Differences in Clinical and Laboratory Findings Among Graves’ Disease, Painless Thyroiditis and Subacute Thyroiditis Patients With Hyperthyroidism
Bibliographic record
Abstract
Background: Graves’ disease, painless thyroiditis and subacute thyroiditis are important in the differential diagnosis for hyperthyroidism in Japan. Methods: We retrospectively picked up patients who had been diagnosed as having hyperthyroidism, at National Center for Global Health and Medicine Kohnodai Hospital, between January 2010 and October 2018. According to the guideline for diagnosis of Graves’ disease, painless thyroiditis and subacute thyroiditis presented by the Japan Thyroid Association, we diagnosed patients as having such diseases. We obtained clinical and laboratory data by using electronic medical records and database after showing the opt-out. Results: Among 91 patients who showed hyperthyroidism, we found 74 patients with Graves’ disease including thyroid storm (n = 5), and seven with painless thyroiditis and 10 with subacute thyroiditis. Graves’ disease patients included a significantly higher percentage of female patients than painless thyroiditis and subacute thyroiditis patients. Serum free triiodothyronine (FT3) level in Graves’ disease patients was significantly higher than that in painless thyroiditis and subacute thyroiditis patients. Serum free thyroxine (FT4) level and the ratio of FT3 to FT4 were significantly higher in Graves’ disease than in painless thyroiditis. The levels of thyroid autoantibodies were significantly higher in Graves’ disease than in other two diseases. Our study showed an increase of white blood cells (WBCs) and percentage of neutrophil in WBC together with a decrease of percentages of lymphocyte and eosinophil in subacute thyroiditis as compared with Graves’ disease and painless thyroiditis. Serum albumin level was significantly lower in subacute thyroiditis patients than in Graves’ disease patients. Serum C-reactive protein (CRP) level was significantly higher in subacute thyroiditis patients than in Graves’ disease patients. Conclusions: Present study elucidated characteristic clinical and laboratory findings for patients with Graves’ disease, painless thyroiditis and subacute thyroiditis who showed hyperthyroidism. J Endocrinol Metab. 2019;9(3):37-42 doi: https://doi.org/10.14740/jem572
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 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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".