| For: | Pan JW, Zhao G. Analysis of factors related to postpartum depression in pregnancy-induced hypertension syndrome patients and construction and evaluation of nomograms. World J Psychiatry 2023; 13(9): 654-664 [PMID: 37771641 DOI: 10.5498/wjp.v13.i9.654] |
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| URL: | https://www.wjgnet.com/2220-3206/full/v13/i9/654.htm |
| Number | Citing Articles |
| 1 |
Yangyang Lin, Dongqin Zhou. A method for predicting postpartum depression via an ensemble neural network model. Frontiers in Public Health 2025; 13 doi: 10.3389/fpubh.2025.1571522
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| 2 |
Mortuja Mahamud Tohan, Shaiya Binte Mahbub, Sayeeda Zaman, Tuhin Roy, Tomomi McAuliffe, Md. Ashfikur Rahman. Workplace Stress, Overcommitment, and Maternal Health as Predictors of Postpartum Depression: A Case‐Control Study Among Employed Married Women in Bangladesh. Health Science Reports 2026; 9(5) doi: 10.1002/hsr2.72500
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| 3 |
Dangding Yin. Effects of combined spinal-epidural anesthesia and epidural analgesia on pain and blood pressure in preeclamptic women undergoing painless delivery. American Journal of Translational Research 2025; 17(7) doi: 10.62347/WQTE9989
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| 4 |
洁 陈. Research Progress on the Current Status and Influencing Factors of Perinatal Depression in Cesarean Section. Advances in Clinical Medicine 2025; 15(11) doi: 10.12677/acm.2025.15113068
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| 5 |
Yani Su, Ming Zhang, Peng Xu, Pengfei Wen, Ke Xu, Jiale Xie, Xianjie Wan, Lin Liu, Zhi Yang, Mingyi Yang. Genetic causal assessment between major depression and hypertension: A two-sample bidirectional Mendelian randomization study. Clinical and Experimental Hypertension 2025; 47(1) doi: 10.1080/10641963.2025.2553507
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| 6 |
Huiling Qu, Yanna Zhou, Yi Yu. Risk Factor Analysis and Prediction Model Construction and Validation of Depression During Pregnancy. Clinical and Experimental Obstetrics & Gynecology 2025; 52(7) doi: 10.31083/CEOG37267
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