Quality of Life after Multiple Trauma. Aim and Scope of the Conference
Bibliographic record
Abstract
From September 29 until October 2, 1999, a group of international experts met in Wermelskirchen, Germany, for a consensus conference on "Quality of Life after Multiple Trauma". The meeting was initiated and sponsored by the German Ministry of Education and Research. It was the aim of the group to develop evidence-based guidelines for the systematic evaluation and application of Quality of Life (QoL) measures in patients with severe trauma. The present paper describes the format of the meeting, the selection of the participants, the time schedule, and the proceeding, in order to facilitate the interpretation of the results. The work was structured according to the different types of injury: traumatic brain injury (TBI), multiple injuries without TBI, spinal cord injury, and children with TBI. For each injury group, a specific task force group with 9-13 members was established, consisting of methodologists as well as clinicians from different disciplines. The conference was organised as an alternate sequence of plenary sessions and small working group meetings. The work itself was structured according to the following five questions which have been agreed on and distributed to the participants in advance: 1. What is the major problem (ranking) of the patient at different time points after the accident? 2. Which domains of QoL are affected in the sequelae of trauma? 3. Which instruments are useful to evaluate QoL in trauma patients? 4. Which studies have assessed QoL aspects with which instruments? 5. What instruments should be used in which patient group at what time? The moderators of each task force group summarised the respective results and tried to give recommendations for future application of QoL assessment in trauma patients. As far as possible, the statements should be based on the existing evidence. Furthermore, the groups should recommend QoL measures for use across different patient groups and time points.
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 | 0.032 | 0.030 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.003 | 0.015 |
| Research integrity | 0.011 | 0.012 |
| Insufficient payload (model declined to judge) | 0.013 | 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".