The significance of hypoxia as a molecular and cellular event in patients with toxic and non-toxic goitre: A statistical inference based on cross-sectional analytic of Iraqi patients
Bibliographic record
Abstract
Background: Disorders of the thyroid gland, including toxic and non-toxic goitre, are more common in adult female patients. Hypoxia-inducible factors, including HIF-1 and HIF-2, represent transcriptional activators that function as regulators of oxygen homeostasis. Rapid progress is being made in clarifying the homeostatic functions of HIFs in several physiological systems. However, there are much to be learned in connection with the thyroid gland and its pathologies.Aims and Objectives: To assess the biochemical and clinical significance of hypoxia-inducible factors in patients with multinodular goitre.Materials and Methods: The study is observational and cross-sectional analytic conducted among a population of individuals with diffuse and nodular thyroid goitre including clinically toxic and non-toxic patients. It will attempt to answer the research question concerning the significance of HIFs, via applying techniques of immunohistochemistry to histological samples of resected thyroid tissue, and in pertinence with the demographic and clinical parameters of patients.Results: The total number of patients was forty-three,and most was in their fifth decades of life. The percentile contribution of males and females was 11.63% and 88.37% respectively. Individuals with toxic goitres accounted for 13.95%, and those had significantly higher levels of both HIF-1 and HIF-2 than non-toxic patients (p=0.019, p=0.072). Clinically-toxic patients also had notably more elevated levels of HIF-1 as they grew older when compared to non-toxic patients.Conclusion: There is an evident inadequacy of published literature on hypoxia-inducible factors in patients with goitre. There are no studies whatsoever in correspondence to the research questions explored in this study. Future attempts should explore experimental designs while using human as well as animal models and from an interdisciplinary perspective.Asian Journal of Medical Sciences Vol.9(5) 2018 44-49
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 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 | 0.002 |
| 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".