Evidence map›Paper›PMID 42138764›Full record

ArticleJournal of robotic surgery2026

Robotic transaxillary thyroidectomy in Graves' disease: a single-institution experience with surgical outcomes and complications.

Mor Shaked Shukrun, Esmat Najjar, Aiman Elmograbi, Patrick Aïdan

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Article in Journal of robotic surgery, 2026. 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

4 authors.

Mor Shaked Shukrun *Department of Otolaryngology-Head and Neck Surgery, Rabin Medical Center, Zeev Jabotinsky Street 39, Petah Tikva, 4941492, Israel. shukrun.mor@gmail.com.
Esmat Najjar *Department of Otolaryngology-Head and Neck Surgery, Rabin Medical Center, Zeev Jabotinsky Street 39, Petah Tikva, 4941492, Israel.
Aiman ElmograbiDepartment of Otolaryngology-Head and Neck Surgery, Rabin Medical Center, Zeev Jabotinsky Street 39, Petah Tikva, 4941492, Israel.
Patrick AïdanBizet Surgical Center, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surgical management of Graves' disease presents unique challenges due to increased vascularity and gland inflammation. The robotic transaxillary approach offers a remote-access technique, avoiding an anterior cervical scar. This study evaluates the surgical outcomes and complications of robotic transaxillary thyroidectomy in patients with Graves' disease. A retrospective review was conducted on 74 patients who underwent robotic transaxillary thyroidectomy for Graves' disease at a single institution. Demographic data, operative details, and postoperative complications were analyzed. The study included 74 patients. Lobectomy was performed in 3 patients (4.1%), while the majority underwent total thyroidectomy. The overall transient hypocalcaemia rate was 13.5%, corresponding to 28.6% in the total thyroidectomy subgroup. Transient recurrent laryngeal nerve palsy occurred in 4 patients (5.41%). Postoperative hematoma or seroma occurred in 2 patients (2.70%). There were no permanent complications recorded in this cohort. Robotic transaxillary thyroidectomy is safe and feasible for the surgical management of Graves' disease. It provides outcomes within reported ranges for conventional approaches while avoiding an anterior cervical scar.

Indexed as

Graves DiseaseRobotic Surgical ProceduresThyroidectomyAdultAxillaFemaleHumansHypocalcemiaMaleMiddle AgedPostoperative ComplicationsRetrospective StudiesTreatment OutcomeYoung AdultGraves’ diseaseRobotic surgerySurgical outcomesThyroidectomyTransaxillary approach

Identifiers

PMID42138764

What OpenQuestion holds

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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.