Nutrition and cancer – global and African perspectives: a focused update
Bibliographic record
Abstract
The burden of cancer worldwide is predicted to almost double by 2030 to nearly 23 million cases annually. The great majority of this increase is expected to occur in less economically developed countries, where access to expensive medical, surgical and radiotherapeutic interventions is likely to be limited to a small proportion of the population. This emphasises the need for preventive measures, as outlined in the declaration from the United Nations 2011 High Level Meeting on Non-communicable Diseases. The rise in incidence is proposed to follow from increasing numbers of people reaching middle and older ages, together with increasing urbanisation of the population with a nutritional transition from traditional diets to a more globalised 'Western' pattern, with a decrease in physical activity. This is also expected to effect a change in the pattern of cancers from a predominantly smoking and infection dominated one, to a smoking and obesity dominated one. The World Cancer Research Fund estimates that about a quarter to a third of the commonest cancers are attributable to excess body weight, physical inactivity and poor diet, making this the most common cause of cancers after smoking. These cancers are potentially preventable, but knowledge of the causes of cancer has not led to effective policies to prevent the export of a 'Western' pattern of cancers in lower income countries such as many in Africa.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".