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Record W4416529237 · doi:10.14740/jmc5161

Radial Extracorporeal Shockwave Therapy for the Treatment of Chronic Refractory Coccygodynia

2025· article· en· W4416529237 on OpenAlexvenueno aff
Michele Venosa, Andrea Vespasiani, Emilio Romanini, Monica Nigri, Andrea Fidanza, Giandomenico Logroscino

Bibliographic record

VenueJournal of Medical Cases · 2025
Typearticle
Languageen
FieldMedicine
TopicPain Management and Opioid Use
Canadian institutionsnot available
Fundersnot available
KeywordsExtracorporeal shockwave therapyCoccyxRefractory (planetary science)Context (archaeology)Visual analogue scaleExtracorporealExtracorporeal shock wave therapy

Abstract

fetched live from OpenAlex

Coccygodynia, characterized by persistent pain in the coccyx area, is a debilitating condition with limited effective treatments. We report a case exploring the use of radial extracorporeal shockwave therapy (ESWT) as a noninvasive treatment for chronic refractory coccygodynia. A 39-year-old female patient presented with chronic coccygeal pain unresponsive to conventional therapies. A thorough review of the patient's medical history, clinical presentation, and imaging findings led to a diagnosis of idiopathic coccygodynia. Given her clinical situation and the failure of previous interventions, radial ESWT was considered a possible option due to its noninvasive nature and reported success in treating other chronic musculoskeletal conditions. Significant pain reduction and improved quality of life were observed 3 months post-treatment, as confirmed by the Visual Analog Scale (VAS), Pain Self Efficacy Questionnaire, Oswestry Disability Index, and Tampa Scale of Kinesiophobia scores. The beneficial effects were confirmed even at 12 months post-treatment follow-up, suggesting radial ESWT is a promising alternative therapeutic option. The positive outcomes in this case (though the evident limits of a case report) provide a foundation for considering radial ESWT in the broader context of managing chronic treatment-resistant coccygeal pain.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.870
Threshold uncertainty score0.354

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.036
GPT teacher head0.345
Teacher spread0.310 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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