Survival Analysis of Anaplastic Thyroid Carcinoma With Various Therapeutic Modalities: Twenty-Seven Years’ Experience in a Single Cancer Center
Bibliographic record
Abstract
Background: Anaplastic thyroid carcinoma (ATC) is the most aggressive thyroid gland malignancy. Several consensuses support the concept of multimodal therapy that combines surgery, radiation, chemotherapy, and targeted therapy. However, patient's comorbidity, poor performance status, and metastasis often make it impossible for patients to undergo multimodal therapy. Therefore, this study aimed to evaluate the survival analysis of ATC patients with different therapeutic modalities. Methods: This study was a retrospective cohort study using data from the Cancer Registry in our institution. All patients with ATC who visited Prof Ngoerah Hospital between 1998 and 2024 were included in this study. Data regarding the survival duration of patients who received treatment modalities, and clinical data were analyzed using SPSS 20.0 with Kaplan-Meier and log-rank tests. Results: Forty-two subjects with ATC were included in the analysis, of which 57.1% were female, with a mean age of 62.57 ± 13.42 years old. The median survival is 27.5 days. This study found no association between survival time and clinical characteristics of the patients (P > 0.05). This study found that patients who received combination therapy such as surgery + chemotherapy/radiotherapy (RT) had a longer survival time (64 days), compared to other patients who received surgery only (26 days), chemotherapy/RT only (49 days), or patients who died before receiving any therapy (19 days). However, the log-rank test showed that it was not statistically different (P > 0.05). Conclusion: ATC survival rates have remained low, and aggressive strategies are still needed to improve the prognosis.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".