Evidence map›Paper›PMID 39281237›Full record

ReviewPakistan journal of medical sciences2024

Systematic review with meta-analysis of intraoperative neuromonitoring during thyroid reoperation.

Shengwei Ji, Mingrong Hu, Chunjie Zhang, Maowei Pei

Abstract readReview
In one paragraph

Review in Pakistan journal of medical sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
  2. Article
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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.

Shengwei JiShengwei Ji Department of General Surgery, The People's Hospital of Qingtian County, Zhejiang, 323900, China.
Mingrong HuMingrong Hu Department of Thyroid and Breast Surgery, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, 310015, China.
Chunjie ZhangChunjie Zhang Department of General Surgery, The Zhejiang Hospital, Zhejiang, 310000, China.
Maowei PeiMaowei Pei Department of General Surgery, The Zhejiang Hospital, Zhejiang, 310000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Recurrent laryngeal nerve (RLN) injury is a serious complication during thyroid reoperation. Intraoperative neuromonitoring (IONM) is one of the means to reduce RLN paralysis. However, the role of IONM during thyroidectomy is still controversial. The aim of this study was to assess whether the IONM could reduce the incidence of RLN injury during thyroid reoperation. Methods: We performed a systematic review to identify studies in English language which were published between January 1, 2004, and March 25, 2023 from PubMed, EMBASE, and Cochrane Library, comparing the use of IONM and Visualization Alone (VA) during thyroid reoperation. The RLN injury rate was calculated in relation to the number of nerves at risk. All data were analyzed using Review Manger (version 5.3) software. The Cochran Q test (I Results: Eleven studies (3655 at-risk nerves) met criteria for inclusion. Data presented as odds ratio(OR) and their 95% confidence intervals(CI). Incidence of overall, temporary, and permanent RLN injury in IONM group were, respectively, 4.67%, 4.17%, and 2.39%, whereas for the VA group, they were 8.30%, 6.27%, and 2.88%. The summary OR of overall, temporary, and permanent RLN injury compared using IONM and VA were, respectively, 0.68 (95%CI 0.4-1.14, p=0.14), 0.82 (95%CI 0.39-1.72, p=0.60), and 0.62 (95%CI 0.4-0.96, p=0.03). Conclusions: The presented data showed benefits of reducing permanent RLN injury by using IONM, but without statistical significance for temporary RLN injury.

Indexed as

Intraoperative neuromonitoringRecurrent laryngeal nerveThyroidectomyThyroid reoperationThyroid Surgery

Identifiers

PMID39281237
PMCPMC11395382

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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.