Evidence map›Paper›PMID 27417643›Full record

ArticleInternational journal of public health2016

Age-specific cancer mortality trends in 16 countries.

Lee Liu, Kristen Liu

Abstract read
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In one paragraph

Article in International journal of public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. How to estimate mortality trends from grouped vital statistics.International journal of epidemiology · 2019
    Article
  3. Article
  4. Article
  5. 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

2 authors.

Lee LiuGeography Program, School of Environmental, Physical and Applied Sciences, University of Central Missouri, Humphreys 225, Warrensburg, MO, 64093, USA. laliu@ucmo.edu.
Kristen LiuIndependent Scholar, 1210 E. 54th St., Chicago, IL, 60615, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study explored previously little-known cancer mortality trends with a focus on changes with age and sex differences in 16 countries.

methodsTime series age-sex-specific cancer mortality, deaths from all causes, and population data were used for statistical description.

resultsThe cancer mortality rate (CMR) peaked and declined with age in 11 countries. CMRs appeared to peak earlier and decline more dramatically in earlier time periods rather than later periods and for males rather than females. CMR peaking could have possibly been historically delayed. Moreover, "percentage of deaths from cancer" (PDC) in all 16 countries plunged after about age 60. Middle-aged women may have higher CMRs than men. Premenopausal women may have higher PDCs than postmenopausal women.

conclusionsThe findings make significant contributions to the literature, though their interpretation and application have limitations due to data quality and availability. Future research should explore if and how the findings apply to other countries and time periods. Public health practitioners and policy makers should consider age-sex-specific strategies for more effective cancer control.

Indexed as

AdolescentAdultAgedAged, 80 and overAge DistributionCause of DeathChildChild, PreschoolFemaleGlobal HealthHumansInfantMaleMiddle AgedNeoplasmsPostmenopauseAgingCancer epidemiologyCommunity healthGenderInternational healthPublic health methodology

Identifiers

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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.