Evidence map›Paper›PMID 41102355›Full record

ArticleScientific reports2025

Impact of neoadjuvant and adjuvant chemotherapy on breast cancer prognosis in a propensity score matched population.

Ying Xu, Bowen Liu, Chang Chen, Feng Mao, Songjie Shen, Xiaohui Zhang, Xin Huang, Yan Lin, Yidong Zhou, Qiang Sun

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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
–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

2 citing papers in PubMed.

  1. Review
  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

10 authors.

Ying Xu *Department of Breast Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuaifuyuan, Dongcheng District, Beijing, 100730, China.
Bowen Liu *Department of Breast Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuaifuyuan, Dongcheng District, Beijing, 100730, China.
Chang Chen *Department of Breast Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuaifuyuan, Dongcheng District, Beijing, 100730, China.
Feng MaoDepartment of Breast Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuaifuyuan, Dongcheng District, Beijing, 100730, China.
Songjie ShenDepartment of Breast Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuaifuyuan, Dongcheng District, Beijing, 100730, China.
Xiaohui ZhangDepartment of Breast Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuaifuyuan, Dongcheng District, Beijing, 100730, China.
Xin HuangDepartment of Breast Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuaifuyuan, Dongcheng District, Beijing, 100730, China.
Yan LinDepartment of Breast Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuaifuyuan, Dongcheng District, Beijing, 100730, China. bird90@163.com.
Yidong ZhouDepartment of Breast Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuaifuyuan, Dongcheng District, Beijing, 100730, China. zhouyd@pumch.cn.
Qiang SunDepartment of Breast Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuaifuyuan, Dongcheng District, Beijing, 100730, China. sunqiangpumch@yeah.net.

Funding

National High Level Hospital Clinical Research Funding 2022-PUMCH-C-066
6 · The paper itself

Abstract

Breast cancer is the most common cancer among women worldwide. To evaluate the real-world effectiveness of Neo-adjuvant chemotherapy (NACT) and adjuvant chemotherapy (ACT), we conducted a retrospective study comparing their impact on breast cancer prognosis. We retrieved data from the SEER database. We applied propensity score matching (PSM) to minimize confounding factors. Breast-cancer specific survival (BCSS) and overall survival (OS) were compared between the two groups. We also developed a nomogram prognostic model using clinicopathological parameters to predict survival rates. We identified 46,447 eligible patients in the SEER database. After PSM, 9,025 patients were included in each group, with 11,762 patients receiving NACT and 34,685 undergoing ACT before PSM. In the PSM cohort, the 5-year BCSS and OS were 88.3% (95% CI: 87.6-89.0%) and 85.7% (95% CI: 84.9-86.5%) for the NACT group, respectively. Notably, patients in the ACT group showed significantly better survival prognosis compared to those in the NACT group. We also developed nomograms to predict the 3-year, 5-year, and 8-year OS and BCSS rates for patients receiving NACT or ACT. Breast cancer patients who undergo surgery followed by ACT have a more favorable prognosis compared to those receiving NACT before surgery.

Indexed as

Breast NeoplasmsNeoadjuvant TherapyAdultAgedChemotherapy, AdjuvantFemaleHumansMiddle AgedNomogramsPrognosisPropensity ScoreRetrospective StudiesSEER ProgramSurvival RateACTNACTNomogramPrognosisPSM

Identifiers

PMID41102355
PMCPMC12533238

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Registered trials

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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.