Evidence map›Paper›PMID 36130684›Full record

ArticleJournal of advanced research2023

The mortalities of female-specific cancers in China and other countries with distinct socioeconomic statuses: A longitudinal study.

Dongming Jiang, Zheyun Niu, Xiaojie Tan, Haiwei He, Longbing Ren, Jiaying Shen, Xiaoqiong Zhu, Pei Zhao, Mei Liu, Hongsen Chen and 3 more

Abstract read
In one paragraph

Article in Journal of advanced research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

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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

13 authors.

Dongming JiangShanghai East Hospital, Key Laboratory of Arrhythmias, Ministry of Education, Tongji University School of Medicine Tongji University, Shanghai 200120, China.
Zheyun NiuShanghai East Hospital, Key Laboratory of Arrhythmias, Ministry of Education, Tongji University School of Medicine Tongji University, Shanghai 200120, China.
Xiaojie TanDepartment of Epidemiology, Second Military Medical University, Shanghai 200433, China.
Haiwei HeDepartment of Gynecology and Obstetrics, Changhai Hospital, Shanghai, 200433, China.
Longbing RenShanghai East Hospital, Key Laboratory of Arrhythmias, Ministry of Education, Tongji University School of Medicine Tongji University, Shanghai 200120, China.
Jiaying ShenShanghai East Hospital, Key Laboratory of Arrhythmias, Ministry of Education, Tongji University School of Medicine Tongji University, Shanghai 200120, China.
Xiaoqiong ZhuDepartment of Nutrition, School of Public Health, Anhui Medical University, Hefei 230032, China.
Pei ZhaoCancer Hospital, Guangxi Medical University, Nanning 530021, China.
Mei LiuDepartment of Epidemiology, Second Military Medical University, Shanghai 200433, China.
Hongsen ChenDepartment of Epidemiology, Second Military Medical University, Shanghai 200433, China.
Ruihua WangDepartment of Epidemiology, Jinan University School of Medicine, Guangzhou 510632, China.
Qi LiDepartment of Vital Statistics, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China.
Guangwen CaoShanghai East Hospital, Key Laboratory of Arrhythmias, Ministry of Education, Tongji University School of Medicine Tongji University, Shanghai 200120, China; Department of Epidemiology, Second Military Medical University, Shanghai 200433, China. Electronic address: gcao@smmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionFemale-specific cancers seriously affect physical and psychological health of women worldwide.

objectivesWe aimed to elucidate trends in the age-standardized mortality rates (ASMRs) of breast cancer, cervical cancer, uterine cancer, and ovarian cancer in female populations with different socioeconomic statuses in China and in countries with different Human Development Index (HDI).

methodsA longitudinal study was performed using the data of cancer death in China and other 39 countries. The mortality rates were standardized with the Segi's world population. Trends in the mortalities were exhibited by estimated annual percentage change (EAPC). Pearson correlation was used to assess the association between EAPC and HDI.

resultsIn mainland China, female breast cancer, cervical cancer, uterine cancer, and ovarian cancer accounted for 6.60 %, 4.21 %, 2.50 %, and 2.02 % of cancer death (n = 1,314,040) in women with 1,220,251,032 person-years, respectively. The ASMRs of cervical cancer (EAPC = 3.87 %, P < 0.001) and ovarian cancer (EAPC = 1.81 %, P < 0.001) increased, that of female breast cancer unchanged, whereas that of uterine cancer was extremely higher and rapidly decreased (EAPC =  - 7.65 %, P < 0.001), during 2004-2019. The ASMRs of female breast and ovarian cancers were higher in urban and developed regions than in rural and undeveloped regions, in contrast to cervical and uterine cancers. The ASMRs of female breast and ovarian cancers were lower in China than in other countries, in contrast to uterine cancer. The ASMR of cervical cancer decreased, that of uterine cancer increased, in other countries during 2004-2017. EAPCs for the ASMRs of breast and ovarian cancers were inversely correlated to HDI.

conclusionThe ASMRs of cervical and ovarian cancers increased, in contrast to uterine cancer, in China during socioeconomic transition. Trends in the ASMRs of breast and ovarian cancers were inversely associated with HDI. These data help control female-specific cancers.

Indexed as

Breast NeoplasmsOvarian NeoplasmsUterine Cervical NeoplasmsUterine NeoplasmsChinaFemaleHumansLongitudinal StudiesSocial ClassChinaDeveloped countryDeveloping countryFemale-specific cancerLongitudinal studyMortality

Identifiers

PMID36130684
PMCPMC10334254

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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.