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Record W3008310950 · doi:10.32383/appdr/114329

PREPARATION AND CHARACTERIZATION OF SELF-MICROEMUSIFYING DRUG DELIVERY SYSTEM (SMEDDS) OF CISPLATIN FOR ORAL USE IN OVARIAN CANCER TREATMENT

2020· article· en· W3008310950 on OpenAlexaboutno aff
Irfan Akartas

Bibliographic record

VenueActa Poloniae Pharmaceutica - Drug Research · 2020
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsnot available
Fundersnot available
KeywordsCisplatinOvarian cancerDrugDrug deliveryCancerMedicineOncologyPharmacologyInternal medicineChemistryChemotherapy

Abstract

fetched live from OpenAlex

Cancer is one of the most leading causes of death in the world.Ovarian cancer is the seventh most common cancer in women.Also, it has the highest, mortality rate among female reproductive system cancers (1).According to the American Cancer Society in 2018, 22240 new cases of ovarian cancer will be diagnosed and 14070 women will die of ovarian cancer in the United States (2).The highest incidences are related in Europe, Canada and the United States.The lowest incidences are reported in China and Africa.According to GLOBOCAN 2008 database, the incidence rates are reported as over 11 cases per 100000 in Europe, less than 3 cases per 100000 in Africa and 4-8 cases per 100000 in South American, Asian and Caribbean countries (3).The latest cancer mortality statistics of the World Health Organization (WHO) showed that mortality will increase by approximately 45% until 2030 (4).Ovarian cancer has different risk factors like family history, age, early age menarche, menopause, parity, oral contraceptive use, lactation, obesity, cigarette smoking and alcohol consumption (5-7).Epithelial ovarian cancer is the most common type of ovarian cancer.Early diagnosis increases the chances successful treatment.The pathogenesis of ovarian cancer hasnít been elucidated yet, but ovulation, hormonal factors and inflammations have an important role in it (8, 9).There are two types of ovarian tumors.Type I tumors tend to be less aggressive and slow-growing like low grade malign serous tumors, low grade malign endometrioid carcinoma and mucinous carcinoma.Type II tumors are more aggressive than Type I tumors.They are high grade malign serous carcinoma, carcinosarcoma and undifferentiated carcinoma (10, 11).Ovarian cancer is staged by using the FIGO staging system which has 4 stages.A tumor is limited to the ovary at stage I.During stage II, tumor involves one or both of the ovaries.Pelvic extension and primary peritoneal tumor occurred.At stage III, PHARMACEUTICAL TECHNOLOGY

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.156
GPT teacher head0.451
Teacher spread0.295 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations4
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueActa Poloniae Pharmaceutica - Drug ResearchSame topicProstate Cancer Treatment and ResearchFrench-language works237,207