Evidence map›Paper›PMID 31209686›Full record

ReviewBreast cancer research and treatment2019

Breast leptomeningeal disease: a review of current practices and updates on management.

Nicholas B Figura, Victoria T Rizk, Avan J Armaghani, John A Arrington, Arnold B Etame, Hyo S Han, Brian J Czerniecki, Peter A Forsyth, Kamran A Ahmed

Abstract readReview
PubMed Publisher
In one paragraph

Review in Breast cancer research and treatment, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 8% of its field
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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. A systematic review of craniospinal irradiation for leptomeningeal disease: past, present, and future.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2021
    Pooled it
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  19. A round table discussion: clinical landscape of trastuzumab deruxtecan in breast cancer: a retrospective and prospective view.Translational breast cancer research : a journal focusing on translational research in breast cancer · 2022
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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

9 authors at 2 institutions in 1 country.

Nicholas B FiguraDepartment of Radiation Oncology, H. Lee Moffitt Cancer Center and Research Institute, 12902 Magnolia Dr., Tampa, FL, 33612, USA.
Victoria T RizkMorsani College of Medicine, University of South Florida, Tampa, FL, 33612, USA.
Avan J ArmaghaniDepartment of Breast Oncology, H. Lee Moffitt Cancer Center and Research Institute, 12902 Magnolia Dr., Tampa, FL, 33612, USA.
John A ArringtonDepartment of Radiology, H. Lee Moffitt Cancer Center and Research Institute, 12902 Magnolia Dr., Tampa, FL, 33612, USA.
Arnold B EtameDepartment of Neuro-Oncology, H. Lee Moffitt Cancer Center and Research Institute, 12902 Magnolia Dr., Tampa, FL, 33612, USA.
Hyo S HanDepartment of Breast Oncology, H. Lee Moffitt Cancer Center and Research Institute, 12902 Magnolia Dr., Tampa, FL, 33612, USA.
Brian J CzernieckiDepartment of Breast Oncology, H. Lee Moffitt Cancer Center and Research Institute, 12902 Magnolia Dr., Tampa, FL, 33612, USA.
Peter A ForsythDepartment of Neuro-Oncology, H. Lee Moffitt Cancer Center and Research Institute, 12902 Magnolia Dr., Tampa, FL, 33612, USA. peter.forsyth@moffitt.org.
Kamran A AhmedDepartment of Radiation Oncology, H. Lee Moffitt Cancer Center and Research Institute, 12902 Magnolia Dr., Tampa, FL, 33612, USA. kamran.ahmed@moffitt.org.ORCID http://orcid.org/0000-0003-3331-1529
Moffitt Cancer Center · USUniversity of South Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeLeptomeningeal disease (LMD) is an advanced metastatic disease presentation portending a poor prognosis with minimal treatment options. The advent and widespread use of new systemic therapies for metastatic breast cancer has improved systemic disease control and extended survival; however, as patients live longer, the rates of breast cancer LMD are increasing.

methodsIn this review, a group of medical oncologists, radiation oncologists, radiologists, breast surgeons, and neurosurgeons specializing in treatment of breast cancer reviewed the available published literature and compiled a comprehensive review on the current state of breast cancer LMD.

resultsWe discuss the pathogenesis, epidemiology, diagnosis, treatment options (including systemic, intrathecal, surgical, and radiotherapy treatment modalities), and treatment response evaluation specific to breast cancer patients. Furthermore, we discuss the controversies within this unique clinical setting and identify potential clinical opportunities to improve upon the diagnosis, treatment, and treatment response evaluation in the management of breast LMD.

conclusionsWe recognize the shortcomings in our current understanding of the disease and explore the future role of genomic/molecular disease characterization, technological innovations, and ongoing clinical trials attempting to improve the prognosis for this advanced disease state.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsBreast DiseasesCombined Modality TherapyDiagnostic ImagingDisease ManagementFemaleHumansInjections, SpinalMeningeal CarcinomatosisMolecular Targeted TherapyPalliative CarePractice Patterns, Physicians'PrognosisTreatment OutcomeBreast cancerIntrathecal chemotherapyIntrathecal trastuzumabLeptomeningeal carcinomatosisLeptomeningeal diseaseNeoplastic meningitis

Identifiers

PMID31209686
OpenAlexW2951174870

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.