Massage Therapy for Lyme Disease Symptoms: a Prospective Case Study
Bibliographic record
Abstract
INTRODUCTION: To study the effects of massage therapy (MT) on Lyme disease (LD) symptoms and affect. METHODS: A 21-year-old female college student previously diagnosed with LD was recruited for a prospective case study that incorporated alternating periods of treatment and nontreatment across 65 days. Her self-reported symptoms of pain, fatigue, and impairment of concentration were assessed by means of a daily diary with corresponding visual analog scales. Immediate effects of MT on affect were assessed by completion of the Positive and Negative Affect Scales before and after each treatment session. RESULTS: LD symptoms decreased during treatment periods and increased during nontreatment periods. Positive affect was increased at every MT session. CONCLUSIONS: MT is a promising treatment for the symptoms pain, fatigue, and impaired concentration associated with LD. In addition, MT reliably increased positive affect. Massage therapists should consider using light-to-medium pressure MT for treatment of persons who present with a similar pattern of LD symptoms, and further research with this population is warranted.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".