Evidence map›Paper›PMID 30214216›Full record

ArticleTherapeutics and clinical risk management2018

Diagnostic value of PD-1 mRNA expression combined with breast ultrasound in breast cancer patients.

Jianhua Fang, Yi Shao, Jiezhi Su, Ying Wan, Lingyun Bao, Wei Wang, Fanlei Kong

Abstract read
In one paragraph

Article in Therapeutics and clinical risk management, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Association betweenCancers · 2019
    Article
  4. 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.

Jianhua FangDepartment of Ultrasonography, Hangzhou First People's Hospital, Hangzhou 310006, People's Republic of China, baolingyun976@sina.com.
Yi ShaoDepartment of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang 330006, People's Republic of China.
Jiezhi SuDepartment of Breast and Chest Surgery, The First Affiliated Hospital of Hainan Medical University, Haikou 570102, People's Republic of China.
Ying WanDepartment of Ultrasound, The First Affiliated Hospital of Hainan Medical University, Haikou 570102, People's Republic of China.
Lingyun BaoDepartment of Ultrasonography, Hangzhou First People's Hospital, Hangzhou 310006, People's Republic of China, baolingyun976@sina.com.
Wei WangDepartment of Ultrasonography, Hangzhou First People's Hospital, Hangzhou 310006, People's Republic of China, baolingyun976@sina.com.
Fanlei KongDepartment of Ultrasonography, Hangzhou First People's Hospital, Hangzhou 310006, People's Republic of China, baolingyun976@sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThis study explored the value of measuring programmed death 1 (PD-1) in peripheral blood, combined with breast ultrasound using the Breast Imaging Reporting and Data System (BI-RADS) classification, for differentiation between benign and malignant breast tumors. MATERIALS AND

methodsWe enrolled 113 patients with breast cancer and 66 patients with benign breast tumors who were admitted to Hangzhou First People's Hospital from September 2014 to August 2017. The mRNA level of PD-1 was detected by quantitative real-time polymerase chain reaction.

resultsThe mRNA levels of PD-1 were significantly higher in the peripheral blood of patients with breast cancer than those in patients with benign breast tumors. The diagnostic sensitivity of PD-1 mRNA expression was 0.805, the specificity was 0.788, and the area under the curve (AUC) was 0.848 (

conclusionThis study suggests that the measurement of PD-1 combined with breast ultrasound-based BI-RADS classification represents a significant improvement for breast cancer diagnosis compared with diagnoses based on either method alone.

Indexed as

breast cancerbreast ultrasounddiagnosisPD-1

Identifiers

PMID30214216
PMCPMC6118870

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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.