Evidence map›Paper›PMID 34953150›Full record

ArticleJournal of clinical ultrasound : JCU2022

The hidden breast lesions: A case report of bilateral breast cancer.

Chaochao Dai, Lingyun Bao, Yanjuan Tan, Chenxiang Jiang

Open access · hybridAbstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of clinical ultrasound : JCU, 2022. 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
0.1field-weighted citation impact, top 60% 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, 2 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

4 authors at 1 institution in 1 country.

Chaochao DaiDepartment of Ultrasonography, Affiliated Hangzhou First People's Hosptital, Zhejiang University School of Medicine, Hangzhou, China.ORCID https://orcid.org/0000-0001-9892-8357
Lingyun BaoDepartment of Ultrasonography, Affiliated Hangzhou First People's Hosptital, Zhejiang University School of Medicine, Hangzhou, China.ORCID https://orcid.org/0000-0002-4777-982X
Yanjuan TanDepartment of Ultrasonography, Affiliated Hangzhou First People's Hosptital, Zhejiang University School of Medicine, Hangzhou, China.ORCID https://orcid.org/0000-0003-3835-4747
Chenxiang JiangDepartment of Ultrasonography, Affiliated Hangzhou First People's Hosptital, Zhejiang University School of Medicine, Hangzhou, China.ORCID https://orcid.org/0000-0002-0319-2381
Hangzhou First People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bilateral breast cancer (BBC) is rare and is associated with an unfavorable prognosis. Consequently it is crucial to improve diagnostic performance of breast cancer in the clinical setting. We report a case of BBC in a 66-year-old woman and describe the imaging findings, including mammography, hand-held ultrasound, automated breast ultrasound, anatomical intelligence for breast ultrasound (AI-breast), and magnetic resonance imaging. Only AI-breast ultrasound successfully located the two tumors, while other imaging examinations failed to detect the tumor in the right breast.

Indexed as

Breast NeoplasmsAgedBreastFemaleHumansMagnetic Resonance ImagingMammographyUltrasonography, Mammarybreastmagnetic resonance imagingmammographyultrasound

Identifiers

PMID34953150
PMCPMC9302622
OpenAlexW4200491790

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.