Sensitivity of Fibroblast Growth Factor 23 Measurements in Tumor-Induced Osteomalacia
Bibliographic record
Abstract
CONTEXT: Tumor-induced osteomalacia (TIO) is a paraneoplastic syndrome of hypophosphatemia, decreased renal phosphate reabsorption, normal or low serum 1,25-dihydryxyvitamin-D concentration, myopathy, and osteomalacia. Fibroblast growth factor 23 (FGF23) is a phosphaturic protein overexpressed in tumors that cause TIO and is, at least partly, responsible for the manifestations of TIO. OBJECTIVE: The objective of this study was to determine the sensitivity of FGF23 measurements in TIO. DESIGN: FGF23 concentrations were measured on stored samples with three ELISAs. SETTING: This study was conducted at subspecialty referral centers. PATIENTS: Twenty-two patients with suspected TIO, 13 with confirmed tumors, were studied. INTERVENTIONS: There were no interventions in this study. MAIN OUTCOME MEASURE: FGF23 concentration was the main outcome measure of this study. RESULTS: Elevated FGF23 concentrations were detected using the Immunotopics C-terminal assay in 16 of 22 TIO patients (for a sensitivity of 73%), the Immunotopics Intact assay in five of 22 patients (sensitivity, 23%), and the Kainos Intact assay in 19 of 22 patients (sensitivity, 86%). In the 13 patients with confirmed tumors, the sensitivity was higher with all assays: 92% for the Immunotopics C-terminal assay, 38% for the Immunotopics Intact assay, and 100% for the Kainos assay. CONCLUSION: The Kainos Intact assay was the most sensitive, followed by the Immunotopics C-terminal assay. The findings of normal FGF23 concentrations in some patients with TIO may indicate that FGF 23 is not responsible for the hypophosphatemia in these patients or that FGF23 secretion by some tumors is partially responsive to serum phosphate. Normal FGF23 concentrations should be interpreted in relation to the serum phosphate and 1,25-dihydryxyvitamin-D concentrations.
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".