Evidence map›Paper›PMID 31602520›Full record

ArticleWorld journal of surgery2020

Intraoperative Neuromonitoring of Recurrent Laryngeal Nerve During Thyroidectomy with Adhesive Skin Electrodes.

Hyoung Shin Lee, Jungho Oh, Sung Won Kim, Yeong Wook Jeong, Che-Wei Wu, Feng-Yu Chiang, Kang Dae Lee

Abstract read
PubMed Publisher
In one paragraph

Article in World journal of surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.4field-weighted citation impact, top 5% of its field
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

12 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. A Low-Profile High-Density Electromyography Neckband for Recording Neck Muscle Activity.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2025
    Article
  3. Review
  4. Article
  5. Review
  6. Feasibility of facial nerve monitoring using adhesive surface electrodes during parotidectomy: a comparative study with needle electrodes.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2023
    Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Article
  12. 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

7 authors at 4 institutions in 2 countries.

Hyoung Shin LeeDepartment of Otolaryngology-Head and Neck Surgery, Kosin University College of Medicine, 34, Amnam-Dong, Seo-Gu, Busan, 602-715, Republic of Korea.
Jungho OhDepartment of Otolaryngology-Head and Neck Surgery, Haedong Hospital, Busan, Republic of Korea.
Sung Won KimDepartment of Otolaryngology-Head and Neck Surgery, Kosin University College of Medicine, 34, Amnam-Dong, Seo-Gu, Busan, 602-715, Republic of Korea.
Yeong Wook JeongDepartment of Otolaryngology-Head and Neck Surgery, Kosin University College of Medicine, 34, Amnam-Dong, Seo-Gu, Busan, 602-715, Republic of Korea.
Che-Wei WuDepartment of Otolaryngology-Head and Neck Surgery, Kaohsiung Medical University Hospital, Kaohsiung Medical University, 100 TzYou 1st Road, Kaohsiung, Taiwan.
Feng-Yu ChiangDepartment of Otolaryngology-Head and Neck Surgery, Kaohsiung Medical University Hospital, Kaohsiung Medical University, 100 TzYou 1st Road, Kaohsiung, Taiwan.
Kang Dae LeeDepartment of Otolaryngology-Head and Neck Surgery, Kosin University College of Medicine, 34, Amnam-Dong, Seo-Gu, Busan, 602-715, Republic of Korea. kdlee59@gmail.com.
Kosin University · KRKaohsiung Medical University · TWKaohsiung Medical University Chung-Ho Memorial Hospital · TWYang Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlternative methods to overcome limitations of electromyogram (EMG) tube applied for intraoperative neuromonitoring (IONM) of recurrent laryngeal nerve (RLN) during thyroidectomy have been introduced. In this study, we evaluated the feasibility of adhesive skin electrodes for IONM of RLN in patients who underwent thyroidectomy.

methodsA total of 39 nerves at risk were prospectively enrolled in this study. Twenty-five patients with papillary thyroid carcinoma, 3 patients with follicular neoplasm, and 2 patients with Graves' disease underwent thyroidectomy. All patients were intubated with EMG tube, and two disposable pre-gelled surface electrodes were attached to skin at both upper margins of thyroid cartilage. We followed the standard procedure of IONM, and the latency (msec) and amplitude (μV) of each signal were recorded prospectively.

resultsIntraoperative neuromonitoring using skin adhesive electrodes was successful in all nerves at risk. Amplitudes of the signals in IONM were significantly lower compared to those from EMG tube at each step of IONM, while no significant difference was identified in latency between two methods. Four nerves at risk (10.3%) showed loss of signal (<100 μV) during the steps of IONM from EMG tube, while all nerves at risk from adhesive skin electrodes showed acceptable biphasic EMG signal.

conclusionWe verified the usefulness of adhesive skin electrodes for IONM of RLN during thyroidectomy. Although lower amplitude remains the major limitation of this technique, adhesive skin electrodes may be considered an alternative method for IONM during thyroidectomy.

Indexed as

AdhesivesAdultAgedElectrodesElectromyographyFemaleHumansMaleMiddle AgedMonitoring, IntraoperativeProspective StudiesRecurrent Laryngeal NerveThyroid Cancer, PapillaryThyroidectomyAdhesives

Identifiers

PMID31602520
OpenAlexW2979977434

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.