Evidence map›Paper›PMID 40418359›Full record

ArticleArchives of orthopaedic and trauma surgery2025

Predictive indicators of proximal femur nail antirotation device cut-out in intertrochanteric fractures: introduction of a novel radiographic parameter.

Nihat Yiğit, Ali Said Nazlıgül, Erman Ceyhan

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Article in Archives of orthopaedic and trauma surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

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3citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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2 · The registry

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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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Deltoid Tuberosity Index as a Predictor of Hip Fracture Risk in Older Adults.Geriatric orthopaedic surgery & rehabilitation · 2026
    Article
4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Nihat YiğitSincan Training and Research Hospital, Ankara, Turkey.
Ali Said NazlıgülSincan Training and Research Hospital, Ankara, Turkey. alisaid012@hotmail.com.
Erman CeyhanAnkara Bilkent City Hospital, Ankara, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCut-out remains the predominant complication after proximal femoral nail antirotation (PFNA) fixation in intertrochanteric fractures, significantly affecting clinical outcomes. Established predictive parameters, such as tip-apex distance (TAD) and calcar-referenced TAD (CalTAD), offer valuable insights but have limitations. This study introduces a novel radiographic parameter-the discrepancy between preoperatively estimated and intraoperatively selected lag screw length-and assesses its predictive value in implant cut-out. MATERIALS AND

methodsIn this retrospective cohort study, 276 patients undergoing PFNA fixation for intertrochanteric fractures from January 2019 to June 2023 were analyzed. Patients were classified into cut-out (n = 20, 7.2%) and uneventful healing (n = 256, 92.8%) groups. Demographics, AO/OTA fracture classification, TAD, CalTAD, shaft-neck angle, reduction quality, and the discrepancy between preoperative radiographic estimates of lag screw length (based on contralateral hip measurements) and actual intraoperative lengths were evaluated. Statistical methods included ROC analysis and multivariate logistic regression modeling.

resultsTAD (median 31.5 vs. 23.0 mm, p < 0.001) and CalTAD (median 40.9 vs. 31.4 mm, p < 0.001) were significantly greater in the cut-out group. The novel screw length discrepancy parameter demonstrated significant predictive accuracy (AUC = 0.818), with a difference exceeding 3 mm (shorter screw) strongly associated with cut-out risk (OR = 63.0, p < 0.001). Multivariate analysis identified CalTAD > 38.55 mm (OR = 14.2, p = 0.004) and screw length discrepancy > 3 mm (shorter than estimated) as independent predictors for cut-out.

conclusionsThis study introduces a novel predictor of cut-out in PFNA-treated intertrochanteric fractures: discrepancy exceeding 3 mm between preoperatively estimated and intraoperatively selected lag screw length. Incorporating contralateral hip measurements into preoperative planning protocols may improve surgical precision and decrease the risk of implant failure. Prospective validation studies are recommended to further confirm clinical applicability.

Indexed as

Bone NailsFracture Fixation, IntramedullaryHip FracturesAgedAged, 80 and overBone ScrewsFemaleHumansMaleMiddle AgedRadiographyRetrospective StudiesCut-outIntertrochanteric fracturesProximal femoral nail antirotation (PFNA)

Identifiers

PMID40418359

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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.