The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Gabapentin and pregabalin for chronic neuropathic and early postsurgical pain: current evidence and future directions
Abstract
PURPOSE OF REVIEW: Gabapentin and pregabalin bind to the alpha-2-delta calcium channel subunit and represent a novel analgesic drug class. The evidence base supporting their use for chronic neuropathic and early postsurgical pain is reviewed. RECENT FINDINGS: Multiple, large, high-quality trials have demonstrated the safety and efficacy of gabapentin and pregabalin in neuropathic pain. Treatment-related improvement of pain and sleep positively impact upon quality of life. Sedation, dizziness and ataxia are important and relatively common adverse effects, however. Accumulating evidence indicates that gabapentin, and possibly pregabalin, also exert important effects following surgery. Multiple high-quality trials have demonstrated analgesic and opioid-sparing efficacy with gabapentin following various surgical procedures. Gabapentin and pregabalin reduce movement-evoked pain and this can lead to enhanced functional postoperative recovery. Postoperative opioid sparing is of questionable relevance since few trials have shown reduced opioid-related adverse effects. Sedation, dizziness and ataxia have been reported in only a few trials. Future larger-scale perioperative trials focused on safety assessment are needed, however. SUMMARY: Gabapentin and pregabalin are efficacious treatments for neuropathic and postsurgical pain. Future research addressing several specific questions would serve to better delineate their optimal roles in treating these and other pain conditions.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Acute Pain after Thoracic Surgery Predicts Long-Term Post-Thoracotomy Pain
Katz, J., Jackson, M., Kavanagh, B. P., & Sandler, A. N. (1996) · The Clinical Journal of Pain · doi:10.1097/00002508-199603000-00009 · Cited by 915
Cut and thrust: antecedent surgery and trauma among patients attending a chronic pain clinic
Crombie, I. K., Davies, H. T. O., & Macrae, W. A. (1998) · Pain · doi:10.1016/s0304-3959(98)00038-4 · Cited by 351
Fassoulaki, A., Triga, A., Melemeni, A., & Sarantopoulos, C. (2005) · Anesthesia & Analgesia · doi:10.1213/01.ane.0000180200.11626.8e · Cited by 255
The Efficiency of Gabapentin Therapy in Patients With Lumbar Spinal Stenosis
Yaksi, A., Özgönenel, L., & Özgönenel, B. (2007) · Spine · doi:10.1097/01.brs.0000261029.29170.e6 · Cited by 118
Durmus, M., Kadir But, A., Saricicek, V., Ilksen Toprak, H., & Ozcan Ersoy, M. (2007) · Acta Anaesthesiologica Scandinavica · doi:10.1111/j.1399-6576.2006.01237.x · Cited by 60
Cited by
Transition from acute to chronic postsurgical pain: risk factors and protective factors
Katz, J., & Seltzer, Z. (2009) · Expert Review of Neurotherapeutics · doi:10.1586/ern.09.20 · Cited by 782
Multimodal analgesia for controlling acute postoperative pain
Buvanendran, A., & Kroin, J. S. (2009) · Current Opinion in Anaesthesiology · doi:10.1097/aco.0b013e328330373a · Cited by 530
Efficacy of pregabalin in acute postoperative pain: a meta-analysis
Zhang, J., Ho, K.-Y., & Wang, Y. (2011) · British Journal of Anaesthesia · doi:10.1093/bja/aer027 · Cited by 357
Chloride extrusion enhancers as novel therapeutics for neurological diseases
Gagnon, M., Bergeron, M. J., Lavertu, G., Castonguay, A., Tripathy, S., Bonin, R. P., Perez-Sanchez, J., Boudreau, D., Wang, B., Dumas, L., et al. (2013) · Nature Medicine · doi:10.1038/nm.3356 · Cited by 356
The assessment and management of insomnia: an update
Krystal, A. D., Prather, A. A., & Ashbrook, L. H. (2019) · World Psychiatry · doi:10.1002/wps.20674 · Cited by 256
Metadata
- Authors
- Gilron, I.
- Venue
- Current Opinion in Anaesthesiology
- Published
- 2007-10
- Volume
- 20
- Issue
- 5
- Pages
- 456-472
- ISSN
- 0952-7907 (ISSN-L)
- OpenAlex
- W2069323374
- Cited by
- 229
- References
- 5
- FWCI
- 16.82
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Gabapentin and pregabalin for chronic neuropathic and early postsurgical pain: current evidence and future directions. https://app.cochat.ai/papers/10.1097/aco.0b013e3282effaa7
- The paper
- Gilron, I. (2007). Gabapentin and pregabalin for chronic neuropathic and early postsurgical pain: current evidence and future directions. Current Opinion in Anaesthesiology. https://doi.org/10.1097/aco.0b013e3282effaa7
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.