Predictive Model for Positive Video Capsule Endoscopy in Iron Deficiency Anemia

Hamdeh, Shadi; Fathallah, Jihan; Zhang, Hui; Charoen, Amber; Altamimi, Barakat Aburajab; Odufalu, Florence-Damilola; Dave, Devashree; Sayed, Amer; Glick, Laura; Grisolano, Scott; Hachem, Christine; Hammami, Muhammad B.; Mahmoud, Khaldoun Haj; Levy, Alexander N.; Rao, Vijaya L.; Shim, Hong Gi; Semrad, Carol E.; Olyaee, Mojtaba; Micic, Dejan

doi:10.1007/s10620-023-07918-0

Cited by 3 publications

(2 citation statements)

References 34 publications

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“…[28] More recently, a retrospective multicenter study, including 765 SBCEs performed for iron deficiency anaemia, found increased rates of positive procedures in patients with lower mean Hb levels. [29] Not surprisingly, in our study, Hb levels strongly predicted diagnostic findings (p=0.001), especially in the case of severe anaemia (OR 4.9).…”

Section: Accepted Manuscriptsupporting

confidence: 59%

“…Indeed, Hb level was the only variable associated with positive findings ( P = 0.005) among 123 patients who underwent SBCE for iron-deficiency anemia 28 . More recently, a retrospective multicenter study that included 765 SBCEs performed for iron deficiency anemia found increased rates of positive procedures in patients with lower mean Hb levels 29 .…”

Section: Discussionmentioning

confidence: 99%

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The professional background of a referring physician predicts the diagnostic yield of small bowel capsule endoscopy in suspected small bowel bleeding

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Sgamato,

Rocco

et al. 2024

Endosc Int Open

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Background and aim of the study: The diagnostic yield of small-bowel capsule endoscopy (SBCE) in suspected small bowel bleeding (SSBB) is highly variable. Different reimbursement systems and equipment costs also limit SBCE use in clinical practice. Thus, minimising non-diagnostic procedures is advisable. This study aims to assess the SBCE diagnostic yield and identify factors predicting diagnostic findings in a cohort of SSBB patients. Materials and methods: In this retrospective cohort study, we analysed the medical records of patients who consecutively underwent SBCE for SSBB over nine years. By logistic regression, we identified covariates predicting diagnostic findings at SBCE. Finally, we performed a post-hoc cost analysis based on previous gastroenterologist or endoscopist (G/E) consultations versus direct SBCE ordering by other specialists (OS). Results: The final analysis included 584 patients. Most SBCEs were ordered by G/E (74%). The number of SBCEs without any finding was significantly lower in the G/E group (p<0.001). The SBCE diagnostic yield ordered by G/E was significantly higher than that by OS (63% vs 52%, OR 1.57; 95%CI: 1.07-2.26, p=0.019). At multivariate analysis, older age (OR 1.7, 95%CI 1.2-2.4, p=0.005), anaemia (OR 4.9, 95%CI 1.9-12, p=0.001), small bowel transit time (OR 1, 95%CI 1-1.02, p=0.039), and referring physician (OR 1.8, 95%CI 1.1-2.7, p=0.003), independently predicted diagnostic findings. Implementing prior G/E referral vs direct SBCE ordering would reduce medical expenditures by 16%. Conclusions: The professional background of referring physicians significantly improves the diagnostic yield of SBCE and contributes to controlling public health costs.

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Section: Accepted Manuscriptsupporting

confidence: 59%

Section: Discussionmentioning

confidence: 99%

The professional background of a referring physician predicts the diagnostic yield of small bowel capsule endoscopy in suspected small bowel bleeding

Compare,

Sgamato,

Rocco

et al. 2024

Endosc Int Open

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Letter Regarding “Predictive Model for Positive Video Capsule Endoscopy in Iron Deficiency Anemia”

Ali

2023

Dig Dis Sci

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Innovative Robotic Technologies and Artificial Intelligence in Pharmacy and Medicine: Paving the Way for the Future of Health Care—A Review

Stasevych,

Zvarych

2023

BDCC

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The future of innovative robotic technologies and artificial intelligence (AI) in pharmacy and medicine is promising, with the potential to revolutionize various aspects of health care. These advances aim to increase efficiency, improve patient outcomes, and reduce costs while addressing pressing challenges such as personalized medicine and the need for more effective therapies. This review examines the major advances in robotics and AI in the pharmaceutical and medical fields, analyzing the advantages, obstacles, and potential implications for future health care. In addition, prominent organizations and research institutions leading the way in these technological advancements are highlighted, showcasing their pioneering efforts in creating and utilizing state-of-the-art robotic solutions in pharmacy and medicine. By thoroughly analyzing the current state of robotic technologies in health care and exploring the possibilities for further progress, this work aims to provide readers with a comprehensive understanding of the transformative power of robotics and AI in the evolution of the healthcare sector. Striking a balance between embracing technology and preserving the human touch, investing in R&D, and establishing regulatory frameworks within ethical guidelines will shape a future for robotics and AI systems. The future of pharmacy and medicine is in the seamless integration of robotics and AI systems to benefit patients and healthcare providers.

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Predictive Model for Positive Video Capsule Endoscopy in Iron Deficiency Anemia

Cited by 3 publications

References 34 publications

The professional background of a referring physician predicts the diagnostic yield of small bowel capsule endoscopy in suspected small bowel bleeding

The professional background of a referring physician predicts the diagnostic yield of small bowel capsule endoscopy in suspected small bowel bleeding

Letter Regarding “Predictive Model for Positive Video Capsule Endoscopy in Iron Deficiency Anemia”

Innovative Robotic Technologies and Artificial Intelligence in Pharmacy and Medicine: Paving the Way for the Future of Health Care—A Review

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