A Comparison of Satisfaction With Life and the Glasgow Outcome Scale–Extended After Traumatic Brain Injury: An Analysis of the TRACK-TBI Pilot Study
Bibliographic record
Abstract
OBJECTIVE: To evaluate the relationship between satisfaction with life (SWL) and functional outcome after traumatic brain injury (TBI). SETTING AND PARTICIPANTS: The Transforming Research and Clinical Knowledge in Traumatic Brain Injury Pilot study (TRACK-TBI Pilot) enrolled patients at 3 US Level I trauma centers within 24 hours of TBI. DESIGN: Patients were grouped by outcome measure concordance (good-recovery/good-satisfaction, impaired-recovery/impaired-satisfaction) and discordance (good-recovery/impaired-satisfaction, impaired-recovery/good-satisfaction). Logistic regression was utilized to determine predictors of discordance. MAIN MEASURES: Functional outcome: Glasgow Outcome Scale-Extended (GOSE); SWL: Satisfaction with Life Scale (SWLS). RESULTS: Of the 586 enrolled subjects, 298 had completed both outcome measures at 6-month follow-up; the correlation between GOSE and SWLS was 0.380. Patients with impaired-recovery (GOSE < 7)/impaired-satisfaction (SWLS < 20) were more likely to have mild TBI (83% vs 62%, P = .012), baseline depression (42% vs 15%, P < .0001), and 6-month depression (59% vs 21%, P < .0001) when compared with patients with impaired-recovery/good-satisfaction. Patients with good-recovery/impaired-satisfaction were more likely to have baseline depression (31% vs 13%, P < .0001) and 6-month depression (33% vs 6%, P < .0001) compared with good-recovery/good-satisfaction. CONCLUSION: Correlation between SWL and functional outcome was not strong, and depression may modulate the association. Future research should account for functional, mental health, and patient-centered outcomes when assessing TBI recovery.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".