Valuing gene testing in children with possible neurofibromatosis 1
Bibliographic record
Abstract
With the growing number of clinical guidelines recommending genetics tests in routine clinical care, the value of these tests should be evaluated. We examined the economic value of offering genetic testing to children with possible neurofibromatosis 1 (NF1) in British Columbia. Diagnosis of NF1 is usually made based on diagnostic clinical criteria, but molecular diagnostic testing, currently offered on a case-by-case basis in BC, now reliably diagnoses NF1 in 95% of cases. Children who present with some clinical features but whose findings are insufficient to meet the diagnostic criteria are labelled as having 'possible NF1'. Current guidelines call for these children to be followed as they have NF1, leading to annual ophthalmologic examinations and screening for complications; thus, there are increased costs to health care system. We created a model to account for these costs to the health care system, comparing the current protocol with one that would offer all children diagnosed with possible NF1 with genetic testing. Focusing on the incremental cost allowed us to determine that genetic testing provides good value, and patient interviews provided insight into the qualitative benefits of an earlier firm diagnosis. These findings may be helpful in guiding health policy decision-making.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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".