Nomogram for predicting the risk of anxiety and depression in patients with non-mild burns

The nomogram model predicted the risk of post-burn anxiety and depression in patients with non-mild burns, facilitating the early identification of high-risk patients for intervention and treatment.

Authors

Institutions

Publication Details

Journal
World Journal of Psychiatry
Published
2024-08-12
DOI
https://doi.org/10.5498/wjp.v14.i8.1233
Citations
2
Primary Topic
Burn Injury Management and Outcomes
Type
article
Field-Weighted Citation Impact
0.77
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Nomogram for predicting the risk of anxiety and depression in patients with non-mild burns

Yujun Tang, Lina Liu, Jie Chen, Jianfei Zhang et al.
2 citations
World Journal of Psychiatry
Burn Injury Management and Outcomes
0.77
article

Nomogram for predicting the risk of anxiety and depression in patients with non-mild burns

Yujun Tang, Lina Liu, Jie Chen, Jianfei Zhang, Xia Xiao, He-Jin Huang, Jian-Hua Tan, Feng Yang, Wen-Wen Xi, Zheng-Zhou Shen
article en
2 citations

Abstract

The nomogram model predicted the risk of post-burn anxiety and depression in patients with non-mild burns, facilitating the early identification of high-risk patients for intervention and treatment.

World Journal of PsychiatryVol. 14(8)
Nantong University (CN), University of South China (CN)
Openalex Percentile: Top 26%
Burn Injury Management and Outcomes
0.77
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.