The role of routine groin ultrasonography in the management of inguinal hernia
Bibliographic record
Abstract
BACKGROUND: Groin ultrasonography (US) has been used as an adjunct to inguinal hernia diagnosis, but there is limited evidence as to whether its use affects surgical decision-making. The primary aim of this study was to examine whether groin US affects surgical management of inguinal hernia; the secondary goal was to estimate the frequency of groin US ordered before surgical consultation. METHODS: We performed a retrospective chart review of 400 consecutive patients aged older than 18 years referred to 1 of 4 general surgeons in Calgary, Alberta, for inguinal hernia between January 2014 and January 2015. Bilateral groin examinations were entered as separate entries into the database. Outcomes assessed included the frequency of groin US examinations performed within 1 year before the general surgery consultation, presence of inguinal hernia on clinical examination (CE), presence of inguinal hernia on groin US, and whether the hernia proceeded to herniorrhaphy. RESULTS: A total of 476 groins in the 400 patients (354 [88.5%] male; mean age 53.5 yr [standard deviation 15.2 yr]) were evaluated for a hernia during the study period. Groin US was performed before general surgery consultation in 336 cases (70.6%). Overall, 364 (76.5%) of the hernias were clinically palpable; of the 364, 220 (60.4%) had preconsultation US, even in the presence of a positive CE finding. Of the 112 groins that did not have a clinically palpable hernia, 103 (92.0%) underwent preconsultation US. Of the 476 groins, 315 (66.2%) underwent inguinal hernia repair: 310 (85.2%) of the 364 with clinically palpable hernias and 5 (4.8%) of the 103 with clinically negative findings but positive groin US findings. Surgical decision-making based on CE findings occurred in 390 cases (81.9%) overall, whereas surgery based on groin US findings alone occurred in 5 of 336 cases (1.5%). CONCLUSION: Routine groin US was frequently performed before general surgery consultation, whether a hernia was detectable on clinical examination or not. Positive groin US results alone infrequently affected whether the patient proceeded to surgery. Clinical examination findings played a larger role in surgical decision-making than groin US results. Eliminating the practice of routine groin US may provide considerable health care cost savings.
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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 | 0.022 |
| 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 | 0.001 | 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".