Evidence map›Paper›PMID 42803360›Full record

ReviewGlobal spine journal2026

Diagnostic Accuracy of Intraoperative Neurophysiologic Monitoring in Spinal Deformity Surgery: Systematic Review and Meta-Analysis.

Brendan T O'Reilly, Alexandra M Dunker, Drue M Domagala, Allie C Reynolds, Catalina Garcia, Sohan Arakal, Giselle K Henry, David Travis Johnston, Rajiv S Dharnipragada, Stavros Matsoukas and 5 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Global spine journal, 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

15 authors.

Brendan T O'ReillyDepartment of Orthopedic Surgery, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA.ORCID 0009-0000-0493-3447
Alexandra M DunkerDepartment of Orthopedic Surgery, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA.
Drue M DomagalaDepartment of Orthopedic Surgery, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA.ORCID 0009-0007-9021-9848
Allie C ReynoldsDepartment of Orthopedic Surgery, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA.
Catalina GarciaUniversity of Arkansas, Fayetteville, AR, USA.
Sohan ArakalRice University, Houston, TX, USA.
Giselle K HenryDepartment of Orthopedic Surgery, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA.ORCID 0009-0008-4125-3115
David Travis JohnstonDepartment of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA.ORCID 0000-0003-3071-7996
Rajiv S DharnipragadaDepartment of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA.
Stavros MatsoukasDepartment of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA.
Theodore GallasDepartment of Orthopedic Surgery, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA.
Noah C FulcomerDepartment of Orthopedic Surgery, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA.
Shyon K AhmadiDepartment of Orthopedic Surgery, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA.
Alexander LeeDepartment of Orthopedic Surgery, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA.
Eric O KlinebergDepartment of Orthopedic Surgery, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Study DesignSystematic review and diagnostic accuracy meta-analysis.ObjectiveTo evaluate the diagnostic accuracy of intraoperative neurophysiologic monitoring (IONM) for detecting postoperative neurologic deficits in spinal deformity surgery and assess performance across monitoring modalities.MethodsA systematic review of PubMed, Embase, and Web of Science (2000-2026) was performed in accordance with PRISMA guidelines. Studies reporting intraoperative neuromonitoring and postoperative neurologic outcomes were included. Diagnostic accuracy metrics were calculated from contingency tables and pooled using random-effects models. Subgroup analyses were performed by monitoring modality.ResultsA total of 43 studies were included in the systematic review. Of these, 38 had constructable 2x2 tables and contributed to the specificity and false-positive rate analyses, while 36 contributed to the sensitivity, false-negative rate, and diagnostic-odds ratio models. Pooled sensitivity was 90.1% (95% CI, 83.8-94.2%), and pooled specificity was 95.4% (95% CI, 93.0-97.0%). The diagnostic odds ratio was 206.8 (95% CI, 92.8-460.9). Heterogeneity was observed (I

Indexed as

diagnostic accuracyintraoperative neuromonitoringintraoperative neurophysiologic monitoringIONMkyphosisMEPmeta-analysismotor evoked potentialsscoliosissensitivitysomatosensory evoked potentialsspecificityspinal deformity surgerySSEPsystematic review

Identifiers

PMID42803360
PMCPMC13619987

What OpenQuestion holds

Textmetadata
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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.