Evidence map›Paper›PMID 37763209›Full record

ArticleLife (Basel, Switzerland)2023

A Novel Tool for Collaborative and Blinded Orthopedic Image Analysis.

Philipp Schippers, Andrea Meurer, Matthias Schnetz, Larissa Ewald, Christian Ruckes, Reinhard Hoffmann, Yves Gramlich

Abstract read
In one paragraph

Article in Life (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Proximal humeral fractures in children - controversies in decision making.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2024
    Article
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  5. 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

7 authors.

Philipp SchippersDepartment of Orthopedic Surgery, University Medical Centre, Johannes Gutenberg University Mainz, 55131 Mainz, Germany.ORCID 0000-0002-0005-299X
Andrea MeurerMedical Park Kliniken Bad Wiessee, 83707 Bad Wiessee, Germany.
Matthias SchnetzBG Unfallklinik Frankfurt am Main gGmbH, 60389 Frankfurt am Main, Germany.
Larissa EwaldBG Unfallklinik Frankfurt am Main gGmbH, 60389 Frankfurt am Main, Germany.
Christian RuckesInterdisciplinary Centre for Clinical Trials Mainz, University Medical Center, Johannes Gutenberg University Mainz, 55131 Mainz, Germany.
Reinhard HoffmannBG Unfallklinik Frankfurt am Main gGmbH, 60389 Frankfurt am Main, Germany.
Yves GramlichBG Unfallklinik Frankfurt am Main gGmbH, 60389 Frankfurt am Main, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Image analysis plays a central role in orthopedics and research but comes with many challenges, including anonymization, bias, and achieving efficient analyses using multiple independent observers. Appropriate software is still lacking. Tyche is a free online tool that displays images in a random order without showing any metadata. Additionally, when using Tyche, observers can store results in the same window, and the final results are immediately visible to the project manager. In this study, we compared results from Tyche with those from a validated tool. One hundred pelvic radiographs were analyzed separately by five orthopedic surgeons using both Tyche and the validated software. Common orthopedic measurement modalities and scores were determined. The methods were compared using intra-class correlations and Fleiss' kappa coefficients as well as Bland-Altman plots. Significant correlations ranging from r = 0.17 (Kallgren and Lawrence Score) to r = 0.99 (area measurements) were calculated for inter- and intraobserver agreements between the two tools for all measurements. The Bland-Altman plots indicated the non-inferiority of either tool. The images were analyzed significantly faster when Tyche was used. We conclude that Tyche is a valid tool for use in orthopedic image analysis. Tyche could be utilized for determining inter- and intraobserver agreements, in multicenter studies and for score validations.

Indexed as

blinded image analysiscollaborative image analysisTyche

Identifiers

PMID37763209
PMCPMC10532740

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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.