Evidence map›Paper›PMID 42230653›Full record

ArticleNPJ breast cancer2026

Diagnostic Performance of

Siji Zhu, Yihua Jin, Chao Hu, Yanli Fan, Xiaochun Fei, Jiajia Hu, Xiaosong Chen

Abstract read
In one paragraph

Article in NPJ breast cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Prospective comparison of [European journal of nuclear medicine and molecular imaging · 2026
    Trial
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.

Siji Zhu *Department of General Surgery, Comprehensive Breast Health Center, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
Yihua Jin *Department of General Surgery, Comprehensive Breast Health Center, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
Chao Hu *Department of General Surgery, Comprehensive Breast Health Center, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
Yanli Fan *Department of Nuclear Medicine, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
Xiaochun FeiDepartment of Pathology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
Jiajia HuDepartment of Nuclear Medicine, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China. jiajiahu@shsmu.edu.cn.ORCID http://orcid.org/0000-0002-6221-8748
Xiaosong ChenDepartment of General Surgery, Comprehensive Breast Health Center, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China. chenxiaosong0156@hotmail.com.ORCID http://orcid.org/0000-0002-3286-0035

Funding

National Natural Science Foundation of China 82171976National Natural Science Foundation of China 82573726Science and Technology Commission of Shanghai Municipality 23ZR1439500Science and Technology Commission of Shanghai Municipality Shanghai Pujiang Program (21PJD042)Shanghai Jiao Tong University YG2024QNB05Shanghai Municipal Education Commission SHSMU-ZDCX20212200Shanghai Municipal Health Commission Shanghai "New Star of Medical Field" for Youth Medical Talents (2021)
6 · The paper itself

Abstract

Accurate pathological response assessment of breast cancer following neoadjuvant therapy (NAT) is clinically critical but lacks robust imaging methods, so this study evaluated the diagnostic accuracy of

Identifiers

PMID42230653
PMCPMC13534706

What OpenQuestion holds

Textmetadata
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.