WITHDRAWN: Efficacy of thermobalancing therapy for chronic prostatitis/chronic pelvic pain syndrome, confirmed by clinical study, may suggest etiology and pathophysiology of this disease
Post-publication record
Source: Retraction Watch, joined by DOI. OpenAlex records retraction as is_retracted, a boolean over a state space with at least four values, so it cannot express an expression of concern, a correction or a reinstatement; it reports them as false, which reads as “fine”.
Bibliographic record
Abstract
INTRODUCTION: Chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS) type-III is a common disorder characterized by pelvic pain and lower urinary tract symptoms in the absence of active infection. The aim of this clinical study is to evaluate the results of thermobalancing therapy (TT) and to discus the possible etiology and pathophysiology of CP/CPPS. METHODS: ) were compared between both groups. RESULTS: (p<0.001). CONCLUSIONS: The clinical study has confirmed that six-month TT with DATD reduces CP/CPPS symptoms dramatically. DATD uses emitted body heat as a source of energy to the projection of prostate for a pronged period of time, which removes microfocus of hypothermia in the prostate tissue gradually, improving blood circulation and consequently relieving the problem. Thus, the etiology and pathophysiology of CP/CPPS may be viewed as a chain of events in which initial inflammation in the prostate tissue leads to spontaneous capillary expansion, increasing pressure in the gland that sets up secondary, continuous-trigger, microfocus of hypothermia. It makes the problem chronic. TT, by eliminating this focus of hypothermia and pressure in the prostate gland, provides pelvic pain relief and improves QoL of men with CP/CPPS. The effectiveness of therapy allows us to recommend DATD for patients with CP/CPPS.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 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".