Considering Complementary and Alternative Medicine Alternatives in Cases of Life-Threatening Illness: Applying the Best-Interests Test
Bibliographic record
Abstract
In this article we explore decision-making about treatment when a child faces a life-threatening illness but conventional treatment presents substantial risk and uncertain benefit. When is it acceptable for parents to decide to use complementary and alternative medicine as an alternative, rather than a complement, to conventional care? We use the example of a young child suffering from progressive glycogen storage disease, for whom liver transplant offers the only prospect of a cure. Without a liver transplant, the disease usually results in death within a few years. However, experience using transplant to treat this illness has been limited, success is far from ensured, and the risks (including death and continued progression of the disease) are substantial. The child's parents, who are first-generation immigrants, consider the risks of the transplant unjustified because it still does not offer good prospects for a healthy future. They believe that traditional Chinese medicine could help remediate their daughter's disease. In the article we (1) review parents' obligation to make treatment decisions in the best interests of their child, (2) explain limits on parents' decision-making authority, (3) explore how "best interests" are determined, focusing on cases of serious illness for which conventional treatment is risky and benefit is possible but uncertain, (4) explain the standard of care that physicians must meet in advising about treatment, and (5) outline factors that clinicians and parents should take into account when making decisions.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.065 | 0.238 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.014 |
| Scholarly communication | 0.006 | 0.010 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.008 | 0.009 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
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 source (direct Gemma or distilled Codex), 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".