Evidence map›Paper›PMID 32775255›Full record

ArticleGland surgery2020

The analysis of differential diagnosis of benign and malignant thyroid nodules based on ultrasound reports.

Shumei Miao, Mang Jing, Rongrong Sheng, Dai Cui, Shan Lu, Xin Zhang, Shenqi Jing, Xiaoliang Zhang, Tao Shan, Hongwei Shan and 4 more

Open access · diamondAbstract read
In one paragraph

Article in Gland surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

14 citing papers in PubMed, 20 citations in OpenAlex.

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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

14 authors at 2 institutions in 1 country.

Shumei MiaoDepartment of Information, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210096, China.
Mang JingDepartment of Information, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210096, China.
Rongrong ShengDepartment of Information, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210096, China.
Dai CuiDepartment of Endocrinology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210096, China.
Shan LuHealth Education Section, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210096, China.
Xin ZhangDepartment of Information, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210096, China.
Shenqi JingDepartment of Information, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210096, China.
Xiaoliang ZhangDepartment of Information, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210096, China.
Tao ShanDepartment of Information, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210096, China.
Hongwei ShanDepartment of Information, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210096, China.
Tingyu XuDepartment of Information, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210096, China.
Bing WangDepartment of Information, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210096, China.
Zhongmin WangDepartment of Medical Informatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing 211166, China.
Yun LiuDepartment of Medical Informatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing 211166, China.
Jiangsu Province Hospital · CNNanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThyroid cancer is a common endocrine tumor, the incidence of which is increasing each year. Early diagnosis and treatment can effectively prevent thyroid cancer. This article uses Chinese's ultrasound reports to determine the value of early diagnosis.

methodsThe clinical data center of the First Affiliated Hospital of Nanjing Medical University was screened for patients diagnosed with a thyroid nodule, who had undergone a thyroid function test, ultrasound records and pathological assessment. A total of 811 patients with a total of 1,290 pathologically confirmed nodules (506 benign and 784 malignant) were enrolled. Logistic regression was used to analyze the variables that significantly affected malignant nodules. The sensitivity and specificity of ultrasound thyroid imaging-reporting and data system (TI-RADS) classification results for benign and malignant tumors were calculated.

resultsThe age of the patients had a very significant difference in the classification of benign and malignant nodules (P<0.001), and the marital status was significantly different (P<0.05). Gender and medical insurance had no significant effect (P>0.05). Thyroglobulin (TG), free thyroxine (FT4), and free triiodothyronine (FT3) had significant effects (P=0.003) on the incidence of malignant nodules in patients, while thyroid-stimulating hormone (TSH) had no significant effect (P>0.05). Ultrasound analysis showed a Youden's index of 78.97%, a positive predictive value of 93.20%, and a negative predicted value of 84.10% at the most excellent classification effect. The sensitivity was 89.0%, the specificity was 89.9%; much greater than the classification model based on the thyroid function test (sensitivity =80.6%, specificity =55.8%).

conclusionsThe present study verifies the effectiveness of using TI-RADS classification for diagnosis of benign and malignant thyroid nodules, and explores the use of new analysis methods for clinical data. To reduce dependence on the doctors, ultrasound image data and clinical phenotypic data can be further used to assist clinical decision making.

Indexed as

Pathologicalthyroidthyroid imaging-reporting and data system (TI-RADS)ultrasound

Identifiers

PMID32775255
PMCPMC7347809
OpenAlexW3015503622

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Textmetadata
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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.