ArticleNeurology2018
Nomograms to predict naming decline after temporal lobe surgery in adults with epilepsy.
Article in Neurology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 3 of them syntheses that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
43 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Pooled it
- A systematic survey of the measures used to identify postoperative changes in language function following epilepsy surgery.Epilepsia open · 2025Pooled it
- Healthcare professionals' knowledge, attitude, and perception of epilepsy surgery: A systematic review.Epilepsy & behavior : E&B · 2021Pooled it
- Prepare, don't scare: Rethinking cognitive readiness before epilepsy surgery.Epilepsia open · 2026Article
- Determining hemispheric language dominance from MEG beta-power modulations: Concordance with fMRI.NeuroImage · 2026Article
- Article
- Article
- Seminars in epileptology: Presurgical epilepsy evaluation.Epileptic disorders : international epilepsy journal with videotape · 2025Review
- Article
- Object naming after epilepsy surgery in the dominant left temporal lobe: risk factors, time course and long-term outcome.Journal of neurology, neurosurgery, and psychiatry · 2025Article
- Neural (re)organisation of language and memory: implications for neuroplasticity and cognition.Journal of neurology, neurosurgery, and psychiatry · 2025Article
- Epilepsy Therapies Symposium | Do We Really "Outgrow" Seizures?Epilepsy currents · 2024Review
- Impact of white matter networks on risk for memory decline following resection versus ablation in temporal lobe epilepsy.Journal of neurology, neurosurgery, and psychiatry · 2024Article
- Neurobehavioral and Clinical Comorbidities in Epilepsy: The Role of White Matter Network Disruption.The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry · 2024Review
- Age of epilepsy onset as modulating factor for naming deficit after epilepsy surgery: a voxel-based lesion-symptom mapping study.Scientific reports · 2023Article
- Characterization and Prediction of Short-term Outcomes in Memory After Temporal Lobe Resection in Children With Epilepsy.Neurology · 2023Article
- Interictal MEG abnormalities to guide intracranial electrode implantation and predict surgical outcome.ArXiv · 2023Article
- The Processing Differences between Chinese Proper Nouns and Common Nouns in the Left and Right Hemispheres of the Brain.Brain sciences · 2023Article
- Interictal magnetoencephalography abnormalities to guide intracranial electrode implantation and predict surgical outcome.Brain communications · 2023Article
- The impact of temporal lobe epilepsy surgery on picture naming and its relationship to network metric change.NeuroImage. Clinical · 2023Article
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
objectiveTo develop and externally validate models to predict the probability of postoperative naming decline in adults following temporal lobe epilepsy surgery using easily accessible preoperative clinical predictors.
methodsIn this retrospective, prediction model development study, multivariable models were developed in a cohort of 719 patients who underwent temporal lobe epilepsy surgery at Cleveland Clinic and externally validated in a cohort of 138 patients who underwent temporal lobe surgery at one of 3 epilepsy surgery centers in the United States (Columbia University Medical Center, Emory University School of Medicine, University of Washington School of Medicine).
resultsThe development cohort was 54% female with an average age at surgery of 36 years (SD 12). Twenty-six percent of this cohort experienced clinically relevant postoperative naming decline. The model included 5 variables: side of surgery, age at epilepsy onset, age at surgery, sex, and education. When applied to the external validation cohort, the model performed very well, with excellent calibration and a
conclusionExternally validated nomograms are provided in 2 easy-to-use formats (paper version and online calculator) clinicians can use to estimate the probability of naming decline in patients considering epilepsy surgery for treatment of pharmacoresistant temporal lobe epilepsy.
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