Evidence map›Paper›PMID 29353316›Full record

ArticleInternational orthopaedics2018

Validation of a new classification for periprosthetic shoulder fractures.

Chlodwig Kirchhoff, Marc Beirer, Ulrich Brunner, Arne Buchholz, Peter Biberthaler, Moritz Crönlein

Abstract readValidation Study
PubMed Publisher
In one paragraph

Article in International orthopaedics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Evaluation and treatment of postoperative periprosthetic humeral fragility fractures.OTA international : the open access journal of orthopaedic trauma · 2023
    Review
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Failed Reverse Shoulder Arthroplasty and Recommendations for Revision.Current reviews in musculoskeletal medicine · 2020
    Review
  15. Review
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

6 authors.

Chlodwig KirchhoffDepartment of Trauma Surgery, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Strasse 22, 81675, Munich, Germany.
Marc BeirerDepartment of Trauma Surgery, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Strasse 22, 81675, Munich, Germany.
Ulrich BrunnerDepartment of Trauma Surgery, Krankenhaus Agatharied GmbH, Norbert-Kerkel-Platz, 83734, Hausham, Germany.
Arne BuchholzDepartment of Trauma Surgery, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Strasse 22, 81675, Munich, Germany.
Peter BiberthalerDepartment of Trauma Surgery, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Strasse 22, 81675, Munich, Germany.
Moritz CrönleinDepartment of Trauma Surgery, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Strasse 22, 81675, Munich, Germany. moritz.croenlein@mri.tum.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSuccessful treatment of periprosthetic shoulder fractures depends on the right strategy, starting with a well-structured classification of the fracture. Unfortunately, clinically relevant factors for treatment planning are missing in the pre-existing classifications. Therefore, the aim of the present study was to describe a new specific classification system for periprosthetic shoulder fractures including a structured treatment algorithm for this important fragility fracture issue.

methodsThe classification was established, focussing on five relevant items, naming the prosthesis type, the fracture localisation, the rotator cuff status, the anatomical fracture region and the stability of the implant. After considering each single item, the individual treatment concept can be assessed in one last step. To evaluate the introduced classification, a retrospective analysis of pre- and post-operative data of patients, treated with periprosthetic shoulder fractures, was conducted by two board certified trauma surgery consultants.

resultsThe data of 19 patients (8 male, 11 female) with a mean age of 74 ± five years have been analysed in our study. The suggested treatment algorithm was proven to be reliable, detected by good clinical outcome in 15 of 16 (94%) cases, where the suggested treatment was maintained. Only one case resulted in poor outcome due to post-operative wound infection and had to be revised.

conclusionsThe newly developed six-step classification is easy to utilise and extends the pre-existing classification systems in terms of clinically-relevant information. This classification should serve as a simple tool for the surgeon to consider the optimal treatment for his patients.

Indexed as

AgedAged, 80 and overAlgorithmsArthroplastyFemaleFracture Fixation, InternalHumansMaleMiddle AgedPeriprosthetic FracturesRetrospective StudiesShoulder FracturesShoulder JointShoulder ProsthesisClassificationComplicationOsteoporosisRisk factorsShoulder arthroplasty

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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.