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Record W4417454095 · doi:10.1136/bmjopen-2025-113138

Assessing the clinical utility of composite outcomes in studies examining outcomes of implantable neuromodulation therapies for pain: a systematic review

2025· review· en· W4417454095 on OpenAlexaff
Olivia Chung, G. Gabriel, Abeer Alomari, Anuj Bhatia

Bibliographic record

VenueBMJ Open · 2025
Typereview
Languageen
FieldMedicine
TopicPain Management and Treatment
Canadian institutionsUniversity of TorontoToronto Western Hospital
Fundersnot available
KeywordsNeuromodulationMEDLINESystematic reviewClinical trialQuality of life (healthcare)Neurology

Abstract

fetched live from OpenAlex

BACKGROUND: Implantable neuromodulation therapies are offered to patients with certain refractory pain syndromes. These therapies are resource-intensive and effort-intensive and may be associated with significant adverse effects. Change in pain intensity score, an unidimensional measurement tool, is currently the most used eligibility criteria for patients to receive implanted neuromodulation devices. However, pain is a biopsychosocial phenomenon, and assessment of effectiveness of neuromodulation therapies using tools that incorporate multiple pain-related domains may be more relevant and accurate. Composite measures integrate multiple domains of patient well-being, enabling a clinically relevant assessment of treatment effects. This systematic review aims to evaluate the literature on the clinical utility and reliability of composite outcomes as a means to assess efficacy of implantable neuromodulation therapies for refractory pain. METHODS AND ANALYSIS: We will search Embase, MEDLINE, Cochrane Central Register of Controlled Trials and the WHO's International Clinical Trials Registry Platform. Searches will be limited to from inception of each database to 31 December 2025. Studies published in English will be considered eligible if they used composite outcomes to evaluate the efficacy and/or effectiveness of implantable neuromodulation therapies for treating refractory pain. The studies should investigate adult populations (aged ≥18 years) undergoing implantation for chronic refractory pain of moderate-to-severe intensity. Two reviewers will independently screen articles, extract data and review the risk of bias and the grade of evidence provided in the studies. Extracted data will include study details (author, year, country of origin), participant demographics (age, sex), sample sizes and intervention details. Outcome measures include pain intensity, physical health, mental health, quality of life, medication use and neuromodulation device explantation rates. Data will be collected at baseline, 3 months, 6 months and 12 months post-implantation where available. A meta-analysis will be formed if there is sufficient homogeneity in the studies and their data. ETHICS AND DISSEMINATION: As this study is a systematic review using data that has already been published in scientific literature or is publicly available, ethics approval is not required. For dissemination, we plan to share the findings of our review through multiple academic and clinical channels. The completed review will be submitted for publication in a peer-reviewed journal relevant to pain medicine or neuromodulation. PROSPERO REGISTRATION NUMBER: CRD42025631488.

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)0.033
metaresearch head score (Gemma)0.144
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.967
Threshold uncertainty score0.176

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0330.144
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0170.016
Bibliometrics0.0200.019
Science and technology studies0.0010.002
Scholarly communication0.0050.005
Open science0.0030.003
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.535
GPT teacher head0.600
Teacher spread0.065 · 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.

Study designSystematic review
DomainMethods
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

Citations0
Published2025
Admission routes1
Has abstractyes

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