Evidence map›Paper›PMID 39165551›Full record

ArticleWorld journal of psychiatry2024

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

Jie Chen, Jian-Fei Zhang, Xia Xiao, Yu-Jun Tang, He-Jin Huang, Wen-Wen Xi, Li-Na Liu, Zheng-Zhou Shen, Jian-Hua Tan, Feng Yang

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Article in World journal of psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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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

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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

2 citing papers in PubMed.

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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

10 authors.

Jie ChenDepartment of Burns and Plastic Surgery, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang 421001, Hunan Province, China.
Jian-Fei ZhangDepartment of Burns and Plastic Surgery, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang 421001, Hunan Province, China.
Xia XiaoDepartment of Burns and Plastic Surgery, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang 421001, Hunan Province, China.
Yu-Jun TangDepartment of Burns and Plastic Surgery, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang 421001, Hunan Province, China.
He-Jin HuangDepartment of Burns and Plastic Surgery, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang 421001, Hunan Province, China.
Wen-Wen XiDepartment of Burns and Plastic Surgery, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang 421001, Hunan Province, China.
Li-Na LiuDepartment of Burns and Plastic Surgery, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang 421001, Hunan Province, China.
Zheng-Zhou ShenDepartment of Beauty Surgery, Nantong Shenmei Medical Beauty Clinic, Nantong 226001, Jiangsu Province, China.
Jian-Hua TanDepartment of Respiratory and Critical Care Medicine, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang 421001, Hunan Province, China.
Feng YangDepartment of Burns and Plastic Surgery, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang 421001, Hunan Province, China. yangf@fsyy.usc.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPost-burn anxiety and depression affect considerably the quality of life and recovery of patients; however, limited research has demonstrated risk factors associated with the development of these conditions.

aimTo predict the risk of developing post-burn anxiety and depression in patients with non-mild burns using a nomogram model.

methodsWe enrolled 675 patients with burns who were admitted to The Second Affiliated Hospital, Hengyang Medical School, University of South China between January 2019 and January 2023 and met the inclusion criteria. These patients were randomly divided into development (

resultsFemale sex, age < 33 years, unmarried status, burn area ≥ 30%, and burns on the head, face, and neck were independent risk factors for developing post-burn anxiety and depression in patients with non-mild burns. The nomogram model demonstrated predictive accuracies of 0.937 and 0.984 for anxiety and 0.884 and 0.923 for depression in the development and validation sets, respectively, and good predictive performance. Calibration and decision curve analyses confirmed the clinical utility of the nomogram.

conclusionThe 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.

Indexed as

BurnDepressionNomogram modelPost-burn anxietyRisk prediction

Identifiers

PMID39165551
PMCPMC11331381

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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.