Specialties / Neurosurgery
New Neurosurgery research.
The strongest recent Neurosurgery papers on PubMed, ranked by study design, topic and journal, with the same summaries subscribers get.
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meta-analysis, 10 studies
STN-SNr co-stimulation in Parkinson's disease: a systematic review and meta-analysis of motor and freezing-of-gait outcomes
Kong L, Li P, Bi Y, et al. Neurol Sci. Oct 2026.
- Findings
- Adding SNr to STN stimulation showed no difference in UPDRS-III across 73 participants (MD - 0.10, 95% CI - 1.01 to 0.81). It also provided no additional freezing-of-gait benefit across 86 participants (Hedges' g - 0.23, 95% CI - 1.04 to 0.59).
- Bottom line
- Current evidence does not support routine STN-SNr co-stimulation for motor or gait symptoms in Parkinson's disease.
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randomized trial, 60 patients
Comparison of dexmedetomidine and droperidol-fentanyl for asleep-awake-asleep techniques in awake craniotomy anesthesia: a randomized controlled study
Yang X, Qu D, Ren Y, et al. BMC Anesthesiol. Jul 2026.
- Findings
- In the trial, the dexmedetomidine group showed lower mean arterial pressure at time points T4‑T7 and lower heart rate at T1‑T4 and T7. A total of 61 patients were randomized and 60 were included in the final analysis.
- Bottom line
- Dexmedetomidine produced reductions in MAP and HR at the specified time points compared with droperidol‑fentanyl.
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systematic review, 31 studies
MRI-Based Machine Learning to Differentiate True Progression from Pseudoprogression in Glioblastoma: An Updated Systematic Review and Meta-Analysis
Zhang X, Guo X, Wang Y, et al. Neuro Oncol. Oct 2026.
- Findings
- In external test cohorts, MRI-based machine learning distinguished true progression from pseudoprogression with a pooled sensitivity of 0.78, specificity of 0.75, and summary AUC of 0.81. Internal validation cohorts showed a non-significantly higher AUC of 0.91.
- Bottom line
- MRI machine learning shows moderate-to-good accuracy, but small cohorts and risk of bias limit immediate clinical application.
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systematic review, 17 studies
Comparison of non-invasive neuromodulation for motor function rehabilitation in incomplete spinal cord injury: a systematic review and network meta-analysis
Han Y, Han J, Wang H, et al. BMC Neurol. Jul 2026.
- Findings
- Across 17 RCTs, iTBS improved lower-limb strength (SMD = 0.87) and gait speed (SMD = 0.52). 20 Hz-rTMS reduced spasticity (MD = - 0.41), while 10 Hz-rTMS yielded the greatest gain in functional independence (SMD = 1.03).
- Bottom line
- Non-invasive neuromodulation techniques such as iTBS and rTMS improve specific motor and functional domains after incomplete spinal cord injury.
Summaries are written by AI from PubMed abstracts, for keeping up with the literature. Check the source before it changes care. Editorial policy · Medical disclaimer
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