ArticleInternational journal of general medicine2022
Nomogram to Predict the Risk of Postoperative Anxiety and Depression in Colorectal Cancer Patients.
Article in International journal of general medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.
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Who cites it
7 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Global research trends on gastrointestinal cancer and mental health (2004-2024): a bibliographic study.Frontiers in medicine · 2025Pooled it
- Prevalence of depression and its potential contributing factors in patients with enterostomy: A meta-analytical review.Frontiers in psychiatry · 2022Pooled it
- Cumulative Surgeon Experience and Anastomotic Leakage After Left-Sided and Segmental Colorectal Resection with Primary Anastomosis: A Seven-Year Single-Center Retrospective Study.Medicina (Kaunas, Lithuania) · 2026Observational
- Factors associated with anxiety in colorectal cancer survivors: a scoping review.Journal of cancer survivorship : research and practice · 2026Article
- The correlation of vaginal flora and anxiety in perimenopause women: a prospective study.BMC women's health · 2025Article
- Permissive hypercapnia combined with goal-directed fluid therapy improve postoperative mental health in elderly patients undergoing laparoscopic surgery.World journal of psychiatry · 2025Article
- Nomogram reliability for predicting potential risk in postgraduate medical students with anxiety symptoms.Heliyon · 2022Article
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: To develop and validate the risk nomogram to predict the likelihood of postoperative anxiety and depression in colorectal cancer (CRC) patients. Methods: A total of 602 CRC patients from the Second Affiliated Hospital of Harbin Medical University were included in the study and divided into development set and validation set with the 2:1 ratio randomly. Logistic regression model was used to determine independent factors contributing to postoperative anxiety and depression, which were subsequently applied to build the nomogram for predicting postoperative anxiety and depression. The performance of the risk nomogram was appraised by the area under the receiver operating curve (AUC), calibration curves and decision curve analyses (DCA). Results: Gender, personal status, income, adjuvant therapy, the Eastern Cooperative Oncology Group Scale (ECOG) score, comorbidity, postoperative complications and stoma status were significant indicators for postoperative anxiety and depression. The AUCs for the development and validation sets were 0.792 and 0.812 for the postoperative anxiety nomogram and 0.805 and 0.825 for the postoperative depression nomogram. Additionally, calibration curves and decision curve analyses also determined the reliable clinical importance of the proposed nomogram. Conclusion: The current study constructed the risk nomogram for postoperative anxiety and depression and could help clinicians determine high-risk patients to some extent.
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