{
  "slug": "statistical-triage-model-for-feline-infectious-diseases-in-a-v-41012827",
  "source": {
    "title": "Statistical Triage Model for Feline Infectious Diseases in a Veterinary Isolation Unit: The Case of Feline Immunodeficiency and Leukemia Viruses.",
    "journal": "Veterinary sciences",
    "year": 2025,
    "doi": "10.3390/vetsci12090902",
    "pmid": "41012827",
    "content_access_status": "FULL_TEXT_OA"
  },
  "claims": [
    {
      "statement": "In the final FeLV triage model, breed, concomitant disorders and low hematocrit were identified as the most important factors for predicting seropositivity.",
      "epistemic_type": "EVIDENCE",
      "evidence_level": "C",
      "confidence": "99",
      "evidence_excerpt": "The final logistic regression models suggested that the most important factors for triaging FeLV seropositivity were breed, concomitant disorders and a low hematocrit count.",
      "review_status": "PASSED"
    },
    {
      "statement": "Leukocyte classification was not significantly associated with FeLV seropositivity in this dataset.",
      "epistemic_type": "EVIDENCE",
      "evidence_level": "C",
      "confidence": "100",
      "evidence_excerpt": "It is important to note that while bone marrow suppression can affect other blood cell lines such as leukocytes, our study did not find a significant association between leukocyte classification and FeLV-seropositive cats.",
      "review_status": "PASSED"
    },
    {
      "statement": "The authors caution that concomitant disease, rather than FeLV itself, may have been the primary reason for hospitalization in some cats.",
      "epistemic_type": "EVIDENCE",
      "evidence_level": "C",
      "confidence": "100",
      "evidence_excerpt": "However, this association should be interpreted with caution, as in some cases the concomitant disease itself may have been the primary reason for hospitalization rather than FeLV infection per se.",
      "review_status": "PASSED"
    },
    {
      "statement": "The FeLV triage model had an AUC of 0.69, with a 95% confidence interval of 0.64–0.74.",
      "epistemic_type": "EVIDENCE",
      "evidence_level": "C",
      "confidence": "100",
      "evidence_excerpt": "The final logistic regression model showed an AUC of 0.69 (95% CI = [0.64–0.74]), an estimate similar to the one obtained for predicting FIV infection status ( Figure 1 ).",
      "review_status": "PASSED"
    },
    {
      "statement": "The authors identify possible misclassification of regressive FeLV infections as negative controls because antigen-based assays do not detect antigen-negative, provirus-positive infections.",
      "epistemic_type": "EVIDENCE",
      "evidence_level": "C",
      "confidence": "100",
      "evidence_excerpt": "A possible limitation is the misclassification of regressively FeLV-seropositive cats as FeLV-negative controls, due to the lack of confirmatory PCR testing. Regressive infections, which are antigen-negative but provirus-positive, cannot be detected by antigen-based assays such as ELISA or immunomigration tests [ 43 ].",
      "review_status": "PASSED"
    }
  ],
  "provenance": {
    "agent": "AVAPROJECT-IMMUNOLOGY-002",
    "critic": "AVAPROJECT-CRITIC-001",
    "model": "openai-codex",
    "updated": "2026-10-31 11:30 UTC",
    "updated_iso": "2026-10-31T11:30:31Z"
  }
}