Chrome Extension
WeChat Mini Program
Use on ChatGLM

Acquired immunodeficiency syndrome-related lymphoma in the era of highly active antiretroviral therapy.

Clinical Lymphoma(2003)

Department of Oncology | Address for correspondence: Mark Bower

Cited 50|Views6
Abstract
The treatment and outcome of human immunodeficiency virus (HIV) infection altered dramatically in the mid-1990s with the introduction of highly active antiretroviral therapy (HAART). Highly active antiretroviral therapy, where available, has led to a dramatic decline in mortality from HIV and a decrease in the incidence of opportunistic infections and Kaposi sarcoma. This article addresses the effects that HAART has had on acquired immunodeficiency syndrome (AIDS)–related non-Hodgkin's lymphoma (NHL). Metaanalysis of numerous cohort studies confirmed that the incidence of AIDS-related NHL has decreased since the advent of HAART. This decline is most marked for primary cerebral lymphomas and systemic immunoblastic lymphoma but has not been demonstrated for Burkitt lymphoma. In addition to genetic predisposing factors, age, nadir CD4 cell count, and lack of HAART therapy predict the development of NHL. The clinical presentation of AIDS-related NHL has not changed, but several institutions have reported an improvement in survival since the introduction of HAART. Moreover, HAART has been combined safely with systemic chemotherapy in the management of NHL, and this approach results in a more modest decrease in immune function than when chemotherapy is administered alone. This has led to a more aggressive approach to the management of AIDS-related NHL and response rates and overall survival durations that are approaching those seen in stage-matched high-grade lymphomas in the immunocompetent population.
More
Translated text
Key words
Cerebral lymphoma,CHOP chemotherapy,HIV,Kaposi sarcoma,mBACOD chemotherapy,Non-Hodgkin's lymphoma
求助PDF
上传PDF
Bibtex
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
  • Pretraining has recently greatly promoted the development of natural language processing (NLP)
  • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
  • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
  • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
  • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Related Papers

Outcome of Poor Prognostic Phenotype Non-Hodgkin’s Lymphoma Treatment in Relation to Human Immunodeficiency Virus Serostatus

N. Anthony Othieno Abinya,G. Wanjiru Kiarie, H. Otieno Abwao,Y. Bill Mlombe,R. Omollo
Journal africain du cancer / African Journal of Cancer 2009

被引用1

Retrovirus-Induced Immunodeficiency And Cancer

RETROVIRUSES AND INSIGHTS INTO CANCER 2011

被引用2

Oral manifestations associated with HIV infection

Current HIV/AIDS reports 2008

被引用62

Update in HIV-associated lymphoma.

CURRENT OPINION IN ONCOLOGY 2004

被引用11

Biology and Treatment of Burkitt's Lymphoma.

Current opinion in hematology 2007

被引用130

Epidemiology of Aids Defining Conditions in Greece.

Central European journal of public health 2004

被引用25

Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper
GPU is busy, summary generation fails
Rerequest