Evidence map›Paper›PMID 27701046›Full record

ArticleEpilepsy research2016

Preoperative prediction of temporal lobe epilepsy surgery outcome.

Daniel M Goldenholz, Alexander Jow, Omar I Khan, Anto Bagić, Susumu Sato, Sungyoung Auh, Conrad Kufta, Sara Inati, William H Theodore

Open access · greenAbstract read
In one paragraph

Article in Epilepsy research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 19% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

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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

9 authors at 1 institution in 2 countries.

Daniel M GoldenholzClinical Epilepsy Section, NINDS, NIH, United States. Electronic address: daniel.goldenholz@nih.gov.
Alexander JowClinical Epilepsy Section, NINDS, NIH, United States.
Omar I KhanClinical Epilepsy Section, NINDS, NIH, United States; Office of the Clinical Director, NINDS, NIH, United States.
Anto BagićClinical Epilepsy Section, NINDS, NIH, United States.
Susumu SatoElectroencephalography Section, NINDS, NIH, United States.
Sungyoung AuhClinical Neurosciences Program, NINDS, NIH, United States.
Conrad KuftaNeurosurgical Biology and Therapeutics Section, NINDS, NIH, United States.
Sara InatiElectroencephalography Section, NINDS, NIH, United States.
William H TheodoreClinical Epilepsy Section, NINDS, NIH, United States.
University of Nis · RS

Funding

Intramural NIH HHS Z99 NS999999
6 · The paper itself

Abstract

purposeThere is controversy about relative contributions of ictal scalp video EEG recording (vEEG), routine scalp outpatient interictal EEG (rEEG), intracranial EEG (iEEG) and MRI for predicting seizure-free outcomes after temporal lobectomy. We reviewed NIH experience to determine contributions at specific time points as well as long-term predictive value of standard pre-surgical investigations.

methodsRaw data was obtained via retrospective chart review of 151 patients. After exclusions, 118 remained (median 5 years follow-up). MRI-proven mesial temporal sclerosis (MTSr) was considered a separate category for analysis. Logistic regression estimated odds ratios at 6-months, 1-year, and 2 years; proportional hazard models estimated long-term comparisons. Subset analysis of the proportional hazard model was performed including only patients with commonly encountered situations in each of the modalities, to maximize statistical inference.

resultsAny MRI finding, MRI proven MTS, rEEG, vEEG and iEEG did not predict two-year seizure-free outcome. MTSr was predictive at six months (OR=2.894, p=0. 0466), as were MRI and MTSr at one year (OR=10.4231, p=0. 0144 and OR=3.576, p=0. 0091). Correcting for rEEG and MRI, vEEG failed to predict outcome at 6 months, 1year and 2 years. Proportional hazard analysis including all available follow-up failed to achieve significance for any modality. In the subset analysis of 83 patients with commonly encountered results, vEEG modestly predicted long-term seizure-free outcomes with a proportional hazard ratio of 1.936 (p=0.0304).

conclusionsIn this study, presurgical tools did not provide unambiguous long-term outcome predictions. Multicenter prospective studies are needed to determine optimal presurgical epilepsy evaluation.

Indexed as

ElectroencephalographyMagnetic Resonance ImagingAdultAnterior Temporal LobectomyEpilepsy, Temporal LobeFemaleFollow-Up StudiesHumansKaplan-Meier EstimateLogistic ModelsMalePreoperative PeriodPrognosisProportional Hazards ModelsRetrospective StudiesSclerosisEpilepsyLong term monitoringMRIOutcomesSurgeryVideo EEG

Identifiers

PMID27701046
PMCPMC5086266
OpenAlexW2522733228

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.