Evidence map›Paper›PMID 29943745›Full record

ArticleJournal of postgraduate medicine

Unconditional probability of dying and age-specific mortality rate because of major non-communicable diseases in India: Time trends from 2001 to 2013.

M M Reddy, S S Kar

Open access · diamondAbstract read
In one paragraph

Article in Journal of postgraduate medicine. 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
3.0field-weighted citation impact, top 9% 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

7 citing papers in PubMed, 14 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

M M ReddyDepartment of Community Medicine, Sri Devaraj Urs Medical College, Tamaka, Kolar, Karnataka, India.
S S KarDepartment of Preventive and Social Medicine, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India.
Jawaharlal Institute of Post Graduate Medical Education and Research · INSri Devaraj Urs Medical College · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Unconditional probability of dying because of four major non-communicable diseases (NCDs) between 30 and 70 years of age is the selected global indicator to measure the impact of NCD prevention and control programs. Objective: To calculate the unconditional probability of dying and age-specific mortality rate because of major NCDs in India from 2001 to 2013. Methods: This study used multiple data sources that are available in the public domain-Census 2001 and 2011, Sample Registration System, causes of death reports in 2001-03, 2004-06, and 2010-13. Unconditional probability of dying between ages 30 and 70 years during 2001, 2006, and 2013 was calculated by the formula suggested by the World Health Organization. Line graphs were used to depict time trends in age-specific mortality rates over the years in four major NCDs (cardiovascular diseases, cancer, diabetes, and chronic respiratory diseases). Results: The age-specific mortality rate because of four NCDs showed a decrease of 51 deaths per 100,000 population from 2001 to 2013. Of the four NCDs, age-specific mortality rate was highest in cardiovascular diseases (238.2/100,000 population) and least in diabetes mellitus (21.9/100,000 population); it was 76.3 and 58.2/100,000 population for cancer and chronic respiratory diseases, respectively. The probability of dying was very less and was almost the same from 30 to 44 years of life and increased steeply after that till 70 years of life; and it was more in males (24%) compared with females (17.4%). Conclusion: Although India has shown a decreasing trend in premature mortality because of NCDs in the past decade, the rate of decrease is not on par to achieve the global "25 × 25" target.

Indexed as

Life ExpectancyMortality, PrematureAdultAgedCardiovascular DiseasesCause of DeathDiabetes MellitusFemaleHumansIndiaMaleMiddle AgedNeoplasmsNoncommunicable DiseasesRisk FactorsAge-specific mortality ratenon-communicable diseaseprobability of dying

Identifiers

PMID29943745
PMCPMC6380139
OpenAlexW2809633030

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.