Pediatric Autoimmune Neuropsychiatry Disorder Associated with Group a Streptococcal Infection: The Role of Surgical Treatment
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
Pediatric Autoimmune Neuropsychiatric Disorders Associated with Streptococcus (PANDAS) is a well-defined syndrome in which tics (motor and/or vocal) and/or obsessive compulsive disorders (OCD) consistently exacerbate in temporal correlation to a Group A beta-haemolytic streptococcal infection. In children with PANDAS, there is speculation about whether tonsillectomy or adenotonsillectomy might improve the neuropsychiatric course. Our objective was to examine whether such surgery impacted remission or, in patients without remission, modified clinical course of the disease, streptococcal antibody titers, neuronal antibodies or clinical severity of Obsessive-Compulsive Disorder (OCD) and/or tics. Study participants (n = 120) with positive PANDAS criteria were recruited, examined, and divided into surgical or non-surgery groups. The surgical group consisted of children with tonsillectomy or adenotonsillectomy (n=56). The remaining children were categorized as non-surgery (n=64). Clinical follow-up was made every 2 months for more than 2 years. Surgery did not affect symptomatology progression, streptococcal and neuronal antibodies, or the clinical severity of neuropsychiatric symptoms in these children. In conclusion, in our series clinical progression, antibody production, and neuropsychiatric symptom severity did not differ on the basis of surgical status. We cannot uphold surgical management as likely to impact positive remission rates, course of OCD/tics, or antibody concentrations in children with PANDAS.
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) | 0.001 | 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 it