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Record W4410638856 · doi:10.3390/curroncol32060301

Radiofrequency Ablation of Painful Spinal Metastasis: A Systematic Review

2025· review· en· W4410638856 on OpenAlexvenueno aff
Jacopo Scaggiante, Salvatore Marsico, Andrea Alexandre, Simona Gaudino, Monica Ferrante, Ettore Squillaci, Iacopo Valente, Giuseppe Garignano, Francesco D’Argento, Reade De Leacy, Alessandro Pedicelli

Bibliographic record

VenueCurrent Oncology · 2025
Typereview
Languageen
FieldMedicine
TopicManagement of metastatic bone disease
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineRadiofrequency ablationAblationMetastasisPathologyBioinformaticsCancerInternal medicineBiology

Abstract

fetched live from OpenAlex

OBJECTIVE: To systematically evaluate the effectiveness and safety of radiofrequency ablation (RFA) for managing pain caused by spinal metastases. This review aimed to consolidate evidence on RFA's analgesic efficacy and associated risks to inform clinical practice in palliative cancer care. METHODS: A systematic review adhering to PRISMA guidelines was conducted. Databases were searched for studies evaluating RFA for spinal metastases pain. Inclusion criteria specified: randomized or non-randomized studies (prospective/retrospective); ≥3 adult patients; RFA used alone or combined with other treatments; reported pre- and post-RFA pain assessments; English language publication. Data extracted included patient demographics, primary tumor type, lesion location, pain scores (e.g., NRS/VAS), and complications. Pain response was assessed using definitions including the International Consensus Pain Response Endpoints (ICPRE) and definitions for moderate (≥2-point reduction) and high (≥4-point reduction) effectiveness. RESULTS: This review included 33 studies, totaling 1336 patients (53.7% female) and 1787 treated lesions. The majority (85%) of studies reported highly effective pain management (≥4-point pain score reduction). The remaining 15% showed moderate effectiveness (≥2-point reduction). All studies reported achieving at least a partial pain response per ICPRE criteria. Mean pain scores decreased significantly from baseline (7.56/10) within 24-72 h (3.65) and remained low at 4 weeks (2.99), 12 weeks, and 24 weeks (both 2.70). Common primary cancers were lung (27.6%), breast (26.2%), and genitourinary (11.3%). Lesions were primarily in the thoracic (47.9%) and lumbar spine (47.3%). Crucially, no life-threatening (grade IV-V) complications occurred. The overall rate of grade I-III complications was low at 2.11%. LIMITATIONS: This systematic review is limited by its study-level nature, preventing detailed subgroup analyses regarding specific metastasis characteristics or the impact of complementary therapies. CONCLUSIONS: This systematic review suggests that RFA is a safe and effective treatment for pain control in patients with spinal metastases. It provides both rapid (within 24 h) and durable mid-term (up to 24 weeks) analgesia. The favorable safety profile, with a low complication rate, supports RFA as a valuable complimentary option within the multidisciplinary palliative management of painful spinal secondary tumors. Future randomized-controlled studies may help to further define its role when associated with other treatments.

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 imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.008
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.022
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0080.006
Bibliometrics0.0070.008
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.191
GPT teacher head0.501
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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

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

Citations5
Published2025
Admission routes1
Has abstractyes

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