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Main
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Note: This record shows only 22 elements of the WHO Trial Registration Data Set. To view changes that have been made to the source record, or for additional information about this trial, click on the URL below to go to the source record in the primary register. |
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Register:
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ClinicalTrials.gov |
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Last refreshed on:
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16 March 2021 |
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Main ID: |
NCT03414853 |
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Date of registration:
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23/01/2018 |
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Prospective Registration:
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No |
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Primary sponsor: |
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Public title:
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Free Text Prediction Algorithm for Appendicitis
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Scientific title:
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Prospective Study of a Free-text Diagnosis Prediction Algorithm for Appendicitis in the Emergency Department |
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Date of first enrolment:
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December 4, 2017 |
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Target sample size:
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689 |
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Recruitment status: |
Completed |
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URL:
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https://clinicaltrials.gov/show/NCT03414853 |
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Study type:
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Observational |
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Study design:
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Phase:
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Countries of recruitment
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Singapore
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Contacts
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Name:
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Kee Yuan Ngiam, Dr |
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Address:
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Telephone:
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Email:
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Affiliation:
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National University Hospital, Singapore |
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Key inclusion & exclusion criteria
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Eligibility criteria of doctors- Inclusion criteria: Junior doctors working in the
Emergency Department Exclusion criteria: Refusal of consent
Eligibility criteria of patients-
Inclusion Criteria:
- Presence of abdominal pain, OR
- Presence of gastrointestinal symptoms such as nausea, vomiting or diarrhea, OR
- Fever with anorexia
Exclusion Criteria:
- Previous history of appendicectomy
- Refusal of consent
Age minimum:
21 Years
Age maximum:
99 Years
Gender:
All
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Health Condition(s) or Problem(s) studied
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Abdominal Pain
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Acute Appendicitis
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Intervention(s)
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Diagnostic Test: Free text prediction algorithm for appendicitis
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Primary Outcome(s)
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Accuracy of predictive algorithm for acute appendicitis
[Time Frame: 30 days]
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Secondary ID(s)
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N-171-000-456-001
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Source(s) of Monetary Support
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Please refer to primary and secondary sponsors
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Results
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Results available:
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Date Posted:
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Date Completed:
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URL:
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