Evidence map›Paper›PMID 31937819›Full record

ArticleScientific reports2020

The prognostic and predictive potential of Ki-67 in triple-negative breast cancer.

Xiuzhi Zhu, Li Chen, Binhao Huang, Yue Wang, Lei Ji, Jiong Wu, Genhong Di, Guangyu Liu, Keda Yu, Zhimin Shao and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 97 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
97citing papers in PubMed, 1 pooled it
9.5field-weighted citation impact, top 1% 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

97 citing papers in PubMed, 1 synthesis or guideline pooled it, 180 citations in OpenAlex.

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  18. Targeting low-risk triple-negative breast cancer: a review on de-escalation strategies for a new era.Translational breast cancer research : a journal focusing on translational research in breast cancer · 2025
    Review
  19. Review
  20. Article

37 more citing papers are in PubMed but not listed here.

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

11 authors at 1 institution in 1 country.

Xiuzhi ZhuDepartment of Oncology, Shanghai Medical College, Fudan University, 130 Dong-An Road, Shanghai, 200032, P.R. China.ORCID http://orcid.org/0000-0003-3356-9319
Li ChenDepartment of Oncology, Shanghai Medical College, Fudan University, 130 Dong-An Road, Shanghai, 200032, P.R. China.
Binhao HuangDepartment of Oncology, Shanghai Medical College, Fudan University, 130 Dong-An Road, Shanghai, 200032, P.R. China.
Yue WangDepartment of Oncology, Shanghai Medical College, Fudan University, 130 Dong-An Road, Shanghai, 200032, P.R. China.
Lei JiDepartment of Oncology, Shanghai Medical College, Fudan University, 130 Dong-An Road, Shanghai, 200032, P.R. China.
Jiong WuDepartment of Oncology, Shanghai Medical College, Fudan University, 130 Dong-An Road, Shanghai, 200032, P.R. China.
Genhong DiDepartment of Oncology, Shanghai Medical College, Fudan University, 130 Dong-An Road, Shanghai, 200032, P.R. China.
Guangyu LiuDepartment of Oncology, Shanghai Medical College, Fudan University, 130 Dong-An Road, Shanghai, 200032, P.R. China.
Keda YuDepartment of Oncology, Shanghai Medical College, Fudan University, 130 Dong-An Road, Shanghai, 200032, P.R. China.
Zhimin ShaoDepartment of Oncology, Shanghai Medical College, Fudan University, 130 Dong-An Road, Shanghai, 200032, P.R. China.
Zhonghua WangDepartment of Oncology, Shanghai Medical College, Fudan University, 130 Dong-An Road, Shanghai, 200032, P.R. China. zhonghuawang95@hotmail.com.
Shanghai Medical College of Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a cell proliferation biomarker, Ki-67 is principally used in ER+/HER2- breast cancer. However, the importance and the best cutoff point of Ki-67 in triple-negative breast cancer (TNBC) remains unclear and was evaluated in this study.A total of 1800 patients with early invasive TNBC between 2011 and 2016 at Fudan University Shanghai Cancer Center were consecutively recruited for this study. The optimal cutoff for Ki-67 was assessed by Cutoff Finder. Propensity score matching (PSM, ratio = 1:2) was performed to match the Ki-67

Indexed as

AdolescentAdultAgedBiomarkers, TumorChemotherapy, AdjuvantFemaleFollow-Up StudiesHumansKi-67 AntigenMiddle AgedPrognosisSurvival RateTriple Negative Breast NeoplasmsYoung AdultBiomarkers, TumorKi-67 Antigen

Identifiers

PMID31937819
PMCPMC6959292
OpenAlexW2999521665

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.