Evidence map›Paper›PMID 36307792›Full record

ArticleBMC public health2022

Worldwide cancer statistics of adults over 75 years old in 2019: a systematic analysis of the global burden of disease study 2019.

Danhong Xiang, Shiwei Hu, Tianxiang Mai, Xinlu Zhang, Lan Zhang, Shengjie Wang, Keyi Jin, Jian Huang

Abstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
–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

36 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. AI-accelerated prostate MRI: a systematic review.The British journal of radiology · 2024
    Pooled it
  2. Effects of advance care planning on hope, anxiety, attitudes, and behavioral intentions in older adults with cancer: A randomized controlled study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 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

8 authors.

Danhong Xiang *Department of Haematology, College of Medicine, The Fourth Affiliated Hospital, Zhejiang University, 322000, Zhejiang, People's Republic of China.
Shiwei Hu *Department of Haematology, College of Medicine, The Fourth Affiliated Hospital, Zhejiang University, 322000, Zhejiang, People's Republic of China.
Tianxiang Mai *Wenzhou Medical University, 325035, Zhejiang, People's Republic of China.
Xinlu ZhangDepartment of Haematology, College of Medicine, The Fourth Affiliated Hospital, Zhejiang University, 322000, Zhejiang, People's Republic of China.
Lan ZhangDepartment of Haematology, College of Medicine, The Fourth Affiliated Hospital, Zhejiang University, 322000, Zhejiang, People's Republic of China.
Shengjie WangDepartment of Haematology, College of Medicine, The Fourth Affiliated Hospital, Zhejiang University, 322000, Zhejiang, People's Republic of China.
Keyi JinDepartment of Haematology, College of Medicine, The Fourth Affiliated Hospital, Zhejiang University, 322000, Zhejiang, People's Republic of China.
Jian HuangDepartment of Haematology, College of Medicine, The Fourth Affiliated Hospital, Zhejiang University, 322000, Zhejiang, People's Republic of China. househuang@zju.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeCancer has become one of the major killers of humanity due to the number of people over the age of 75 increasing with population ageing. The aim of this study was to analyse the incidence and mortality rates in people over 75 of 29 cancer types in 204 countries and regions, as well as the trends from 1990 to 2019.

methodsTwenty-nine cancer types were collected from the Global Burden of Disease (GBD) 2019 database( https://vizhub.healthdata.org/gbd-results/ ). We collected global cancer data for 2019 in terms of sex, age, sociodemographic index (SDI), region, etc. The estimated annual percentage change (EAPC) was calculated to assess the trend of the cancer incidence and mortality rate from 1990 to 2019.

resultsIn 2019, the number of new cancer cases and deaths among people 75 and older was almost 3 and 4.5 times that of 1990, respectively. From 1990 to 2019, there was a slow rise in incidence and a slight decline in mortality. There were significant differences in the cancer burden based on sex, age, region, and SDI. The cancer burden in men was higher than in women. In addition, the cancer burden varied from region to region. The highest cancer burden occurred in high-income North America. In addition, the higher the SDI was, the greater the burden of cancer. The incidence of cancer in high SDI was approximately seven times that of low SDI, and the trend of increase in high SDI was obvious. However, the trend of mortality in high SDI was decreasing, while it was increasing in low SDI.

conclusionsThe present study focused on the cancer burden in adults over 75 years old. The findings in the study could serve as the basis for an analysis of the types of cancers that are most prevalent in different regions. This is beneficial for strategies of prevention and treatment according to the characteristics of different countries and regions to reduce the burden of cancer in older adults.

Indexed as

Global Burden of DiseaseNeoplasmsAgedFemaleGlobal HealthHumansIncidenceMaleQuality-Adjusted Life YearsAdults over 75 years oldCancer burdenDeath rateIncidenceTrend

Identifiers

PMID36307792
PMCPMC9617321

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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.