Imaging in patients with chronic granulomatous disease
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Chronic granulomatous disease (CGD) is a primary immunodeficiency caused by defects in any of the subunits of nicotinamide adenine dinucleotide phosphate oxidase complex, required for proper phagocyte killing of bacteria and fungi. Most of the cases are X-linked, but autosomal recessive cases have also been identified. Patients suffer from recurrent, life-threatening infections and granulomatous inflammation of the skin, lymph nodes, lungs, liver, spleen, brain, and bones. CGD can be cured by hematopoietic stem cell transplantation. Imaging studies such as radiography, ultrasound, computed tomography, and magnetic resonance imaging play a key role in identifying the changes driven by both infection and dysregulated inflammation. These studies are critical for guiding management of this disorder. We present the most illustrative images from 7 patients with CGD. Statement of novelty: Imaging studies are highly useful for diagnosis, treatment, and follow-up of patients with CGD. We present images from children with CGD that manifested their disease in different organs and tissues, illustrating the typical location of infections and dysregulated inflammation in these types of patients.
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.
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 it