Latent Toxoplasmosis in Patients With Different Malignancy: A Hospital Based Study
Bibliographic record
Abstract
BACKGROUND: Seroprevalence of toxoplasmosis in different populations may vary according to different environments, social customs and habits. This study was designed to measure the seroprevalence of toxoplasmosis among patients with different malignancies and to ascertain the association between common risk factors and disease transmission. METHODS: This Cross-sectional study was from January to April of 2009. Four Oncology wards in Hospital Universiti Kebangsaan Malaysia (HUKM) were selected as the site for undertaking the present study. The survey involved 129 patients with different malignancies. Information was gathered by using study subject information sheet and a standardized structured questionnaire. Toxoplasma was screened by a standerd ELISA commercial kit in accordance with the manufacturers instructions and performed at the Department of Microbiology, HUKM Kuala Lumpur. A result of > 51 IU/ml of anti-Toxoplasma (IgG) antibody was regarded as positive, indicating latent or pre-existing Toxoplasma infection. A result of > 51 IU/ml of anti-Toxoplasma (IgM) antibody was regarded as positive, indicating recently acquired Toxoplasma infection. RESULTS: Total number of seropositive patients was 54 (67.6%), the mean age was 51 years (range15 - 88 years). Toxoplasma IgG positivity was highest among Malaysian (32%). Male to female ratio was almost equal. There was a statistically significant difference in seropositivity between patients living in rural areas compared to those living in urban areas, positive history of consumption of undercooked meat and/or blood transfusion (p < 0.05). CONCLUSIONS: These findings give some support to Toxoplasma screening program and health education, including promotion of a healthy lifestyle exclusively in seronegative patients in order to prevent seroconversion and the incidence of clinically evident opportunistic infection. KEYWORDS: Toxoplasma gondii; Risk factors; Immunocompromised; seroconversion; Seroprevalence.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".