Evidence map›Paper›PMID 37071216›Full record

SynthesisNeurosurgical review2023

Efficiency of surgery on posttraumatic epilepsy: a systematic review and meta-analysis.

Xueping Wang, Pengna Han, Qiang Wang, Chen Xie, Jun Chen

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Neurosurgical review, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Review
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

5 authors at 2 institutions in 1 country.

Xueping WangDepartment of Neurology, The First Hospital of Lanzhou University, Lanzhou, Gansu, 730000, People's Republic of China.
Pengna HanDepartment of Neurology, The First Hospital of Lanzhou University, Lanzhou, Gansu, 730000, People's Republic of China.
Qiang WangDepartment of Neurology, The First Hospital of Lanzhou University, Lanzhou, Gansu, 730000, People's Republic of China.
Chen XieDepartment of Neurology, The First Hospital of Lanzhou University, Lanzhou, Gansu, 730000, People's Republic of China.
Jun ChenDepartment of Neurology, The First Hospital of Lanzhou University, Lanzhou, Gansu, 730000, People's Republic of China. cj_0158@163.com.
First Hospital of Lanzhou University · CNLanzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Posttraumatic epilepsy (PTE) accounts for approximately 20% of structural epilepsy, and surgical intervention may be a potential treatment option for these patients. Therefore, the purpose of this meta-analysis is to evaluate the effectiveness of surgical interventions for the management of PTE. Four electronic databases (Pubmed, Embase, Scopus and Cochrane library) were searched to identify studies on surgical management of PTE. Seizures reduction rate were analyzed quantitatively in a meta-analysis. Fourteen studies involving 430 PTE patients were selected for analysis, out of which 12 reported on resective surgery (RS), 2 on vagus nerve stimulation (VNS), and 2 of the 12 RS studies reported that 14 patients underwent VNS. The seizure reduction rate for surgical interventions (both RS and VNS) was 77.1% (95% confidence interval [CI]: 69.8%-83.7%) with moderate heterogeneity (I

Indexed as

Drug Resistant EpilepsyEpilepsyHemispherectomyVagus Nerve StimulationHumansRetrospective StudiesSeizuresStereotaxic TechniquesTreatment OutcomeEpilepsy surgeryPosttraumatic epilepsyResective surgeryVagus nerve stimulation

Identifiers

PMID37071216
OpenAlexW4366236220

What OpenQuestion holds

Textmetadata
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.