Evidence map›Paper›PMID 36741667›Full record

ArticleCureus2023

Surgeon-Performed Point-of-Care Ultrasound in the Diagnosis of Acute Sigmoid Diverticulitis: A Pragmatic Prospective Multicenter Cohort Study.

Bogdan D Dumbrava, Hajar S Abdulla, Jorge Pereira, Alan Biloslavo, Mauro Zago, Jamal H Hashem, Nitya Kumar, Martin Corbally, Gary A Bass, Thomas N Walsh

Registry-linked trialAbstract read
In one paragraph

Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02682368 (Multicentric Point of Care UltraSound by Surgeons Trial), which is not on this map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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.

NCT02682368 completednot on this map

Multicentric Point of Care UltraSound by Surgeons Trial

TypeobservationalSponsorConnolly Hospital BlanchardstownRan2015 to 2019Enrolled183ConditionsBiliary Disease, Gallstone, Cholecystitis, Acute, Diverticulitis, ColonicArmsPoint of Care Ultrasound by Surgeons (POCUSS), Radiology report, Surgery-Intra-operative findings
3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. European society for trauma and emergency surgery member-identified research priorities in emergency surgery: a roadmap for future clinical research opportunities.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2024
    Review
  7. Article
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

10 authors.

Bogdan D DumbravaDepartment of Surgery, Connolly Hospital, Dublin, IRL.
Hajar S AbdullaDepartment of Surgery, Royal College of Surgeons in Ireland - Medical University of Bahrain, Busaiteen, BHR.
Jorge PereiraDepartment of Surgery, Tondela-Viseu Hospital Center, Viseu, PRT.
Alan BiloslavoDepartment of Surgery, Cattinara University Hospital, Trieste, ITA.
Mauro ZagoDepartment of Surgery, Policlinico San Pietro, Ponte San Pietro, ITA.
Jamal H HashemDepartment of Surgery, Royal College of Surgeons in Ireland - Medical University of Bahrain, Busaiteen, BHR.
Nitya KumarDepartment of Epidemiology and Public Health, Royal College of Surgeons in Ireland - Medical University of Bahrain, Busaiteen, BHR.
Martin CorballyDepartment of Surgery, Royal College of Surgeons in Ireland - Medical University of Bahrain, Busaiteen, BHR.
Gary A BassDepartment of Surgery, Connolly Hospital, Dublin, IRL.
Thomas N WalshDepartment of Surgery, Royal College of Surgeons in Ireland - Medical University of Bahrain, Busaiteen, BHR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and purpose Early diagnosis and risk stratification of sigmoid diverticulitis rely heavily on timely imaging. Computerized tomography (CT), the gold standard diagnostic test, may be delayed due to resource constraints or patient comorbidity. Point-of-care ultrasound (POCUS) has an established role in trauma evaluation, and could potentially diagnose and stage acute diverticulitis, thus shortening the time to definitive treatment.  Aims This study aimed to benchmark the accuracy of surgeon-performed POCUS against CT in diagnosing and staging acute diverticulitis. A secondary aim was to evaluate the duration between the POCUS and the confirmatory CT scan report. Patients and methods A pragmatic prospective multicenter cohort study (ClinicalTrials.gov Identifier: NCT02682368) was conducted. Surgeons performed point-of-care ultrasound as first-line imaging for suspected acute diverticulitis. POCUS diagnosis and radiologic Hinchey classification were compared to CT as the reference standard. Results Of 45 patients with suspected acute diverticulitis, POCUS classified 37 (82.2%) as uncomplicated diverticulitis, four (8.8%) as complicated diverticulitis, and four (8.8%) as other diagnoses. The POCUS-estimated modified radiologic Hinchey classification was largely concordant with CT staging with an accuracy of 88.8% (95% CI, 75.95-96.2%), a sensitivity of 100% (95% CI, 90.2- 100%) and a specificity of 44.4% (95% CI, 13.7-78.8%). The positive predictive value (PPV) was 87.8% and the negative predictive value (NPV) was 100%. There was moderate agreement between CT and POCUS, with a Cohen's kappa coefficient of 0.56. The mean delay between CT and POCUS was 9.14 hours (range 0.33 to 43.5). Conclusion We examined the role of POCUS in the management of acute diverticulitis and our findings suggest that it is a promising imaging modality with the potential to reduce radiation exposure and treatment delays. Adding a POCUS training module to the surgical curriculum could enhance diagnosis and expedite the management of acute diverticulitis.

Indexed as

abdominal sonographyacute abdomendiverticulitispocusultrasound

Identifiers

PMID36741667
PMCPMC9893173

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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.