Quality of life after multiple trauma -- summary and recommendations of the consensus conference
Bibliographic record
Abstract
In October 1999, an international and interdisciplinary consensus conference was held about the assessment and application of quality of life (QoL) measures after multiple trauma. Four working groups represented the following patients: children with traumatic brain injury (TBI); adults with TBI, adults with multiple injuries (but without TBI), and adults with spinal cord injury. According to predefined questions, the groups tried to identify the relevant problems of the patients, at different time points after the traumatic event. A review of the existing instruments for quality of life assessment and the evidence of their application in trauma patients in the scientific literature was performed by each group. Based on the results of these literature reviews it was concluded that there are not enough data to establish "evidence-based" guidelines for QoL assessments in these patients. Nevertheless, the groups comprised of experts clinicians and methodologists, agreed on the Glasgow Outcome Scale and the SF-36 as generic tools for QoL assessment across all trauma patients. It was further recommended to use these generic tools in combination with condition-specific instruments to better reflect the specific problems of the patients. Finally, the whole group suggested that it was not appropriate to view this conference as a "final report" about QoL assessment in trauma patients, but rather it should be seen as a starting point for increased efforts to initiate clinical research projects using QoL as an outcome, to develop better instruments, and to include QoL assessments into daily routines.
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 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 | 0.065 | 0.062 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.006 |
| Bibliometrics | 0.008 | 0.008 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.009 | 0.006 |
| Research integrity | 0.013 | 0.016 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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".