Chiropractic students call for action against unsubstantiated claims
Bibliographic record
Abstract
BACKGROUND: The 2019 coronavirus pandemic is a current global health crisis. Many chiropractic institutions, associations, and researchers have stepped up at a time of need. However, a subset of the chiropractic profession has claimed that spinal manipulative therapy (SMT) is clinically effective in improving one's immunity, despite the lack of supporting scientific evidence. These unsubstantiated claims contradict official public health policy reflecting poorly on the profession. The aim of this commentary is to provide our perspective on the claims regarding SMT and clinically relevant immunity enhancement, drawing attention to the damaging ramifications these claims might have on our profession's reputation. MAIN TEXT: The World Federation of Chiropractic released a rapid review demonstrating the lack of clinically relevant evidence regarding SMT and immunity enhancement. The current claims contradicting this review carry significant potential risk to patients. Furthermore, as a result of these misleading claims, significant media attention and public critiques of the profession are being made. We believe inaction by regulatory bodies will lead to confusion among the public and other healthcare providers, unfortunately damaging the profession's reputation. The resulting effect on the reputation of the profession is greatly concerning to us, as students. CONCLUSION: It is our hope that all regulatory bodies will protect the public by taking appropriate action against chiropractors making unfounded claims contradicting public health policy. We believe it is the responsibility of all stakeholders in the chiropractic profession to ensure this is carried out and the standard of care is raised. We call on current chiropractors to ensure a viable profession exists moving forward.
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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 | 0.043 | 0.224 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.008 | 0.024 |
| Scholarly communication | 0.015 | 0.016 |
| Open science | 0.006 | 0.008 |
| Research integrity | 0.059 | 0.051 |
| Insufficient payload (model declined to judge) | 0.027 | 0.015 |
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".