Evidence map›Paper›PMID 36434028›Full record

ArticleScientific reports2022

The role of age inequalities in cause of death in the slow pace of epidemiological transition in India.

Suryakant Yadav, Arokiasamy Perianayagam, Shivani Anil Patel, Solveig Argeseanu Cunningham

Abstract read
In one paragraph

Article in Scientific reports, 2022. 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.

  1. Article
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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.

Suryakant YadavDepartment of Bio-Statistics and Epidemiology, International Institute for Population Sciences (IIPS), Mumbai, 400 088, India. suryakant11@gmail.com.ORCID 0000-0003-1579-9524
Arokiasamy PerianayagamNational Council of Applied Economic Research, New Delhi, India.
Shivani Anil PatelRollins School of Public Health, Emory University, Atlanta, USA.
Solveig Argeseanu CunninghamRollins School of Public Health, Emory University, Atlanta, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In developed countries, low disparity in lifespan contributed by the reduction in the burden of noncommunicable diseases (NCDs) is the key to advances in epidemiological transition. Contrarily, India passing through a phase of the dual burden of CDs and NCDs shows a heavy burden of NCDs responsible for the high disparity in lifespan. The Gini coefficient was decomposed for examining the contribution of 22 causes of death and their repercussions for inequality in age at death for 30 years between 1990-1994 and 2015-2019, using Global Burden of Disease data. The outcomes of the study reveal that India's epidemiological transition has been just modest on account of high inequality in mortality by NCDs emplaced in the middle through old age despite a consistent mortality decline at infant through old age for communicable diseases (CDs). The structural changes in causes of death structure is shaped by CDs rather than NCDs, but overall bolstered by the adult mortality decline, especially in women. However, the process is restrained by the small contribution of the middle age group and a benign contribution of old mortality decline owing to the low threshold age. India needs to target health interventions in seeking significant mortality decline in the middle age group of 50-69 years that is warranted for epidemiological transition apace as evident in the developed nations.

Indexed as

Communicable DiseasesNoncommunicable DiseasesAdultAgedCause of DeathFemaleHumansIndiaInfantLongevityMiddle Aged

Identifiers

PMID36434028
PMCPMC9700746

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