Evidence map›Paper›PMID 41789216›Full record

ArticleAnnals of medicine and surgery (2012)2026

Use of intraoperative neuromonitoring in robotic thyroidectomy: a systematic review of recurrent laryngeal nerve outcomes.

Nagham Al Dirani, Hadi Ftouni, André Chemaly, Abbass Al Bazzal, Fatima Youness, Jana Kotaich, Linda AbouAbbas

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Article in Annals of medicine and surgery (2012), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Nagham Al DiraniFaculty of Medical Sciences, Lebanese University, Hadath, Lebanon.
Hadi FtouniFaculty of Medical Sciences, Lebanese University, Hadath, Lebanon.
André ChemalyFaculty of Medical Sciences, Lebanese University, Hadath, Lebanon.
Abbass Al BazzalFaculty of Medical Sciences, Lebanese University, Hadath, Lebanon.
Fatima YounessFaculty of Medical Sciences, Lebanese University, Hadath, Lebanon.
Jana KotaichFaculty of Medical Sciences, Lebanese University, Hadath, Lebanon.
Linda AbouAbbasINSPECT-LB (Institut National de Santé Publique Epidémiologie Clinique et Toxicologie-Liban), Beirut, Lebanon.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Intraoperative neuromonitoring (IONM) is an emerging alternative to visual identification of the recurrent laryngeal nerve (RLN) during surgery. Its goal is to reduce RLN injury and vocal cord paralysis (VCP). However, evidence has been inconsistent concerning its benefits. This study aims to assess IONM's efficacy in preventing RLN injury during robotic thyroidectomy (RoT). Methods: This systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A comprehensive literature search was conducted across four electronic databases: PubMed, Web of Science, EMBASE, and Cochrane Library. The inclusion criteria comprised studies published in English that focused on RoT procedures utilizing IONM to assess their effect on RLN injury. Exclusion criteria included non-English publications, studies without full-text availability, reviews, editorials, case reports, animal studies, and studies that did not meet our objectives. After screening, data were extracted and presented qualitatively. Results: An analysis of six studies involving 1006 patients, where the majority evaluated IONM within RoT procedures. Continuous IONM (C-IONM) was feasible and effective for identifying RLN and aiding in its preservation. Outcomes such as success rates, electromyography signal quality, VCP incidence, hypoparathyroidism, hypocalcemia, and bleeding showed comparable trends across groups. Notably, a study found that RoT using IONM, particularly C-IONM, was associated with significantly longer operative times averaging approximately 55.8 minutes longer than open thyroidectomy. Despite this, findings emphasized the protective role of C-IONM in minimizing nerve injury during robotic thyroid procedures, although it did not significantly impact postoperative complications like VCP or length of stay. Conclusion: Our findings suggest that IONM, particularly C-IONM, is feasible during RoT and may support RLN identification and preservation. However, current evidence is limited, and further well-designed studies are needed to clarify its clinical impact and establish criteria for routine use.

Indexed as

continuous IONM (C-IONM)intraoperative neuromonitoring (IONM)recurrent laryngeal nerve (RLN) injuryrobotic thyroidectomy (RoT)surgical outcomesvocal cord paralysis (VCP)

Identifiers

PMID41789216
PMCPMC12959795

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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.