Central Nervous System Involvement in Neonatal Lupus Erythematosus
Bibliographic record
Abstract
Computerized tomography (CT) of the brain was performed in 10 of 11 consecutive infants with neonatal lupus erythematosus (NLE) (five boys and six girls). Ten of the 11 infants had brain neurosonography. Nine of 10 infants had abnormal CT scans. There was diffuse, markedly reduced attenuation of the cerebral white matter in four infants studied in the first week of life, and also in an infant 5 weeks of age. Patchy reduced subcortical white matter attenuation was observed in another 5-week-old infant. Basal ganglia calcifications were present in two infants at 2 months of age, one of whom also had mild ventriculomegaly. A patient with macrocephaly studied at 4 months of age had enlarged ventricles and subarachnoid spaces consistent with benign macrocephaly of infancy. Cerebral ultrasound examination was abnormal in all five infants studied in the first week of life and in one infant at 2 months of age. Findings included subependymal cysts (4), echogenic white matter (3), and echogenic lenticulostriate vessels (3). Apart from one case of macrocephaly, there was no clinical evidence of neurologic disease and the subsequent development of these infants has been normal. Subclinical central nervous system (CNS) disease in NLE is likely to be a transient phenomenon that resolves as maternal antibodies are cleared from the infant's circulation. It is important to be aware of these neuroimaging abnormalities to avoid misdiagnosis of congenital viral infection in a newborn with multisystem NLE. The potential for neurologic sequelae is uncertain.
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 | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".