Evidence map›Paper›PMID 42131352›Full record

ArticleJournal of pain research2026

Effect of Preoperative Pain Catastrophizing on Postpartum Depression and Chronic Postsurgical Pain After Cesarean Section: A Prospective Cohort Study.

Yunhong Ren, Lulu Cao, Yinhao Guo, Suihan Xu, Baoxia Sun, Ling He, Juan Du, Jun Li

Abstract read
In one paragraph

Article in Journal of pain research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yunhong Ren *Mianyang Key Laboratory of Anesthesia and Neuroregulation, Department of Anesthesiology, Mianyang Central Hospital, Mianyang, People's Republic of China.
Lulu Cao *Department of Nuclear Medicine, Mianyang Central Hospital, Mianyang Central Hospital, Mianyang, People's Republic of China.
Yinhao GuoMianyang Key Laboratory of Anesthesia and Neuroregulation, Department of Anesthesiology, Mianyang Central Hospital, Mianyang, People's Republic of China.
Suihan XuMianyang Key Laboratory of Anesthesia and Neuroregulation, Department of Anesthesiology, Mianyang Central Hospital, Mianyang, People's Republic of China.
Baoxia SunMianyang Key Laboratory of Anesthesia and Neuroregulation, Department of Anesthesiology, Mianyang Central Hospital, Mianyang, People's Republic of China.
Ling HeMianyang Key Laboratory of Anesthesia and Neuroregulation, Department of Anesthesiology, Mianyang Central Hospital, Mianyang, People's Republic of China.
Juan DuMianyang Key Laboratory of Anesthesia and Neuroregulation, Department of Anesthesiology, Mianyang Central Hospital, Mianyang, People's Republic of China.
Jun LiMianyang Key Laboratory of Anesthesia and Neuroregulation, Department of Anesthesiology, Mianyang Central Hospital, Mianyang, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: We aimed to analyze the effects of pain catastrophizing on Chronic postsurgical pain(CPSP) and postpartum depression(PPD) in cesarean section(CS). Methods: Women who underwent CS at our hospital between January 15 Results: A total of 658 women were followed up after CS. The incidence of CPSP at 3, 6 and 12 months postoperatively were 18.8% (124/658), 9.3% (61/658) and 3.5% (23/658), respectively. The incidence of PPD at 3, 6 and 12 months were 14.0% (92/658), 6.8% (45/658) and 5.9% (39/658), respectively. Univariate analysis revealed significant differences between the CPSP and no-CPSP groups, as well as the PPD and no-PPD groups, in terms of BMI incision length, intraoperative hemorrhage, inadequate analgesia, and pain catastrophizing at 3, 6, and 12 months postoperatively (P<0.05). Spearman correlation analysis showed that pain catastrophizing was correlated with CPSP at 3, 6, 12 months and PPD at 3 months (P<0.05). Binary logistic regression analysis showed that, after controlling for confounding variables, pain catastrophizing was associated with an increased risk of CPSP at 3 months (odds ratio [OR]=2.501, 95% confidence interval [CI]=1.265‒4.926) and PPD at 3 months (OR=2.144, 95% CI=1.116‒4.117), but not CPSP (OR=0.645, 95% CI=0.265-1.568) and PPD at 6 months (OR=0.531, 95% CI=0.249-1.131) or CPSP (OR=0.818, 95% CI=0.959-1.501) and PPD (OR=0.979, 95% CI=0.936-1.024) at 12 months after surgery. Conclusion: Although the long-term effects of pain catastrophizing require further research, medical professionals still need to conduct brief psychoeducation in the preoperative period, conducting routine PCS screening to identify high-risk patients to reduce the incidence of CPSP and PPD after CS.

Indexed as

cesarean sectionchronic postsurgical painpain catastrophizingpostpartum depression

Identifiers

PMID42131352
PMCPMC13162041

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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.