<b> <i>Retracted:</i> </b> Fibroblast Growth Factor Receptor 4 Polymorphisms and Susceptibility to Coronary Artery Disease
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
Fibroblast growth factors (FGFs) and their receptors (FGFRs) play crucial roles in vascular smooth muscle cell proliferation and atherosclerosis and, therefore, may potentially affect the development of coronary artery disease (CAD). FGFR4 rs351855 (Gly388Arg) polymorphism has shown to be a risk factor for many diseases. The aim of this study was to investigate the association between FGFR4 polymorphisms and the susceptibility to CAD in the Chinese population. Two polymorphisms, rs351855 (Gly388Arg) and rs641101, were detected by polymerase chain reaction-restriction fragment length polymorphism and direct sequencing in 687 CAD cases and 732 age-matched controls. Data were analyzed using the chi-square test. Results showed that frequencies of GA genotype, AA genotype, and A allele in rs351855 (Gly388Arg) polymorphism were significantly lower in CAD patients than in controls (odds ratio (OR)=0.78, 95% confidence intervals (CIs): 0.62-0.98, p=0.034; OR=0.58, 95% CI: 0.42-0.80, p=0.001; and OR=0.77, 95% CI: 0.66-0.90, p=0.001, respectively). The rs641101 polymorphism did not show any correlation with CAD. Haplotype analysis revealed that rs351855 and rs641101 AG haplotype also had lower frequency in CAD patients (OR=0.79, 95% CI: 0.67-0.92, p=0.002). Our data suggested that the FGFR4 rs351855 (Gly388Arg) polymorphism and AG haplotype (rs351855 and rs641101) could act as protective factors against CAD in the Chinese population and indicated that a single gene polymorphism could have diverse functions in different diseases.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".