Evidence map›Paper›PMID 32318129›Full record

Observational studyPain research & management2020

Prevalence and Risk Factors for Opioid-Induced Constipation in an Older National Veteran Cohort.

Fern FitzHenry, Svetlana K Eden, Jason Denton, Hui Cao, Aize Cao, Ruth Reeves, Guanhua Chen, Glenn Gobbel, Nancy Wells, Michael E Matheny

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Pain research & management, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Trends in central nervous system-active polypharmacy among people with multiple sclerosis.Multiple sclerosis (Houndmills, Basingstoke, England) · 2024
    Article
  3. Article
  4. 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

10 authors at 4 institutions in 1 country.

Fern FitzHenryTennessee Valley Healthcare System, Veterans Affairs Medical Center, Nashville, TN, USA.ORCID 0000-0002-3926-1529
Svetlana K EdenTennessee Valley Healthcare System, Veterans Affairs Medical Center, Nashville, TN, USA.
Jason DentonTennessee Valley Healthcare System, Veterans Affairs Medical Center, Nashville, TN, USA.
Hui CaoAstraZeneca Pharmaceuticals, Gaithersburg, MD, USA.
Aize CaoTennessee Valley Healthcare System, Veterans Affairs Medical Center, Nashville, TN, USA.
Ruth ReevesTennessee Valley Healthcare System, Veterans Affairs Medical Center, Nashville, TN, USA.
Guanhua ChenTennessee Valley Healthcare System, Veterans Affairs Medical Center, Nashville, TN, USA.
Glenn GobbelTennessee Valley Healthcare System, Veterans Affairs Medical Center, Nashville, TN, USA.
Nancy WellsTennessee Valley Healthcare System, Veterans Affairs Medical Center, Nashville, TN, USA.
Michael E MathenyTennessee Valley Healthcare System, Veterans Affairs Medical Center, Nashville, TN, USA.ORCID 0000-0003-3217-4147
Vanderbilt University · USAstraZeneca (United States) · USUniversity of Wisconsin–Madison · USVA Tennessee Valley Healthcare System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This research describes the prevalence and covariates associated with opioid-induced constipation (OIC) in an observational cohort study utilizing a national veteran cohort and integrated data from the Center for Medicare and Medicaid Services (CMS). Methods: A cohort of 152,904 veterans with encounters between 1 January 2008 and 30 November 2010, an exposure to opioids of 30 days or more, and no exposure in the prior year was developed to establish existing conditions and medications at the start of the opioid exposure and determining outcomes through the end of exposure. OIC was identified through additions/changes in laxative prescriptions, all-cause constipation identification through diagnosis, or constipation related procedures in the presence of opioid exposure. The association of time to constipation with opioid use was analyzed using Cox proportional hazard regression adjusted for patient characteristics, concomitant medications, laboratory tests, and comorbidities. Results: The prevalence of OIC was 12.6%. Twelve positively associated covariates were identified with the largest associations for prior constipation and prevalent laxative (any laxative that continued into the first day of opioid exposure). Among the 17 negatively associated covariates, the largest associations were for erythromycins, androgens/anabolics, and unknown race. Conclusions: There were several novel covariates found that are seen in the all-cause chronic constipation literature but have not been reported for opioid-induced constipation. Some are modifiable covariates, particularly medication coadministration, which may assist clinicians and researchers in risk stratification efforts when initiating opioid medications. The integration of CMS data supports the robustness of the analysis and may be of interest in the elderly population warranting future examination.

Indexed as

AgedAnalgesics, OpioidCohort StudiesFemaleHumansLaxativesMaleOpioid-Induced ConstipationPrevalenceRetrospective StudiesRisk FactorsUnited StatesVeteransAnalgesics, OpioidLaxatives

Identifiers

PMID32318129
PMCPMC7149448
OpenAlexW3013010531

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.