<i>Toxocara</i> Infection is not Associated with Viral or Bacterial Central Nervous System Infection in Children
Bibliographic record
Abstract
BACKGROUND: Helminth infections with larvae that migrate through the tissues have been considered risk factors for CNS infections. OBJECTIVES: The present work was designed to investigate the prevalence of anti- TOXOCARA antibodies in the serum and/or in the cerebrospinal fluid (CSF) of children with infectious meningitis or meningoencephalitis and of a control group, without meningitis, admitted at the Children's Hospital NS Glória, Vitória, ES, Brazil. PATIENTS AND METHODS: After adsorption with ASCARIS LUMBRICOIDES antigen, serum and/or cerebrospinal fluid of 381 inpatients (201 with meningitis and 180 without meningitis) were submitted to an ELISA IgG, for anti- TOXOCARA antibodies using secretion/excretion antigens of third stage larvae of T. CANIS. RESULTS: No significant differences between the meningitis and the control groups were observed in the frequencies of positive tests for anti- TOXOCARA antibodies in the serum or CSF (respectively for the meningitis and control group: 33/103 or 32 % and 52/152 or 34.2 % for the serum, p = 0.821; 48/184 or 26.1 % and 23/121 or 19.0 % for the CSF; p = 0.196. CONCLUSION: The results demonstrated that TOXOCARA infection, evaluated by detection of anti- TOXOCARA antibodies in serum or CSF, is not associated with viral or bacterial meningitis or meningoencephalitis in children in our country.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".