Evidence map›Paper›PMID 39802892›Full record

ArticleChinese journal of cancer research = Chung-kuo yen cheng yen chiu2024

HER2-low status improves prognosis prediction in breast cancer patients receiving neoadjuvant treatment: A comparison of pathological stage, modified CPS+EG scoring system, and Neo-Bioscore.

Yujie Lu, Siji Zhu, Chenghui Wu, Xiaochun Fei, Kunwei Shen, Xiaosong Chen

Abstract read
In one paragraph

Article in Chinese journal of cancer research = Chung-kuo yen cheng yen chiu, 2024. 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. 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

6 authors.

Yujie LuDepartment of General Surgery, Comprehensive Breast Health Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Siji ZhuDepartment of General Surgery, Comprehensive Breast Health Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Chenghui WuDepartment of General Surgery, Comprehensive Breast Health Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Xiaochun FeiDepartment of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Kunwei ShenDepartment of General Surgery, Comprehensive Breast Health Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Xiaosong ChenDepartment of General Surgery, Comprehensive Breast Health Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To explore the prognosis-predictive influence of human epidermal growth factor receptor 2 (HER2)-low status in breast cancer patients after neoadjuvant therapy (NAT). Methods: Consecutive patients with invasive breast cancer who underwent NAT and surgery from January 2009 to December 2020 at multiple centers were included. A modified CPS+EG scoring system that integrates HER2-low status, CPS+EGH Results: A total of 2,141 patients were included: 1,074, 640, and 427 patients in the training, internal validation, and external validation groups, respectively. HER2-low patients had a significantly better breast cancer-specific survival (BCSS, P=0.008) and recurrence-free interval (RFI, P=0.030) compared to HER2-zero patients (P=0.038) but inferior outcomes than HER2-amplified ones (BCSS, P=0.002; RFI, P<0.001). The CPS+EGH Conclusions: HER2-low status showed a significant prognostic value in breast cancer patients after NAT. The CPS+EGH

Indexed as

Breast cancerCPS+EGHlowHER2-lowneoadjuvant therapyprognosis

Identifiers

PMID39802892
PMCPMC11724176

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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.