Evidence map›Paper›PMID 29108347›Full record

ArticleOncotarget2017

Mammography and ultrasound effective features in differentiating basal-like and normal-like subtypes of triple negative breast cancer.

Zeng Zeng, Chun Jie Hou, Qiao Hong Hu, Ying Liu, Ceng Wang, Ran Wei, Xiao Ming Fan

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 49% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
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.

Zeng ZengDepartment of Ultrasound, Zhejiang Provincial People's Hospital, Hangzhou, Zhejiang, China.
Chun Jie HouDepartment of Ultrasound, Zhejiang Provincial People's Hospital, Hangzhou, Zhejiang, China.
Qiao Hong HuDepartment of Ultrasound, Zhejiang Provincial People's Hospital, Hangzhou, Zhejiang, China.
Ying LiuDepartment of Ultrasound, Zhejiang Provincial People's Hospital, Hangzhou, Zhejiang, China.
Ceng WangDepartment of Ultrasound, Zhejiang Provincial People's Hospital, Hangzhou, Zhejiang, China.
Ran WeiDepartment of Ultrasound, Zhejiang Provincial People's Hospital, Hangzhou, Zhejiang, China.
Xiao Ming FanDepartment of Ultrasound, Zhejiang Provincial People's Hospital, Hangzhou, Zhejiang, China.
Zhejiang Provincial People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of our study was to find effective features of mammography and ultrasound in differentiating Basal-like breast cancer (BBC) and Normal-like breast cancer (NBC), two subtypes of triple negative breast cancer (TNBC). From January 2014 to March 2017, we retrospectively reviewed 91 patients who were pathologically confirmed as TNBC. According to immunohistochemical cytokeratin 5/6 (CK5/6) and Epidermal Growth Factor Receptor (EGFR), TNBCs were classified into BBCs group and NBCs group. Both CK5/6 and EGFR were negative defined to be NBC, whereas if any of CK5/6 or EGFR was positive then defined as BBC. BBCs group concluded 65 (71.4%) cases and NBCs group concluded26 (28.6%) cases. Ultrasound images and mammograms were reevaluated by breast imaging experts according to the breast imaging reporting and data system (BI-RADS) 4th edition. On mammography, masses margins had significant differences between BBCs group and NBCs group (

Indexed as

mammographytriple negative breast cancerultrasound

Identifiers

PMID29108347
PMCPMC5668080
OpenAlexW2729778890

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.