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REVIEW STUDY: SURGICAL TREATMENT IN GASTROESOPHAGEAL REFLUX DISEASE, 2020.

Name: REVIEW STUDY: SURGICAL TREATMENT IN GASTROESOPHAGEAL REFLUX DISEASE, 2020.
Creator: Mohammed Ali Alzubaidi
Keywords: 3. Good health

descriptionPublicationkeyboard_double_arrow_right Article 31 Jan 2023Publisher:Zenodo

Authors: Mohammed Ali Alzubaidi;

doi: 10.5281/zenodo.7590881 , 10.5281/zenodo.7590882

REVIEW STUDY: SURGICAL TREATMENT IN GASTROESOPHAGEAL REFLUX DISEASE, 2020.

- Summary
- Metrics

Abstract

Background: GERD is a very common disorder with increasing prevalence. Objective: This study aimed at studyingthe surgical management procedures for Gastroesophageal reflux disease (GERD). Methods: The online medical database was searched then the English articles from 2010 – 2020 were included in the review. Results: There were 37 studies included that answered the question about the surgical management procedures for Gastroesophageal reflux disease (GERD). Conclusion: Various kinds of anti-reflux surgeries are available but the gold standard surgery is laparoscopic fundoplication for surgical treatment of GERD. Another advantageous procedure is Robotic Nissen fundoplication associated with favorable outcomes and improving the quality of life and patients’ satisfaction. Keywords: Management, Gastroesophageal reflux disease (GERD), surgical, anti-reflux surgery.

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	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average