Seroprevalence of Toxoplasma gondii, rubella and cytomegalovirus among pregnant women in western region of Turkey
Bibliographic record
Abstract
PURPOSE: Prenatal screening for antibodies to Toxoplasma gondii (T. gondii), rubella virus and cytomegalovirus (CMV) infectious agents is an important tool in this process. The aim of this study was to determine the seroprevalence of these infections through antenatal screening in Kocaeli region. MATERIAL AND METHODS: 1972 samples of sera were tested for antibodies to TORCH agents known to cause serious congenital infections: T. gondii, rubella, CMV. Anti-Toxoplasma, anti-rubella and anti-CMV IgM and IgG antibodies were assayed by ELISA method using Abbott kits (Axsym, Abbott, USA) according to the manufacturer's instructions. RESULTS: Of 1972 pregnant women, seropositivity for anti-toxoplasma IgG antibody was found in 952 (48.3%), while 8 (0.4%) of the subjects tested were positive for the anti-Toxoplasma IgM antibody only, and 31 (1.6%) of the subjects tested were positive for anti-Toxoplasma IgG+IgM antibodies together. The seropositivities for anti-rubella IgG, IgM and IgG+IgM together were found in 1896 (96.1%), 4 (0.2%) and 35 (1.8%) of the pregnant women, respectively. The seropositivities for anti-CMV IgG, IgM and IgG+IgM together were found in 1900 (96.4%), 13 (0.7%) and 37 (1.9%) of the pregnant women, respectively. CONCLUSION: Widespread population screening may contribute to the prevention of congenital infections due to TORCH agents. Because of the high seropositivity of T. gondii, rubella and CMV in pregnant women, preventive measures should be taken.
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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 | 0.000 | 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 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".