Evidence map›Paper›PMID 25095877›Full record

ArticleBMJ open2014

Age and sex patterns of premature mortality in India.

Manisha Dubey, Sanjay K Mohanty

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 7% of its field
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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Observational
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  8. Hypertension prevalence as a function of different guidelines, India.Bulletin of the World Health Organization · 2019
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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

2 authors at 1 institution in 1 country.

Manisha DubeyInternational Institute for Population Sciences, Mumbai, Maharashtra, India.
Sanjay K MohantyDepartment of Fertility Studies, International Institute for Population Sciences, Mumbai, Maharashtra, India.
International Institute for Population Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo estimate premature mortality by age, sex and cause of death in India.

backgroundStudies on premature mortality in India are limited. Although evidence suggests recent reductions in infant and child mortality, little is known about the age and sex patterns of premature deaths in India.

methodsSecondary data from the Sample Registration System and, census of India and report on cause of death. A set of indices are used to estimate the premature mortality were analysed. PRIMARY AND SECONDARY OUTCOME MEASURES: Standardised years of potential life lost (YPLL), premature years of potential life lost (PYPLL) and working years of potential life lost (WYPLL) for broad age groups and by selected causes of death.

resultsFrom 1991 to 2011, the age-standardised rate of YPLL (per 1000 population) declined from 310 to 235 for males and from 307 to 206 for females. The estimated YPLL (in millions) declined from 134 to 147 for males and from 123 to 108 for females, the YPLL for adults (aged 15-65) increased by 32% for males and 28% for females, the standardised PYPLL (per 1000 population) declined from 259 to 137 for males and from 258 to 115 for females, the estimated PYPLL increased by 13% for all adult males and by 32% for 30-45-year-old adult males, and the standardised rate of WYPLL declined from 274 to 131 for males and from 295 to 91 for females. These findings suggest a significant improvement in early childhood mortality and increasing mortality trends in 30-45-year-old adult males. The YPLL and WYPLL standardised rates for males and females were highest for cardiovascular disease.

conclusionsThe increasing share of premature deaths among adults and high levels of premature mortality suggest an improvement in child survival increased attention should be given to prevention and treatment of non-communicable diseases in order to avoid premature deaths in India.

Indexed as

AccidentsAdolescentAdultCardiovascular DiseasesCause of DeathDysenteryFemaleHumansIndiaLife ExpectancyMaleMiddle AgedMortality, PrematureNeoplasmsPopulation SurveillancePUBLIC HEALTH

Identifiers

PMID25095877
PMCPMC4127933
OpenAlexW1984650804

What OpenQuestion holds

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LicenceCC BY-NC
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.