Evidence map›Paper›PMID 39609472›Full record

ArticleScientific reports2024

The value and sensitivity of contrast-enhanced ultrasonography combined with fine-needle aspiration biopsy in the diagnosis of thyroid nodules.

Chao Zhang, Zhi-Long Liu, Zhi-Hong Wei, Qin Lu

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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.

Chao ZhangDepartment of Ultrasonic, Shanxi Provincial People's Hospital, 29 shuangtaisi street, yingze district, Taiyuan, Shanxi, 030001, China. 120664228@qq.com.
Zhi-Long LiuDepartment of Ultrasonic, Shanxi Provincial People's Hospital, 29 shuangtaisi street, yingze district, Taiyuan, Shanxi, 030001, China.
Zhi-Hong WeiDepartment of Ultrasonic, Shanxi Provincial People's Hospital, 29 shuangtaisi street, yingze district, Taiyuan, Shanxi, 030001, China.
Qin LuDepartment of Ultrasonic, Shanxi Provincial People's Hospital, 29 shuangtaisi street, yingze district, Taiyuan, Shanxi, 030001, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To investigate the value and sensitivity of contrast-enhanced ultrasonography (CEUS) combined with fine-needle aspiration biopsy (FNAB) in the diagnosis of thyroid nodules. This study enrolled 120 patients with thyroid nodules who visited our hospital between July 2018 and January 2021. All patients underwent CEU and CEUS-guided FNAB. The sensitivity, specificity, accuracy, positive predictive value, and negative predictive value of CEUS-guided FNAB for the qualitative diagnosis of thyroid nodules were significantly higher compared with CEUS only (P < 0.05). The consistency in the diagnostic results was high between CEU-guided FNAB and surgical pathology and moderate between CEU and surgical pathology. The diagnostic coincidence rates of CEUS-guided FNAB were significantly higher than those of CEU only for papillary thyroid carcinoma, follicular carcinoma, undifferentiated carcinoma, and medullary carcinoma (P < 0.05). The diagnostic coincidence rates of CEUS-guided FNAB for stages I, II, and III thyroid cancer were significantly higher compared with CEU only (P < 0.05). Contrast-enhanced ultrasonography combined with FNAB improved the sensitivity and accuracy of making a qualitative diagnosis for thyroid nodules. This outcome will not only help to distinguish thyroid cancer from benign ones but can also assist in determining the pathological type and tumor stage of thyroid cancer, thereby presenting good diagnostic value.

Indexed as

Contrast MediaSensitivity and SpecificityThyroid NeoplasmsThyroid NoduleUltrasonographyAdultAgedBiopsy, Fine-NeedleFemaleHumansMaleMiddle AgedThyroid Cancer, PapillaryThyroid GlandYoung AdultContrast MediaContrast-enhanced ultrasonographyDiagnosisFine-needle aspiration biopsyThyroid nodules

Identifiers

PMID39609472
PMCPMC11605116

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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.