Clinical findings of the second 1000 UK Gulf War Veterans who attended the Ministry of Defence’s Medical Assessment Programme
Bibliographic record
Abstract
OBJECTIVE: To review the diagnoses made in the second 1000 veterans of the Gulf conflict 1990-91 seen in the Ministry of Defence's Gulf Veterans' Medical Assessment Programme and to determine the main conditions related to Gulf service. DESIGN: Case series of 1000 consecutive Gulf veterans who presented to the programme between 25 February 1997 and 19 February 1998. SUBJECTS: Gulf War veterans. MAIN OUTCOME MEASURES: Assessment of the patient's health status. Diagnosis of medical and psychiatric conditions using ICD-10. RESULTS: 204 patients were unwell. 309 patients had organic disease, of whom 248 were well, 252 had psychiatric conditions which remained active in 173. The remaining 79, now well, had had psychiatric disorders following Gulf service. The principal psychiatric diagnosis was post traumatic stress disorder and the majority arose as a result of Gulf service. CONCLUSION: 796 (80%) veterans were well. There were 309 (31%) patients with organic disease. 252 (25%) veterans had psychiatric conditions of which 173 (69%) had an active diagnosed disorder and post traumatic stress disorder was the predominant condition. The pattern of disease is similar to that seen in NHS practice. We found, like others, no evidence to support a unique Gulf War syndrome. Post conflict illnesses have many common features.
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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 | 0.006 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".