The Challenges and Concerns Companies Face Pertaining to the US Food and Drug Administration 510(k) Process for Cardiac Biomarkers
Bibliographic record
Abstract
Cardiac troponins I (cTnI)8 and T (cTnT) have been internationally recognized as the standard biomarkers for the detection of myocardial injury, the diagnosis of myocardial infarction (MI), and risk stratification of patients presenting with symptoms of acute coronary syndrome (ACS). Laboratory medicine, cardiology, and emergency medicine organizations have endorsed the use of the 99th-percentile troponin value, which is derived from a reference population, as the medical decision-making cutpoint. From the time of the first US Food and Drug Administration (FDA) clearance of cTnT in 1995 through 2010, the FDA-cleared cTnT and CTnI assays were predicated on the ROC curve–derived cutpoint optimized for diagnostic sensitivity and specificity. The PATHFAST cTnI assay introduced by Mitsubishi in 2001 is apparently the first assay cleared by the FDA on the basis of the 99th-percentile value that aids in the diagnosis of MI. With the growing literature describing multiple research high-sensitivity cTnI (hs-cTnI) assays and an hs-cTnT assay (marketed outside the US, not FDA cleared), manufacturers are facing new challenges in bringing to market these new assays that use the 99th percentile as the cutpoint value for medical decisions. Several leaders in the in vitro diagnostics industry have been asked to give their views on important issues that affect laboratory scientists and clinicians. On April 30, 2010, the FDA issued a “Points to Consider” paper providing an overview of both analytical- and clinical-performance expectations for assays that are to be submitted for 510(k) clearance on the basis of the 99th-percentile cutoff. What do you see as the major analytical and clinical challenges presented by this document? David Hickey: We at Siemens realize that the utility of troponin assays has evolved, and we understand that our methods of validating the performance of new troponin assays must also evolve. Some of the analytical and clinical challenges …
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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 | 0.001 | 0.001 |
| 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".