaluating patients with a clinical diagnosis of ectopic pregnancy
Bibliographic record
Abstract
PURPOSE: Our purpose was to determine the effect of transvaginal sonography (TVS) on the diagnostic evaluation of patients with suspected ectopic pregnancy (EP). Specifically, we wished to determine what effect TVS had on the use of invasive procedures. METHODS: This was a retrospective review of the medical records of 290 patients with a surgically documented diagnosis of EP. It included 147 consecutive patients from the era of use of suprapubic sonography (SPS) (1982-1987) and 143 consecutive patients from the era of use of TVS (1987-1995). We compared the percentages of patients who had undergone sonographic examinations, the rates of use of the invasive procedures dilatation and curettage (D&C) and diagnostic laparoscopy (DL), time from presentation to diagnosis, necessity for transfusion, status of EP at surgery, and various other characteristics of the patients (eg, demographics, serum level of beta human chorionic gonadotropin, and presenting symptoms). RESULTS: In the SPS era, 46.9% of the patients had undergone sonography, compared with 78.3% in the TVS era (p = 0.001). Sonographic sensitivity was 60.9% in the SPS era and 93.8% in the TVS era (p = 0.001). D&C was performed in 53.1% and DL in 76.2% of patients in the SPS era, compared with 14.0% and 30.8%, respectively, in the TVS era (p = 0.001). In the last full year of the study, only 9% of the patients had undergone D&C and 9%, DL. The overall time from presentation to diagnosis significantly decreased from 45.6 hours in the SPS era to 16.8 hours in the TVS era (p = 0.002). We found no significant difference between the 2 eras in the need for transfusion and the percentage of ruptured EPs at surgery (p > 0.05). CONCLUSIONS: The introduction of TVS has had an important effect on the evaluation of patients with EP by nearly eliminating the need for D&C and DL and permitting clinicians to take a more conservative approach to managing EP.
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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 | 0.003 | 0.039 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".