Evidence map›Paper›PMID 41268100›Full record

ArticleOTA international : the open access journal of orthopaedic trauma2025

Optimizing below knee amputation osteotomy length: a ratio-based approach.

Daniel J Cognetti, Mikalyn T DeFoor, Mariah Arave, Joseph F Alderete, Gavin Mills

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Daniel J CognettiBrooke Army Medical Center, Fort Sam Houston, TX.ORCID https://orcid.org/0000-0001-8507-6001
Mikalyn T DeFoorBrooke Army Medical Center, Fort Sam Houston, TX.
Mariah AraveBrooke Army Medical Center, Fort Sam Houston, TX.
Joseph F AldereteUniversity of Texas Health Science Center at San Antonio, San Antonio, TX.
Gavin MillsBrooke Army Medical Center, Fort Sam Houston, TX.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To introduce a novel below knee amputation (BKA) ratio and evaluate its potential for tailoring residual tibia length for patients of varying height and sex. Methods: Design: Retrospective, radiographic review. Setting: Level I Trauma Center. Patient Selection Criteria: Full-length tibia radiographs in skeletally mature patients, without fracture or osseous abnormality. Outcome Measures and Comparisons: Demographic information (age, sex, height), tibial length, and BKA ratio [calculated utilizing a standard, 12-cm osteotomy (from the medial plateau) (12 cm/tibial length)] were recorded for each patient. The mean BKA ratio from the population was then utilized as a reference standard to evaluate the variation in residual tibia length. Mean values were compared using independent Results: In this cohort of 100 patients (50 males, 50 females), mean age was 35.4 ± 18.5 years, with a mean height of 169 ± 9 cm. Mean tibia length was 39.5 ± 2.2 cm for males and 36.5 ± 2.2 cm for females, a difference of 2.9 cm ( Conclusions: A one-size fits all approach to BKA length predisposes individuals of varying height and sex to substantial variability in the relative length of their residual limb. This pilot study suggests that current practice standards regarding BKA length may be oversimplified. Further investigation is required to determine the clinical relevance of these differences regarding energy expenditure and prosthetic fit and ultimately for determining an ideal BKA ratio.

Indexed as

below knee amputationenergy expenditurepatient-specificpilot studyratiotranstibial

Identifiers

PMID41268100
PMCPMC12629382

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.