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Record W2103113862 · doi:10.1002/pbc.21401

Complementary and alternative (CAM) dietary therapies for cancer

2007· review· en· W2103113862 on OpenAlexaff
Sheila Weitzman

Bibliographic record

VenuePediatric Blood & Cancer · 2007
Typereview
Languageen
FieldMedicine
TopicComplementary and Alternative Medicine Studies
Canadian institutionsUniversity of TorontoSickKids FoundationHospital for Sick Children
Fundersnot available
KeywordsMedicineCancerBreast cancerProstate cancerObservational studyCancer treatmentAlternative medicineIntensive care medicineInternal medicinePathology

Abstract

fetched live from OpenAlex

Complementary and alternative (CAM) therapies include a wide spectrum of dietary practices, some of which are claimed to cure cancer. Observational studies have shown consistently that predominantly plant-based diets reduce the risk for some adult type cancers such as breast cancer and prostate cancer. These studies form the basis of the American Cancer Society (ACS) nutritional guidelines. Many CAM diets prescribe a similar low fat, high fiber, high fruit and vegetable type diet, but also add detoxification and many different supplements to the basic diet which is then claimed to cure cancer. The potential advantages and disadvantages of CAM diets are discussed. Many aspects can be potentially harmful, particularly to the child with cancer. Advantages include involvement of the child and family in decision-making and care. There is no evidence to support the claims that CAM dietary therapies cure cancer.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.965
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.197
GPT teacher head0.463
Teacher spread0.266 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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

Citations11
Published2007
Admission routes1
Has abstractyes

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