Evidence map›Paper›PMID 30976262›Full record

ArticleEuropean journal of population = Revue europeenne de demographie2018

Trends in the Quantiles of the Life Table Survivorship Function.

Jorge M Uribe, Helena Chuliá, Montserrat Guillen

Abstract read
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In one paragraph

Article in European journal of population = Revue europeenne de demographie, 2018. 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

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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

3 authors.

Jorge M Uribe1Economics Department, Facultad de Ciencias Sociales y Económicas, Universidad del Valle, Calle 13, 100-00, Ciudadela Universitaria Meléndez Cali, Cali, Colombia.
Helena Chuliá3Riskcenter-IREA and Department of Econometrics, Facultat de Ciències Econòmiques i Empresarials, University of Barcelona, Diagonal, 690, 08034 Barcelona, Spain.
Montserrat Guillen3Riskcenter-IREA and Department of Econometrics, Facultat de Ciències Econòmiques i Empresarials, University of Barcelona, Diagonal, 690, 08034 Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We offer a new approach for modeling past trends in the quantiles of the life table survivorship function. Trends in the quantiles are estimated, and the extent to which the observed patterns fit the unit root hypothesis or, alternatively, an innovative outlier model, are conducted. Then a factor model is applied to the detrended data, and it is used to construct quantile cycles. We enrich the ongoing discussion about human longevity extension by calculating specific improvements in the distribution of the survivorship function, across its full range, and not only at the central-age ranges. To illustrate our proposal, we use data for the UK from 1922 to 2013. We find that there is no sign in the data of any reduction in the pace of longevity extension during the last decades.

Indexed as

Longevity extensionLongevity riskPopulation agingStructural breaksSurvivorship function quantiles

Identifiers

PMID30976262
PMCPMC6261849

What OpenQuestion 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 OpenQuestion graph.