Evidence map›Paper›PMID 30590451›Full record

Observational studyClinical infectious diseases : an official publication of the Infectious Diseases Society of America2019

Frailty Is an Independent Risk Factor for Mortality, Cardiovascular Disease, Bone Disease, and Diabetes Among Aging Adults With Human Immunodeficiency Virus.

Sean G Kelly, Kunling Wu, Katherine Tassiopoulos, Kristine M Erlandson, Susan L Koletar, Frank J Palella

Open access · bronzeAbstract readObservational Study
In one paragraph

Observational study in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
8.9field-weighted citation impact, top 1% 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

40 citing papers in PubMed, 1 synthesis or guideline pooled it, 65 citations in OpenAlex.

  1. Pooled it
  2. Geographical Differences in the Self-Reported Functional Impairment of People With Human Immunodeficiency Virus (HIV) and Associations With Cardiometabolic Risk.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2022 · on this map
    Trial
  3. Trial
  4. Article
  5. Article
  6. Observational
  7. Article
  8. Article
  9. Article
  10. Article
  11. Observational
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 5 institutions in 1 country.

Sean G KellyDepartment of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Kunling WuDepartment of Epidemiology, Harvard School of Public Health, Boston, Massachusetts.
Katherine TassiopoulosDepartment of Epidemiology, Harvard School of Public Health, Boston, Massachusetts.
Kristine M ErlandsonDepartment of Medicine, University of Colorado School of Medicine, Denver.
Susan L KoletarDepartment of Medicine, Ohio State University Wexner Medical Center, Columbus.
Frank J PalellaDepartment of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
Harvard University · USNorthwestern University · USThe Ohio State University Wexner Medical Center · USUniversity of Colorado Denver · USVanderbilt University Medical Center · US

Funding

Leadership and Operations Center (LOC), AIDS Clinical Trials Group (ACTG); LOC 1/UM1AI068636 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Joseph J Eron, RAJESH T GANDHI · 2011 to 2026
$1073.1M
Statistical and Data Management Center (SDMC), AIDS Clinical Trials Group (ACTG)UM1AI068634 · NIAID · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Marlene Ann Cooper, Michael David Hughes · 2011 to 2026
$246.6M
AIDS Clinical Trials Group NetworkU01AI068636 · NIAID · SOCIAL AND SCIENTIFIC SYSTEMS, INC. · PI KURITZKES, DANIEL R. · 2006 to 2010
$147.1M
Validation, CLIA and Qualification (VQC): Enhancing the RS ratio as a tool for AIDS Clinical Trial Group (ACTG) tuberculosis trialsUM1AI106701 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Grace M Aldrovandi · 2014 to 2026
$116.8M
STATISTICAL AND DATA MANAGEMENT CENTERU01AI038855 · NIAID · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI HUGHES, MICHAEL DAVID · 1996 to 2006
$78.1M
Virology, Immunology, and Microbiology CoreP30AI050410 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVID M. MARGOLIS · 2001 to 2026
$76.9M
Statistical and Data Management Center for the AIDS Clinical Trials GroupU01AI068634 · NIAID · HARVARD SCHOOL OF PUBLIC HEALTH · PI HUGHES, MICHAEL DAVID · 2006 to 2010
$71.9M
UCSD Department of Medicine HIV/AIDS Clinical Trials UnitUM1AI069432 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI TIMOTHY J. WILKIN · 2012 to 2026
$50.4M
University of Pittsburgh Clinical Trials UnitUM1AI069494 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SUSAN L KOLETAR, John W Mellors · 2012 to 2026
$38.0M
PILOT STUDY--SUBSTRATE METABOLISM IN EXTREMELY LOW BIRTH WEIGHT INFANTSP30DK048520 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI Edward L Melanson · 1995 to 2026
$32.6M
Predictors of Recovery and the App-Facilitated Tele-Rehabilitation (AFTER) Program for COVID SurvivorsR01AG054366 · NIA · UNIVERSITY OF COLORADO DENVER · PI ERLANDSON, KRISTINE MACE · 2016 to 2020
$3.4M
The Impact of HIV and Aging on Physical Function and the Somatopause.K23AG050260 · NIA · UNIVERSITY OF COLORADO DENVER · PI ERLANDSON, KRISTINE MACE · 2014 to 2018
$946k
NIAID NIH HHS P30 AI050410NIAID NIH HHS U01 AI038855NIAID NIH HHS U01 AI068634NIAID NIH HHS U01 AI068636NIAID NIH HHS UM1 AI068634NIAID NIH HHS UM1 AI068636NIAID NIH HHS UM1 AI069432NIAID NIH HHS UM1 AI069494NIAID NIH HHS UM1 AI106701NIA NIH HHS K23 AG050260NIA NIH HHS R01 AG054366NIDDK NIH HHS P30 DK048520
6 · The paper itself

Abstract

backgroundWe characterized associations between frailty and incident cardiovascular disease (CVD), diabetes mellitus (DM), bone disease, and mortality within a cohort of aging persons with human immunodeficiency virus (PWH).

methodsParticipants underwent frailty evaluations using the Fried frailty assessment (baseline and annually). Frailty was defined as having ≥3 frailty criteria. Clinical outcomes of mortality, CVD events, DM, and bone disease events were recorded throughout the study period (baseline to most recent study or clinic visit, or date of clinical outcome, whichever came first). Poisson regression models were used to evaluate associations between baseline frailty, change in frailty score over 48 weeks, and each clinical outcome.

resultsAmong 821 men and 195 women (median age 51 years), 62 (6%) were frail at baseline. Frailty scores increased by ≥1 component among 194 participants (19%) from baseline to 48 weeks. Baseline frailty was associated with an increased risk of incident CVD and DM, with a trend toward a significant association with bone events. Among frailty components, slow gait speed was associated with incident DM and borderline associated with incident CVD. An increase in frailty from baseline to week 48 was associated with mortality but not with the other clinical outcomes.

conclusionsBaseline frailty was associated with multiple adverse health outcomes (incident CVD, DM, and bone disease), while increase in frailty score was associated with mortality among PWH engaged in care. Incorporation of frailty assessments into the care of PWH may assist in improvement of functional status and risk stratification for age-related chronic diseases.

Indexed as

FrailtyAdultAge FactorsAgingBone DiseasesCardiovascular DiseasesChronic DiseaseCohort StudiesDemographyDiabetes ComplicationsDiabetes MellitusFemaleHIV InfectionsHumansMaleMiddle Agedchronic diseasesfrailtyhuman immunodeficiency virusmortality

Identifiers

PMID30590451
PMCPMC6938206
OpenAlexW2906496589

What OpenQuestion holds

Textmetadata
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.