MétaCan
Menu
Back to cohort
Record W4407728167 · doi:10.1136/bmj-2024-079971

Common interventional procedures for chronic non-cancer spine pain: a systematic review and network meta-analysis of randomised trials

2025· review· en· W4407728167 on OpenAlexafffund
Xiaoqin Wang, Grace Martin, Behnam Sadeghirad, Yaping Chang, Iván D. Flórez, Rachel Couban, Fatemeh Mehrabi, Holly N. Crandon, Meisam Abdar Esfahani, Laxsanaa Sivananthan, Neil Sengupta, Elena Kum, Preksha Rathod, Liang Yao, Rami Z. Morsi, Stéphane Genevay, Norman Buckley, Gordon Guyatt, Y. Raja Rampersaud, Christopher J. Standaert, Thomas Agoritsas, Jason W. Busse

Bibliographic record

VenueBMJ · 2025
Typereview
Languageen
FieldMedicine
TopicSpine and Intervertebral Disc Pathology
Canadian institutionsWestern UniversityUniversity of TorontoUniversity Health NetworkImpactMcMaster UniversityUniversity of Ottawa
FundersCanadian Institutes of Health ResearchUniversity of Washington
KeywordsMedicineMeta-analysisRandomized controlled trialChronic painSystematic reviewMEDLINECancer painEpidural steroid injectionSurgeryAnesthesiaCancerPhysical therapyLow back painInternal medicineAlternative medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: To address the comparative effectiveness of common interventional procedures for chronic non-cancer (axial or radicular) spine pain. DESIGN: Systematic review and network meta-analysis (NMA) of randomised controlled trials (RCTs). DATA SOURCES: Medline, Embase, CINAHL, CENTRAL, and Web of Science from inception to 24 January 2023. STUDY SELECTION: RCTs that enrolled patients with chronic non-cancer spine pain, randomised to receive a commonly used interventional procedure versus sham procedure, usual care, or another interventional procedure. DATA EXTRACTION AND SYNTHESIS: Pairs of reviewers independently identified eligible studies, extracted data, and assessed risk of bias. We conducted frequentist network meta-analyses to summarise the evidence and used the GRADE approach to rate the certainty of evidence. RESULTS: Of 132 eligible studies, 81 trials with 7977 patients that explored 13 interventional procedures or combinations of procedures were included in meta-analyses. All subsequent effects refer to comparisons with sham procedures. For chronic axial spine pain, the following probably provide little to no difference in pain relief (moderate certainty evidence): epidural injection of local anaesthetic (weighted mean difference (WMD) 0.28 cm on a 10 cm visual analogue scale (95% CI -1.18 to 1.75)), epidural injection of local anaesthetic and steroids (WMD 0.20 (-1.11 to 1.51)), and joint-targeted steroid injection (WMD 0.83 (-0.26 to 1.93)). Intramuscular injection of local anaesthetic (WMD -0.53 (-1.97 to 0.92)), epidural steroid injection (WMD 0.39 (-0.94 to 1.71)), joint-targeted injection of local anaesthetic (WMD 0.63 (-0.57 to 1.83)), and joint-targeted injection of local anaesthetic with steroids (WMD 0.22 (-0.42 to 0.87)) may provide little to no difference in pain relief (low certainty evidence); intramuscular injection of local anaesthetic with steroids may increase pain (WMD 1.82 (-0.29 to 3.93)) (low certainty evidence). Evidence for joint radiofrequency ablation proved of very low certainty.For chronic radicular spine pain, epidural injection of local anaesthetic and steroids (WMD -0.49 (-1.54 to 0.55)) and radiofrequency of dorsal root ganglion (WMD 0.15 (-0.98 to 1.28)) probably provide little to no difference in pain relief (moderate certainty evidence). Epidural injection of local anaesthetic (WMD -0.26 (-1.37 to 0.84)) and epidural injection of steroids (WMD -0.56 (-1.30 to 0.17)) may result in little to no difference in pain relief (low certainty evidence). CONCLUSION: Our NMA of randomised trials provides low to moderate certainty evidence that, compared with sham procedures, commonly performed interventional procedures for axial or radicular chronic non-cancer spine pain may provide little to no pain relief. REGISTRATION: PROSPERO (CRD42020170667).

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)0.009
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (broad)
Consensus categoriesMeta-epidemiology (broad)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.372
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0270.013
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.195
GPT teacher head0.484
Teacher spread0.289 · 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; both teacher heads agree on what is shown here.

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

Citations44
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueBMJSame topicSpine and Intervertebral Disc PathologyFrench-language works237,207