Evidence map›Paper›PMID 29391387›Full record

SynthesisMedical science monitor : international medical journal of experimental and clinical research2018

The Preciseness in Diagnosing Thyroid Malignant Nodules Using Shear-Wave Elastography.

Na Chang, Xianchao Zhang, Wenjing Wan, Chengqi Zhang, Xianqi Zhang

Abstract readMeta-Analysis
In one paragraph

Synthesis in Medical science monitor : international medical journal of experimental and clinical research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

5 authors.

Na ChangDepartment of Medical Imaging, Shandong University, Jinan, Shandong, China (mainland).
Xianchao ZhangDepartment of Oncology, Xintai People's Hospital, Xintai, Shandong, China (mainland).
Wenjing WanDepartment of Nephrology, Xintai People's Hospital, Xintai, Shandong, China (mainland).
Chengqi ZhangDepartment of Medical Imaging, Qianfoshan Hospital, Shandong University, Jinan, Shandong, China (mainland).
Xianqi ZhangDepartment of Thoracic Surgery, Qianfoshan Hospital, Shandong University, Jinan, Shandong, China (mainland).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our study aimed to identify more accurate results about the diagnostic role of shear-wave elastography (SWE) for thyroid malignant nodules through a meta-analysis. Potential articles were searched in PubMed, Embase, and the Cochrane Library databases. Overall sensitivity and specificity with 95% confidence intervals (CIs) was used to represent the diagnostic accuracy of SWE. Summary receiver operating characteristic (ROC) curve was constructed to illustrate the results. In addition, χ² and I² tests were performed to assess heterogeneity. A value of p≤0.05 indicated significant heterogeneity. All the analysis was conducted in Meta-DiSc version 1.4 software. Twenty studies were included in the analysis. There were a total of 2,907 patients and 3,397 thyroid nodules included in the meta-analysis. Overall sensitivity and specificity were 0.68 (95% CI: 0.66-0.70) and 0.85 (95% CI: 0.84-0.87), respectively. The results showed the area under curve (AUC) was 0.9041, suggesting high accuracy of SWE for differentiating benign and malignant thyroid nodules. SWE showed high accuracy in identifying thyroid malignant nodules, suggesting it could serve as a diagnostic biomarker in thyroid nodules.

Indexed as

Elasticity Imaging TechniquesAdolescentAdultAgedArea Under CurveCell DifferentiationHumansMiddle AgedROC CurveSensitivity and SpecificityThyroid NoduleYoung Adult

Identifiers

PMID29391387
PMCPMC5806774

What OpenQuestion holds

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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.