Evidence map›Paper›PMID 42328462›Full record

ReviewClinical neurophysiology practice2026

Diagnostic test accuracy meta-analysis of transcranial motor evoked potential monitoring for the prediction of postoperative neurological deficits in ossification of the posterior longitudinal ligament surgery.

L Velur Prasuna, Velur Vibha, Gong Marvin

Abstract readReview
In one paragraph

Review in Clinical neurophysiology practice, 2026. 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
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.

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

3 authors.

L Velur PrasunaDepartment of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States.
Velur VibhaDepartment of Materials Science and Engineering, Texas A&M University, College Station, TX, United States.
Gong MarvinDepartment of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To quantify the diagnostic accuracy of transcranial motor evoked potential (TcMEP) monitoring for predicting postoperative neurological deficits in adults undergoing decompressive surgery exclusively for ossification of the posterior longitudinal ligament (OPLL), and to characterise heterogeneity sources. Methods: PubMed, Embase, and Cochrane were searched through January 2026. Studies were eligible if they reported extractable 2 × 2 contingency data for TcMEP monitoring in OPLL-exclusive cohorts (≥20 patients); quality was assessed with QUADAS-2 (Quality Assessment of Diagnostic Accuracy Studies). Sensitivity and specificity were pooled using random-effects models; a strong threshold effect (ρ = 0.91) precluded valid summary receiver operating characteristic (sROC) estimation. Publication bias was assessed by funnel plot regression. Results: Five studies (990 patients; deficit rate 6.9%) met eligibility. Pooled sensitivity was 54.8% (95% confidence interval [CI]: 28.8-78.5%) and specificity 90.0% (95% CI: 78.9-95.6%). Positive likelihood ratio (LR+) was 5.47; negative LR- 0.50; diagnostic odds ratio (DOR) 13.75 (95% CI: 7.11-26.59; I Conclusions: TcMEP monitoring in OPLL decompression yields pooled sensitivity 54.8%, specificity 90.0%, DOR 13.75 (I Significance: This is the first meta-analysis of TcMEP diagnostic accuracy in OPLL-exclusive surgical populations. The consistent DOR (I

Indexed as

Diagnostic accuracyIntraoperative neuromonitoringLikelihood ratiometa-analysisOssification of the posterior longitudinal ligamentPostoperative neurological deficitTranscranial motor evoked potentials

Identifiers

PMID42328462
PMCPMC13280124

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.