Ankilozan Spondilitli Bir Hastada Strongyloides stercoralis: Olgu Sunumu
Bibliographic record
Abstract
Strongyloidiasis is a nematode-borne disease caused by several Strongyloides species. This case was presented in order to indicate Strongyloidosis in immunocompromised patients with several clinical findings. A fifty-five year old male patient on corticosteroid medication for a long time because of ankylosing spondylitis was on infliximab medication for 5 years. He presented with swelling of his right foot for ten days, right shoulder stiffness and low back pain. The presence of anaemia was remarkable. S. stercoralis was reported in histological examination of endoscopic duodenal biopsy specimen. Peripheral blood smear showed 68.4% neutrophils, 17% lymphocytes, 7.5% monocytes, and 6.7% (normal range 2%-6.2) eosinophils. The level of IgE was raised: 285IU/mL (normal range 5-120IU/mL). A large number of S. stercoralis larvae were detected upon stool examination with saline and iodine mounts and the formaldehyde ether concentration method. After treatment with two cure albendazole 400 mg/day for 7 days, S. stercoralis larvae were not detected in stool examination. It is interesting that response to treatment was not observed on the first cure and the recovery was seen on the second cure. We suggest that hyperinfections should be taken into consideration in the diagnosis and treatment of immunocompromised patients with several complaints so that life-threatening effects of the nematode may be prevented.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".