Evidence map›Paper›PMID 38392082›Full record

ArticleJournal of imaging2024

A Lightweight Browser-Based Tool for Collaborative and Blinded Image Analysis.

Philipp Schippers, Gundula Rösch, Rebecca Sohn, Matthias Holzapfel, Marius Junker, Anna E Rapp, Zsuzsa Jenei-Lanzl, Philipp Drees, Frank Zaucke, Andrea Meurer

Abstract read
In one paragraph

Article in Journal of imaging, 2024. 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. 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
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.

Philipp SchippersDepartment of Orthopedics and Traumatology, University Medical Center of the Johannes Gutenberg, University Mainz, 55131 Mainz, Germany.
Gundula RöschDepartment of Orthopedics (Friedrichsheim), Dr. Rolf M. Schwiete Research Unit for Osteoarthritis, University Hospital Frankfurt, Goethe University, 60528 Frankfurt am Main, Germany.
Rebecca SohnDepartment of Orthopedics (Friedrichsheim), Dr. Rolf M. Schwiete Research Unit for Osteoarthritis, University Hospital Frankfurt, Goethe University, 60528 Frankfurt am Main, Germany.
Matthias HolzapfelDepartment of Orthopedics (Friedrichsheim), Dr. Rolf M. Schwiete Research Unit for Osteoarthritis, University Hospital Frankfurt, Goethe University, 60528 Frankfurt am Main, Germany.
Marius JunkerDepartment of Orthopedics (Friedrichsheim), University Hospital Frankfurt, Goethe University, 60528 Frankfurt am Main, Germany.ORCID 0000-0001-7472-275X
Anna E RappDepartment of Orthopedics (Friedrichsheim), Dr. Rolf M. Schwiete Research Unit for Osteoarthritis, University Hospital Frankfurt, Goethe University, 60528 Frankfurt am Main, Germany.
Zsuzsa Jenei-LanzlDepartment of Orthopedics (Friedrichsheim), Dr. Rolf M. Schwiete Research Unit for Osteoarthritis, University Hospital Frankfurt, Goethe University, 60528 Frankfurt am Main, Germany.ORCID 0000-0003-2586-2523
Philipp DreesDepartment of Orthopedics and Traumatology, University Medical Center of the Johannes Gutenberg, University Mainz, 55131 Mainz, Germany.
Frank ZauckeDepartment of Orthopedics (Friedrichsheim), Dr. Rolf M. Schwiete Research Unit for Osteoarthritis, University Hospital Frankfurt, Goethe University, 60528 Frankfurt am Main, Germany.ORCID 0000-0002-7680-9354
Andrea MeurerDepartment of Orthopedics (Friedrichsheim), University Hospital Frankfurt, Goethe University, 60528 Frankfurt am Main, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Collaborative manual image analysis by multiple experts in different locations is an essential workflow in biomedical science. However, sharing the images and writing down results by hand or merging results from separate spreadsheets can be error-prone. Moreover, blinding and anonymization are essential to address subjectivity and bias. Here, we propose a new workflow for collaborative image analysis using a lightweight online tool named Tyche. The new workflow allows experts to access images via temporarily valid URLs and analyze them blind in a random order inside a web browser with the means to store the results in the same window. The results are then immediately computed and visible to the project master. The new workflow could be used for multi-center studies, inter- and intraobserver studies, and score validations.

Indexed as

anonymizationcollaborative blinded image analysismultiple observersrandomization

Identifiers

PMID38392082
PMCPMC10889326

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.