Evidence map›Paper›PMID 36323716›Full record

ArticleScientific reports2022

Effect of local anesthesia on pain scale and specimen adequacy in fine-needle aspiration biopsy of thyroid nodules for liquid-based cytology.

Tsung-Lun Lee, Pei-Yin Wei, Shyh-Kuan Tai

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
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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

3 authors at 3 institutions in 1 country.

Tsung-Lun LeeDepartment of Otolaryngology, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Pei-Yin WeiDepartment of Otolaryngology, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Shyh-Kuan TaiDepartment of Otolaryngology, National Yang Ming Chiao Tung University, Taipei, Taiwan. sktai@vghtpe.gov.tw.
Ministry of Health and Welfare · TWNational Yang Ming Chiao Tung University · TWTaipei Veterans General Hospital · TW

Funding

Taipei Veterans General Hospital V109C-184
6 · The paper itself

Abstract

Fine-needle aspiration biopsy (FNAB) is a routine diagnostic test for thyroid nodules. The use of local anesthesia (LA) before the procedure is still controversial. This prospective study aimed to evaluate the degree of pain and specimen adequacy in liquid-based cytology (LBC) for FNAB of thyroid nodules with and without LA. A total of 100 consecutive patients with thyroid nodules who underwent FNAB with and without LA between January and December 2020 were included. Patients who received LA had a significantly lower immediate pain scale score (P = 0.01). Multivariate analysis demonstrated that no use of LA (odds ratio [OR] = 3.48, 95% confidence interval [CI] = 1.50-8.10, P = 0.004) and lesion abutting the trachea (OR = 6.14, 95% CI = 1.56-24.12, P = 0.009) were independently and significantly associated with pain degree immediately after FNAB. A higher proportion of patients who previously underwent FNAB thought that LA was helpful and should be performed prior to FNAB. However, the use of LA did not improve the specimen adequacy (P = 0.075). The results showed that administration of LA with a proper technique before ultrasound-guided FNAB might reduce immediate pain after the procedure, and patients may experience more pain when the aspirated nodules abut the trachea.

Indexed as

Thyroid NeoplasmsThyroid NoduleAnesthesia, LocalBiopsy, Fine-NeedleHumansPainProspective StudiesRetrospective StudiesSensitivity and Specificity

Identifiers

PMID36323716
PMCPMC9630258
OpenAlexW4307921951

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.