Evidence map›Paper›PMID 32102513›Full record

ArticleAsian Pacific journal of cancer prevention : APJCP2020

Impact of New Standardized Population for Estimating Cancer Incidence in Indian Context- an Analysis from National Cancer Registry Programme (NCRP).

SathishKumar K, Vaitheeswaran K, Stephen S, Sathya N, Prashant Mathur

Open access · goldAbstract read
In one paragraph

Article in Asian Pacific journal of cancer prevention : APJCP, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 50% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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

5 authors at 1 institution in 1 country.

SathishKumar KNational Centre for Disease Informatics and Research, Indian Council of Medical Research (ICMR), Bangalore, India.
Vaitheeswaran KNational Centre for Disease Informatics and Research, Indian Council of Medical Research (ICMR), Bangalore, India.
Stephen SNational Centre for Disease Informatics and Research, Indian Council of Medical Research (ICMR), Bangalore, India.
Sathya NNational Centre for Disease Informatics and Research, Indian Council of Medical Research (ICMR), Bangalore, India.
Prashant MathurNational Centre for Disease Informatics and Research, Indian Council of Medical Research (ICMR), Bangalore, India.
National Centre for Disease Informatics and Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveStandardization adjusts for variations in population age-distribution and provides a summary measure for the comparison of populations and comparisons of time-trends in population. Globally, several standard population were used by many countries for comparison of rates. Segi World Standard Population (WSP) is suitable for international comparison. However, national standard population would be more appropriate for Intra-national comparison as the standard should be similar to the population of interest. This study aimed to develop Indian Standard Population (ISP) for estimating Age Adjusted Rate (AAR) and, to understand the outcome on the cancer incidence rate using ISP in Population Based Cancer Registries (PBCRs).

methodsThe Indian Standard Population was estimated based on the average age structure of three Censuses (1991,2001 and 2011). Age Adjusted Rate has been estimated using two standard populations of WSP and ISP for magnitude of change and comparison between 15 PBCRs in India.

resultsThe implementation of ISP led to overall 20% reduction in AAR for all sites of cancers in both sexes and minor relative changes in the ranking among PBCRs. Time trends in cancer incidence rate showed same temporal pattern curve using both ISP and WSP, AARs.

conclusionThe ISP would be more representative of the age-structure of Indian registries population and this would give more realistic comparison across the different PBCRs in India.

Indexed as

AdolescentAdultAgedAge DistributionChildChild, PreschoolFemaleFollow-Up StudiesHumansIncidenceIndiaInfantInfant, NewbornMaleMiddle AgedNeoplasmsage adjusted rateAge Standardised RateIndian Standard PopulationNational populationNCDIR

Identifiers

PMID32102513
PMCPMC7332121
OpenAlexW3006857910

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.