Prognostic factors and predictive models for primary pulmonary diffuse large B-cell lymphoma: a population-based analysis

This study is the first large population-based clinical data study on PP-DLBCL. A novel predictive model about prognosis has been developed to help clinical decision-making.

Authors

Institutions

Publication Details

Journal
Hematology
Published
2024-10-28
DOI
https://doi.org/10.1080/16078454.2024.2420160
Citations
1
Primary Topic
Lymphoma Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.42
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Prognostic factors and predictive models for primary pulmonary diffuse large B-cell lymphoma: a population-based analysis

Qian Huang, Zhiping Deng, Xiaoyu He, Qun Lai et al.
1 citations
Hematology
Lymphoma Diagnosis and Treatment
0.42
article

Prognostic factors and predictive models for primary pulmonary diffuse large B-cell lymphoma: a population-based analysis

Qian Huang, Zhiping Deng, Xiaoyu He, Qun Lai, Maoliang Tian, Wenqiang Li, Qian He
article en
1 citations

Abstract

This study is the first large population-based clinical data study on PP-DLBCL. A novel predictive model about prognosis has been developed to help clinical decision-making.

HematologyVol. 29(1)
North Sichuan Medical University (CN), Jilin University (CN), Sichuan University (CN), West China Second University Hospital of Sichuan University (CN), First Hospital of Jilin University (CN), Zigong First People's Hospital (CN), Dazhou Central Hospital (CN)
Openalex Percentile: Top 34%
Lymphoma Diagnosis and Treatment
0.42
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.