Evidence map›Paper›PMID 39904891›Full record

ReviewHuman vaccines & immunotherapeutics2025

Research trends of neoadjuvant therapy for breast cancer: A bibliometric analysis.

Laiping Xie, Yuhang Wang, Andi Wan, Lin Huang, Qing Wang, Wanyan Tang, Xiaowei Qi, Xiaofei Hu

Abstract readReview
In one paragraph

Review in Human vaccines & immunotherapeutics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. [Artificial intelligence in predicting pathological complete response to neoadjuvant chemotherapy for breast cancer: current advances and challenges].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2025
    Review
  6. Peripheral TNF-α and CD8Breast cancer (Dove Medical Press) · 2025
    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

8 authors.

Laiping XieDepartment of Nuclear Medicine, Southwest Hospital, Army Medical University, Chongqing, China.
Yuhang WangDepartment of Gastroenterology, Beijing Children's Hospital, Capital Medical University, Beijing, China.
Andi WanDepartment of Breast and Thyroid Surgery, Southwest Hospital, Army Medical University, Chongqing, China.
Lin HuangDepartment of Radiology, People's Hospital of Xingyi, Guizhou, China.
Qing WangInstitute of Medical Information, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Wanyan TangDepartment of Oncology, Chongqing Hospital of Traditional Chinese Medicine, Chongqing, China.
Xiaowei QiDepartment of Breast and Thyroid Surgery, Southwest Hospital, Army Medical University, Chongqing, China.
Xiaofei HuDepartment of Nuclear Medicine, Southwest Hospital, Army Medical University, Chongqing, China.ORCID 0000-0001-5376-2779

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The approach of neoadjuvant therapy for breast cancer, which involves administering systemic treatment prior to primary surgery, has undergone substantial advancements in recent decades. This strategy is intended to reduce tumor size, thereby enabling less invasive surgical procedures and enhancing patient outcomes. This study presents a comprehensive bibliometric analysis of research trends in neoadjuvant therapy for breast cancer from 2009 to 2024. Using data extracted from the Web of Science Core Collection, a total of 3,674 articles were analyzed to map the research landscape in this field. The analysis reveals a steady increase in publication output, peaking in 2022, with the United States and China identified as the leading contributors. Key institutions, such as the University of Texas System and MD Anderson Cancer Center, have been instrumental in advancing the research on neoadjuvant therapy. The study also highlights the contributions of influential authors like Sibylle Loibl and Gunter von Minckwitz, as well as major journals such as the Journal of Clinical Oncology. Emerging research topics, including immunotherapy, liquid biopsy, and artificial intelligence, are gaining prominence and represent potential future directions for clinical applications. This bibliometric analysis provides critical insights into global research trends, key contributors, and future developments in the field of neoadjuvant therapy for breast cancer, offering a foundation for future research and clinical practice advancements.

Indexed as

BibliometricsBiomedical ResearchBreast NeoplasmsNeoadjuvant TherapyFemaleHumansImmunotherapyartificial intelligencebibliometric analysisbreast cancerimmunotherapyNeoadjuvant therapypathological complete responseresearch trends

Identifiers

PMID39904891
PMCPMC11801352

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.