Evidence map›Paper›PMID 33206330›Full record

ArticleClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2021

Evaluation of color Doppler ultrasound combined with plasma miR-21 and miR-27a in the diagnosis of breast cancer.

M Li, Q Li, Q Yin, Y Wang, J M Shang, L H Wang

Abstract read
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In one paragraph

Article in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 28% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
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  3. Article
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  5. Article
  6. [Ultrasound Multimodality Examination Improves the Diagnostic Efficiency of Non-Mass-Like Breast Lesions].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2024
    Article
  7. Review
  8. Review
  9. miRNAs in Cancer (Review of Literature).International journal of molecular sciences · 2022
    Review
  10. Article
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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

6 authors at 5 institutions in 1 country.

M LiDepartment of Ultrasound, Jinan City People's Hospital, Jinan People's Hospital Affiliated to Shandong First Medical University, Jinan, 271199, China.
Q LiDepartment of Ultrasound, Weifang Traditional Chinese Hospital, Weifang, 261041, China.
Q YinDepartment of Oncology, People's Hospital of Rizhao, Rizhao, 276800, China.
Y WangDepartment of Health Management, The People's Hospital of Zhangqiu Area, Jinan, 250200, China.
J M ShangDepartment of Radiology, The People's Hospital of Zhangqiu Area, Jinan, 250200, China.
L H WangDepartment of Ultrsound, Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong University, 758 Hefei Road, Qingdao, 266035, Shandong, China. hgxh45@163.com.ORCID http://orcid.org/0000-0002-3918-106X
Zhangqiu City People's Hospital · CNJinan City People's Hospital · CNPeople’s Hospital of Rizhao · CNShandong University · CNWeifang Chinese Medicine Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate the clinical value of color Doppler ultrasound combined with plasma miR-21 and miR-27a in the diagnosis of breast cancer (BC).

methods129 patients with BC and 50 patients with benign breast lesions were selected. They were scanned by color Doppler ultrasound on the breast. The relative expression of miR-21 and miR-27a in plasma was detected by real-time fluorescence quantitative PCR. The clinical value of color Doppler ultrasound combined with plasma miR-21 and miR-27a in the diagnosis of BC was analyzed retrospectively.

resultsTwo-dimensional ultrasound images of BC showed irregular shape, unclear boundary, burr-like edge, uneven internal echo, weakened rear echo, microcalcification, aspect ratio > 1 and axillary lymph node metastasis. The grade of blood flow signal was improved, mainly in grade II and above, which was statistically different from that of benign control group (P < 0.001). The relative expression of plasma miR-21 and miR-27a in breast cancer group was significantly higher than that in benign control group (P < 0.001). The relative expressions of plasma miR-21 and miR-27a in breast cancer group were significantly correlated with histological grade, clinical stage, lymph node metastasis and postoperation. The relative expression levels of miR-21 and miR-27a in plasma of patients with low histological grade (grade III), high clinical stage (stage III, IV) and lymph node metastasis before operation were significantly higher than those in patients with high histological grade (grade I, II), low clinical stage (stage I, II) and no lymph node metastasis after operation (P < 0.01). The sensitivity, accuracy and negative predictive value of ultrasound combined with plasma miR-21 and miR-27a in the diagnosis of BC were significantly higher than those of each single examination.

conclusionsColor Doppler ultrasound combined with plasma miR-21 and miR-27a can significantly improve the diagnostic efficiency of BC, which is beneficial to early diagnosis and early clinical intervention.

Indexed as

Ultrasonography, Doppler, ColorAdultAgedAxillaBiomarkers, TumorBreastBreast DiseasesBreast NeoplasmsFemaleHumansLymphatic MetastasisMicroRNAsMiddle AgedNeoplasm GradingNeoplasm StagingRetrospective StudiesBiomarkers, TumorMicroRNAsMIRN21 microRNA, humanMIRN27 microRNA, humanBreast cancerColor Doppler ultrasoundCombined detectionPlasma miR-21 and miR

Identifiers

PMID33206330
OpenAlexW3098052176

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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.