Vaccination of a Patient with Rett Syndrome: Case Report
Bibliographic record
Abstract
Rett syndrome is a rare hereditary disease that is one of the most common causes of intellectual disability in girls. The disease manifests itself in 6–18 months of life. Common symptoms of Rett syndrome include progressive mental and speech development delay, regression of previously acquired speech and motor skills, respiratory disorders, epilepsy, pathology of the gastrointestinal tract, endocrine, cardiovascular and urinary systems, which significantly impairs the vital functions of patients. Many children with this disease receive preventive vaccinations behind schedule or are not vaccinated at all, which is due to both refusals from parents and unjustified medical challenges from specialized specialists. The article presents a case report of a 5-year-old girl with Rett syndrome who was vaccinated later than the date indicated in the national calendar of preventive vaccinations of the Russian Federation and did not have all the necessary preventive vaccinations for her age. By contacting the Pediatrics and Child Health Research Institute in Petrovsky National Research Centre of Surgery the patient was examined by specialist specialists and referred to the Department of vaccine prevention. A serological study of the intensity of immunity to vaccine-controlled infections was conducted before and after the course of vaccinations, and an individual vaccination plan was drawn up. The department carried out immunization against chickenpox, pneumococcal and meningococcal infections, revaccination against polio, as well as vaccination against hepatitis A. In the future, a vaccination plan was drawn up for preventive vaccinations at the place of residence, and immunization of the entourage was recommended.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.007 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".