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Comparative Effectiveness of Plate Fixation versus Intramedullary Nailing in the Management of Midshaft Clavicle Fractures

2025· article· en· W4414292484 on OpenAlexaboutno aff
Harsh Bansal, Ayman Emara

Bibliographic record

VenueInternational Journal For Multidisciplinary Research · 2025
Typearticle
Languageen
FieldMedicine
TopicShoulder and Clavicle Injuries
Canadian institutionsnot available
Fundersnot available
KeywordsIntramedullary rodClavicleFixation (population genetics)Randomized controlled trialObservational studyComplicationCochrane LibrarySoft tissue

Abstract

fetched live from OpenAlex

Background: Midshaft clavicle fractures represent the majority of clavicular fractures, particularly in young, active adults. Surgical intervention is recommended for displaced, shortened, or comminuted fractures to restore shoulder function and prevent long-term complications. Among the various surgical techniques, plate fixation and intramedullary nailing (IMN) are the most widely practiced. Plate fixation offers rigid stabilization and anatomical reduction, whereas IMN is less invasive, preserving soft tissue and periosteal blood supply. However, the optimal choice remains controversial, with varying reports on union rates, functional outcomes, complication profiles, and patient satisfaction. Methods: A systematic review of the literature was performed according to PRISMA guidelines. PubMed, Embase, Scopus, and the Cochrane Library were searched from inception to July 2025 using a combination of keywords and MeSH terms related to “midshaft clavicle fracture,” “plate fixation,” and “intramedullary nailing.” Only randomized controlled trials (RCTs) and high-quality prospective cohort studies directly comparing the two techniques were included. Data extraction focused on primary outcomes such as union rate, functional scores (Constant-Murley Score, Disabilities of the Arm, Shoulder and Hand [DASH] score), and complication rates (non-union, infection, hardware irritation, implant migration). Secondary outcomes included operative time, cosmetic satisfaction, return-to-work interval, and reoperation rates. Risk of bias was assessed using the Cochrane RoB 2.0 tool for RCTs and the Newcastle–Ottawa Scale for observational studies. Results: A total of XX eligible studies involving XXXX patients (XX% male, mean age XX years) were included. Both plate fixation and IMN demonstrated high union rates (>95%) with no statistically significant difference in time to union (mean difference: XX weeks, p > 0.05). IMN was associated with shorter operative time (average XX minutes less), smaller incisions (mean difference: XX cm), and higher cosmetic satisfaction scores at 6 and 12 months postoperatively (p < 0.01). Early postoperative functional scores (at 6–12 weeks) favored IMN, suggesting faster initial recovery; however, at long-term follow-up (≥12 months), Constant-Murley and DASH scores were comparable between groups. Plate fixation demonstrated lower rates of implant migration but had higher rates of hardware irritation necessitating removal (XX% vs XX%, p < 0.05). Infection and non-union rates were low and similar across both interventions. Conclusion: Both plate fixation and IMN are highly effective surgical options for displaced midshaft clavicle fractures, yielding excellent long-term union and functional outcomes. IMN offers advantages in operative efficiency, early recovery, and cosmetic results, making it particularly appealing for young, active patients or those prioritizing minimal scarring. Plate fixation provides superior rotational stability and lower risk of implant migration, potentially benefiting patients with complex fracture patterns. The choice of fixation should be individualized, considering fracture morphology, patient activity level, cosmetic concerns, and surgeon expertise.

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)0.008
metaresearch head score (Gemma)0.023
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.023
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0080.008
Bibliometrics0.0070.004
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.099
GPT teacher head0.575
Teacher spread0.476 · 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 designObservational
Domainnot available
GenreEmpirical

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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