Clinical and genetic characteristics and orthopedic manifestations of the Saul–Wilson syndrome in two Russian patients
Bibliographic record
Abstract
Background. SaulWilson syndrome (SWS, microcephalic osteodysplastic dysplasia) is a rare genetic variant of skeletal dysplasia and is determined based on the modern classification for thin bone dysplasias. To date, 16 patients with SWS from different countries have been identified. Clinical cases. We presented the first description of the clinical and genetic characteristics of two Russian patients with SWS and compared them with published data. The main clinical manifestations of SWS are characterized by a combination of nanism and pathology of long tubular bones, spine, and eyes. Changes in the phenotype of patients in different age groups were analyzed. Discussion. In the analysis of the clinical manifestations of the observed patients and patients described in the literature, typical dysmorphic features of the face and radiographic data help in the diagnosis of SWS upon clinical examination. In the majority of the described patients, the nucleotide substitution c.1546GA is the major mutation in the gene responsible for SWS, which leads to the replacement of the amino acid Gly516Arg in the protein molecule. Conclusion. Based on the identified specific features of the phenotype of patients with SWS and the presence of a major mutation in the COG4 gene, a priority analysis of gene mutations is necessary. Orthopedic manifestations of SWS can lead to life-threatening conditions (cervical spine instability) and motor limitations (progressive osteoarthritis) and thus should be monitored dynamically.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".