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Record W4414972519 · doi:10.3389/fsurg.2025.1626320

Comparative efficacy of femoral neck system vs. cannulated compression screws in young patients with femoral neck fractures: a systematic review and meta-analysis

2025· review· en· W4414972519 on OpenAlexaboutno aff
Weishuai Zhang, Nannan Yang, Xianyou Zhu, Xuchao Lu, Jian Cheng

Bibliographic record

VenueFrontiers in Surgery · 2025
Typereview
Languageen
FieldMedicine
TopicHip and Femur Fractures
Canadian institutionsnot available
FundersXuzhou Science and Technology Bureau
KeywordsCompression (physics)Femoral neckRadiation exposureRadiation therapyCompression therapy

Abstract

fetched live from OpenAlex

Background The optimal method for internal fixation of femoral neck fractures in younger individuals remains a subject of debate. This meta-analysis systematically evaluates and compares the clinical outcomes of the femoral neck system (FNS) and cannulated compression screws (CCSs) within this demographic. Methods A comprehensive literature search was conducted across the Cochrane Library, PubMed, Web of Science, and Embase databases, covering studies from their inception through March 2024. The search targeted cohort studies that compared FNS (n = 265) and CCSs (n = 326) in patients aged 14–65 years with femoral neck fractures. The methodological quality of the studies was appraised using the Newcastle–Ottawa Scale. Statistical analyses were executed using RevMan 5.4, with results presented as standardized mean differences (SMDs) or weighted mean differences (WMDs), accompanied by 95% confidence intervals (CIs). Results The analysis incorporated nine high-quality cohort studies involving 591 patients who underwent surgical procedures for femoral neck fractures. Of these patients, 265 were treated with the femoral neck system (FNS), while 326 were treated with CCSs. Meta-analysis revealed that, compared to CCS, FNS was associated with a significantly shorted fracture healing time (SMD = 16.30, 95% CI: 3.79–28.82, P < 0.001), decreased intraoperative fluoroscopy usage (WMD) = −8.14, 95% CI: −9.82 to −6.46, P < 0.001), and higher Harris hip scores at the final follow-up (WMD = −3.43, 95% CI: −4.08 to −2.77, P < 0.001). In addition, the FNS group exhibited a lower incidence of postoperative complications, including urinary tract infections, venous thromboembolism, non-union, screw loosening, and femoral head necrosis [risk ratio (RR) = 1.05, 95% CI: 0.92–1.19, P = 0.50]. However, the FNS was associated with a longer surgical incision (WMD = 0.84, 95% CI: 0.55–1.13, P < 0.001) and increased intraoperative blood loss (WMD = 16.30, 95% CI: 3.79–28.82, P = 0.01). The analysis revealed no statistically significant differences between the two techniques in terms of operation duration (WMD = −4.88, 95% CI: −12.25 to 2.48, P = 0.19), length of hospital stay (WMD = 0.10, 95% CI: −0.20 to 0.40, P = 0.52), or the excellent-to-good rate at the final follow-up (RR = 1.05, 95% CI: 0.92–1.19, P = 0.50). Conclusions The femoral neck system (FNS) may present potential benefits in specific outcomes, notably expedited healing and enhanced functional rehabilitation. The results of this study advocate for the consideration of the FNS as a preferred treatment option for active patients, where minimizing radiation exposure and optimizing long-term outcomes are prioritized, despite its slightly greater invasiveness.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.017
metaresearch head score (Gemma)0.036
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.021
Threshold uncertainty score0.092

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.036
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0210.038
Bibliometrics0.0070.006
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.039
GPT teacher head0.329
Teacher spread0.290 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
Has abstractyes

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