Evidence map›Paper›PMID 30927359›Full record

ArticleAmerican journal of epidemiology2019

Restriction of Pharmacoepidemiologic Cohorts to Initiators of Medications in Unrelated Preventive Drug Classes to Reduce Confounding by Frailty in Older Adults.

Henry T Zhang, Leah J McGrath, Alan R Ellis, Richard Wyss, Jennifer L Lund, Til Stürmer

Abstract read
In one paragraph

Article in American journal of epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. 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

6 authors.

Henry T ZhangDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Leah J McGrathNoviSci, LLC, Durham, North Carolina.
Alan R EllisDepartment of Social Work, College of Humanities and Social Sciences, North Carolina State University, Raleigh, North Carolina.
Richard WyssDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Jennifer L LundDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Til StürmerDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.

Funding

Re-Entry Supplement: Investigation of Oral Microbial Enzymes for the Detection and Treatment of Periodontal DiseaseUL1TR002489 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BUSE, JOHN BERNARD, SHAHEEN, NICHOLAS J · 2018 to 2022
$48.6M
Propensity scores and preventive drug use in the elderlyR01AG056479 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Til Sturmer · 2017 to 2026
$5.0M
Methods for Estimating Sex Differences in Safety and Effectiveness of DrugsR01HL118255 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI JONSSON FUNK, MICHELE LAURA · 2014 to 2017
$1.7M
PROMIS Validation in Prospective Population-based Prostate Cancer Research StudyR01CA174453 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI CHEN, RONALD, REEVE, BRYCE B · 2012 to 2016
$1.4M
Patterns of use, comparative effectiveness, and safety of rotavirus vaccinesR21HD080214 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BROOKHART, MAURICE ALAN · 2014 to 2015
$413k
NCATS NIH HHS UL1 TR002489NCI NIH HHS R01 CA174453NHLBI NIH HHS R01 HL118255NIA NIH HHS R01 AG056479NICHD NIH HHS R21 HD080214
6 · The paper itself

Abstract

Nonexperimental studies of the effectiveness of seasonal influenza vaccine in older adults have found 40%-60% reductions in all-cause mortality associated with vaccination, potentially due to confounding by frailty. We restricted our cohort to initiators of medications in preventive drug classes (statins, antiglaucoma drugs, and β blockers) as an approach to reducing confounding by frailty by excluding frail older adults who would not initiate use of these drugs. Using a random 20% sample of US Medicare beneficiaries, we framed our study as a series of nonrandomized "trials" comparing vaccinated beneficiaries with unvaccinated beneficiaries who had an outpatient health-care visit during the 5 influenza seasons occurring in 2010-2015. We pooled data across trials and used standardized-mortality-ratio-weighted Cox proportional hazards models to estimate the association between influenza vaccination and all-cause mortality before influenza season, expecting a null association. Weighted hazard ratios among preventive drug initiators were generally closer to the null than those in the nonrestricted cohort. Restriction of the study population to statin initiators with an uncensored approach resulted in a weighted hazard ratio of 1.00 (95% confidence interval: 0.84, 1.19), and several other hazard ratios were above 0.95. Restricting the cohort to initiators of medications in preventive drug classes can reduce confounding by frailty in this setting, but further work is required to determine the most appropriate criteria to use.

Indexed as

Frail ElderlyPharmacoepidemiologyAdrenergic beta-AntagonistsAgedCause of DeathConfounding Factors, EpidemiologicFemaleGlaucomaHumansHydroxymethylglutaryl-CoA Reductase InhibitorsInfluenza, HumanInfluenza VaccinesMaleMedicareSeasonsUnited StatesAdrenergic beta-AntagonistsHydroxymethylglutaryl-CoA Reductase InhibitorsInfluenza Vaccinesconfounding factors (epidemiology)frail elderlyfrailtyinfluenza vaccines

Identifiers

PMID30927359
PMCPMC6601528

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.