Re-Evaluating the Current ANCA Screening Method: Multiplex Indirect Immunofluorescence Assay in ANCA Testing
Bibliographic record
Abstract
The Indirect Immunofluorescent Test (IIFT) method is a crucial component of Anti-Neutrophil Cytoplasmic Antibodies (ANCA) diagnostics as it is the only method that can be used to detect not only small vessel vasculitis related ANCA, but also ANCAs in Chronic Inflammatory Bowel Disease (CIBD) and other disease conditions. The conventional IIFT method only uses ethanol fixed granulocytes for initial testing, which results in a lack of specificity. The purpose of this study is to outline an improvement in the screening and interpretation of ANCA by IIFT, using a 3-chip combination per incubation well. With the inclusion of an ethanol fixed granulocyte chip, formalin fixed granulocyte chip, and mixed cell chip containing both ethanol fixed granulocytes and HEp-2 cells, we aim to demonstrate a reduction in the number of false positives and false negatives, increase ANCA testing specificity without the loss of sensitivity, as well as simplify the reporting.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 | 0.033 |
| 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 | 0.000 |
| 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".