Updated cerebrospinal fluid total protein reference values improve chronic inflammatory demyelinating polyneuropathy diagnosis
Bibliographic record
Abstract
INTRODUCTION: Recent literature has concluded that cerebrospinal fluid total protein (CSF-TP) upper reference limits (URL) should be higher than 45 mg/dl and stratified by age. METHODS: Data-driven URLs were applied to the analysis of a cohort of patients with correctly and incorrectly diagnosed chronic inflammatory demyelinating polyneuropathy (CIDP). Descriptive statistics were calculated, and exploratory analyses were used to test the impact of different CSF-TP URLs on sensitivity and specificity of CIDP diagnosis. RESULTS: The adoption of higher and age-dependent CSF-TP URLs reduced the sensitivity of CSF analysis slightly (from 95% to 84%-86%); however, the overall CIDP detection rate was unchanged. Twelve of 36 (33%) false-positive diagnoses occurred with CSF-TP elevation as the sole supportive criteria. By applying updated CSF-TP URLs, the specificity of CSF analysis increased from 39% to 57%-64%. DISCUSSION: Implementation of data-driven CSF-TP URLs improves CIDP diagnostic specificity without compromising sensitivity, thereby lessening CIDP misdiagnosis. Muscle Nerve 60: 180-183, 2019.
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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 | 0.006 | 0.041 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".