Evidence map›Paper›PMID 40529384›Full record

ArticleJournal of hand and microsurgery2025

Older age is a predictor for hardware failure in open lower extremity fractures requiring free flap coverage.

Ramin Shekouhi, Syeda Hoorulain Ahmed, Harvey Chim

Abstract read
In one paragraph

Article in Journal of hand and microsurgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Ramin ShekouhiDivision of Plastic and Reconstructive Surgery, Louisiana State University Health Sciences Center, New Orleans, LA, USA.
Syeda Hoorulain AhmedDivision of Plastic and Reconstructive Surgery, Department of Surgery, University of Florida, Gainesville, FL, USA.
Harvey ChimDivision of Plastic and Reconstructive Surgery, Louisiana State University Health Sciences Center, New Orleans, LA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The primary objective of this study was to investigate incidence and factors associated with hardware failure in a cohort of patients with open tibial and ankle fractures who underwent free flap coverage in conjunction with open reduction and internal fixation (ORIF) and hardware placement. Secondary objectives were to determine incidence of fracture union and limb salvage. Finally, we sought to identify flap-related factors that might impact rates of infection, flap failure, and nonunion. Methods: A consecutive single-surgeon series was studied. Baseline patient characteristics, flap-related factors, incidence of hardware failure, amputation, and non-union were extracted and analyzed. Results: A total of 37 consecutive patients with a mean age of 38.9 ± 16.4 years were included, with a mean postoperative follow-up of 703.4 ± 459.6 days. There were 9 patients (24.3 %) with hardware failure and deep tissue infection. Time from injury to flap and time from last ORIF to flap were not significantly different between patients with hardware failure and those without. Flap type (muscle versus fasciocutaneous), smoking status, diabetes and body mass index were not associated with hardware failure. Multivariate regression analysis controlling for potential confounders showed that older age in patients was the only significant factor predicting hardware failure. Bone union was achieved in 29 (78.4 %) patients. Mean time from surgery to radiological signs of union was 329.3 ± 425.3 days. Conclusion: In patients requiring free flap reconstruction and ORIF for open tibial and ankle fractures, age was the only significant non-modifiable risk factor for hardware failure.

Indexed as

Ankle fractureFree flapHardware failureInfectionOpen tibial fracturePilon fractureSurgical site infection

Identifiers

PMID40529384
PMCPMC12167786

What OpenQuestion holds

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Registered trials

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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.