Evidence map›Paper›PMID 37178138›Full record

ArticleDiabetologia2023

Age at diagnosis modifies associations of type 2 diabetes with cancer incidence and mortality: a retrospective matched-cohort study.

Zongming Yang, Yonghao Wu, Lisha Xu, Zhanghang Zhu, Tiezheng Li, Luhua Yu, Kai Gao, Xinhan Zhang, Peng Shen, Hongbo Lin and 6 more

Open access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in Diabetologia, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 16% 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

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

  1. 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

16 authors at 5 institutions in 1 country.

Zongming YangDepartment of Public Health, and Department of National Clinical Research Center for Child Health, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID http://orcid.org/0000-0002-5480-9273
Yonghao WuDepartment of Public Health, and Department of National Clinical Research Center for Child Health, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Lisha XuDepartment of Public Health, and Department of National Clinical Research Center for Child Health, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Zhanghang ZhuDepartment of Public Health, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Tiezheng LiDepartment of Public Health, and Department of National Clinical Research Center for Child Health, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Luhua YuDepartment of Public Health, and Department of National Clinical Research Center for Child Health, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Kai GaoDepartment of Public Health, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Xinhan ZhangDepartment of Public Health, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Peng ShenDepartment of Chronic Disease and Health Promotion, Yinzhou District Center for Disease Control and Prevention, Ningbo, China.
Hongbo LinDepartment of Chronic Disease and Health Promotion, Yinzhou District Center for Disease Control and Prevention, Ningbo, China.
Liming ShuiYinzhou District Health Bureau of Ningbo, Ningbo, China.
Mengling TangDepartment of Public Health, Fourth Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Mingjuan JinDepartment of Public Health, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Yexiang SunData Center, Yinzhou District Center for Disease Control and Prevention, Ningbo, China. 19464337@qq.com.
Jianbing WangDepartment of Public Health, and Department of National Clinical Research Center for Child Health, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China. wangjianbing@zju.edu.cn.ORCID http://orcid.org/0000-0002-5571-2174
Kun ChenDepartment of Public Health, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China. ck@zju.edu.cn.
Children's Hospital of Zhejiang University · CNSecond Affiliated Hospital of Zhejiang University · CNNingbo Center for Disease Control and Prevention · CNNingbo Science and Technology Bureau · CNZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aims/hypothesisThe age-specific associations between type 2 diabetes and cancer risk are not fully understood. The aim of this study was to assess how age at diagnosis modifies the associations between type 2 diabetes and cancer risk.

methodsWe used data from the Yinzhou Health Information System, and included 42,279 individuals who were newly diagnosed with type 2 diabetes between 2010 and 2014, as well as 166,010 age- and sex-matched control individuals without diabetes who were selected randomly from the electronic health records of the entire population. Patients were divided into four age groups according to age at diagnosis: <50, 50-59, 60-69 and ≥70 years. Stratified Cox proportional hazards regression models, with age as the time scale, were used to estimate the HRs and 95% CIs for the associations of type 2 diabetes with the risks of overall and site-specific cancers. Population-attributable fractions were also calculated for outcomes associated with type 2 diabetes.

resultsDuring median follow-up periods of 9.20 and 9.32 years, we identified 15,729 incident cancer cases and 5383 cancer deaths, respectively. Patients diagnosed with type 2 diabetes before 50 years of age had the highest relative risks of cancer incidence and mortality, with HRs (95% CI) of 1.35 (1.20, 1.52) for overall cancer incidence, 1.39 (1.11, 1.73) for gastrointestinal cancer incidence, 2.02 (1.50, 2.71) for overall cancer mortality, and 2.82 (1.91, 4.18) for gastrointestinal cancer mortality. Risk estimates decreased gradually with each decade increase in diagnostic age. The population-attributable fractions for overall cancer and gastrointestinal cancer mortality also decreased with increasing age. CONCLUSIONS/

interpretationThe associations of type 2 diabetes with cancer incidence and mortality varied by age at diagnosis, with a higher relative risk among patients who were diagnosed at a younger age.

Indexed as

Diabetes Mellitus, Type 2NeoplasmsAgedCohort StudiesHumansIncidenceRetrospective StudiesRisk FactorsAge at diagnosisCancerMortalityType 2 diabetes

Identifiers

PMID37178138
OpenAlexW4376504789

What OpenQuestion holds

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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.