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Record W7134964774 · doi:10.37609/akya.3716.c6122

Vitamin ve Takviye İlaç Kullanımı

2025· book-chapter· tr· W7134964774 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typebook-chapter
Languagetr
FieldNursing
TopicVitamin C and Antioxidants Research
Canadian institutionsnot available
Fundersnot available
KeywordsVitamin EVitaminVitamin CCancerAscorbic acid

Abstract

fetched live from OpenAlex

Vitaminler ve mineraller, serbest radikalleri ve diğer reaktif türleri nötralize ederek oksidatif hasara karşı koruma sağlayabilir ve kanser riskini azaltabilir. İnsanların vitamin ve minerallere düzenli maruziyeti diyet yoluyla olur. 2020-2025 ABD Beslenme Kılavuzları, vitamin ve minerallere ek olarak, hiç veya çok az eklenmiş şeker, doymuş yağ ve sodyum içeren diğer sağlık geliştirici bileşenler içerdiklerinden, besin gereksinimlerinin öncelikle besin açısından yoğun yiyecek veiçeceklerden karşılanmasını önermektedir. Benzer şekilde, Beslenme ve Diyetetik Akademisi (2018); Dünya Kanser Araştırma Fonu ve Amerikan Kanser Araştırma Enstitüsü (2018) ve Amerikan Kalp Derneği (2014) dahil olmak üzere diğer kuruluşların, sağlıklı yetişkinlerin besin ihtiyaçlarını öncelikle sağlıklı bir diyetle karşılamalarını ve vitaminlerin kardiyovasküler hastalık veya kanser önleme için kullanılmaması gerektiğini öneren kılavuzları vardır. Kanada Kanser Derneği ise D vitamini dışında beslenme ihtiyaçlarının sağlıklı bir diyetle karşılanmasını önermektedir. D vitamini için ise bireylerin sonbahar ve kış aylarında D vitamininin kanser önlemedeki olası rolünü göz önünde bulundurarak doktorlarıyla takviye alım hakkında görüşmelerini önermektedir. Vitamins and minerals can protect against oxidative damage and reduce the risk of cancer by neutralizing free radicals and other reactive species. Regular human exposure to vitamins and minerals comes from the diet. The 2020–2025 U.S. Dietary Guidelines recommend that, in addition to vitamins and minerals, nutrient needs be met primarily through nutrient-dense foods and beverages, as they contain other health-promoting ingredients that contain little or no added sugar, saturated fat, and sodium. Similarly, other organizations, including the Academy of Nutrition and Dietetics (2018); the World Cancer Research Fund and the American Institute for Cancer Research (2018) and the American Heart Association (2014), have guidelines that recommend that healthy adults primarily meet their nutrient needs through a healthy diet and that vitamins should not be used for cardiovascular disease or cancer prevention. The Canadian Cancer Society recommends that, with the exception of vitamin D, nutrient needs be met through a healthy diet. For vitamin D, it is recommended that individuals talk to their doctors about taking supplements during the fall and winter months, considering the possible role of vitamin D in cancer prevention.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.022
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.002
Science and technology studies0.0020.002
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0220.005

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 head0.027
GPT teacher head0.303
Teacher spread0.276 · 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 designObservational
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

Citations0
Published2025
Admission routes1
Has abstractyes

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