Evidence map›Paper›PMID 41378139›Full record

ArticleJB & JS open access

Time-Dependent Limb Assessment of High-Energy Lower Extremity Trauma Improves Prediction of Amputation: A Secondary Analysis of the OUTLET Study.

Christopher C Stewart, Lisa Reider, Austin R Thompson, Aaron Wolfe Scheffler, Nikan K Namiri, Julie Agel, Robert V O'Toole, Madhav A Karunakar, Benjamin K Potter, Michael J Bosse and 1 more

Abstract read
In one paragraph

Article in JB & JS open access. 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

11 authors.

Christopher C StewartDepartment of Orthopaedic Surgery, University of California, San Francisco, San Francisco, California.ORCID https://orcid.org/0000-0003-0441-5433
Lisa ReiderDepartment of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.ORCID https://orcid.org/0000-0002-5373-9197
Austin R ThompsonDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California.ORCID https://orcid.org/0000-0003-3194-6184
Aaron Wolfe SchefflerDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California.ORCID https://orcid.org/0000-0003-3212-748X
Nikan K NamiriDepartment of Orthopaedic Surgery, Icahn School of Medicine at Mount Sinai, New York, New York.ORCID https://orcid.org/0000-0003-2943-9546
Julie AgelDepartment of Orthopedic Surgery, University of Minnesota, Minneapolis, Minnesota.ORCID https://orcid.org/0000-0002-4296-7389
Robert V O'TooleDepartment of Orthopaedics, R Adams Cowley Shock Trauma Center, University of Maryland School of Medicine, Baltimore, Maryland.
Madhav A KarunakarDepartment of Orthopaedic Surgery, Atrium Health Musculoskeletal Institute, Carolinas Medical Center, Charlotte, North Carolina.ORCID https://orcid.org/0000-0002-5694-4524
Benjamin K PotterDepartment of Orthopaedic Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania.ORCID https://orcid.org/0000-0002-8771-0317
Michael J BosseDepartment of Orthopaedic Surgery, Atrium Health Musculoskeletal Institute, Carolinas Medical Center, Charlotte, North Carolina.ORCID https://orcid.org/0000-0001-7484-5282
Saam MorshedDepartment of Orthopaedic Surgery, University of California, San Francisco, San Francisco, California.ORCID https://orcid.org/0000-0002-8847-8919

Funding

Skeletal Biology and Biomechanics (SBB) CoreP30AR075055 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI EDWARD C HSIAO · 2019 to 2026
$7.1M
NIAMS NIH HHS P30 AR075055
6 · The paper itself

Abstract

Background: The decision to reconstruct or amputate a limb after high-energy lower extremity trauma is influenced by time-dependent factors including evolution of the extent of injury and complications. The purpose of this study was to introduce a time-dependent classification of limb condition and assess its association with amputation. Methods: This was a secondary analysis of OUTLET, a multicenter study of participants aged 18 to 60 with a Gustilo-Anderson Type III pilon, talar, calcaneal, IIIB or C ankle fracture, or an open or closed blast/crush foot injury. The primary outcome was amputation within 18 months. The Orthopaedic Trauma Association Open Fracture Classification (OTA-OFC) was modified to score the evolving condition of the injured limb postoperatively throughout the treatment course to create a time-dependent OFC (OFC-P). Cox proportional hazards models were fit to estimate the hazard of amputation associated with OFC-P domains over time and compared with models using the baseline OTA-OFC. Results: 568 participants comprised the study sample, of which 99 underwent amputation. The average age was 38, 33% female, and 68% White. Using the least injured state (score = 1) as the referent, the highest adjusted hazard ratios for amputation were estimated for 2-point changes in the skin (6.1-fold; 95% confidence interval [CI]: 3.1-12.0), muscle (28-fold; 95% CI: 6.8-117), arterial (12.9-fold; 95% CI: 7.1-23.2), and contamination (7.2-fold; 95% CI: 2.9-18.0) domains of the OFC-P. When the relationship of the OFC-P with amputation was allowed to change after 2 weeks from injury, further improvements in model fit were found for skin (p = 0.03) and muscle domains (p = 0.005). The time-dependent models outperformed baseline models, with the largest effect sizes observed within 14 days after injury. Conclusions: A longitudinal modification of the OTA-OFC is more strongly associated with amputation, especially among skin and muscle domains. Dynamic, quantitative limb viability assessment more accurately reflects clinical practice and patient management but requires prospective validation. Level of Evidence: Therapeutic Level II. See Instructions for Authors for a complete description of levels of evidence.

Identifiers

PMID41378139
PMCPMC12685392

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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.