Frequency of splenectomy for pediatric splenic injury in Brazil: a retrospective analysis
Bibliographic record
Abstract
Background: Non-operative management for pediatric blunt splenic injury is well established in high-income countries, leading to a low splenectomy rate in hemodynamically stable children. Splenectomy rate became a quality indicator for Trauma Center verification utilized by the American College of Surgeons Committee on Trauma. However, data on splenectomy rate in children from countries with different income levels, such as Brazil, remain limited. This study aimed to assess the post-traumatic splenectomy rate among Brazilian children over the past decade and the relation with local resources. Methods: Data on pediatric splenic injuries and splenectomies from 2008 to 2019, including patient age and admitting service (adult or pediatric), were obtained from FioCruz database, a public, free, cloud-based platform that offers extensive national health data. The regional numbers of pediatric surgeons, pediatric intensive care unit (PICU) beds, and computed tomography scanners were obtained from Brazilian national databases. A national analysis of splenectomy rate by year and service of admission and an analysis of splenectomy rate by the level of regional resources, the number of pediatric surgeons, PICU beds, and computed tomography scanners was performed. Findings: 4061 children were hospitalized with a splenic injury, and 2287 (51.8%) of them underwent splenectomy, unchanged over time. 76.8% were male and 23.1% female patients with splenic injury. Mean age was 11.61 years old. The odds of splenectomy was 14.77 times higher for pediatric patients admitted under adult surgical service compared to pediatric service (OR = 14.77, 95% CI 11.75-18.56, p < 0.0001). The overall increase in pediatric surgeons, PICU beds, and CT scanner availability did not correspond with changes in splenectomy rate. Interpretation: The post-traumatic splenectomy rate among Brazilian children is high, far exceeding that of high-income countries. Increased regional pediatric resources did not correspond to a decrease in splenectomy rate. Further research is essential to understand Brazil's barriers to adopting non-operative management for pediatric splenic injuries. Funding: This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| 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 teacher head, 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".