Evidence map›Paper›PMID 37726479›Full record

ArticleBritish journal of cancer2023

Years of life lost due to cancer in the United Kingdom from 1988 to 2017.

Amar S Ahmad, Judith Offman, Christine Delon, Bernard V North, Jon Shelton, Peter D Sasieni

Abstract read
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Article in British journal of cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  6. Review
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

6 authors.

Amar S Ahmad *Cancer Intelligence, Cancer Research UK, London, UK.
Judith Offman *Cancer Prevention Group, School of Cancer and Pharmaceutical Sciences, King's College London, London, UK. j.m.offman@qmul.ac.uk.ORCID 0000-0001-5604-1635
Christine DelonCancer Intelligence, Cancer Research UK, London, UK.ORCID 0000-0001-5163-1716
Bernard V NorthCancer Research UK and King's College London Cancer Prevention Trials Unit, Cancer Prevention Group, School of Cancer and Pharmaceutical Sciences, King's College London, London, UK.
Jon SheltonCancer Intelligence, Cancer Research UK, London, UK.
Peter D SasieniCancer Prevention Group, School of Cancer and Pharmaceutical Sciences, King's College London, London, UK.ORCID 0000-0003-1509-8744

Funding

Cancer Research UK C8162/A16892Cancer Research UK C8162/A25356
6 · The paper itself

Abstract

backgroundWe investigated the application of years of life lost (YLL) in routine cancer statistics using cancer mortality data from 1988 to 2017.

methodsCancer mortality data for 17 cancers and all cancers in the UK from 1988 to 2017 were provided by the UK Association of Cancer Registries by sex, 5-year age group, and year. YLL, age-standardised YLL rate (ASYR) and age-standardised mortality rate (ASMR) were estimated.

resultsThe annual average YLL due to cancer, in the time periods 1988-1992 and 2013-2017, were about 2.2 and 2.3 million years, corresponding to 4510 and 3823 ASYR per 100,000 years, respectively. During 2013-2017, the largest number of YLL occurred in lung, bowel and breast cancer. YLL by age groups for all cancers showed a peak between 60-64 and 75-79. The relative contributions to incidence, mortality, and YLL differ between cancers. For instance, pancreas (in women and men) made up a smaller proportion of incidence (3%) but bigger proportion of mortality (6 and 5%) and YLL (5 and 6%), whereas prostate cancer (26% of incidence) contributed 13% mortality and 9% YLL.

conclusionYLL is a useful measure of the impact different cancers have on society and puts a higher weight on cancer deaths in younger individuals.

Indexed as

Breast NeoplasmsProstatic NeoplasmsHumansLife ExpectancyMaleRegistriesUnited Kingdom

Identifiers

PMID37726479
PMCPMC10645733

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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.