Evidence map›Paper›PMID 39060629›Full record

ArticleEuropean journal of population = Revue europeenne de demographie2024

Cross-sectional Average Length of Life Entropy (

Wen Su, Vladimir Canudas-Romo

Erratum issuedAbstract read
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In one paragraph

Article in European journal of population = Revue europeenne de demographie, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

5 · Who and what money

Authors and funding

2 authors.

Wen SuSchool of Demography, College of Arts and Social Sciences, Australian National University, Canberra, Australia. Wen.su@anu.edu.au.ORCID http://orcid.org/0000-0001-9972-1665
Vladimir Canudas-RomoSchool of Demography, College of Arts and Social Sciences, Australian National University, Canberra, Australia.

Funding

Australian Research Council DP210100401
6 · The paper itself

Abstract

Keyfitz and Leser's life table entropy was proposed to serve as a relative inequality in mortality measure. Entropy considers the variation around the age at death relative to the length of lifespan in a population, allowing comparisons across time and populations. It is used widely in period and cohort applications. Here, we propose extending this measure and present an index that incorporates the history of survival of all cohorts present at a given time, namely the cross-sectional average length of life entropy, or CAL-entropy (

Indexed as

CALDecomposition methodsLifespan inequalityLifespan variationLife table entropy

Identifiers

PMID39060629
PMCPMC11282051

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.