Evidence map›Paper›PMID 39698207›Full record

ArticleFrontiers in psychiatry2024

Psychological distress in biliary tract malignancy patients: influencing factors and development of a predictive nomogram model.

Zhennan Gou, Yuhua Liu, Wenjie Tang, Changming Zhou, Zhenqi Lu, Lu Wang, Wei Feng, Weiqi Xu, Jun Wang

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

The trial behind it

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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

3 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

9 authors.

Zhennan GouDepartment of Nursing, Shanghai Cancer Center, Fudan University, Shanghai, China.
Yuhua LiuDepartment of Nursing, Shanghai Cancer Center, Fudan University, Shanghai, China.
Wenjie TangDepartment of Nursing, Shanghai Cancer Center, Fudan University, Shanghai, China.
Changming ZhouDepartment of Cancer Prevention, Shanghai Cancer Center, Fudan University, Shanghai, China.
Zhenqi LuDepartment of Nursing, Shanghai Cancer Center, Fudan University, Shanghai, China.
Lu WangDepartment of Psychological Medicine, Shanghai Cancer Center, Fudan University, Shanghai, China.
Wei FengDepartment of Hepatic Surgery, Shanghai Cancer Center, Fudan University, Shanghai, China.
Weiqi XuDepartment of Psychological Medicine, Shanghai Cancer Center, Fudan University, Shanghai, China.
Jun WangDepartment of Nursing, Shanghai Cancer Center, Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to investigate the psychological distress and its influencing factors in patients with biliary tract malignant tumors, alongside the development of a predictive model. Methods: A total of 219 patients diagnosed with biliary tract malignant tumors who were admitted to the Department of Liver Surgery at Fudan University Shanghai Cancer Center from July 2021 to May 2023, were selected using a convenience sampling method. Research tools involve psychological distress management screening tools, a demographic questionnaire, self-rating anxiety and depression scales, and the Chinese version of the Memorial Symptom Assessment Scale. Bootstrap method was utilized for repeated sampling to identify relevant factors influencing psychological distress in biliary tract cancer patients. The R software was employed to create a nomogram model, and the model's accuracy and predictive performance were assessed using the receiver operating characteristic curve (ROC) and the Hosmer-Lemeshow test. Results: The average score of psychological distress among the 219 patients was (3.91 ± 2.44), with a psychological distress detection rate of 54.8%. Regression model results indicated that factors such as the presence of distant metastasis, comorbidity with other major diseases, poor sleep quality, anxiety, and severity of anxiety and depression were the primary influencers of psychological distress. Conclusion: The detection rate of psychological distress in patients with biliary tract malignant tumors is notably high. The predictive model constructed in this study exhibits good predictive efficacy and clinical value, providing valuable reference for healthcare professionals in developing targeted intervention strategies.

Indexed as

biliary tract cancermodel validationnomogramprediction modelpsychological distresspsycho-oncology

Identifiers

PMID39698207
PMCPMC11652499

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