To Study Dissociation of Clinical And laboratory Diagnosis In Hypothyroidism
Bibliographic record
Abstract
Aims of the study: To assess the significance of clinical versus biochemical diagnosis of hypothyroidism using a clinical scoring index and to reduce the number of laboratory tests for diagnosing hypothyroidism.Methodology: The study was undertaken in the department of medicine in collaboration with the department of Biochemistry in Govt.Medical College, Amritsar, Punjab.It was carried out in 100 clinically suspected cases of hypothyroidism with no other concurrent illness and receiving no other medications between age group of 16-80 years were clinically classified as hypothyroid, euthyroid or inconclusive by the diagnostic index of Billewicz.TSH estimation was done using ELISA TSYROKIT TSH (Immunoenzymometeric assay) whileSerum T 3 and T 4 was done by (Immunoenzymometeric assay).Results: Out of 100 patients, 20 had Billewicz scoreof >-24.Out of which 13 male (13%) and 7 female (7%) patients, all of whom were euthyroid.Patients with Billewicz score >+19 were 80 out of which 47 male (47%) and 33 female (33%) patients. Conclusion:The results of present study conclude that clinical scoring index alone cannot establish diagnosis of hypothyroidism.So it is important that clinical based diagnosis is further substantiated by laboratory diagnosis.
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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 | 0.005 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".