Evidence map›Paper›PMID 37295513›Full record

ArticleTheoretical population biology2023

Decomposition of disparities in life expectancy with applications to administrative health claims and registry data.

I Akushevich, A Yashkin, M Kovtun, E Stallard, A I Yashin, J Kravchenko

Abstract read
In one paragraph

Article in Theoretical population biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

I AkushevichBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, United States of America. Electronic address: ia6@duke.edu.
A YashkinBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, United States of America.
M KovtunBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, United States of America.
E StallardBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, United States of America.
A I YashinBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, United States of America.
J KravchenkoDepartment of Surgery, Duke University School of Medicine, Durham, NC, United States of America.

Funding

Migrating the National Long Term Care Survey to the MedRIC Health and Aging Data EnclaveR01AG063971 · NIA · DUKE UNIVERSITY · PI STALLARD, P.J. ERIC · 2020 to 2024
$4.1M
Racial and Geographic Disparities in Risk and Survival of Alzheimer's Disease and Related DementiasR01AG066133 · NIA · DUKE UNIVERSITY · PI AKUSHEVICH, IGOR · 2019 to 2023
$3.7M
Genetics of changes in population pyramids: Implications for health forecasting with a focus on Alzheimer's Disease and related dementiasRF1AG046860 · NIA · DUKE UNIVERSITY · PI YASHIN, ANATOLIY I · 2019 to 2019
$3.1M
YASHIN Admin Supp: Time Trends in Alzheimer's Disease: Addressing the Changing Role of Risk Factors and Instrument ValidityR01AG046860 · NIA · DUKE UNIVERSITY · PI YASHIN, ANATOLIY I · 2014 to 2018
$3.1M
Determinants of geographic disparities in mortality and multimorbidity in the U.S.R01AG057801 · NIA · DUKE UNIVERSITY · PI AKUSHEVICH, IGOR, KRAUCHANKA, YULIYA · 2019 to 2023
$2.1M
NIA NIH HHS R01 AG046860NIA NIH HHS R01 AG057801NIA NIH HHS R01 AG063971NIA NIH HHS R01 AG066133NIA NIH HHS RF1 AG046860
6 · The paper itself

Abstract

Research shows that geographic disparities in life expectancy between leading and lagging states are increasing over time while racial disparities between Black and White Americans have been going down. In the 65+ age strata morbidity is the most common cause of death, making differences in morbidity and associated adverse health-related outcomes between advantaged and disadvantaged groups an important aspect of disparities in life expectancy at age 65 (LE65). In this study, we used Pollard's decomposition to evaluate the disease-related contributions to disparities in LE65 for two types of data with distinctly differing structures: population/registry and administrative claims. To do so, we analyzed Pollard's integral, which is exact by construction, and developed exact analytic solutions for both types of data without the need for numerical integration. The solutions are broadly applicable and easily implemented. Applying these solutions, we found that the largest relative contributions to geographic disparities in LE65 were chronic lower respiratory diseases, circulatory diseases, and lung cancer; and, to racial disparities: arterial hypertension, diabetes mellitus, and cerebrovascular diseases. Overall, the increase in LE65 observed over 1998-2005 and 2010-2017 was primarily due to a reduction in the contributions of acute and chronic ischemic diseases; this was partially offset by increased contributions of diseases of the nervous system including dementia and Alzheimer's disease.

Indexed as

Chronic DiseaseLife ExpectancyRoutinely Collected Health DataAgedHumansUnited StatesDecomposition methodsDisparitiesLife expectancy at 65MedicareTime trends

Identifiers

PMID37295513
PMCPMC10526891

What Socratic holds

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Registered trials

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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 Socratic graph.