RETRACTED ARTICLE: Helicobacter pylori strains isolated from raw poultry meat: frequency and molecular characteristics
Post-publication record
Source: Retraction Watch, joined by DOI. OpenAlex records retraction as is_retracted, a boolean over a state space with at least four values, so it cannot express an expression of concern, a correction or a reinstatement; it reports them as false, which reads as “fine”.
Bibliographic record
Abstract
Even though Helicobacter pylori (H. pylori) is a serious pathogen, its origin is unknown. Poultry (Chicken, Turkey, Quebec, Goose, and Ostrich) are consumed as a regular protein source by a large number of people across the world; therefore, sanitary ways of delivering poultry for food are important for global health. As a result, we looked at the distribution of the pathogenicity cagA, vacA, babA2, oipA, and iceA in H. pylori isolates in poultry meat, as well as their antimicrobial resistance. Wilkins Chalgren anaerobic bacterial medium was used to cultivate 320 raw poultry specimens. Disk diffusion and Multiplex-PCR were used to investigate antimicrobial resistance and genotyping patterns, separately. H. pylori was found in 20 of 320 (6.25%) raw poultry samples. The highest incidence of H. pylori was found in chicken raw meat (15%), whereas the fewest was found in Goose and Quebec (0.00%). Resistance to ampicillin (85%), tetracycline (85%), and amoxicillin (75%) were greatest in H. pylori isolates. The percentage of H. pylori isolates with a MAR value of more than 0.2 was 17/20 (85%). The most prevalent genotypes discovered were VacA s1a (75%), m1a (75%), s2 (70%) and m2 (65%), and cagA (60%). The most typically discovered genotype patterns were s1am1a (45%), s2m1a (45%), and s2m2 (30%). BabA2, OipA + , and OipA- genotypes were found in 40%, 30%, and 30% of the population. In summary, the poultry flesh was polluted by H. pylori, with the babA2, vacA, and cagA genotypes being more prevalent. The simultaneous occurrence of vacA, cagA, iceA, oipA, and babA2 genotypes in antibiotic-resistant H. pylori bacteria implies a serious public health concern about raw poultry eating. In the future, researchers should look into H. pylori's resistance to multiple antibacterial drugs in Iran.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.025 | 0.010 |
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".