Evidence map›Paper›PMID 41799005›Full record

ArticleJournal of surgical case reports2026

Short-interval total femur replacement for infected distal femoral reconstruction.

Danil Chernov, Nicholas Frappa, Morgan Dillon, Alexander Kovacs, Matthew Alben, Ryan Riley, Joseph B Kuechle

Abstract readCase Reports
In one paragraph

Article in Journal of surgical case reports, 2026. 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

7 authors.

Danil ChernovJacobs School of Medicine and Biomedical Sciences, University at Buffalo, 955 Main St. Buffalo, NY 14203, United States.ORCID https://orcid.org/0009-0001-1310-623X
Nicholas FrappaJacobs School of Medicine and Biomedical Sciences, University at Buffalo, 955 Main St. Buffalo, NY 14203, United States.ORCID https://orcid.org/0009-0007-0623-2864
Morgan DillonJacobs School of Medicine and Biomedical Sciences, University at Buffalo, 955 Main St. Buffalo, NY 14203, United States.ORCID https://orcid.org/0009-0009-5032-316X
Alexander KovacsDepartment of Orthopaedics and Sports Medicine, University at Buffalo, 462 Grider St., Buffalo, NY 14215, United States.
Matthew AlbenDepartment of Orthopaedics and Sports Medicine, University at Buffalo, 462 Grider St., Buffalo, NY 14215, United States.
Ryan RileyDepartment of Orthopaedics and Sports Medicine, University at Buffalo, 462 Grider St., Buffalo, NY 14215, United States.
Joseph B KuechleDepartment of Orthopaedics and Sports Medicine, University at Buffalo, 462 Grider St., Buffalo, NY 14215, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present the case of a 61-year-old woman, initially treated for distal femoral osteosarcoma with a distal femur replacement (DFR) and multiple prior revisions, who presented with chronic infection of the DFR and catastrophic proximal femoral bone loss, representing a formidable reconstructive challenge. She underwent a novel short-interval two-stage revision consisting of proximal femur resection and placement of a custom antibiotic-loaded total femur spacer, followed 1 week later by definitive total femur replacement. Early follow-up demonstrated infection control and preservation of a functional limb. This case highlights the potential of an abbreviated two-stage approach for limb salvage in complex periprosthetic infections with extensive bone loss.

Indexed as

distal femurosteosarcomaperiprosthetic joint infectionreplacementshort-interval revisiontotal femur replacement

Identifiers

PMID41799005
PMCPMC12966780

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.