Questions Regarding “Pulsed Radiofrequency for Chronic Intractable Lumbosacral Radicular Pain: A Six-Month Cohort Study”
Notice bibliographique
Résumé
Dear Editor, I read the paper on the results of pulsed radiofrequency (PRF) for chronic intractable pain by Van Boxem et al. [ 1 ] with great interest. I congratulate the authors on this excellent prospective observational study with relevant inclusion and exclusion criteria. However, I have some questions and comments regarding the methodology and results of the study. First, the flexibility of conventional medical management (CMM) makes it difficult to interpret outcomes following PRF in participants in the study. I wonder whether allowing participants only specific analgesics (e.g., tramadol) in the post-procedure phase, measuring their mean daily doses, and limiting the use and doses of other medications for neuropathic pain (e.g., allowing only gabapentin and amitriptyline in specific dose ranges) would have helped readers to discern the impact of PRF on pain and quality of life. Escalation of doses of these medications may have accounted for post-intervention improvements and confounded the results of PRF. Second, were any steroids administered in the neural foramen following the PRF (i.e., prior to removal of PRF cannula)? This is often done by interventional pain physicians to “enhance” analgesic impact. Third, the authors used DN4 for linear follow-up and reported mean scores at various post-procedure follow-up time points. I have some concerns regarding the use of DN4 in this fashion. The DN4 is a screening tool that is often used as an inclusion criterion to increase the probability of enrolling participants with neuropathic pain, but it has not been developed or validated for the quantification of neuropathic pain or assessment of the effects of treatment. It has been suggested that the Neuropathic Pain Symptom Inventory (NPSI), a self-questionnaire specifically designed to evaluate the different symptoms of neuropathic pain, may be a more appropriate tool for assessing the effects of interventions on neuropathic pain over time [ 2 ]. Fourth, the number of patients whose data were analyzed is unclear. The flow diagram in Figure 1 indicates that 65 participants were treated with PRF, but data from 13 subjects were not included. This should have yielded data from 52 (and not 42, the number indicated in the box in the bottom left in Figure 1) participants. Fifth, though the authors indicate that the Leeds Assessment of Neuropathic Symptoms and Signs (LANSS) tool was used at each of the follow-up visits, no data from this tool were presented, except for the baseline values. Finally, even though repeat PRF was performed on only five participants, the indications and methodology for repeat PRF procedures are unclear. The authors state that a single repeat PRF procedure was performed at the same or an adjacent level according to clinical symptoms “if patients at the 6 week evaluation reported clinically insufficient pain relief, defined as less than 50% pain relief…or less than a 2 point reduction on the NRS” or “if the patient considered the effect of the first intervention was not sufficient.” The latter criterion (“not sufficient”) sounds quite subjective. Could the authors kindly elaborate on this aspect? This will help pain interventionists and their patients to decide whether repeat PRF procedures are indicated as part of clinical care or clinical trials.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,015 | 0,082 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,002 |
| Communication savante | 0,002 | 0,003 |
| Science ouverte | 0,003 | 0,001 |
| Intégrité de la recherche | 0,017 | 0,013 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,003 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».