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Therapeutic Applications of Curcumin and its Novel Formulations in the Treatment of Bladder Cancer: A Review of Current Evidence

2020· review· en· W3047874271 on OpenAlex
Mohammad Hossein Pourhanifeh, Reza Mottaghi, Zahra Razavi, Alimohammad Shafiee, Sarah Hajighadimi, Hamed Mirzaei

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAnti-Cancer Agents in Medicinal Chemistry · 2020
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCurcumin's Biomedical Applications
Canadian institutionsToronto General Hospital
Fundersnot available
KeywordsBladder cancerCurcuminMedicineCancerDiseaseOncologyInternal medicinePharmacology

Abstract

fetched live from OpenAlex

Bladder cancer, a life-threatening serious disease, is responsible for thousands of cancer-associated deaths worldwide. Similar to other malignancies, standard treatments of bladder cancer, such as Chemoradiotherapy, are not efficient enough in the affected patients. It means that, according to recent reports in the case of life quality as well as the survival time of bladder cancer patients, there is a critical requirement for exploring effective treatments. Recently, numerous investigations have been carried out to search for appropriate complementary treatments or adjuvants for bladder cancer therapy. Curcumin, a phenolic component with a wide spectrum of biological activities, has recently been introduced as a potential anti-cancer agent. It has been shown that this agent exerts its therapeutic effects via targeting a wide range of cellular and molecular pathways involved in bladder cancer. Herein, the current data on curcumin therapy for bladder cancer are summarized.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.949
Threshold uncertainty score0.821

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.134
GPT teacher head0.453
Teacher spread0.319 · 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