Evidence map›Paper›PMID 28560749›Full record

ArticleCancer medicine2017

Comparison of annual percentage change in breast cancer incidence rate between Taiwan and the United States-A smoothed Lexis diagram approach.

Li-Hsin Chien, Tzu-Jui Tseng, Chung-Hsing Chen, Hsin-Fang Jiang, Fang-Yu Tsai, Tsang-Wu Liu, Chao A Hsiung, I-Shou Chang

Abstract read
In one paragraph

Article in Cancer medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Comparative age-period-cohort analysis.BMC medical research methodology · 2023
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Development of a Quality of Sexual Life Questionnaire for Breast Cancer Survivors in Mainland China.Medical science monitor : international medical journal of experimental and clinical research · 2018
    Article
  7. The Association ofIn vivo (Athens, Greece)
    Article
  8. 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

8 authors.

Li-Hsin ChienDivision of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes, Taiwan.
Tzu-Jui TsengCenter of Biomedical Resources, National Health Research Institutes, Taiwan.ORCID http://orcid.org/0000-0002-9997-4205
Chung-Hsing ChenNational Institute of Cancer Research, National Health Research Institutes, Taiwan.
Hsin-Fang JiangNational Institute of Cancer Research, National Health Research Institutes, Taiwan.
Fang-Yu TsaiNational Institute of Cancer Research, National Health Research Institutes, Taiwan.
Tsang-Wu LiuNational Institute of Cancer Research, National Health Research Institutes, Taiwan.
Chao A HsiungDivision of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes, Taiwan.
I-Shou ChangDivision of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent studies compared the age effects and birth cohort effects on female invasive breast cancer (FIBC) incidence in Asian populations with those in the US white population. They were based on age-period-cohort model extrapolation and estimated annual percentage change (EAPC) in the age-standardized incidence rates (ASR). It is of interest to examine these results based on cohort-specific annual percentage change in rate (APCR) by age and without age-period-cohort model extrapolation. FIBC data (1991-2010) were obtained from the Taiwan Cancer Registry and the U.S. SEER 9 registries. APCR based on smoothed Lexis diagrams were constructed to study the age, period, and cohort effects on FIBC incidence. The patterns of age-specific rates by birth cohort are similar between Taiwan and the US. Given any age-at-diagnosis group, cohort-specific rates increased overtime in Taiwan but not in the US; cohort-specific APCR by age decreased with birth year in both Taiwan and the US but was always positive and large in Taiwan. Given a diagnosis year, APCR decreased as birth year increased in Taiwan but not in the US. In Taiwan, the proportion of APCR attributable to cohort effect was substantial and that due to case ascertainment was becoming smaller. Although our study shows that incidence rates of FIBC have increased rapidly in Taiwan, thereby confirming previous results, the rate of increase over time is slowing. Continued monitoring of APCR and further investigation of the cause of the APCR decrease in Taiwan are warranted.

Indexed as

AdultAgedAged, 80 and overAge FactorsBreast NeoplasmsCohort StudiesFemaleHumansIncidenceMiddle AgedRegistriesSEER ProgramTaiwanUnited StatesAge effectsannual percentage change in ratesbreast cancercohort effectsperiod effects

Identifiers

PMID28560749
PMCPMC5504335

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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.