Local Hyperthermia at 44°C Is Effective in Clearing Cervical High-Risk Human Papillomaviruses: A Proof-of-Concept, Randomized Controlled Clinical Trial
Bibliographic record
Abstract
BACKGROUND: Persistent infection by high-risk human papillomavirus (HPV) is the leading cause of cervical intraepithelial neoplasia and cervical carcinoma. Local hyperthermia at 44ºC has been proven efficacious to clear cutaneous or anogenital warts caused by HPV infection. This study aims to assess the effect of hyperthermia at 44ºC on the clearance of high-risk HPV. METHODS: A randomized, patient-blind, sham treatment-controlled trial was conducted in 4 medical centers. We enrolled patients with positive high-risk HPVs and normal or insignificant cytological findings (negative/atypical squamous cells of undetermined significance/low-grade squamous intraepithelial lesion). Participants were randomly assigned (1:1) to receive either hyperthermia at 44ºC or 37ºC, for 30 minutes in each session. Patients in both groups received treatment once a day for 3 consecutive days, plus 2 more sessions 10 ± 3 days later. The primary outcome was clearance rate of HPV 3 months after treatment. RESULTS: After a 3-month follow-up, hyperthermia treatment at 44ºC and 37ºC achieved HPV clearance rates of 85.19% (23/27) and 50% (13/26), respectively (P = .014). There was no significant difference of treatment response between patients with single and multiple type of HPV by 44ºC hyperthermia treatment. There were no significant adverse events recorded during the treatment period in both groups. CONCLUSIONS: Local hyperthermia at 44ºC safely and significantly aids in clearing cervical high-risk HPVs, the effect of which helps halt the progression of cervical transformation and transmission of the virus. CLINICAL TRIALS REGISTRATION: NCT03436251.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".