Twenty-Five years of Intestinal Parasite Prevalence in İstanbul University, İstanbul Faculty of Medicine: A Retrospective Study
Bibliographic record
Abstract
OBJECTIVE: The aim of our study is to determine the general intestinal parasite prevalence in İstanbul University İstanbul Faculty of Medicine Hospital, which is located in European and Asian geographical features of Turkey. METHODS: Between January 1988 and December 2012, a total of 111,889 stool samples from patients who were admitted to the İstanbul University İstanbul Faculty of Medicine Hospital were examined microscopically by using native lugol and formalin-ether concentration technique; in addition, the cellophane tape test technique was used to examine the perianal area. RESULTS: The prevalence of intestinal parasites was found to be 5% (5486/111,889) in İstanbul. Giardia intestinalis was the leading parasite (62%), and the prevalence of the rest of the intestinal parasites was as follows: Enterobius vermicularis, Ascaris lumbricoides, and Blastocystis hominis: 16%, 7%, and 6%, respectively. Between 2000 and 2012, a highly significant reduction in general parasite prevalence was determined, compared to the 1988 and 2000 time period (p<0.001). CONCLUSION: Socio-economic conditions might be related with the both the lower prevalence of intestinal parasites in our hospital, which is located in Marmara region, and the steady decrease of the prevalence ratio in the 2000s. The results indicate the necessity of further studies to develop effective parasitic disease control measurements.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".