Evidence map›Paper›PMID 41920229›Full record

ReviewOrthopadie (Heidelberg, Germany)2026

[Spinal robotics vs. cone-beam navigation : A multidimensional comparison of both procedures].

Patrick Strube, Alexander Hölzl, Anna-Maria Vogel, Georg Matziolis, Chris Lindemann

Abstract readEnglish AbstractReview
PubMed Publisher
In one paragraph

Review in Orthopadie (Heidelberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Patrick StrubeOrthopädie, Campus Eisenberg, Universitätsklinikum Jena / Friedrich-Schiller-Universität Jena, Klosterlausnitzer Str. 81, 07607, Eisenberg, Deutschland. patrick.strube@uni-jena.de.
Alexander HölzlOrthopädie, Campus Eisenberg, Universitätsklinikum Jena / Friedrich-Schiller-Universität Jena, Klosterlausnitzer Str. 81, 07607, Eisenberg, Deutschland.
Anna-Maria VogelOrthopädie, Campus Eisenberg, Universitätsklinikum Jena / Friedrich-Schiller-Universität Jena, Klosterlausnitzer Str. 81, 07607, Eisenberg, Deutschland.
Georg MatziolisOrthopädie, Campus Eisenberg, Universitätsklinikum Jena / Friedrich-Schiller-Universität Jena, Klosterlausnitzer Str. 81, 07607, Eisenberg, Deutschland.
Chris LindemannOrthopädie, Campus Eisenberg, Universitätsklinikum Jena / Friedrich-Schiller-Universität Jena, Klosterlausnitzer Str. 81, 07607, Eisenberg, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCone-beam-based navigation as well as robot-assistance are being increasingly employed in spine surgeries to avoid implant misplacement.

objectivesComparison of technique, precision, radiation dosage, resource needs, and spectrum of application of both methods. MATERIALS UND

methodsBesides In addition to a literature search, learning curves of surgical time and radiation dosages were compared between the first 50 robotic cases and 100 cases each with cone-beam navigation or fluoroscopic assistance.

resultsWhile robot assistance comes with highest precision and speed, cone-beam-navigation holds the largest spectrum of application. When implementing the robot, the current learning curve is flatter and longer.

conclusionsBoth technical assistance systems provide a reduced complication rate via increased precision and safety. Acceptance of the high acquisition costs can lead to a reduction in radiation dosage and surgical procedure times.

Indexed as

Learning curveOperative timeRadiation dosageRobot-assisted surgerySpine

Identifiers

What OpenQuestion holds

Textmetadata
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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.