Evidence map›Paper›PMID 32843902›Full record

ArticleTherapeutic advances in medical oncology2020

Prediction of cervical lymph node metastasis with contrast-enhanced ultrasound and association between presence of BRAF

Jia Zhan, Long-Hui Zhang, Qing Yu, Chao-Lun Li, Yue Chen, Wen-Ping Wang, Hong Ding

Open access · goldAbstract read
In one paragraph

Article in Therapeutic advances in medical oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.8field-weighted citation impact, top 8% 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

22 citing papers in PubMed, 34 citations in OpenAlex.

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  16. Integrating BRAFBMC cancer · 2022
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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

7 authors at 1 institution in 1 country.

Jia ZhanDepartment of Ultrasound, Huadong Hospital, Fudan University, Shanghai P.R. China.ORCID https://orcid.org/0000-0002-2179-4095
Long-Hui ZhangDepartment of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, P.R. China.
Qing YuDepartment of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, P.R. China.
Chao-Lun LiDepartment of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, P.R. China.
Yue ChenDepartment of Ultrasound, Huadong Hospital, Fudan University, Shanghai P.R. China.
Wen-Ping WangDepartment of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, P.R. China.
Hong DingDepartment of Ultrasound, Zhongshan Hospital, Fudan University, Fenglin Road No.180, Shanghai, 200032, P.R. China.
Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to evaluate the correlation between cervical lymph node metastasis (CLNM) and each of the ultrasound features, immunohistochemical factors, and B-type Raf (BRAF

methodsA retrospective analysis was performed on 405 patients with single papillary thyroid carcinoma (PTC) nodules, all of whom underwent preoperative sonographic examinations, including gray-scale ultrasound, color Doppler ultrasound, and contrast-enhanced ultrasound (CEUS). All PTC patients were evaluated using 14 clinical and sonographic features, eight immunohistochemical factors, and BRAF

resultsAmong the 405 PTC nodules removed surgically, CLNM was confirmed in 138 patients, whereas extrathyroidal extension was confirmed in 185 patients. Multivariate analyses indicated significant differences between CLNM and non-CLNM groups in three conventional ultrasound features (

conclusionIntensity at peak time, homogeneity, and size are the three most significant features in predicting CLNM in PTC patients, and the presence of the BRAF

Indexed as

BRAF genecontrast-enhanced ultrasoundextrathyroidal extensionlymph node metastasispapillary thyroid carcinoma

Identifiers

PMID32843902
PMCPMC7418479
OpenAlexW3047901024

What OpenQuestion holds

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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.