Göktürk Yıldırım
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Göktürk Yıldırım has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Abdurrahman Engin Baydemir
Department of Anesthesiology, Basaksehir Cam and Sakura City Hospital, Istanbul, Türkiye
1 shared publication - Anıl Berkay Balıtatlı
Department of Anesthesiology, University of Health Sciences, Kanuni Sultan Süleyman Training and Research Hospital, Istanbul, Türkiye
1 shared publication - Ayça Sultan Şahin
Department of Anesthesiology and Reanimation, University of Health Sciences, Kanuni Sultan Süleyman Training and Research Hospital, İstanbul, Turkey
1 shared publication - Engin İhSan Turan
Department of Anesthesiology, University of Health Sciences, Kanuni Sultan Süleyman Training and Research Hospital, Istanbul, Türkiye
1 shared publication - Halil Güler
Department of Anesthesiology, University of Health Sciences, Kanuni Sultan Süleyman Training and Research Hospital, Istanbul, Türkiye
1 shared publication - Zehra Polat Turan
Department of Anesthesiology, Şişli Hamidiye Etfal Training and Research Hospital, Istanbul, Türkiye
1 shared publication
Latest Publications
- Open Access
- 8 October 2026
- Published by The Korean Society of Anesthesiologists in Anesthesia and Pain Medicine
Comparison of patient preference for and interpretability of video-based pain-expression scenarios and the numerical rating scale for postoperative pain assessment: a prospective observational study
Background: Postoperative pain assessment relies primarily on numeric self-report tools, such as the numerical rating scale (NRS); these tools require abstract numerical cognition and may be challenging for some patients in the immediate postoperative period. Thus, in this prospective observational study, we aimed to evaluate a novel video-based pain-expression method in postoperative adults, with the primary objective of assessing patient preference for the video-based pain-expression method compared with that for the NRS.Methods: This prospective single-center observational study was conducted in a post-anesthesia care unit. Adult patients reporting postoperative pain (NRS ≥ 1) were shown five standardized artificial intelligence-generated video scenarios representing increasing pain ranges and asked to select the video best reflecting their pain. Patients also reported their NRS scores. The primary outcome was method preference. Secondary outcomes included exact and ± 1-category agreement, Spearman correlation, and decision-making time.Results: Of 240 enrolled patients, 239 were included in the final analysis. Overall, 133 patients (55.6%; 95% confidence interval [CI] 49.3–61.8) preferred the NRS, whereas 106 patients (44.4%; 95% CI 38.2–50.7) preferred the video-based method. Exact agreement between the video category and NRS was 40.6%, while ± 1-category agreement reached 80.8%. Quadratic weighted kappa demonstrated substantial agreement between the two methods (κ = 0.65). Mean decision time was longer for the video-based method than for NRS (32.87 ± 15.83 vs. 21.04 ± 8.21 s; mean difference 11.83 s, 95% CI 9.92–13.74).Conclusions: Agreement between the NRS and video-based method was strongest at pain extremes. Although NRS is more time-efficient, video-based assessment appears to be a feasible complementary tool that may enhance patient-centered postoperative pain communication.
- 8 October 2026
- Published by The Korean Society of Anesthesiologists in Anesthesia and Pain Medicine
Open AccessComparison of patient preference for and interpretability of video-based pain-expression scenarios and the numerical rating scale for postoperative pain assessment: a prospective observational study
Background: Postoperative pain assessment relies primarily on numeric self-report tools, such as the numerical rating scale (NRS); these tools require abstract numerical cognition and may be challenging for some patients in the immediate postoperative period. Thus, in this prospective observational study, we aimed to evaluate a novel video-based pain-expression method in postoperative adults, with the primary objective of assessing patient preference for the video-based pain-expression method compared with that for the NRS.Methods: This prospective single-center observational study was conducted in a post-anesthesia care unit. Adult patients reporting postoperative pain (NRS ≥ 1) were shown five standardized artificial intelligence-generated video scenarios representing increasing pain ranges and asked to select the video best reflecting their pain. Patients also reported their NRS scores. The primary outcome was method preference. Secondary outcomes included exact and ± 1-category agreement, Spearman correlation, and decision-making time.Results: Of 240 enrolled patients, 239 were included in the final analysis. Overall, 133 patients (55.6%; 95% confidence interval [CI] 49.3–61.8) preferred the NRS, whereas 106 patients (44.4%; 95% CI 38.2–50.7) preferred the video-based method. Exact agreement between the video category and NRS was 40.6%, while ± 1-category agreement reached 80.8%. Quadratic weighted kappa demonstrated substantial agreement between the two methods (κ = 0.65). Mean decision time was longer for the video-based method than for NRS (32.87 ± 15.83 vs. 21.04 ± 8.21 s; mean difference 11.83 s, 95% CI 9.92–13.74).Conclusions: Agreement between the NRS and video-based method was strongest at pain extremes. Although NRS is more time-efficient, video-based assessment appears to be a feasible complementary tool that may enhance patient-centered postoperative pain communication.