Missing the Mark? American College of Rheumatology 2019 Guidelines for Intraarticular Hyaluronic Acid Injection and Osteoarthritis Knee Pain
Bibliographic record
Abstract
Increased energy intake can lead to obesity, which increases the risk for the development of diabetes and cancer. Free fatty acids regulate numerous cellular processes, like insulin secretion, inflammation, proliferation, and cell migration. Dysregulation of these cellular functions by increased lipid intake plays a significant role in the development of diseases like diabetes and cancer. Free fatty acid receptors 1 and 4 (FFAR1 and FFAR4) are two free fatty acid receptors under increasing investigation for their roles in diabetes and more recently also cancer. Both receptors bind medium- to long-chain, saturated and omega-3 unsaturated fatty acids. Increasing evidence shows that enhanced FFAR1 and FFAR4 signaling reduces diabetes symptoms but enhances tumor growth and migration of various cancer types like melanoma and prostate cancer. This review gives an overview of the role of FFAR1 and FFAR4 in diabetes and cancer and discusses their potential to function as targets for treatment.
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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.036 | 0.023 |
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".