Evidence map›Paper›PMID 38266885›Full record

ArticleJournal of vascular surgery2024

Psychosocial and socioeconomic factors are most predictive of health status in patients with claudication.

Lindsey E Scierka, Poghni A Peri-Okonny, Gaelle Romain, Jacob Cleman, John A Spertus, Robert Fitridge, Eric Secemsky, Manesh R Patel, Kensey L Gosch, Carlos Mena-Hurtado and 1 more

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in Journal of vascular surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Trial
  2. Review
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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 at 6 institutions in 2 countries.

Lindsey E ScierkaVascular Medicine Outcomes (VAMOS) Program, Section of Cardiology, Department of Internal Medicine, Yale University, New Haven, CT.
Poghni A Peri-OkonnyVascular Medicine Outcomes (VAMOS) Program, Section of Cardiology, Department of Internal Medicine, Yale University, New Haven, CT.
Gaelle RomainVascular Medicine Outcomes (VAMOS) Program, Section of Cardiology, Department of Internal Medicine, Yale University, New Haven, CT.
Jacob ClemanVascular Medicine Outcomes (VAMOS) Program, Section of Cardiology, Department of Internal Medicine, Yale University, New Haven, CT.
John A SpertusSaint Luke's Mid America Heart Institute, Kansas City, MO; Departments of Biomedical and Health Informatics and Internal Medicine, Section of Cardiovascular Disease, University of Missouri-Kansas City, Kansas City, MO.
Robert FitridgeVascular Surgery, University of Adelaide, Adelaide, SA, Australia.
Eric SecemskySmith Center for Outcomes Research, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA.
Manesh R PatelDuke Clinical Research Institute, Duke University Medical Center, Durham, NC.
Kensey L GoschSaint Luke's Mid America Heart Institute, Kansas City, MO.
Carlos Mena-HurtadoVascular Medicine Outcomes (VAMOS) Program, Section of Cardiology, Department of Internal Medicine, Yale University, New Haven, CT.
Kim G SmolderenVascular Medicine Outcomes (VAMOS) Program, Section of Cardiology, Department of Internal Medicine, Yale University, New Haven, CT; Department of Psychiatry, Section of Psychology, Yale University, New Haven, CT. Electronic address: kim.smolderen@yale.edu.
Yale University · USBeth Israel Deaconess Medical Center · USClinical Research Institute · USSaint Luke's Health System · USSaint Luke's Hospital · USThe University of Adelaide · AU

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Shared Decision-Making to Improve the Health Status of Patients with Claudication: Developing and Implementing Strategies to Individualize Treatment DecisionsK23HL150290 · NHLBI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI SECEMSKY, ERIC ALEXANDER · 2020 to 2024
$851k
NCATS NIH HHS UL1 TR001863NHLBI NIH HHS K23 HL150290
6 · The paper itself

Abstract

backgroundAs a key treatment goal for patients with symptomatic peripheral artery disease (PAD), improving health status has also become an important end point for clinical trials and performance-based care. An understanding of patient factors associated with 1-year PAD health status is lacking in patients with PAD.

methodsThe health status of 1073 consecutive patients with symptomatic PAD in the international multicenter PORTRAIT (Patient-Centered Outcomes Related to Treatment Practices in Peripheral Arterial Disease: Investigating Trajectories) registry was measured at baseline and 1 year with the Peripheral Artery Questionnaire (PAQ). The association of 47 patient characteristics with 1-year PAQ scores was assessed using a random forest algorithm. Variables of clinical significance were retained and included in a hierarchical multivariable linear regression model predicting 1-year PAQ summary scores.

resultsThe mean age of patients was 67.7 ± 9.3 years, and 37% were female. Variables with the highest importance ranking in predicting 1-year PAQ summary score were baseline PAQ summary score, Patient Health Questionnaire-8 depression score, Generalized Anxiety Disorder-2 anxiety score, new onset symptom presentation, insurance status, current or prior diagnosis of depression, low social support, initial invasive treatment, duration of symptoms, and race. The addition of 19 clinical variables in an extended model marginally improved the explained variance in 1-year health status (from R

conclusionsPatients' 1-year PAD-specific health status, as measured by the PAQ, can be predicted from 10 mostly psychosocial and socioeconomic patient characteristics including depression, anxiety, insurance status, social support, and symptoms. These characteristics should be validated and tested in other PAD cohorts so that this model can inform risk adjustment and prediction of PAD health status in comparative effectiveness research and performance-based care.

Indexed as

Health StatusIntermittent ClaudicationPeripheral Arterial DiseaseRegistriesSocial Determinants of HealthAgedFemaleHumansMaleMental HealthMiddle AgedProspective StudiesRisk FactorsSocioeconomic FactorsSurveys and QuestionnairesTime FactorsHealth statusOutcomes researchPeripheral artery disease

Identifiers

PMID38266885
PMCPMC11180544
OpenAlexW4391097411

What Socratic 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 Socratic graph.