Evidence map›Paper›PMID 32901303›Full record

ArticleEuropean radiology2021

Interobserver reliability of the Tile classification system for pelvic fractures among radiologists and surgeons.

Tobias Zingg, Emilie Uldry, Patrick Omoumi, Daniel Clerc, Arnaud Monier, Basile Pache, Mohammed Moshebah, Fabio Butti, Fabio Becce

Open access · hybridAbstract read
In one paragraph

Article in European radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 9% 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.

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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

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  16. An Interpretable Approach to Automated Severity Scoring in Pelvic Trauma.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
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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 1 institution in 1 country.

Tobias ZinggDepartment of Visceral Surgery, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland. tobias.zingg@chuv.ch.ORCID http://orcid.org/0000-0003-0905-2299
Emilie UldryDepartment of Visceral Surgery, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Patrick OmoumiDepartment of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Daniel ClercDepartment of Visceral Surgery, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Arnaud MonierDepartment of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Basile PacheDepartment of Visceral Surgery, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Mohammed MoshebahDepartment of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Fabio ButtiDepartment of Visceral Surgery, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Fabio BecceDepartment of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
University of Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo assess the interobserver reliability (IOR) of the Tile classification system, and its potential influence on outcomes, for the interpretation of CT images of pelvic fractures by radiologists and surgeons.

methodsRetrospective data (1/2008-12/2016) from 238 patients with pelvic fractures were analyzed. Mean patient age was 44 years (SD 20); 66% were male. There were 54 Tile A, 82 Tile B, and 102 Tile C type injuries. The 30-day mortality rate was 15% (36/238). Six observers, three radiologists, and three surgeons with different levels of experience (attending/resident/intern) classified each fracture into one of the 26 second-order subcategories of the Tile classification. Weighted kappa coefficients were used to assess the IORs for the three main categories and nine first-order subcategories.

resultsThe overall IORs of the Tile system for the main categories and first-order subcategories were moderate (kappa = 0.44) and fair (kappa = 0.31), respectively. IOR was fair to moderate among radiologists, but only fair among surgeons. By level of training, IOR was moderate between attendings and between residents, whereas it was only fair between interns. IOR was moderate to substantial (kappa = 0.56-0.70) between the radiology attending and resident. Association of the Tile fracture type with 30-day mortality was present based on two out of six observer ratings.

conclusionsThe overall IOR of the Tile classification system is only fair to moderate, increases with the level of rater experience and is better among radiologists than surgeons. In the light of these findings, results from studies using this classification system must be interpreted cautiously. KEY POINTS: • The overall interobserver reliability of the Tile pelvic fracture classification is only fair to moderate. • Interobserver reliability increases with observer experience and radiologists have higher kappa coefficients than surgeons. • Interobserver reliability has an impact on the association of the Tile classification system with mortality in two out of six cases.

Indexed as

RadiologistsSurgeonsAdultFemaleHumansMaleObserver VariationReproducibility of ResultsRetrospective StudiesMultidetector computed tomographyPelvic fracturesRadiologistsReproducibility of resultsSurgeons

Identifiers

PMID32901303
PMCPMC7880942
OpenAlexW3083944239

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.