Evidence map›Paper›PMID 28751789›Full record

ArticleGenus2017

Trends in inequality in length of life in India: a decomposition analysis by age and causes of death.

Abhishek Singh, Ankita Shukla, Faujdar Ram, Kaushalendra Kumar

Abstract read
In one paragraph

Article in Genus, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Government Health Expenditure and Public Health Outcomes: A Comparative Study among EU Developing Countries.International journal of environmental research and public health · 2021
    Article
  5. Impact of social factors on medical illnesses and their management.Journal of family medicine and primary care · 2021
    Article
  6. Progress of Inequality in Age at Death in India: Role of Adult Mortality.European journal of population = Revue europeenne de demographie · 2021
    Article
  7. Article
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.

Abhishek SinghDepartment of Public Health & Mortality Studies, International Institute for Population Sciences, Mumbai, 400 088 India.
Ankita ShuklaInternational Institute for Population Sciences, Mumbai, 400 088 India.
Faujdar RamInternational Institute for Population Sciences, Mumbai, 400 088 India.
Kaushalendra KumarDepartment of Public Health & Mortality Studies, International Institute for Population Sciences, Mumbai, 400 088 India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStudies dealing with trends in inequality in length of life in India are rare. Studies documenting the contribution of age and causes of death to the inequality in length of life are more limited.

objectiveThe study aims to examine the trends in inequality in length of life in India and 15 major states of India and to decompose the inequality in length of life into the contributions of age and causes of death.

methodWe use life table Gini coefficient (

resultThe

conclusionFuture studies must analyze inequality in life expectancy for assessing the performance of societies regarding length of life. CONTRIBUTION: This is the first study that provides compelling evidence on inequality in length of life in India and its major states.

Indexed as

Decomposition by age and causes of deathGini coefficientGlobal Burden of Disease StudyIndiaInequality in length of lifeSample Registration System

Identifiers

PMID28751789
PMCPMC5504219

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.