Closed head experimental traumatic brain injury increases size and bone volume of callus in mice with concomitant tibial fracture
Bibliographic record
Abstract
Concomitant traumatic brain injury (TBI) and long bone fracture are commonly observed in multitrauma and polytrauma. Despite clinical observations of enhanced bone healing in patients with TBI, the relationship between TBI and fracture healing remains poorly understood, with clinical data limited by the presence of several confounding variables. Here we developed a novel trauma model featuring closed-skull weight-drop TBI and concomitant tibial fracture in order to investigate the effect of TBI on fracture healing. Male mice were assigned into Fracture + Sham TBI (FX) or Fracture + TBI (MULTI) groups and sacrificed at 21 and 35 days post-injury for analysis of healing fractures by micro computed tomography (μCT) and histomorphometry. μCT analysis revealed calluses from MULTI mice had a greater bone and total tissue volume, and displayed higher mean polar moment of inertia when compared to calluses from FX mice at 21 days post-injury. Histomorphometric results demonstrated an increased amount of trabecular bone in MULTI calluses at 21 days post-injury. These findings indicate that closed head TBI results in calluses that are larger in size and have an increased bone volume, which is consistent with the notion that TBI induces the formation of a more robust callus.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".