Evidence map›Paper›PMID 38477520›Full record

ArticleDemography2024

Research Note: A Novel Sullivan Method Projection Framework With Application to Long COVID.

Cayley Ryan-Claytor, Ashton Verdery

Abstract read
In one paragraph

Article in Demography, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Cayley Ryan-ClaytorDepartment of Sociology and Criminology, and Population Research Institute, The Pennsylvania State University, University Park, PA, USA.ORCID 0009-0002-5728-4975
Ashton VerderyDepartment of Sociology and Criminology, and Population Research Institute, The Pennsylvania State University, University Park, PA, USA.ORCID 0000-0003-1005-7580

Funding

The Population Research Institute: Development CoreP2CHD041025 · NICHD · PENNSYLVANIA STATE UNIVERSITY, THE · PI Sarah Damaske · 2016 to 2026
$9.0M
Crossnational Comparisons of Kinlessness and Health: Past, Present and FutureR01AG060949 · NIA · PENNSYLVANIA STATE UNIVERSITY, THE · PI VERDERY, ASHTON MICHAEL · 2019 to 2023
$1.6M
NIA NIH HHS R01 AG060949NICHD NIH HHS P2C HD041025
6 · The paper itself

Abstract

Originally developed for estimating healthy life expectancy, the traditional Sullivan method continues to be a popular tool for obtaining point-in-time estimates of the population impacts of a wide range of health and social conditions. However, except in rare data-intensive cases, the method is subject to stringent stationarity assumptions, which often do not align with real-world conditions and restrict its resulting estimates and applications. In this research note, we present an expansion of the original method to apply within a population projection framework. The Sullivan method projection framework produces estimates that offer new insights about future trends in population health and social arrangements under various demographic and epidemiologic scenarios, such as the percentage of life years that population members can expect to spend with a condition of interest in a time interval under different assumptions. We demonstrate the utility of this framework using the case of long COVID, illustrating both its operation and potential to reveal insights about emergent population health challenges under various theoretically informed scenarios. The traditional Sullivan method provides a summary measure of the present, while its incorporation into a projection framework enables preparation for a variety of potential futures.

Indexed as

COVID-19Life ExpectancyHumansPost-Acute COVID-19 SyndromeLong COVIDMorbidityMortalityProjectionSullivan method

Identifiers

PMID38477520
PMCPMC11824447

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.