Evidence map›Paper›PMID 40241751›Full record

ArticleiScience2025

Peri-operative anti-inflammatory drug use and seizure recurrence after resective epilepsy surgery: Target trials emulation.

Liran Szlak, Jingdi Shen, Eden Zohar, Ehud Karavani, Daniel Rotroff, Deborah Vegh, Vineet Punia, Michal Rosen-Zvi, Yishai Shimoni, Lara Jehi

Abstract read
In one paragraph

Article in iScience, 2025. 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
–field-weighted citation impact
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.

  1. 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

10 authors.

Liran SzlakIBM Research, Haifa, Israel.
Jingdi ShenCenter for Computational Life Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA.
Eden ZoharIBM Research, Haifa, Israel.
Ehud KaravaniIBM Research, Haifa, Israel.
Daniel RotroffQuantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA.
Deborah VeghCenter for Computational Life Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA.
Vineet PuniaEpilepsy Center, Cleveland Clinic, Cleveland, OH, USA.
Michal Rosen-ZviIBM Research, Haifa, Israel.
Yishai ShimoniIBM Research, Haifa, Israel.
Lara JehiCenter for Computational Life Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We conducted a retrospective observational study to examine whether anti-inflammatory medications prescribed peri-operatively of resective brain surgery can reduce long-term seizure recurrence for individuals with drug-resistant focal epilepsy. We used insurance-claims data from across the United States to screen medications prescribed to 1,993 individuals undergoing epilepsy. We then validated the results in a well-characterized cohort of 671 epilepsy patients from a major surgical center. Twelve medications met the screening criteria and were evaluated, identifying dexamethasone and zonisamide as potentially beneficial. Dexamethasone reduced seizure recurrence by 42% over 9 years of follow-up (hazard-ratio = 0.742; 95% CI = 0.662, 0.831), and zonisamide reduced recurrence by 33% (HR = 0.782; 95% CI = 0.667, 0.917). While dexamethasone could not be validated, analysis of zonisamide in the clinical cohort corroborated the beneficial effect (HR = 0.828; 95% CI = 0.706, 0.971). If prospectively validated, this study suggests surgeons could improve long-term outcomes of epilepsy surgery by

Indexed as

Health informaticsHealth sciencesHealth technologyInternal medicineMedical specialtyMedicineNeurology

Identifiers

PMID40241751
PMCPMC12003005

What OpenQuestion holds

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LicenceCC BY-NC
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.