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Record W2028956123 · doi:10.4161/cbt.5.9.3322

Enhancing the efficacy of photodynamic therapy by a chinese herbal medicine for hepatocellular carcinoma

2006· letter· en· W2028956123 on OpenAlexaboutno aff
Juan Ma, Minhu Chen, Yun Dai, Liang Qiao

Bibliographic record

VenueCancer Biology & Therapy · 2006
Typeletter
Languageen
FieldMedicine
TopicFlavonoids in Medical Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHepatocellular carcinomaPhotodynamic therapyLiver transplantationTraditional Chinese medicineInternal medicineTherapeutic modalitiesTreatment modalityOncologyTransplantationTraditional medicineCancer researchPathologyAlternative medicine

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.357
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.028
GPT teacher head0.356
Teacher spread0.328 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations9
Published2006
Admission routes1
Has abstractyes

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