Evidence map›Paper›PMID 37853346›Full record

ArticleBMC medical research methodology2023

Comparative age-period-cohort analysis.

Philip S Rosenberg, Adalberto Miranda-Filho, David C Whiteman

Open access · goldAbstract read
In one paragraph

Article in BMC medical research methodology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
21.7field-weighted citation impact, top 1% 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

18 citing papers in PubMed, 25 citations in OpenAlex.

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  4. The Burden of Parkinson's Disease Based on the GBD 2021.International journal of public health · 2026
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  9. [Analysis of epidemiological trends from 1990 to 2021 of liver cancer in China].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2025
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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

3 authors at 3 institutions in 2 countries.

Philip S RosenbergDivision of Cancer Epidemiology and Genetics, Biostatistics Branch, National Cancer Institute, NCI Shady Grove, Room 7E-130, 9609 Medical Center Drive, Bethesda, MD, 20892, USA. rosenbep@mail.nih.gov.
Adalberto Miranda-FilhoDivision of Cancer Epidemiology and Genetics, Biostatistics Branch, National Cancer Institute, NCI Shady Grove, Room 7E-130, 9609 Medical Center Drive, Bethesda, MD, 20892, USA.
David C WhitemanCancer Control Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Division of Cancer Epidemiology and GeneticsNational Cancer Institute · USQIMR Berghofer Medical Research Institute · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCancer surveillance researchers analyze incidence or mortality rates jointly indexed by age group and calendar period using age-period-cohort models. Many studies consider age- and period-specific rates in two or more strata defined by sex, race/ethnicity, etc. A comprehensive characterization of trends and patterns within each stratum can be obtained using age-period-cohort (APC) estimable functions (EF). However, currently available approaches for joint analysis and synthesis of EF are limited.

methodsWe develop a new method called Comparative Age-Period-Cohort Analysis to quantify similarities and differences of EF across strata. Comparative Analysis identifies whether the stratum-specific hazard rates are proportional by age, period, or cohort.

resultsProportionality imposes natural constraints on the EF that can be exploited to gain efficiency and simplify the interpretation of the data. Comparative Analysis can also identify differences or diversity in proportional relationships between subsets of strata ("pattern heterogeneity"). We present three examples using cancer incidence from the United States Surveillance, Epidemiology, and End Results Program: non-malignant meningioma by sex; multiple myeloma among men stratified by race/ethnicity; and in situ melanoma by anatomic site among white women.

conclusionsFor studies of cancer rates with from two through to around 10 strata, which covers many outstanding questions in cancer surveillance research, our new method provides a comprehensive, coherent, and reproducible approach for joint analysis and synthesis of age-period-cohort estimable functions.

Indexed as

MelanomaMultiple MyelomaCohort StudiesEthnicityFemaleHumansIncidenceMaleSEER ProgramUnited StatesAge-period-cohort modelCancer surveillance researchLexis diagramSEER program

Identifiers

PMID37853346
PMCPMC10585891
OpenAlexW4387737619

What OpenQuestion holds

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LicenceCC BY
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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.