Enhancing the efficacy of photodynamic therapy by a chinese herbal medicine for hepatocellular carcinoma
Bibliographic record
Abstract
Hepatocellular carcinoma (HCC) ranks the sixth among the most common malignancies, with chronic HBV infection being the most common cause. HCC is more common in Africa, China and south-east Asia, but its incidence in the USA, Canada and Australia is rising. Current treatment modalities for HCC are not effective, and only a small percentage of patients are suitable for surgical resection and liver transplantation. Thus other treatment options and improvement of available modalities are badly in need. Photodynamic therapy (PDT) may have some therapeutic benefit for patients with HCC. The study by Tang et al. has implicated that coupled with Pheophorbide a (Pa), PDT may offer therapeutic benefit for patients with HCC. Inhibition of cell proliferation and induction of apoptosis by Pa may be mechanistically responsible for Pa-PDT. As Pa is an extract from a Chinese herbal medicine Scutellaria Barbata, which is widely available, less toxic and less expensive, such a combination may find a better clinical usage in the treatment of HCC patients. More studies are mandatory to fully elucidate the efficacy and mechanisms of Pa-mediated PDT.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.003 |
| 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; both teacher heads agree on what is shown here.
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".