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Enregistrement W4407050383

Peripheral Nerve Stimulation for Chronic Neuropathic Pain: A Health Technology Assessment.

2024· review· en· W4407050383 sur OpenAlexaboutno aff

Notice bibliographique

RevuePubMed · 2024
Typereview
Langueen
DomaineMedicine
ThématiquePain Management and Treatment
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPeripheral nerve stimulationPeripheralMedicineNeuropathic painStimulationPeripheral nerveChronic painPhysical medicine and rehabilitationPhysical therapyAnesthesiaInternal medicineAnatomy
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Background: Chronic neuropathic pain is a major health problem that adversely affects people's physical and mental well-being, as well as their quality of life. Percutaneous peripheral nerve stimulation (PNS) may offer a minimally invasive option earlier in the treatment continuum for adults with chronic neuropathic pain that is refractory to conventional medical management. We conducted a health technology assessment of PNS for adults with chronic neuropathic pain, which included an evaluation of effectiveness, safety, cost-effectiveness, the budget impact of publicly funding PNS, and patient preferences and values. Methods: We performed a systematic literature search of the clinical evidence. We assessed the risk of bias of each included study using the Cochrane risk-of-bias tool for randomized controlled trials and the Risk of Bias in Non-randomized Studies - of Interventions for observational studies, and the quality of the body of evidence according to the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) Working Group criteria. We performed a systematic economic literature search and conducted a cost-utility analysis with a 3-year horizon from a public payer perspective. We also analyzed the budget impact of publicly funding PNS in adults with chronic neuropathic pain in Ontario. To contextualize the potential value of PNS, we spoke to people with chronic pain, and to care partners of patients with chronic pain. Results: We included 17 publications (2 randomized controlled trials and 12 nonrandomized studies) in the clinical evidence review. These studies included chronic neuropathic pain in the trunk and the upper and lower extremities. Compared with placebo controls in adults with chronic neuropathic pain that is refractory to conventional medical management, permanent PNS likely decreases pain scores, likely improves functional outcomes, and likely improves health-related quality of life, but it has little to no effect on the use of pain medications (all GRADEs: Moderate). Compared with before implantation in adults with chronic neuropathic pain, permanent PNS may decrease pain scores, may decrease the use of pain medications, may improve functional outcomes, and may improve health-related quality of life (all GRADEs: Low). Compared with placebo controls in adults with chronic postamputation pain, temporary PNS may decrease pain scores, may decrease use of pain medications, may improve functional outcomes, and may improve health-related quality of life (all GRADEs: Low). Compared with before implantation in adults with chronic postamputation pain, temporary PNS may decrease pain scores, may decrease the use of pain medications, may improve functional outcomes, and may improve health-related quality of life (all GRADEs: Low). We did not find any studies that compared permanent PNS to temporary PNS. Implantation of a PNS system is a reasonably safe procedure; most adverse events were localized and mild in intensity (GRADEs: Moderate to Low).The incremental cost-effectiveness ratio of PNS in addition to standard care compared with standard care alone is $87,211 per quality-adjusted life-year (QALY) gained. The probability of PNS in addition to standard care being cost-effective versus standard care alone is 1.02% at a willingness-to-pay of $50,000 per QALY gained and 64.88% at a willingness-to-pay of $100,000 per QALY gained. The annual budget impact of publicly funding PNS in Ontario over the next 5 years ranges from an additional $0.97 million in year 1, increasing to $3.15 million in year 5, for a total of $10.09 million over 5 years. People with chronic pain and their family members and care partners viewed PNS favourably. Those who had direct experience with permanent PNS perceived it to be effective in reducing their pain levels, leading to a positive impact on their quality of life and mental health. Current barriers to accessing PNS include lack of awareness, cost, and geography. Conclusions: In adults with chronic neuropathic pain that is refractory to conventional medical management, permanent PNS likely improves pain outcomes, functional outcomes, and health-related quality of life but has little to no effect on the use of pain medications compared with placebo controls. Temporary PNS may improve pain outcomes, functional outcomes, and health-related quality of life, and it may reduce the use of pain medications. Implantation of a permanent or temporary PNS system is reasonably safe. The incremental cost-effectiveness ratio of PNS in addition to standard care compared with standard care alone is $87,211 per QALY gained. We estimate that publicly funding PNS in Ontario would result in additional costs of $10.09 million over the next 5 years. People who had direct experience with permanent PNS spoke of its effectiveness in reducing their pain levels and its positive impact on their quality of life and mental health. Barriers to accessing PNS include lack of awareness, cost, and geography.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,051
score de la tête « metaresearch » (Gemma)0,167
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Revue systématique · Signal consensuel: Revue systématique
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,051
Score d'incertitude au seuil0,271

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0510,167
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0080,013
Bibliométrie0,0270,021
Études des sciences et des technologies0,0010,002
Communication savante0,0070,005
Science ouverte0,0020,004
Intégrité de la recherche0,0040,004
Charge utile insuffisante (le modèle a refusé de juger)0,0060,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,080
Tête enseignante GPT0,377
Écart entre enseignants0,297 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeRevue systématique
Domainenon disponible
GenreSynthèse

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2024
Routes d'admission1
Résumé présentoui

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