Evidence map›Paper›PMID 34997910›Full record

ArticleJournal of cancer survivorship : research and practice2023

Polypharmacy and prescription medication use in a population-based sample of adolescent and young adult cancer survivors.

Andrea C Betts, Caitlin C Murphy, L Aubree Shay, Bijal A Balasubramanian, Christine Markham, Marlyn Allicock

Open access · greenAbstract read
In one paragraph

Article in Journal of cancer survivorship : research and practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 26% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. A Developmental Science Approach to Informing Age Subgroups in Adolescent and Young Adult Cancer Research.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2023
    Article
  6. Article
  7. Review
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

6 authors at 2 institutions in 1 country.

Andrea C BettsDepartment of Health Promotion and Behavioral Sciences, School of Public Health, University of Texas Health Science Center at Houston (UTHealth), 2777 N. Stemmons Fwy., Ste. 8400, Dallas, TX, 75207, USA. Andrea.C.Betts@uth.tmc.edu.
Caitlin C MurphyDepartment of Health Promotion and Behavioral Sciences, UTHealth School of Public Health, Houston, TX, USA.
L Aubree ShayDepartment of Health Promotion and Behavioral Sciences, UTHealth School of Public Health, San Antonio, TX, USA.
Bijal A BalasubramanianDepartment of Epidemiology, Human Genetics, and Environmental Sciences, UTHealth School of Public Health, Dallas, TX, USA.
Christine MarkhamDepartment of Health Promotion and Behavioral Sciences, UTHealth School of Public Health, Houston, TX, USA.
Marlyn AllicockDepartment of Health Promotion and Behavioral Sciences, School of Public Health, University of Texas Health Science Center at Houston (UTHealth), 2777 N. Stemmons Fwy., Ste. 8400, Dallas, TX, 75207, USA.
The University of Texas Health Science Center at Houston · USUniversity of Texas Health Science Center at Dallas · US

Funding

Cancer Prevention and Control Research Training and Career Development ProgramT32CA057712 · NCI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI Bijal A. Balasubramanian, Maria Eulalia Fernandez · 2018 to 2026
$3.2M
NCI NIH HHS T32 CA057712
6 · The paper itself

Abstract

purposeWe examined prescription medication use and identified correlates of polypharmacy-taking multiple medications-in adolescent and young adult cancer survivors (AYAs), who experience early-onset chronic conditions.

methodsOur cross-sectional study pooled data (2008-2017) from the national Medical Expenditure Panel Survey. We estimated prevalence of polypharmacy (≥ 5 unique prescription medications over an approximate 1-year period) in AYAs (age 18-39 years with a history of cancer) and age- and sex-matched controls, overall and by sociodemographics, clinical factors, and health indicators. We compared survivors' and controls' medication use across therapeutic classes. To identify correlates of polypharmacy among AYAs, we included factors with p < 0.20 in bivariable analysis in a multivariable logistic regression model.

resultsAYAs (n = 601) had a higher prevalence of polypharmacy than controls (n = 2,402), overall (31.5% vs. 15.9%, p < .01) and by all sociodemographics, clinical factors, and health indicators. A majority of AYAs with multiple chronic conditions (58.8%, 95% CI 47.3-70.4) or disability (61.3%, 95% CI 52.6-70.0) had polypharmacy. Patterns of AYAs' medication use across therapeutic classes were consistent with their chronic conditions. Nearly one-third used opioid/narcotic analgesics (32.2% vs. 13.7% of controls, p < 0.01). Among AYAs, multiple chronic conditions (aOR 4.68, 95% CI 2.23-9.83) and disability (aOR 3.70, 95% CI 2.23-6.14) were correlated with polypharmacy.

conclusionsChronic conditions and disabilities, including aftereffects of cancer treatment, may drive polypharmacy in AYAs. Future research should examine adverse outcomes of polypharmacy and opioid/narcotic use in AYAs. IMPLICATIONS FOR CANCER SURVIVORS: AYAs with chronic conditions or disabilities should be monitored for polypharmacy.

Indexed as

Cancer SurvivorsMultiple Chronic ConditionsNeoplasmsAdolescentAdultAnalgesics, OpioidChronic DiseaseCross-Sectional StudiesHumansPolypharmacyPrescriptionsYoung AdultAnalgesics, OpioidAdolescent and young adult cancerCancer survivorsOpioid epidemicPolypharmacyPrescription drugs

Identifiers

PMID34997910
PMCPMC10614319
OpenAlexW4206386661

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.