Indications for use of damage control surgery and damage control interventions in civilian trauma patients
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Variation in the use of damage control (DC) surgery across trauma centers may partially be driven by uncertainty as to when the procedure is indicated. We sought to scope the literature on DC surgery and DC interventions, identify their reported indications, and examine the content and evidence upon which they are based. METHODS: We searched MEDLINE, EMBASE, PubMed, Scopus, Web of Science, and the Cochrane Library (1950-February 14, 2014) and the grey literature for original and nonoriginal citations reporting indications for DC surgery or DC interventions in civilian trauma patients. RESULTS: Among 27,732 citations identified, we included 270 peer-reviewed articles in the scoping review. Of these, 156 (57.8%) represented original research, primarily (75.0%) cohort studies. The articles reported 1,099 indications for DC surgery and 418 indications for 15 different DC interventions. The majority of indications for DC interventions were for abdominal (56.5%) procedures, including therapeutic perihepatic packing (56.5%), temporary abdominal closure/open abdominal management (40.7%), and staged pancreaticoduodenectomy (2.8%). Most DC surgery indications were based on intraoperative findings (71.7%) and represented characteristics of the injured patient (94.5%), including their physiology (57.6%), injuries (38.9%), and/or the amount or type of resuscitation provided (14.3%). Others were dependent on characteristics of the treating surgeon (12.1%), the patient's physiologic response to trauma care (9.6%), and/or the trauma care environment (1.5%). Approximately half (49.5%) included a decision threshold (e.g., pH < X) and, while most (74.7%) were based on a single clinical finding/injury, 25.3% required the presence of multiple findings concurrently. Only 87 indications were evaluated in original research studies and only 9 by more than one study. CONCLUSION: The vast number, varying underlying content, and lack of original research relating to indications for DC suggests that substantial uncertainty exists around when the procedure is indicated and highlights the need to establish evidence-informed consensus indications.
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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 | 0.002 |
| 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 it