ArticleJournal of pain research2024
Effect of Personality and Pain Catastrophizing on Postoperative Analgesia Following Cesarean Section: A Prospective Cohort Study.
Article in Journal of pain research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed, 4 citations in OpenAlex.
- Effect of Preoperative Pain Catastrophizing on Postpartum Depression and Chronic Postsurgical Pain After Cesarean Section: A Prospective Cohort Study.Journal of pain research · 2026Article
- Antimicrobial effects of nanosilver/polyethylene glycol/chitosan in cesarean section and their impact on breastfeeding rates.BMC surgery · 2025Article
- Predicting the Severity of Acute Pain after Cesarean Delivery: A Narrative Review.Current pain and headache reports · 2024Review
- Relationships Between Burnout and Neuroticism Among Emergency Department Nurses: A Network Analysis.Nursing open · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: This study aimed to investigate the effects of different psychological personalities and pain catastrophizing levels on postoperative analgesia in patients undergoing cesarean section. Patients and Methods: Puerperas who underwent cesarean section at our hospital between January and August 2023 were recruited into the study and assessed using the Eysenck Personality Questionnaire-Revised Short Scale (EPQRSC) and Pain Catastrophizing Scale (PCS). Data on the numerical pain intensity at rest and during activity 24 h after surgery, number and dosage of analgesia pumps, and satisfaction with analgesia were recorded. According to the numerical pain score during activity 24 h post-operation, the patients were divided into the analgesia incomplete group (≥4) and control group (<4). Univariate analysis, Spearman correlation analysis, and binary logistic regression analysis were used to evaluate the influence of personality characteristics and PCS on postoperative analgesia. Results: A total of 778 women were included in the study. The incidence of inadequate analgesia was 89.8%. The satisfaction rate of analgesia was 66.8%. Univariate analysis showed that extraversion; neuroticism; PCS; numbers of previous cesarean delivery; ASA; analgesic satisfaction; and 24-h analgesia pump compressions and dosage were associated with postoperative analgesia after cesarean section ( Conclusion: The incidence of inadequate analgesia after a cesarean section was high (89.8% on the first day after surgery). Formulating accurate analgesia programs for women undergoing cesarean section with extraversion, neuroticism personality characteristics, and pain catastrophizing behaviors is necessary for improving their postoperative analgesia effects and satisfaction and promoting postpartum comfort.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.