Evidence map›Paper›PMID 38690078›Full record

ReviewAnnals of joint2024

Proximal femoral defect classifications in revision total hip arthroplasty from X-rays imaging to advanced 3D imaging: a narrative review.

Giuseppe Marongiu, Lorenzo Leinardi, Stefano Mauro Antuofermo, Alessio Pili, Marco Verona, Daniel Kendoff, Biagio Zampogna, Antonio Capone

Open access · diamondAbstract readReview
In one paragraph

Review in Annals of joint, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 24% of its field
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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

8 authors at 3 institutions in 2 countries.

Giuseppe MarongiuOrthopaedic and Trauma Clinic, Department of Surgical Sciences, University of Cagliari, Policlinico Universitario Duilio Casula, AOU Cagliari, Monserrato, Cagliari, Italy.
Lorenzo LeinardiOrthopaedic and Trauma Clinic, Department of Surgical Sciences, University of Cagliari, Policlinico Universitario Duilio Casula, AOU Cagliari, Monserrato, Cagliari, Italy.
Stefano Mauro AntuofermoOrthopaedic and Trauma Clinic, Department of Surgical Sciences, University of Cagliari, Policlinico Universitario Duilio Casula, AOU Cagliari, Monserrato, Cagliari, Italy.
Alessio PiliOrthopaedic and Trauma Clinic, Department of Surgical Sciences, University of Cagliari, Policlinico Universitario Duilio Casula, AOU Cagliari, Monserrato, Cagliari, Italy.
Marco VeronaOrthopaedic and Trauma Clinic, Department of Surgical Sciences, University of Cagliari, Policlinico Universitario Duilio Casula, AOU Cagliari, Monserrato, Cagliari, Italy.
Daniel KendoffHelios Kliniken Berlin-Buch, Berlin, Germany.
Biagio ZampognaOperative Research Unit of Orthopaedic and Trauma Surgery, Fondazione Policlinico Universitario Campus Bio-Medico, Roma, Italy.
Antonio CaponeOrthopaedic and Trauma Clinic, Department of Surgical Sciences, University of Cagliari, Policlinico Universitario Duilio Casula, AOU Cagliari, Monserrato, Cagliari, Italy.
University of Cagliari · ITCampus Bio Medico University Hospital · ITHelios Kliniken · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objective: Femoral bone defect in hip arthroplasty revision surgery represents a complex problem, and the treatment is a challenge for orthopedic surgeons called to assess the residual bone stock in an altered anatomy and obtain stability for the new implant. Classification systems available are mostly based on X-rays two-dimensional images and lack of accuracy and reproducibility and comprehensive therapeutic algorithms. However, there is no record of any classification based on computed tomography (CT)-scan images or three-dimensional (3D) modeling modern techniques. We aimed to review the current literature around femoral defect classifications (FDCs) analyzing their different rationale basis, reliability and accuracy, and their benefit in clinical practice. Moreover, we highlighted the role of CT scan-based 3D modeling techniques in the setting of femoral bone defects and revision hip arthroplasty. Methods: A narrative review was conducted. The articles were selected from the PubMed and Scopus medical database updated to March 2023. All Level-I to IV studies in the English language were considered for inclusion. The research was performed using relevant search term items: "femoral defects", "classification", "radiographic", "revision hip arthroplasty", "CT scan" and "3D" and we included only articles that evaluated the accuracy or reliability (or both) of the different femoral bone defects classification system. Key Content and Findings: Our search yielded 408 results, of which 17 were deemed highly relevant. We found seven X-ray-based classification systems which have been attempted to quantify the degree of bone loss with low to good reproducibility. The most used classification system for femoral bone defects were the AAOS and Paprosky classification, which also offers a clinical therapeutic algorithm. In 2021, the FDC interestingly showed a new simple classification system with sub-optimal reproducibility and a practical therapeutic algorithm. Despite the numerous classification system of femoral defects, none of them comprehends the use of CT scan and 3D imaging technologies. Conclusions: Traditional X-rays-based classification system are still widely used event if their intra-observer and inter-observer reliability is sub-optimal. 3D modeling techniques represent an important diagnostic tool that could improve the understanding of bone defects and residual bone supportive structures, allowing to elaborate new, more precise, classification systems.

Indexed as

femoral bone defectsfemoral defects classificationHip revision arthroplastythree-dimensional imaging technologies (3D imaging technologies)three-dimensional printing (3D printing)

Identifiers

PMID38690078
PMCPMC11058530
OpenAlexW4394720165

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.