Evidence map›Paper›PMID 37545613›Full record

ArticleOncology letters2023

Severe cytopenia during adjuvant chemotherapy for early breast cancer in a patient with idiopathic CD4+ lymphocytopenia.

Kaito Mimura, Akihiko Shimomura, Koji Watanabe, Hanako Koda, Kanako Nakayama, Dai Kitagawa, Chikako Shimizu

Abstract read
In one paragraph

Article in Oncology letters, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Kaito MimuraDepartment of Breast and Medical Oncology, National Center for Global Health and Medicine, Tokyo 162-8655, Japan.
Akihiko ShimomuraDepartment of Breast and Medical Oncology, National Center for Global Health and Medicine, Tokyo 162-8655, Japan.
Koji WatanabeAIDS Clinical Center, National Center for Global Health and Medicine, Tokyo 162-8655, Japan.
Hanako KodaDepartment of Surgery, National Center for Global Health and Medicine, Tokyo 162-8655, Japan.
Kanako NakayamaDepartment of Breast Surgical Oncology, National Center for Global Health and Medicine, Tokyo 162-8655, Japan.
Dai KitagawaDepartment of Breast Surgical Oncology, National Center for Global Health and Medicine, Tokyo 162-8655, Japan.
Chikako ShimizuDepartment of Breast and Medical Oncology, National Center for Global Health and Medicine, Tokyo 162-8655, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Idiopathic CD4+ lymphocytopenia (ICL) is a rare immunodeficiency disorder characterized by decreased CD4+ T-cell counts in the absence of human immunodeficiency virus (HIV) infection. Similar to HIV infection, ICL is commonly associated with acquired immunodeficiency syndrome-defining cancers, such as Kaposi sarcoma, non-Hodgkin lymphoma and cervical cancer; however, the presentation of breast cancer in a patient with ICL is rare. The current study presented the clinical course of a patient with early breast cancer and ICL. Following surgery, the patient underwent adjuvant chemotherapy comprising doxorubicin plus cyclophosphamide, followed by paclitaxel. The patient's immunodeficiency status required the prophylactic administration of clarithromycin, trimethoprim-sulfamethoxazole and valganciclovir. Throughout the course of chemotherapy, the patient experienced severe complications of febrile neutropenia, anemia, neutropenia and thrombocytopenia, and was eventually forced to discontinue anticancer chemotherapy, as the relative dose intensity (RDI) could not be maintained. Similar hematological complications and reduced RDI, leading to worse outcomes, are also common in patients with HIV infection receiving chemotherapy, suggesting that CD4+ T cell-deficient patients are prone to developing cytopenia during chemotherapy. The present study demonstrates the importance of further data accumulation in patients with ICL with cancer and the development of a methodology for maintaining the RDI.

Indexed as

acquired immunodeficiency syndromeanemiafebrile neutropeniahuman immunodeficiency virusimmunodeficiencyneutropeniaopportunistic infectionrelative dose intensitythrombopenia

Identifiers

PMID37545613
PMCPMC10398621

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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.