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Approach to Acute Abdominal Pain: Practical Algorithms
CONTEXT: Acute abdominal pain is one of the most common complaints of patients admitted to emergency units. This study aimed to propose a new approach to abdominal pain by designing a more structured diagnostic workup for physicians. EVIDENCE ACQUISITION: A comprehensive review of relevant articles...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Tehran University of Medical Sciences
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7163264/ https://www.ncbi.nlm.nih.gov/pubmed/32322797 http://dx.doi.org/10.22114/ajem.v0i0.272 |
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author | Vaghef-Davari, Farzad Ahmadi-Amoli, Hadi Sharifi, Amirsina Teymouri, Farzad Paprouschi, Nobar |
author_facet | Vaghef-Davari, Farzad Ahmadi-Amoli, Hadi Sharifi, Amirsina Teymouri, Farzad Paprouschi, Nobar |
author_sort | Vaghef-Davari, Farzad |
collection | PubMed |
description | CONTEXT: Acute abdominal pain is one of the most common complaints of patients admitted to emergency units. This study aimed to propose a new approach to abdominal pain by designing a more structured diagnostic workup for physicians. EVIDENCE ACQUISITION: A comprehensive review of relevant articles and algorithms presented in books and websites was conducted. Approaches which were relevant to the study concept, were selected. RESULTS: Seven algorithms were introduced with respect to the site of abdominal tenderness. The mainstay of these algorithms was differential diagnosis of the tenderness site. CONCLUSION: Based on the findings, the designed approach can prevent confusion among physicians and reduce requests for many unnecessary paraclinical tests, which delay the final diagnosis and impose unacceptable costs on patients and healthcare systems. |
format | Online Article Text |
id | pubmed-7163264 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Tehran University of Medical Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-71632642020-04-22 Approach to Acute Abdominal Pain: Practical Algorithms Vaghef-Davari, Farzad Ahmadi-Amoli, Hadi Sharifi, Amirsina Teymouri, Farzad Paprouschi, Nobar Adv J Emerg Med Review Article CONTEXT: Acute abdominal pain is one of the most common complaints of patients admitted to emergency units. This study aimed to propose a new approach to abdominal pain by designing a more structured diagnostic workup for physicians. EVIDENCE ACQUISITION: A comprehensive review of relevant articles and algorithms presented in books and websites was conducted. Approaches which were relevant to the study concept, were selected. RESULTS: Seven algorithms were introduced with respect to the site of abdominal tenderness. The mainstay of these algorithms was differential diagnosis of the tenderness site. CONCLUSION: Based on the findings, the designed approach can prevent confusion among physicians and reduce requests for many unnecessary paraclinical tests, which delay the final diagnosis and impose unacceptable costs on patients and healthcare systems. Tehran University of Medical Sciences 2019-11-08 /pmc/articles/PMC7163264/ /pubmed/32322797 http://dx.doi.org/10.22114/ajem.v0i0.272 Text en © 2020 Tehran University of Medical Sciences http://creativecommons.org/licences/by-nc/4.0/ This open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial 4.0 License (CC BY-NC 4.0). |
spellingShingle | Review Article Vaghef-Davari, Farzad Ahmadi-Amoli, Hadi Sharifi, Amirsina Teymouri, Farzad Paprouschi, Nobar Approach to Acute Abdominal Pain: Practical Algorithms |
title | Approach to Acute Abdominal Pain: Practical Algorithms |
title_full | Approach to Acute Abdominal Pain: Practical Algorithms |
title_fullStr | Approach to Acute Abdominal Pain: Practical Algorithms |
title_full_unstemmed | Approach to Acute Abdominal Pain: Practical Algorithms |
title_short | Approach to Acute Abdominal Pain: Practical Algorithms |
title_sort | approach to acute abdominal pain: practical algorithms |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7163264/ https://www.ncbi.nlm.nih.gov/pubmed/32322797 http://dx.doi.org/10.22114/ajem.v0i0.272 |
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