Evidence map›Paper›PMID 32357897›Full record

Trial reportWorld journal of emergency surgery : WJES2020

Randomized control trial comparing an Alvarado Score-based management algorithm and current best practice in the evaluation of suspected appendicitis.

Winson Jianhong Tan, Sanchalika Acharyya, Min Hoe Chew, Fung Joon Foo, Weng Hoong Chan, Wai Keong Wong, London Lucien Ooi, Jeremy Chung Fai Ng, Hock Soo Ong

Registry-linked trialOpen access · goldAbstract readComparative StudyRandomized Controlled Trial
In one paragraph

Trial report in World journal of emergency surgery : WJES, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03324165 (Randomized Control Trial Comparing Proposed Algorithm and Current Best Practice in the Evaluation of Suspected Appendicitis), which is not on this map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.0field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT03324165 naunknown statusnot on this map

Randomized Control Trial Comparing Proposed Algorithm and Current Best Practice in the Evaluation of Suspected Appendicitis

TypeinterventionalSponsorSingapore General HospitalRan2016 to 2018Enrolled160ConditionsAcute AppendicitisArmsProposed Algorithm
3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
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  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Winson Jianhong TanDepartment of General Surgery, Sengkang General Hospital, Singapore, Singapore. winson.tan.j.h@singhealth.com.sg.
Sanchalika AcharyyaClinical Research & Innovation Office, Tan Tock Seng Hospital Singapore, Singapore, Singapore.
Min Hoe ChewDepartment of General Surgery, Sengkang General Hospital, Singapore, Singapore.
Fung Joon FooDepartment of General Surgery, Sengkang General Hospital, Singapore, Singapore.
Weng Hoong ChanDepartment of General Surgery, Singapore General Hospital, Singapore, Singapore.
Wai Keong WongDepartment of General Surgery, Sengkang General Hospital, Singapore, Singapore.
London Lucien OoiDepartment of General Surgery, Singapore General Hospital, Singapore, Singapore.
Jeremy Chung Fai NgDepartment of General Surgery, Singapore General Hospital, Singapore, Singapore.
Hock Soo OngDepartment of General Surgery, Singapore General Hospital, Singapore, Singapore.
Singapore General Hospital · SGSengkang General Hospital · SGTan Tock Seng Hospital · SG

Funding

National Medical Research Council NMRC/CSSSP/0022/2017
6 · The paper itself

Abstract

backgroundAn objective algorithm for the management of suspected appendicitis guided by the Alvarado Score had previously been proposed. This algorithm was expected to reduce computed tomography (CT) utilization without compromising the negative appendectomy rate. This study attempts to validate the proposed algorithm in a randomized control trial.

methodsA randomized control trial comparing the management of suspected acute appendicitis using the proposed algorithm compared to current best practice, with the rate of CT utilization as the primary outcome of interest. Secondary outcomes included the percentage of missed diagnosis, negative appendectomies, length of stay in days, and overall cost of stay in dollars.

resultsOne hundred sixty patients were randomized. Characteristics such as age, ethnic group, American Society of Anesthesiologist score, white cell count, and symptom duration were similar between the two groups. The overall CT utilization rate of the intervention arm and the usual care arm were similar (93.7% vs 92.5%, p = 0.999). There were no differences in terms of negative appendectomy rate, length of stay, and cost of stay between the intervention arm as compared to the usual care arm (p = 0.926, p = 0.705, and p = 0.886, respectively). Among patients evaluated with CT, 75% (112 out of 149) revealed diagnoses for the presenting symptoms.

conclusionThe proposed AS-based management algorithm did not reduce the CT utilization rate. Outcomes such as missed diagnoses, negative appendectomy rates, length of stay, and cost of stay were also largely similar. CT utilization was prevalent as 93% of the study cohort was evaluated by CT scan.

trial registrationThe study has been registered at ClinicalTrials.gov (NCT03324165, Registered October 27 2017).

Indexed as

AlgorithmsAppendectomyAdultAgedAppendicitisDiagnosis, DifferentialHealth Status IndicatorsHumansMiddle AgedRisk FactorsTomography, X-Ray ComputedUnnecessary ProceduresAlgorithmAlvarado scoreAppendicitisCT utilization

Identifiers

PMID32357897
PMCPMC7193351
OpenAlexW3023458374

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.