Prehospital Decompression of Pneumothorax: A Systematic Review of Recent Evidence
Bibliographic record
Abstract
INTRODUCTION: Pneumothorax remains an important cause of preventable trauma death. The aim of this systematic review is to synthesize the recent evidence on the efficacy, patient outcomes, and adverse events of different chest decompression approaches relevant to the out-of-hospital setting. METHODS: A comprehensive literature search was performed using five databases (from January 1, 2014 through June 15, 2020). To be considered eligible, studies required to report original data on decompression of suspected or proven traumatic pneumothorax and be considered relevant to the prehospital context. They also required to be conducted mostly on an adult population (expected more than ≥80% of the population ≥16 years old) of patients. Needle chest decompression (NCD), finger thoracostomy (FT), and tube thoracostomy were considered. No meta-analysis was performed. Level of evidence was assigned using the Harbour and Miller system. RESULTS: A total of 1,420 citations were obtained by the search strategy, of which 20 studies were included. Overall, the level of evidence was low. Eleven studies reported on the efficacy and patient outcomes following chest decompression. The most studied technique was NCD (n = 7), followed by FT (n = 5). Definitions of a successful chest decompression were heterogeneous. Subjective improvement following NCD ranged between 18% and 86% (n = 6). Successful FT was reported for between 9.7% and 32.0% of interventions following a traumatic cardiac arrest. Adverse events were infrequently reported. Nine studies presented only on anatomical measures with predicted failure and success. The mean anterior chest wall thickness (CWT) was larger than the lateral CWT in all studies except one. The predicted success rate of NCD ranged between 90% and 100% when using needle >7cm (n = 7) both for the lateral and anterior approaches. The reported risk of iatrogenic injuries was higher for the lateral approach, mostly on the left side because of the proximity with the heart. CONCLUSIONS: Based on observational studies with a low level of evidence, prehospital NCD should be performed using a needle >7cm length with either a lateral or anterior approach. While FT is an interesting diagnostic and therapeutic approach, evidence on the success rates and complications is limited. High-quality studies are required to determine the optimal chest decompression approach applicable in the out-of-hospital setting.
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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 | 0.007 | 0.032 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.009 | 0.008 |
| Bibliometrics | 0.012 | 0.012 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".