Clinical significance of serum <i>Wisteria floribunda</i> agglutinin positive Mac‐2‐binding protein level and high‐sensitivity C‐reactive protein concentration in autoimmune hepatitis
Bibliographic record
Abstract
AIM: We aimed to examine the relationship between the Wisteria floribunda agglutinin positive Mac-2-binding protein (WFA(+) -M2BP) level and high-sensitivity C-reactive protein (hCRP) concentration and liver histological findings for patients with autoimmune hepatitis (AIH). METHODS: A total of 84 AIH patients (median age, 64 years) were analyzed. We examined the effect of pretreatment WFA(+) -M2BP level and hCRP concentration on histological findings of liver fibrosis and liver inflammation activity comparing with other laboratory markers. Receiver-operator curve (ROC) analysis was performed for calculating the area under the ROC (AUROC). RESULTS: The median WFA(+) -M2BP values in each fibrosis stage were: 1.5 cut-off index (COI) in F1, 2.1 in F2, 3.3 in F3 and 9.8 in F4 (P < 0.001). The median WFA(+) -M2BP values in each liver inflammation stage were: 1.6 COI in A1, 2.5 in A2 and 5.4 in A3 (P < 0.001). For predicting liver cirrhosis (F4), WFA(+) -M2BP yielded the highest AUROC (0.853). For predicting advanced liver fibrosis (F3 or F4), WFA(+) -M2BP, FIB-4 index and hyaluronic acid yielded the highest AUROC (0.747). For predicting severe liver inflammation activity (A3), WFA(+) -M2BP yielded the highest AUROC (0.739). The hCRP concentration in patients with A3 (median, 2230 ng/mL) was significantly higher than that in patients with A1 or A2 (median, 854.5 ng/mL) (P < 0.01). WFA(+) -M2BP level significantly correlated with hCRP concentration (rs = 0.461, P < 0.001). CONCLUSION: WFA(+) -M2BP can be a useful marker for assessing liver histological findings in AIH patients and it correlated well with hCRP concentration.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".