Evidence map›Paper›PMID 27751738›Full record

ArticleJournal of vascular surgery2017

The development and validation of the AMPREDICT model for predicting mobility outcome after dysvascular lower extremity amputation.

Joseph M Czerniecki, Aaron P Turner, Rhonda M Williams, Mary Lou Thompson, Greg Landry, Kevin Hakimi, Rebecca Speckman, Daniel C Norvell

Open access · greenAbstract readMulticenter StudyValidation Study
In one paragraph

Article in Journal of vascular surgery, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 11% of its field
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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 54 citations in OpenAlex.

  1. A Systematic Review and Narrative Synthesis of Risk Prediction Tools Used to Estimate Mortality, Morbidity, and Other Outcomes Following Major Lower Limb Amputation.European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery · 2021
    Pooled it
  2. Trial
  3. Article
  4. AMPREDICT Mobility-4: A Novel Four Category Mobility Outcome Prediction Model for Patients Undergoing Vascular Amputation.European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery · 2025
    Article
  5. AMPREDICT MoRe: Predicting Mortality and Re-amputation Risk after Dysvascular Amputation.European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery · 2025
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Observational
  13. Article
  14. Article
  15. Article
  16. The Development and Usability of the AMPREDICT Decision Support Tool: A Mixed Methods Study.European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery · 2021
    Article
  17. Article
  18. [Amputations around the knee].Der Orthopade · 2020
    Article
  19. Article
  20. 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

8 authors at 3 institutions in 1 country.

Joseph M CzernieckiVA Puget Sound Health Care System, University of Washington, Seattle, Wash; Department of Rehabilitation Medicine, University of Washington, Seattle, Wash.
Aaron P TurnerVA Puget Sound Health Care System, University of Washington, Seattle, Wash; Department of Rehabilitation Medicine, University of Washington, Seattle, Wash.
Rhonda M WilliamsVA Puget Sound Health Care System, University of Washington, Seattle, Wash; Department of Rehabilitation Medicine, University of Washington, Seattle, Wash.
Mary Lou ThompsonDepartment of Biostatistics, University of Washington, Seattle, Wash.
Greg LandryDivision of Vascular Surgery, Department of Surgery, Oregon Health and Science University, Portland, Ore.
Kevin HakimiVA Puget Sound Health Care System, University of Washington, Seattle, Wash; Department of Rehabilitation Medicine, University of Washington, Seattle, Wash.
Rebecca SpeckmanVA Puget Sound Health Care System, University of Washington, Seattle, Wash; Department of Rehabilitation Medicine, University of Washington, Seattle, Wash.
Daniel C NorvellSpectrum Research, Inc, Tacoma, Wash. Electronic address: dan@specri.com.
University of Washington · USOregon Health & Science University · USSpectrum Research (United States) · US

Funding

RRD VA I01 RX000223
6 · The paper itself

Abstract

objectiveThe objective of this study was the development of AMPREDICT-Mobility, a tool to predict the probability of independence in either basic or advanced (iBASIC or iADVANCED) mobility 1 year after dysvascular major lower extremity amputation.

methodsTwo prospective cohort studies during consecutive 4-year periods (2005-2009 and 2010-2014) were conducted at seven medical centers. Multiple demographic and biopsychosocial predictors were collected in the periamputation period among individuals undergoing their first major amputation because of complications of peripheral arterial disease or diabetes. The primary outcomes were iBASIC and iADVANCED mobility, as measured by the Locomotor Capabilities Index. Combined data from both studies were used for model development and internal validation. Backwards stepwise logistic regression was used to develop the final prediction models. The discrimination and calibration of each model were assessed. Internal validity of each model was assessed with bootstrap sampling.

resultsTwelve-month follow-up was reached by 157 of 200 (79%) participants. Among these, 54 (34%) did not achieve iBASIC mobility, 103 (66%) achieved at least iBASIC mobility, and 51 (32%) also achieved iADVANCED mobility. Predictive factors associated with reduced odds of achieving iBASIC mobility were increasing age, chronic obstructive pulmonary disease, dialysis, diabetes, prior history of treatment for depression or anxiety, and very poor to fair self-rated health. Those who were white, were married, and had at least a high-school degree had a higher probability of achieving iBASIC mobility. The odds of achieving iBASIC mobility increased with increasing body mass index up to 30 kg/m

conclusionsAMPREDICT-Mobility is a user-friendly prediction tool that can inform the patient undergoing a dysvascular amputation and the patient's provider about the probability of independence in either basic or advanced mobility at each major lower extremity amputation level.

Indexed as

Decision Support TechniquesIndependent LivingLocomotionMobility LimitationAgedAmputation, SurgicalChi-Square DistributionDisability EvaluationFemaleHumansLogistic ModelsLower ExtremityMaleMiddle AgedOdds RatioPatient Selection

Identifiers

PMID27751738
PMCPMC7521625
OpenAlexW2535388173

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.