Evidence map›Paper›PMID 29034725›Full record

ArticleAIDS care2018

Polypharmacy and risk of falls and fractures for patients with HIV infection and substance dependence.

Theresa W Kim, Alexander Y Walley, Alicia S Ventura, Gregory J Patts, Timothy C Heeren, Gabriel B Lerner, Nicholas Mauricio, Richard Saitz

Open access · greenAbstract read
In one paragraph

Article in AIDS care, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 8% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. A Fall Prevention Feasibility Trial for People With HIV and Alcohol Use.OTJR : occupation, participation and health · 2025
    Trial
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Cardiometabolic health in people with HIV: expert consensus review.The Journal of antimicrobial chemotherapy · 2024
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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

8 authors at 1 institution in 1 country.

Theresa W Kima Clinical Addiction Research and Education (CARE) Unit, Section of General Internal Medicine, Boston Medical Center , Boston University School of Medicine , Boston , MA , USA.ORCID http://orcid.org/0000-0001-6043-0721
Alexander Y Walleya Clinical Addiction Research and Education (CARE) Unit, Section of General Internal Medicine, Boston Medical Center , Boston University School of Medicine , Boston , MA , USA.
Alicia S Venturaa Clinical Addiction Research and Education (CARE) Unit, Section of General Internal Medicine, Boston Medical Center , Boston University School of Medicine , Boston , MA , USA.
Gregory J Pattsb Data Coordinating Center , Boston University School of Public Health , Boston , MA , USA.
Timothy C Heerenc Department of Biostatistics , Boston University School Public Health , Boston , MA , USA.
Gabriel B Lernerd Boston University School of Medicine , Boston , MA , USA.
Nicholas Mauriciod Boston University School of Medicine , Boston , MA , USA.
Richard Saitza Clinical Addiction Research and Education (CARE) Unit, Section of General Internal Medicine, Boston Medical Center , Boston University School of Medicine , Boston , MA , USA.
Boston University · US

Funding

Project-005UL1TR001430 · NCATS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BAIR-MERRITT, MEGAN H, CENTER, DAVID M. · 2015 to 2024
$52.3M
URBAN ARCH (5/5) Boston Cohort - Alcohol and HIV-associated comorbidity and complications: Frailty, Functional impairment, Falls, and Fractures (the 4F study)U01AA020784 · NIAAA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI HEEREN, TIMOTHY C., KIM, THERESA W · 2011 to 2021
$6.4M
URBAN ARCH (2/5) Biostatistics and Data Management Core (BDM)U24AA020779 · NIAAA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI CHENG, DEBBIE M. · 2011 to 2020
$3.6M
URBAN ARCH (1/5) Administrative Coordinating Core (Admin Core)U24AA020778 · NIAAA · BOSTON MEDICAL CENTER · PI SAMET, JEFFREY H. · 2011 to 2020
$3.5M
NCATS NIH HHS UL1 TR001430NIAAA NIH HHS U01 AA020784NIAAA NIH HHS U24 AA020778NIAAA NIH HHS U24 AA020779
6 · The paper itself

Abstract

Although people with HIV infection (PLWH) are at higher risk of polypharmacy and substance use, there is limited knowledge about potential harms associated with polypharmacy such as falls and fractures in this population. The study objective was to determine whether polypharmacy, as measured by the number and type of medication, is associated with falls and fractures among PLWH and DSM-IV substance dependence in the past year or ever injection drug use (IDU). We identified the number of medications by electronic medical record review in the following categories: (i) systemically active, (ii) non-antiretroviral (non-ARV), (iii) sedating, (iv) non-sedating as well as any opioid medication and any non-opioid sedating medication. Outcomes were self-reported (1) fall/accident requiring medical attention and (2) fracture in the previous year. Separate logistic regression models were fitted for medications in each category and each outcome. Among 250 participants, the odds of a fall requiring medical attention were higher with each additional medication overall (odds ratio [OR] 1.12, 95% Confidence Interval [CI] = 1.05, 1.18), each additional non-ARV medication (OR 1.13, 95%CI = 1.06, 1.20), each additional sedating medication (OR 1.36, 95%CI = 1.14, 1.62), and a non-opioid sedating medication (OR 2.89, 95%CI = 1.06, 7.85) but not with an additional non-sedating medication or opioid medication. In receiver operating characteristic (ROC) curve analyses, optimal cutoffs for predicting falls were: ≥8 overall and ≥2 sedating medications. Odds ratios for fracture in the previous year were OR 1.05, 95%CI = 0.97, 1.13 for each additional medication overall and OR 1.11, 95%CI = 0.89, 1.38 for each additional sedating medication. In PLWH and substance dependence or ever IDU, a higher number of medications was associated with greater odds of having a fall requiring medical attention. The association appeared to be driven largely by sedating medications. Future studies should determine if reducing such polypharmacy, particularly sedating medications, lowers the risk of falls.

Indexed as

PolypharmacyAccidental FallsAdultAgedAnalgesics, OpioidAnti-Retroviral AgentsDrug PrescriptionsDrug UtilizationElectronic Health RecordsFemaleHIV InfectionsHumansLongitudinal StudiesMaleMiddle AgedRisk FactorsAnalgesics, OpioidAnti-Retroviral AgentsfallHIVpolypharmacySubstance dependence

Identifiers

PMID29034725
PMCPMC5977400
OpenAlexW2766771589

What OpenQuestion holds

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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.