Evidence map›Paper›PMID 39873810›Full record

ReviewCurrent pain and headache reports2025

Trigeminal Neuralgia: Disease Characterization and Prediction of Response to Surgical Intervention.

Jordan L W Lam, Tejas Sankar, Raymond F Sekula, Patrick B Senatus, Parag G Patil

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current pain and headache reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
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.

Jordan L W LamDepartment of Neurosurgery, University of Michigan, Ann Arbor, MI, USA.
Tejas SankarDepartment of Neurosurgery, University of Alberta, Edmonton, AB, Canada.
Raymond F SekulaDepartment of Neurosurgery, Columbia University, New York, NY, USA.
Patrick B SenatusDepartment of Neurosurgery, Yale University, New Haven, CT, USA.
Parag G PatilDepartment of Neurosurgery, University of Michigan, Ann Arbor, MI, USA. pgpatil@med.umich.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewTrigeminal neuralgia (TN) is a highly heterogeneous condition with a wide choice of successful treatment options. However, differences between subtypes are poorly understood and it remains unknown which patients will respond to different treatments. This review aims to summarize the current state of the TN field and explore the problem of predicting surgical outcomes. RECENT

findingsAttempts have been made to standardize classification, outcome reporting, and treatment guidelines. Identification of risk factors for poor surgical treatment outcomes has led to the development of prognostic scoring systems to predict outcomes and guide management. Advances in imaging techniques including diffusion tensor imaging show promise in better understanding the underlying pathophysiology and predicting surgical outcomes. Progress is hampered by lack of understanding of the pathophysiology in TN and differences between disease subtypes. Further work needs to be done to create accurate prediction tools for widespread use, including use of advanced imaging and computing tools, multicenter collaboration, and prospective validation.

Indexed as

Trigeminal NeuralgiaHumansPrognosisTreatment OutcomeClassificationOutcomesPrognosisReviewSurgeryTrigeminal Neuralgia

Identifiers

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.