Evidence map›Paper›PMID 38751541›Full record

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

Narrative review of current status and recommendations in treatment for advanced triple-negative breast cancer.

Yan Zhou, Jin Yang

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 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

2 authors.

Yan ZhouDepartment of Medical Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Jin YangDepartment of Medical Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.ORCID https://orcid.org/0000-0002-2538-5176

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objective: The encouraging results of clinical trials for triple-negative breast cancer (TNBC) patients in recent years have gradually formed a system for the therapeutic regimen. As immunotherapy and precision therapy based on biomarkers have brought a new era to TNBC, it has become more crucial for clinicians to update the recommended treatment regimens for advanced TNBC patients. Methods: We searched literatures related to the treatment for advanced TNBC from 2014 to 2022 on PubMed and sorted out them. In addition, the 2021-2022 guidelines in the part of treatment for advanced TNBC were downloaded on the official website of the guidelines referred to, which were summarized meanwhile. Key Content and Findings: We summarized the current status of treatment for advanced TNBC from four aspects: immunotherapy, targeted therapy, antibody-drug conjugates (ADC) drug therapy and chemotherapy. The recommended therapeutic principles for the aspect of advanced TNBC in 2022 Chinese Society of Clinical Oncology (CSCO) guidelines were proposed in combination with international guidelines and conference recommendations. Conclusions: It was emphasized that the detection and evaluation of biomarkers or targeting molecules should be the basis for choosing therapeutic regimens in this review and clinicians are supposed to accurately screen the population to achieve better treatment outcomes and prognosis for patients with advanced TNBC.

Indexed as

Advanced triple-negative breast cancer (advanced TNBC)antibody-drug conjugates (ADC) drug therapybiomarkersimmunotherapytargeted therapy

Identifiers

PMID38751541
PMCPMC11093051

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.