Evidence map›Paper›PMID 42409994›Full record

ReviewOrthopadie (Heidelberg, Germany)2026

[Innovations in pelvic tumor surgery : Review and outlook].

Tilman Graulich, Mohamed Omar, Max Ettinger, Ricarda Stauss

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

4 authors.

Tilman GraulichFakultät VI - Medizin und Gesundheitswissenschaften, Abteilung Orthopädie am Campus Pius-Hospital, Carl von Ossietzky Universität Oldenburg, Oldenburg, Deutschland. tilman.graulich@pius-hospital.de.
Mohamed OmarKlinik für Unfallchirurgie, Medizinische Hochschule Hannover, Hannover, Deutschland.
Max EttingerFakultät VI - Medizin und Gesundheitswissenschaften, Abteilung Orthopädie am Campus Pius-Hospital, Carl von Ossietzky Universität Oldenburg, Oldenburg, Deutschland.
Ricarda StaussFakultät VI - Medizin und Gesundheitswissenschaften, Abteilung Orthopädie am Campus Pius-Hospital, Carl von Ossietzky Universität Oldenburg, Oldenburg, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Musculoskeletal tumor surgery is characterized by its interdisciplinary nature, complexity, and individualized approach. The primary objective is an R0 resection-a complete removal of the tumor with clear margins-in order to reduce the risk of recurrence and improve long-term survival. A careful, individualized balance must be struck between the extent of resection required from an oncological perspective and the amount of tissue or function to be preserved from a functional perspective. Classic resection techniques, such as those described by Enneking and Durham, can be customized through the use of modern assistance systems. These systems are collectively referred to as "computer-assisted surgery" (CAS) systems and have undergone a remarkable evolution over the past 20 to 25 years. They encompass image-based navigation, robot-assisted navigation, augmented reality navigation, and patient-specific instruments and implants (PSI). First studies have demonstrated the superiority of CAS systems over manual resection techniques with regard to achieving R0 resections and improving long-term survival outcomes. This article aims to introduce CAS systems and provide an outlook on potential avenues for future development.

Indexed as

Bone NeoplasmsPelvic NeoplasmsSurgery, Computer-AssistedAugmented RealityHumansRobotic Surgical ProceduresAugmented RealityComputer-assisted surgeryRoboticsSarcomaSurgical navigation

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.