Evidence map›Paper›PMID 27348062›Full record

ArticleSeizure2016

Decision analysis of intracranial monitoring in non-lesional epilepsy.

G C Hotan, A F Struck, M T Bianchi, E N Eskandar, A J Cole, M B Westover

Abstract readComparative Study
In one paragraph

Article in Seizure, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. A Theoretical Paradigm for Evaluating Risk-Benefit of Status Epilepticus Treatment.Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society · 2020
    Review
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

G C HotanMassachusetts Institute of Technology Department of Brain and Cognitive Sciences, Cambridge, MA, USA.
A F StruckMassachusetts General Hospital Department of Neurology, Boston, MA, USA. Electronic address: astruck@mgh.harvard.edu.
M T BianchiMassachusetts General Hospital Department of Neurology, Boston, MA, USA.
E N EskandarMassachusetts General Hospital Department of Neurosurgery, Boston, MA, USA.
A J ColeMassachusetts General Hospital Department of Neurology, Boston, MA, USA.
M B WestoverMassachusetts General Hospital Department of Neurology, Boston, MA, USA.
Massachusetts General Hospital · USMassachusetts Institute of Technology · US

Funding

Striatal Stimulation for Augmentation of Recovery after Brain InjuryR01NS086422 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI ESKANDAR, EMAD N · 2013 to 2017
$2.6M
Quantitative Monitoring and Control of Sedation and Pain in the ICU EnvironmentK23NS090900 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI WESTOVER, MICHAEL BRANDON · 2014 to 2018
$988k
NINDS NIH HHS K23 NS090900NINDS NIH HHS R01 NS086422
6 · The paper itself

Abstract

purposeUp to one third of epilepsy patients develop pharmacoresistant seizures and many benefit from resective surgery. However, patients with non-lesional focal epilepsy often require intracranial monitoring to localize the seizure focus. Intracranial monitoring carries operative morbidity risk and does not always succeed in localizing the seizures, making the benefit of this approach less certain. We performed a decision analysis comparing three strategies for patients with non-lesional focal epilepsy: (1) intracranial monitoring, (2) vagal nerve stimulator (VNS) implantation and (3) medical management to determine which strategy maximizes the expected quality-adjusted life years (QALYs) for our base cases.

methodWe constructed two base cases using parameters reported in the medical literature: (1) a young, otherwise healthy patient and (2) an elderly, otherwise healthy patient. We constructed a decision tree comprising strategies for the treatment of non-lesional epilepsy and two clinical outcomes: seizure freedom and no seizure freedom. Sensitivity analyses of probabilities at each branch were guided by data from the medical literature to define decision thresholds across plausible parameter ranges.

resultsIntracranial monitoring maximizes the expected QALYs for both base cases. The sensitivity analyses provide estimates of the values of key variables, such as the surgical risk or the chance of localizing the focus, at which intracranial monitoring is no longer favored.

conclusionIntracranial monitoring is favored over VNS and medical management in young and elderly patients over a wide, clinically-relevant range of pertinent model variables such as the chance of localizing the seizure focus and the surgical morbidity rate.

Indexed as

Decision Support TechniquesAdultAgedAnticonvulsantsDrug Resistant EpilepsyElectrocorticographyFemaleHumansMaleMiddle AgedOutcome and Process Assessment, Health CareQuality-Adjusted Life YearsSensitivity and SpecificityVagus Nerve StimulationYoung AdultAnticonvulsantsDecision AnalysisEpilepsy SurgeryIntracranial EEGNon-lesional Epilepsy

Identifiers

PMID27348062
PMCPMC4967015
OpenAlexW2444199504

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.