Evidence map›Paper›PMID 38751519›Full record

ReviewTranslational breast cancer research : a journal focusing on translational research in breast cancer2022

Thoughts on therapy strategy in the era of "after anti-HER2 TKI" in CSCO BC Guidelines 2022.

Li Bian, Feng Li, Zefei Jiang

Abstract readReview
In one paragraph

Review in Translational breast cancer research : a journal focusing on translational research in breast cancer, 2022. 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. Article
  2. Review
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

3 authors.

Li BianDepartment of Oncology, The Fifth Medical Center of Chinese PLA General Hospital, Beijing, China.
Feng LiDepartment of Oncology, The Fifth Medical Center of Chinese PLA General Hospital, Beijing, China.
Zefei JiangDepartment of Oncology, The Fifth Medical Center of Chinese PLA General Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Treatment of breast cancer (BC) is becoming stratified on the basis of classified treatment. Different from trastuzumab emtansine (T-DM1) as 2nd-line anti-human epidermal growth factor receptor 2 (HER2) treatment is recommended by foreign guidelines and clinical practice, more patients in China are receiving anti-HER2 tyrosine kinase inhibitor (TKI) as 2nd-line anti-HER2 targeted therapy for metastatic BC, which raises the issue of subsequent targeted therapy after TKI failure, the preferred regimen and how to optimize it. Evidence from high-quality randomized controlled clinical trials is lacking up to now, but in clinical practice this stratified subgroup patients need to be treated. Failure to TKI treatment is first described in the Chinese Society of Clinical Oncology Breast Cancer (CSCO BC) Guidelines 2022, based on existing clinical trials data, real-world research data and expert opinions on HER2-positive metastatic BC, although there are no Level I recommendations and Level II options include anti-HER2 antibody-drug conjugate (ADC) (2A evidence), pertuzumab and trastuzumab plus other (non-taxane) chemotherapy (2A evidence), switching to another TKI plus chemotherapy (2A evidence) and entering strictly designed clinical trials. In the era of "after anti-HER2 TKI", there will be more results of randomized controlled clinical trials and real-world researches as evidences to guide the therapy in the future, and clinicians must ensure accurate classification and precise stratification of patients to deliver optimized, precise subsequent therapy.

Indexed as

after anti-HER2 TKICSCO BC Guidelines 2022Metastatic breast cancer (mBC)new therapy stratification

Identifiers

PMID38751519
PMCPMC11093009

What OpenQuestion holds

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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.