Evidence map›Paper›PMID 38239709›Full record

ArticleAging medicine (Milton (N.S.W))2023

Statistical modeling and estimating number of healthy life years lost and healthy life expectancy in India, 2000-2019.

Diptismita Jena, Prafulla Kumar Swain, Manas Ranjan Tripathy, Pravat Kumar Sarangi

Abstract read
In one paragraph

Article in Aging medicine (Milton (N.S.W)), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

4 authors.

Diptismita JenaDepartment of Statistics Ravenshaw University Cuttack Odisha India.ORCID https://orcid.org/0000-0003-0555-2704
Prafulla Kumar SwainDepartment of Statistics Utkal University Bhubaneswar Odisha India.ORCID https://orcid.org/0000-0002-1357-501X
Manas Ranjan TripathyDepartment of Statistics Ravenshaw University Cuttack Odisha India.ORCID https://orcid.org/0000-0002-0772-3661
Pravat Kumar SarangiDepartment of Statistics Ravenshaw University Cuttack Odisha India.ORCID https://orcid.org/0000-0003-3435-0300

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: In this study, our objective is to propose various models to estimate healthy life year lost (HLYL) and healthy life expectancy (HLE) in India. Methods: The HLYL and HLE were estimated and further these estimates were compared with the direct life table method and the World Health Organization (WHO) method. From the mortality perspective, we have developed a log-logistic model for estimating the parameter (bx), which is characterized by HLYL. The results were compared with other models, such as the Gompertz and Weibull model. Here, we have also obtained the HLE by subtracting HLYL from the total life expectancy. Results: The result shows an increasing trend of HLYL among the male, female, and the total population in India. Conclusion: From the log-logistic model, the HLYL was estimated as 8.79 years, 8.36 years, and 9.38 years for the total, male, and female populations, respectively, in India during 2019.

Indexed as

healthy life expectancy (HLE)healthy life year lost (HLYL)life expectancy (LE)mortalitystatistical modeling

Identifiers

PMID38239709
PMCPMC10792328

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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.