Evidence map›Paper›PMID 41079460›Full record

ArticleOTA international : the open access journal of orthopaedic trauma2025

Percutaneous exposure for tibia osseointegration: reduced antibiotics, improved perioperative metrics, and greater pain reduction versus open exposure.

Jason S Hoellwarth, Andrew G LoPolito, Michael D Greenstein, Taylor J Reif, Robert S Rozbruch

Abstract read
In one paragraph

Article in OTA international : the open access journal of orthopaedic trauma, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

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

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

5 authors.

Jason S HoellwarthOsseointegration Limb Replacement Center, New York, NY.
Andrew G LoPolitoDuke University School of Medicine, Durham, NC.ORCID https://orcid.org/0009-0007-1402-3923
Michael D GreensteinUniversity of Michigan Medical School, Ann Arbor, MI.
Taylor J ReifOsseointegration Limb Replacement Center, New York, NY.
Robert S RozbruchOsseointegration Limb Replacement Center, New York, NY.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This article compared outcomes of patients who received transtibial osseointegration through percutaneous incision (Perc and existing amputation by definition), open exposure (Open) of an existing amputation, or simultaneous transtibial amputation and osseointegration (Amp). Methods: Retrospective chart review evaluated the aims. Adverse events: subsequent antibiotic administration and additional relevant surgery. Perioperative care: length of operation, estimated blood loss, infusion volume, and length of hospital stay. Patient-reported outcomes: preoperative versus postoperative scores of the Limb Deformity-Modified Scoliosis Research Society (LD-SRS) and PROMIS patient-reported outcome measures. Comparisons were made at short term (first 6 months) and longer term (6 months and beyond). Results: The demographics of the 7 Amp, 15 Open, and 14 Perc patients were similar with the exception of time between amputation and osseointegration, etiology of amputation, and laterality. Perc patients had significantly lower antibiotic prescription versus Amp patients in the first 6 months (21% vs. 100%, Conclusions: Although a percutaneous approach may not always be possible, surgeons may want to actively consider whether their patients can have a smaller surgical approach that may confer measurable benefits.

Indexed as

amputation reconstructionbelow-knee amputationosseointegrationpercutaneous

Identifiers

PMID41079460
PMCPMC12513447

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.