Evidence map›Paper›PMID 29294163›Full record

ArticleWorld journal of urology2018

Inter-rater reliability in the radiological classification of renal injuries.

Elias J Pretorius, Amir D Zarrabi, Stephanie Griffith-Richards, Justin Harvey, Hilgard M Ackermann, Catharina M Meintjes, Willem G Cilliers, Moleen Zunza, Alexander J Szpytko, Richard D Pitcher

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In one paragraph

Article in World journal of urology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. The RSNA Abdominal Traumatic Injury CT (RATIC) Dataset.Radiology. Artificial intelligence · 2024
    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.

Elias J PretoriusDivision of Radiodiagnosis, Department of Medical Imaging and Clinical Oncology, Faculty of Medicine and Health Sciences, Stellenbosch University and Tygerberg Hospital, Francie van Zijl Avenue, Tygerberg, Cape Town, 7505, South Africa. eliastania@gmail.com.
Amir D ZarrabiDivision of Urology, Department of Surgical Sciences, Faculty of Medicine and Health Sciences, Stellenbosch University and Tygerberg Hospital, Cape Town, South Africa.
Stephanie Griffith-RichardsDivision of Radiodiagnosis, Department of Medical Imaging and Clinical Oncology, Faculty of Medicine and Health Sciences, Stellenbosch University and Tygerberg Hospital, Francie van Zijl Avenue, Tygerberg, Cape Town, 7505, South Africa.
Justin HarveyDepartment of Statistics and Actuarial Science, Stellenbosch University, Stellenbosch, South Africa.
Hilgard M AckermannDivision of Urology, Department of Surgical Sciences, Faculty of Medicine and Health Sciences, Stellenbosch University and Tygerberg Hospital, Cape Town, South Africa.
Catharina M MeintjesDivision of Urology, Department of Surgical Sciences, Faculty of Medicine and Health Sciences, Stellenbosch University and Tygerberg Hospital, Cape Town, South Africa.
Willem G CilliersDivision of Radiodiagnosis, Department of Medical Imaging and Clinical Oncology, Faculty of Medicine and Health Sciences, Stellenbosch University and Tygerberg Hospital, Francie van Zijl Avenue, Tygerberg, Cape Town, 7505, South Africa.
Moleen ZunzaDivision of Epidemiology and Biostatistics, Department of Global Health, Centre for Evidence Based Healthcare, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Alexander J SzpytkoDivision of Urology, Department of Surgical Sciences, Faculty of Medicine and Health Sciences, Stellenbosch University and Tygerberg Hospital, Cape Town, South Africa.
Richard D PitcherDivision of Radiodiagnosis, Department of Medical Imaging and Clinical Oncology, Faculty of Medicine and Health Sciences, Stellenbosch University and Tygerberg Hospital, Francie van Zijl Avenue, Tygerberg, Cape Town, 7505, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAlthough many radiologists invoke the surgical classification of renal injury proposed by the American Association for Surgery in Trauma (AAST), there has been only limited work on the role of the AAST system as an imaging stratification. The aim was to determine the inter-rater reliability (IRR) amongst radiologists and urologists using the AAST system.

methodsA 1-year retrospective study of consecutive patients with computed tomography (CT) evidence of renal trauma managed at a Level 1 trauma center. Three radiologists and three urologists independently stratified the presentation CT findings according to the AAST renal trauma classification. Agreement between independent raters and mutually exclusive groups was determined utilizing weighted kappa coefficients.

resultsOne hundred and one patients were included. Individual inter-observer agreements ranged from 54/101 (53.4%) to 62/101 (61.4%), with corresponding weighted kappa values from 0.61 to 0.69, constituting substantial agreement. Urologists achieved intra-disciplinary agreement in 49 cases (48.5%) and radiologists in 36 cases (35.6%). Six-reader agreement was achieved in 24 cases (23.7%). The AAST grade I injuries had the highest level of agreement, overall.

conclusionThe finding of substantial IRR amongst radiologists and urologists utilizing the AAST system supports continued use of the broad parameters of the AAST system, with some modification in specific categories with lower agreement.

Indexed as

Observer VariationContusionsHematomaHumansKidneyLacerationsMultidetector Computed TomographyRadiologistsRenal ArteryRenal VeinsReproducibility of ResultsRetrospective StudiesTomography, X-Ray ComputedTrauma Severity IndicesUrologistsVascular System InjuriesAASTMDCTMulti-detector computed tomographyRenal CTRenal traumaTraumaUrinary tract

Identifiers

PMID29294163

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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.