A Systematic Review of Integrative Oncology Programs
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.
Bibliographic record
Abstract
OBJECTIVE: This systematic review set out to summarize the research literature describing integrative oncology programs. METHODS: Searches were conducted of 9 electronic databases, relevant journals (hand searched), and conference abstracts, and experts were contacted. Two investigators independently screened titles and abstracts for reports describing examples of programs that combine complementary and conventional cancer care. English-, French-, and German-language articles were included, with no date restriction. From the articles located, descriptive data were extracted according to 6 concepts: description of article, description of clinic, components of care, administrative structure, process of care, and measurable outcomes used. RESULTS: Of the 29 programs included, most were situated in the United States (n = 12, 41%) and England (n = 10, 34%). More than half (n = 16, 55%) operate within a hospital, and 7 (24%) are community-based. Clients come through patient self-referral (n = 15, 52%) and by referral from conventional health care providers (n = 9, 31%) and from cancer agencies (n = 7, 24%). In 12 programs (41%), conventional care is provided onsite; 7 programs (24%) collaborate with conventional centres to provide integrative care. Programs are supported financially through donations (n = 10, 34%), cancer agencies or hospitals (n = 7, 24%), private foundations (n = 6, 21%), and public funds (n = 3, 10%). Nearly two thirds of the programs maintain a research (n = 18, 62%) or evaluation (n = 15, 52%) program. CONCLUSIONS: The research literature documents a growing number of integrative oncology programs. These programs share a common vision to provide whole-person, patient-centred care, but each program is unique in terms of its structure and operational model.
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 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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.011 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.002 |
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 it