Evidence map›Paper›PMID 41209756›Full record

ArticleWideochirurgia i inne techniki maloinwazyjne = Videosurgery and other miniinvasive techniques2025

Protective effect of complete endoscopic thyroidectomy through different approaches on the recurrent laryngeal nerve.

Jianghai Li, Yuming Hua

Abstract read
In one paragraph

Article in Wideochirurgia i inne techniki maloinwazyjne = Videosurgery and other miniinvasive techniques, 2025. 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

2 authors.

Jianghai LiDepartment of Thyroid and Breast Surgery Affiliated Hospital of Jiangnan University Wuxi, Jiangsu Province China.
Yuming HuaDepartment of Thyroid and Breast Surgery Affiliated Hospital of Jiangnan University Wuxi, Jiangsu Province China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Papillary thyroid carcinoma (PTC) is a malignancy originating from the thyroid follicular epithelium, accounting for over 80% of thyroid cancer globally. It is often asymptomatic in its early stages, but over time, it may invade the unilateral recurrent laryngeal nerve (RLN), leading to hoarseness, weak speech, or dysphagia. In order to prevent further complications, prompt treatment is required, and surgery remains the primary and most effective option. Aim: This study aimed to evaluate the protective effect of complete endoscopic thyroidectomy (CET) via different approaches on the RLN. Materials and Methods: The study analyzed clinical data of 100 patients with clinically node-negative PTC, who underwent CET via the breast approach from February 2023 to February 2025. The patients were divided into 2 groups: the control group (n = 55) which underwent CET via the axillary approach and the study group (n = 45), subjected to CET via the clavicular approach. Result: Postoperative assessments showed considerable improvements in amplitude perturbation, fundamental frequency perturbation, harmonic-to-noise ratio, and normalized noise energy in both groups, with the study group demonstrating superior results ( Conclusion: Compared with the axillary approach, CET via the clavicular approach results in greater postoperative improvements in acoustic parameters, lower voice handicap index scores, better scar appearance, and higher Short Form-36 health status scores.

Indexed as

endoscopyprotectionrecurrent laryngeal nervethyroidectomy

Identifiers

PMID41209756
PMCPMC12590374

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.