Evidence map›Paper›PMID 37909683›Full record

ArticleActa orthopaedica et traumatologica turcica2023

A new scoring system for predicting cut-out risk in patients with intertrochanteric femur fractures treated with proximal femoral nail anti-rotation.

Burak Kulakoglu, Guzelali Ozdemir, Olgun Bingol, Taner Karlidag, Omer Halit Keskin, Atahan Durgal

Abstract read
In one paragraph

Article in Acta orthopaedica et traumatologica turcica, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

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12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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  5. Evaluating polymethylmethacrylate (PMMA) augmentation in cephalomedullary nail fixation of hip fractures: a step towards evidence-based patient selection criteria.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2026
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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Burak KulakogluDepartment of Orthopaedics and Traumatology, Kilis State Hospital, Kilis, Turkey.
Guzelali OzdemirDepartment of Orthopaedics and Traumatology, Ankara City Hospital, Ankara, Turkey.
Olgun BingolDepartment of Orthopaedics and Traumatology, Ankara City Hospital, Ankara, Turkey.
Taner KarlidagDepartment of Orthopaedics and Traumatology, Ankara City Hospital, Ankara, Turkey.
Omer Halit KeskinDepartment of Orthopaedics and Traumatology, Ankara City Hospital, Ankara, Turkey.
Atahan DurgalDepartment of Orthopaedics and Traumatology, Ankara City Hospital, Ankara, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe objectives of this study were to: (1) determine all the potential risk factors defined in the literature for cut-out after proximal femoral nail anti-rotation in managing intertrochanteric fractures and (2) make a reliable prediction about the likelihood of cut-out by developing a quantitative scoring system.

methodsFour hundred eighty patients who were operated on for an intertrochanteric femur fracture were included in the study. The patients were evaluated retrospectively. Radiological parameters known to affect cut-out, including tip apex distance (TAD), calcarreferenced TAD (CalTAD), and reduction quality, were also used to evaluate the patients. Additionally, the classification of the fracture according to the cortical thickness index for osteoporosis, the Charlson comorbidity index for additional comorbidities, and the Arbeitsgemeinschaft Für Osteosynthesefragen classification were evaluated.

resultsThe cut-out rate among all patients was 7.2%. Cut-out risk could be predicted by gender, TAD, CalTAD, and reduction quality. Female gender, TAD > 29.45, CalTAD > 31.75, and acceptable or poor reduction quality significantly increased the cut-out risk. Based on the chi-square analysis, it was determined that there was a significant relationship between the cut-out risk and the variables of TAD, CalTAD, reduction quality, gender, and fracture type (P=.000, P=.000, P=.000, P=.008, P=.016, respectively). Logistic regression analysis showed a strong correlation between the newly developed scoring system and the risk of cut-out. The risk of cut-out increased 8.1 times in individuals with a score of more than 2 (P < .001).

conclusionFemale gender, TAD > 29.45, CalTAD > 31.75, and acceptable or poor reduction quality are the parameters found to be significant in determining the cut-out risk. With the newly developed scoring system, risks can be calculated for all situations that may occur according to the scores obtained by the patients. The cut-out risk increases significantly in patients with a score above 2 points. LEVEL OF EVIDENCE: Level III, Diagnostic Study.

Indexed as

Femoral FracturesFracture Fixation, IntramedullaryHip FracturesBone NailsFemaleFemurHumansRetrospective StudiesTreatment Outcome

Identifiers

PMID37909683
PMCPMC10724802

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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.