Association of the neutrophil–lymphocyte ratio to patient outcomes after trauma: A systematic review
Why this work is in the frame
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Bibliographic record
Abstract
Introduction Early identification of trauma injury severity is important for prognostication. The neutrophil–lymphocyte ratio (NLR) has been proposed as a marker of systemic inflammation in major trauma patients that is associated with in-hospital mortality. The aim of this systematic review is to compile all the best evidence available to determine the prognostic capabilities of the NLR in trauma and to assess the NLR as a predictor of mortality in adult major trauma patients. Additionally, comparing NLR and hospital length of stay (LOS), ICU LOS, mechanical ventilation and transfusion requirements. Methods We conducted a search of online information sources to identify manuscripts observing the NLR in adult major trauma patients. Outcomes of interest include mortality as defined by the author, hospital LOS, ICU LOS, mechanical ventilation and transfusion requirements. Quality was assessed using the Newcastle–Ottawa Scale. We aimed to conduct a meta-analysis if there were sufficient manuscripts included. Results Eight studies fulfilled our inclusion criteria. Trials were of good methodological quality. Substantial heterogeneity present between the studies prevented a meta-analysis from being conducted. Overall, five studies demonstrated the NLR as a significantly predictive marker of mortality. NLR was observed to be significantly associated with increased ICU LOS and longer duration of mechanical ventilation. Mixed results were observed between NLR and hospital LOS and transfusion requirements. Conclusions A potential association between NLR and mortality, ICU LOS and duration of mechanical ventilation has been reported. However, clinical utility of this measure during trauma resuscitation remains unknown.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.006 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| 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