Evidence map›Paper›PMID 38093756›Full record

ArticleFrontiers in neurology2023

A nomogram to predict the treatment benefit of perampanel in drug-resistant epilepsy patients.

Chaofeng Zhu, Juan Li, Dazhu Wei, Luyan Wu, Yuying Zhang, Huapin Huang, Wanhui Lin

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 75% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

7 authors at 2 institutions in 1 country.

Chaofeng Zhu *Department of Neurology, Fujian Medical University Union Hospital, Fuzhou, China.
Juan Li *Department of Neurology, Fujian Medical University Union Hospital, Fuzhou, China.
Dazhu Wei *Department of Neurology, Fujian Medical University Union Hospital, Fuzhou, China.
Luyan WuDepartment of Neurology, Fujian Medical University Union Hospital, Fuzhou, China.
Yuying ZhangDepartment of Neurology, Fujian Medical University Union Hospital, Fuzhou, China.
Huapin HuangDepartment of Neurology, Fujian Medical University Union Hospital, Fuzhou, China.
Wanhui LinDepartment of Neurology, Fujian Medical University Union Hospital, Fuzhou, China.
Fujian Medical University · CNUnion Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The objective of this study was to identify the factors that affect the efficacy of added perampanel for the treatment of drug-resistant epilepsy (DRE), and to develop a reliable nomogram to predict the benefit of this addition. Methods: A retrospective clinical analysis was conducted on DRE patients who received perampanel treatment and who were followed up for at least 6 months from January 2020 and September 2023 at the Epilepsy Center of Fujian Medical University Union Hospital. Data from January 2020 to December 2021 were used as development dataset to build model, while the data from January 2022 to September 2023 were used as validation dataset for internal validation. The predictive factors that affected the efficacy of perampanel as DRE treatment were included in the final multivariate logistic regression model, and a derived nomogram was established. Results: A total of 119 DRE patients who received perampanel treatment were included in this study (development datasets: Conclusion: The proposed nomogram has significant clinical potential for predicting the probability of benefit of perampanel as DRE treatment. This nomogram can be used to identify DRE patients who could benefit from the early addition of perampanel to their treatment regimen.

Indexed as

development and validationepilepsynomogramperampanelpredictive model

Identifiers

PMID38093756
PMCPMC10718189
OpenAlexW4388657693

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.