Acute AppendicitisRCTAppAlgNCT03324165
Comparing Proposed Algorithm and Current Practice in the Evaluation of Suspected Appendicitis
A study testing Proposed Algorithm in people with Acute Appendicitis, run by Singapore General Hospital at 2 sites in Singapore.
Trial summary
Acute appendicitis is one of the most common causes of acute abdominal pain requiring surgical intervention. In the current era, with diagnostic imaging technique like Computed Tomography (CT), negative appendectomy rates have been greatly reduced. However, the radiation risk with CT poses as a concern. Read more about this study
- Who is it for?
- Ages 21 to 80 years
- Conditions the study is for
- Acute Appendicitis
- What is being tested?
- Proposed Algorithm
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 160 participants
- Where
- 2 sitesSingapore
- Study dates
- 1 Oct 2016to 30 Sep 2018
- Phase
- Interventional
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 21 to 80 years
- All sexes
- No healthy volunteers
- Adult, Older adult
Who may be able to join
- Patients between the ages of 21 to 80 who are admitted to Singapore General Hospital and Sengkang Health for suspected appendicitis based on admission diagnosis from the Emergency Department
Who cannot join
- Patients who are pregnant
- Patients below 21 or above 80 years of age
- Patients with generalized peritonitis on presentation
- Patients with palpable right iliac fossa mass on presentation
- Patients with evidence of acute confusional state/dementia
- Patients at high risk of surgery (ASA>4) from the study
- Patients who are immunocompromised (on chemotherapy, steroids etc.)
Trial locations and contacts
2 sites in 1 country.
Singapore2 sites
Sengkang Health
Singapore, 159964
Singapore General Hospital
Singapore, 169608
About this study
Official title: Randomized Control Trial Comparing Proposed Algorithm and Current Best Practice in the Evaluation of Suspected Appendicitis
Acute appendicitis is one of the most common causes of acute abdominal pain requiring surgical intervention. In the current era, with diagnostic imaging technique like Computed Tomography (CT), negative appendectomy rates have been greatly reduced. However, the radiation risk with CT poses as a concern. Rules for clinical decision guiding CT utilization is thus essential to minimize unnecessary CT scans, which not only poses a radiation risk but also contributes to increased healthcare costs.
Through the development of an algorithm based on Alvarado Score for the management of acute appendicitis, investigators hope to reduce CT utilization with an acceptable negative appendectomy rate, and hence reducing unnecessary radiation and the healthcare costs involved.
Read the detailed description
Acute appendicitis is one of the most common causes of acute abdominal pain requiring surgical intervention, with a lifetime risk of 8.6% for males and 6.7% for females. Historically, negative appendectomy rates of more than 20% were considered the norm. This is no longer acceptable in the current era, as despite low complication rates in the setting of negative appendectomy, conditions such as incisional hernias, intestinal obstruction secondary to adhesions and stump leakages can still result in significant morbidity.
Computed Tomography (CT) scan has emerged as the dominant imaging modality for evaluation of suspected appendicitis in adults. It has decreased negative appendectomy rates to fewer than 10%. However, the radiation exposure with CT poses a concern, particularly in appendicitis, which occurs predominantly in young patients most susceptible to the adverse effects of radiation. Available literature has estimated that at least 25% of CT scans are not clinically warranted and may pose more harm than benefits. Rules for clinical decision guiding CT utilization is thus essential to minimize unnecessary CT scans, which not only poses a radiation risk but also contributes to increased healthcare costs.
Currently, the management of suspected appendicitis is surgeon dependent. Accuracy of diagnosis is dependent on individual's clinical acumen, preference for CT scan and threshold for offering surgery. There is also a recent trend towards indiscriminate CT utilization with an estimated 1 in 4 CT scans ordered found to be clinically unwarranted. The Alvarado Score (AS) is a 10 point clinical scoring system for acute appendicitis that has been extensively validated. AS on a prospective database of 500 consecutive cases of suspected appendicitis admitted to Singapore General Hospital, Department of General Surgery from August 2013 to July 2014, was validated. A comparison was then made between diagnostic performance measures of CT scan and AS to identify ranges of AS where patients are unlikely to benefit from CT evaluation. From these findings, an objective algorithm for the management of suspected appendicitis guided by AS was formulated. Ideally, the algorithm will streamline CT utilization and reduce the number of CT scans ordered with an acceptable negative appendectomy rate. Thus, investigators hope to validate this proposed algorithm through a randomized control trial.
The trial will recruit 160 eligible patients over 2 years. Eligible patients who consented to participate in the trial will be subjected to randomization into one of the two trial groups - Usual Care Arm or Intervention Arm - in equal numbers (n=80). Patients randomized to Usual Care Arm will be managed according to individual's doctor discretion. On the other hand, patients randomized to Intervention Arm will have their Alvarado Score tabulated and managed as per proposed algorithm.
The primary objective of the trial is to show that the proposed management algorithm is effective in reducing the percentage of CT utilization as compared to current best practice for patients with suspected appendicitis seen at Singapore General Hospital and Sengkang Health. The hypothesis is that the proposed management algorithm will reduce the percentage of CT scans from 80%, which is the CT utilization rate when current best practice is used, to 60%. The study will be powered to detect this decrease with a 5% type I error rate.
The secondary objective of the trial is to estimate the proportion of negative appendectomy and missed diagnosis in each of the study arm. In addition, the total length of stay in days and overall cost of stay would also be estimated and compared between the two study arms. These secondary objectives are purely descriptive and no hypothesis testing is planned for these objectives.
Randomization schedule will be generated using standard statistical software by a statistician who is not going to be involved in data analysis. Envelopes containing the treatment instructions will be marked according to that schedule. Randomization will be performed in blocks of six subjects, three for intervention and three for control arm, to ensure balanced groups.
If the proposed algorithm is validated and found to be of value, it can potentially be implemented nationwide as a standard protocol for the evaluation of suspected appendicitis. This may reduce the number of unwarranted CT scans performed and reduce health care costs. In addition, the reduction of unnecessary CT scans helps to minimize unwarranted radiation exposure which is not insignificant. A single CT Abdomen Pelvis for evaluation of suspected appendicitis exposes one to 14 mSv of ionizing radiation which adds an additional cancer risk of up to 0.2% for an individual who is 30 years of age. The cumulative effects of such radiation exposure may prove significant and a management algorithm guiding sensible CT utilization will help ease the burden of radiation induced complications in the future.
- Conditions
- Acute Appendicitis
- Being tested
- Proposed Algorithm
- Keywords
- Computed Tomography, Algorithm, Alvarado Score
- Medical subject headings
- Appendicitis
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Proposed AlgorithmOther
Proposed algorithm that uses Alvarado Score to guide CT utilization
| Study group | Role | What they receive |
|---|---|---|
| Usual Care Arm | No intervention | Patients randomized to Usual Care Arm will be managed as per current best practice that is based on the individual doctor's discretion. |
| Intervention Arm | Experimental | Patients randomized to Intervention Arm will be managed as per the proposed algorithm, which is based on the computation of Alvarado Score. Receives: Other: Proposed Algorithm |
What is being measured
The primary outcome is the main question the study is designed to answer.
Percentage of CT performed
The percentage of CT scans performed for patients within each management arm
Measured: Through study completion, an average of 2 years.
Secondary outcomes (4)
Percentage of negative appendectomy
Patients who were operated with a pre-operative diagnosis of acute appendicitis with subsequent histology showing no features of acute appendicitis
Measured: Through study completion, an average of 2 years.
Percentage of missed diagnosis
Patients who were not diagnosed with acute appendicitis during the initial admission but were subsequently readmitted within 2 weeks of discharge due to progression of symptoms, with eventual surgery showing acute appendicitis on histology.
Measured: 2 weeks after discharge
Length of stay
Duration of total hospitalization (measured in days) from point of admission to discharge.
Measured: 2 weeks after discharge
Cost of stay
Total cost of stay incurred by the patient in Singapore Dollars during admission before government subsidies were taken into consideration
Measured: 2 weeks after discharge
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted27 Oct 2017
- Study start1 Oct 2016
- Primary completion30 Sep 2018 (estimated)
- Study completion30 Sep 2018 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (13)Papers the sponsor has linked to this study.
- Other trials for Acute AppendicitisStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Health services research
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Double blind
- Who is masked
- Participant, Outcomes assessor
- Enrolment
- 160 participants (actual)
Sponsor and investigators
- Lead sponsor
- Singapore General Hospital
- Sponsor type
- University, hospital or other
- Collaborators
- National Medical Research Council (NMRC), Singapore, Sengkang Health
- Responsible party
- Sponsor
- Investigators
- Tan Jianhong Winson, MBBS, Principal investigator, Singapore General Hospital
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT03324165
- Sponsor's protocol ID
- CIRB 2015/2981
- Other IDs
- NMRC/HSRNIG/0012/2015
- Acronym
- RCTAppAlg
- Status last verified
- Sep 2018
- First submitted
- 5 Oct 2017
- Last updated
- 6 Sep 2018
- Results posted
- No
- Data monitoring committee
- Yes
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Publications
Birnbaum BA, Wilson SR. Appendicitis at the millennium. Radiology. 2000 May;215(2):337-48. doi: 10.1148/radiology.215.2.r00ma24337.
PubMed 10796905Rothrock SG, Pagane J. Acute appendicitis in children: emergency department diagnosis and management. Ann Emerg Med. 2000 Jul;36(1):39-51. doi: 10.1067/mem.2000.105658.
PubMed 10874234Yildirim E, Karagulle E, Kirbas I, Turk E, Hasdogan B, Teksam M, Coskun M. Alvarado scores and pain onset in relation to multislice CT findings in acute appendicitis. Diagn Interv Radiol. 2008 Mar;14(1):14-8.
PubMed 18306139Hong JJ, Cohn SM, Ekeh AP, Newman M, Salama M, Leblang SD; Miami Appendicitis Group. A prospective randomized study of clinical assessment versus computed tomography for the diagnosis of acute appendicitis. Surg Infect (Larchmt). 2003 Fall;4(3):231-9. doi: 10.1089/109629603322419562.
PubMed 14588157Jones K, Pena AA, Dunn EL, Nadalo L, Mangram AJ. Are negative appendectomies still acceptable? Am J Surg. 2004 Dec;188(6):748-54. doi: 10.1016/j.amjsurg.2004.08.044.
PubMed 15619494Smink DS, Finkelstein JA, Garcia Pena BM, Shannon MW, Taylor GA, Fishman SJ. Diagnosis of acute appendicitis in children using a clinical practice guideline. J Pediatr Surg. 2004 Mar;39(3):458-63; discussion 458-63. doi: 10.1016/j.jpedsurg.2003.11.015.
PubMed 15017570Berrington de Gonzalez A, Darby S. Risk of cancer from diagnostic X-rays: estimates for the UK and 14 other countries. Lancet. 2004 Jan 31;363(9406):345-51. doi: 10.1016/S0140-6736(04)15433-0.
PubMed 15070562Brenner DJ, Hall EJ. Computed tomography--an increasing source of radiation exposure. N Engl J Med. 2007 Nov 29;357(22):2277-84. doi: 10.1056/NEJMra072149. No abstract available.
PubMed 18046031Brenner DJ. Minimising medically unwarranted computed tomography scans. Ann ICRP. 2012 Oct-Dec;41(3-4):161-9. doi: 10.1016/j.icrp.2012.06.004. Epub 2012 Aug 22.
PubMed 23089015Alvarado A. A practical score for the early diagnosis of acute appendicitis. Ann Emerg Med. 1986 May;15(5):557-64. doi: 10.1016/s0196-0644(86)80993-3.
PubMed 3963537National Research Council (US) Board on Radiation Effects Research. Health Risks from Exposure to Low Levels of Ionizing Radiation: BEIR VII, Phase I, Letter Report (1998). Washington (DC): National Academies Press (US); 1998. No abstract available. Available from http://www.ncbi.nlm.nih.gov/books/NBK224187/
PubMed 25077203Mettler FA Jr, Huda W, Yoshizumi TT, Mahesh M. Effective doses in radiology and diagnostic nuclear medicine: a catalog. Radiology. 2008 Jul;248(1):254-63. doi: 10.1148/radiol.2481071451.
PubMed 18566177Tan WJ, Acharyya S, Chew MH, Foo FJ, Chan WH, Wong WK, Ooi LL, Ng JCF, Ong HS. Randomized control trial comparing an Alvarado Score-based management algorithm and current best practice in the evaluation of suspected appendicitis. World J Emerg Surg. 2020 May 1;15(1):30. doi: 10.1186/s13017-020-00309-0.
PubMed 32357897
Study at a glance
From the registry record, last updated by the sponsor on 6 Sep 2018. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Randomized Control Trial Comparing Proposed Algorithm and Current Best Practice in the Evaluation of Suspected Appendicitis
- ClinicalTrials.gov ID
- NCT03324165
- Acronym / sponsor ID
- RCTAppAlg / CIRB 2015/2981
- Conditions
- Acute Appendicitis
- Keywords
- Computed Tomography, Algorithm, Alvarado Score
- Study type
- Interventional
- Recruitment status
- Unknown status
- Enrolment
- 160 participants (actual)
- Lead sponsor
- Singapore General HospitalUniversity, hospital or other
- Collaborators
- National Medical Research Council (NMRC), Singapore, Sengkang Health
- Study start
- 1 Oct 2016 (actual)
- Primary completion
- 30 Sep 2018 (estimated)
- Study completion
- 30 Sep 2018 (estimated)
- First posted
- 27 Oct 2017 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
Acute appendicitis is one of the most common causes of acute abdominal pain requiring surgical intervention. In the current era, with diagnostic imaging technique like Computed Tomography (CT), negative appendectomy rates have been greatly reduced. However, the radiation risk with CT poses as a concern. Rules for clinical decision guiding CT utilization is thus essential to minimize unnecessary CT scans, which not only poses a radiation risk but also contributes to increased healthcare costs.
Through the development of an algorithm based on Alvarado Score for the management of acute appendicitis, investigators hope to reduce CT utilization with an acceptable negative appendectomy rate, and hence reducing unnecessary radiation and the healthcare costs involved.
Detailed description
Acute appendicitis is one of the most common causes of acute abdominal pain requiring surgical intervention, with a lifetime risk of 8.6% for males and 6.7% for females. Historically, negative appendectomy rates of more than 20% were considered the norm. This is no longer acceptable in the current era, as despite low complication rates in the setting of negative appendectomy, conditions such as incisional hernias, intestinal obstruction secondary to adhesions and stump leakages can still result in significant morbidity.
Computed Tomography (CT) scan has emerged as the dominant imaging modality for evaluation of suspected appendicitis in adults. It has decreased negative appendectomy rates to fewer than 10%. However, the radiation exposure with CT poses a concern, particularly in appendicitis, which occurs predominantly in young patients most susceptible to the adverse effects of radiation. Available literature has estimated that at least 25% of CT scans are not clinically warranted and may pose more harm than benefits. Rules for clinical decision guiding CT utilization is thus essential to minimize unnecessary CT scans, which not only poses a radiation risk but also contributes to increased healthcare costs.
Currently, the management of suspected appendicitis is surgeon dependent. Accuracy of diagnosis is dependent on individual's clinical acumen, preference for CT scan and threshold for offering surgery. There is also a recent trend towards indiscriminate CT utilization with an estimated 1 in 4 CT scans ordered found to be clinically unwarranted. The Alvarado Score (AS) is a 10 point clinical scoring system for acute appendicitis that has been extensively validated. AS on a prospective database of 500 consecutive cases of suspected appendicitis admitted to Singapore General Hospital, Department of General Surgery from August 2013 to July 2014, was validated. A comparison was then made between diagnostic performance measures of CT scan and AS to identify ranges of AS where patients are unlikely to benefit from CT evaluation. From these findings, an objective algorithm for the management of suspected appendicitis guided by AS was formulated. Ideally, the algorithm will streamline CT utilization and reduce the number of CT scans ordered with an acceptable negative appendectomy rate. Thus, investigators hope to validate this proposed algorithm through a randomized control trial.
The trial will recruit 160 eligible patients over 2 years. Eligible patients who consented to participate in the trial will be subjected to randomization into one of the two trial groups - Usual Care Arm or Intervention Arm - in equal numbers (n=80). Patients randomized to Usual Care Arm will be managed according to individual's doctor discretion. On the other hand, patients randomized to Intervention Arm will have their Alvarado Score tabulated and managed as per proposed algorithm.
The primary objective of the trial is to show that the proposed management algorithm is effective in reducing the percentage of CT utilization as compared to current best practice for patients with suspected appendicitis seen at Singapore General Hospital and Sengkang Health. The hypothesis is that the proposed management algorithm will reduce the percentage of CT scans from 80%, which is the CT utilization rate when current best practice is used, to 60%. The study will be powered to detect this decrease with a 5% type I error rate.
The secondary objective of the trial is to estimate the proportion of negative appendectomy and missed diagnosis in each of the study arm. In addition, the total length of stay in days and overall cost of stay would also be estimated and compared between the two study arms. These secondary objectives are purely descriptive and no hypothesis testing is planned for these objectives.
Randomization schedule will be generated using standard statistical software by a statistician who is not going to be involved in data analysis. Envelopes containing the treatment instructions will be marked according to that schedule. Randomization will be performed in blocks of six subjects, three for intervention and three for control arm, to ensure balanced groups.
If the proposed algorithm is validated and found to be of value, it can potentially be implemented nationwide as a standard protocol for the evaluation of suspected appendicitis. This may reduce the number of unwarranted CT scans performed and reduce health care costs. In addition, the reduction of unnecessary CT scans helps to minimize unwarranted radiation exposure which is not insignificant. A single CT Abdomen Pelvis for evaluation of suspected appendicitis exposes one to 14 mSv of ionizing radiation which adds an additional cancer risk of up to 0.2% for an individual who is 30 years of age. The cumulative effects of such radiation exposure may prove significant and a management algorithm guiding sensible CT utilization will help ease the burden of radiation induced complications in the future.
Study design
- Primary purpose
- Health services research
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Double blind (participant, outcomes assessor)
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| Usual Care Arm | No intervention | –Patients randomized to Usual Care Arm will be managed as per current best practice that is based on the individual doctor's discretion. |
| Intervention Arm | Experimental | Other: Proposed AlgorithmPatients randomized to Intervention Arm will be managed as per the proposed algorithm, which is based on the computation of Alvarado Score. |
Who may qualify
- Ages
- 21 to 80 years
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (1 listed)
- Patients between the ages of 21 to 80 who are admitted to Singapore General Hospital and Sengkang Health for suspected appendicitis based on admission diagnosis from the Emergency Department
Key exclusion criteria (7 listed)
- Patients who are pregnant
- Patients below 21 or above 80 years of age
- Patients with generalized peritonitis on presentation
- Patients with palpable right iliac fossa mass on presentation
- Patients with evidence of acute confusional state/dementia
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Proposed AlgorithmProposed algorithm that uses Alvarado Score to guide CT utilization | Other | Intervention Arm |
Primary outcome
Percentage of CT performed
Time frame: Through study completion, an average of 2 years.
The percentage of CT scans performed for patients within each management arm
4 secondary outcomes
Percentage of negative appendectomy
Time frame: Through study completion, an average of 2 years.
Percentage of missed diagnosis
Time frame: 2 weeks after discharge
Length of stay
Time frame: 2 weeks after discharge
Cost of stay
Time frame: 2 weeks after discharge
Results and safety
Results are not available in the source record.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 6 Sep 2018.
- Background: PubMed 10796905Birnbaum BA, Wilson SR. Appendicitis at the millennium. Radiology. 2000 May;215(2):337-48. doi: 10.1148/radiology.215.2.r00ma24337.
- Background: PubMed 10874234Rothrock SG, Pagane J. Acute appendicitis in children: emergency department diagnosis and management. Ann Emerg Med. 2000 Jul;36(1):39-51. doi: 10.1067/mem.2000.105658.
- Background: PubMed 18306139Yildirim E, Karagulle E, Kirbas I, Turk E, Hasdogan B, Teksam M, Coskun M. Alvarado scores and pain onset in relation to multislice CT findings in acute appendicitis. Diagn Interv Radiol. 2008 Mar;14(1):14-8.
- Background: PubMed 14588157Hong JJ, Cohn SM, Ekeh AP, Newman M, Salama M, Leblang SD; Miami Appendicitis Group. A prospective randomized study of clinical assessment versus computed tomography for the diagnosis of acute appendicitis. Surg Infect (Larchmt). 2003 Fall;4(3):231-9. doi: 10.1089/109629603322419562.
- Background: PubMed 15619494Jones K, Pena AA, Dunn EL, Nadalo L, Mangram AJ. Are negative appendectomies still acceptable? Am J Surg. 2004 Dec;188(6):748-54. doi: 10.1016/j.amjsurg.2004.08.044.
- Background: PubMed 15017570Smink DS, Finkelstein JA, Garcia Pena BM, Shannon MW, Taylor GA, Fishman SJ. Diagnosis of acute appendicitis in children using a clinical practice guideline. J Pediatr Surg. 2004 Mar;39(3):458-63; discussion 458-63. doi: 10.1016/j.jpedsurg.2003.11.015.
- Background: PubMed 15070562Berrington de Gonzalez A, Darby S. Risk of cancer from diagnostic X-rays: estimates for the UK and 14 other countries. Lancet. 2004 Jan 31;363(9406):345-51. doi: 10.1016/S0140-6736(04)15433-0.
- Background: PubMed 18046031Brenner DJ, Hall EJ. Computed tomography--an increasing source of radiation exposure. N Engl J Med. 2007 Nov 29;357(22):2277-84. doi: 10.1056/NEJMra072149. No abstract available.
- Background: PubMed 23089015Brenner DJ. Minimising medically unwarranted computed tomography scans. Ann ICRP. 2012 Oct-Dec;41(3-4):161-9. doi: 10.1016/j.icrp.2012.06.004. Epub 2012 Aug 22.
- Background: PubMed 3963537Alvarado A. A practical score for the early diagnosis of acute appendicitis. Ann Emerg Med. 1986 May;15(5):557-64. doi: 10.1016/s0196-0644(86)80993-3.
- Background: PubMed 25077203National Research Council (US) Board on Radiation Effects Research. Health Risks from Exposure to Low Levels of Ionizing Radiation: BEIR VII, Phase I, Letter Report (1998). Washington (DC): National Academies Press (US); 1998. No abstract available. Available from http://www.ncbi.nlm.nih.gov/books/NBK224187/
- Background: PubMed 18566177Mettler FA Jr, Huda W, Yoshizumi TT, Mahesh M. Effective doses in radiology and diagnostic nuclear medicine: a catalog. Radiology. 2008 Jul;248(1):254-63. doi: 10.1148/radiol.2481071451.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Tan Jianhong Winson, MBBS principal investigator
Singapore General Hospital
2 sites in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Proposed Algorithm in people with Acute Appendicitis, run by Singapore General Hospital at 2 sites in Singapore.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 1 inclusion and 7 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: status not confirmed, as of the sponsor's last update on 6 Sep 2018. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 2 sites in Singapore. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Results are not available in the source record.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Percentage of CT performed (time frame: Through study completion, an average of 2 years.). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT03324165, which also lists 13 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 6 Sep 2018.