Evidence map›Paper›PMID 37585204›Full record

ArticleJAMA network open2023

Patterns in Cancer Incidence Among People Younger Than 50 Years in the US, 2010 to 2019.

Benjamin Koh, Darren Jun Hao Tan, Cheng Han Ng, Clarissa Elysia Fu, Wen Hui Lim, Rebecca Wenling Zeng, Jie Ning Yong, Jia Hong Koh, Nicholas Syn, Wang Meng and 10 more

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 128 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
128citing papers in PubMed, 1 pooled it
38.4field-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

128 citing papers in PubMed, 1 synthesis or guideline pooled it, 167 citations in OpenAlex.

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68 more citing papers are in PubMed but not listed here.

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

20 authors at 8 institutions in 4 countries.

Benjamin KohYong Loo Lin School of Medicine, National University of Singapore, Singapore.
Darren Jun Hao TanYong Loo Lin School of Medicine, National University of Singapore, Singapore.
Cheng Han NgDivision of Gastroenterology and Hepatology, Department of Medicine, National University Hospital, Singapore.
Clarissa Elysia FuYong Loo Lin School of Medicine, National University of Singapore, Singapore.
Wen Hui LimYong Loo Lin School of Medicine, National University of Singapore, Singapore.
Rebecca Wenling ZengYong Loo Lin School of Medicine, National University of Singapore, Singapore.
Jie Ning YongYong Loo Lin School of Medicine, National University of Singapore, Singapore.
Jia Hong KohYong Loo Lin School of Medicine, National University of Singapore, Singapore.
Nicholas SynYong Loo Lin School of Medicine, National University of Singapore, Singapore.
Wang MengYong Loo Lin School of Medicine, National University of Singapore, Singapore.
Karn WijarnpreechaDepartment of Medicine, Division of Gastroenterology and Hepatology, University of Arizona College of Medicine, Phoenix.
Ken LiuAW Morrow Gastroenterology and Liver Centre, Royal Prince Alfred Hospital, Sydney, Australia.
Choon Seng ChongArk Surgical Practice, Mount Elizabeth Hospital, Singapore, Singapore.
Mark MuthiahYong Loo Lin School of Medicine, National University of Singapore, Singapore.
Hung N LuuDivision of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, Pittsburgh, Pennsylvania.
Arndt VogelDepartment of Gastroenterology, Hepatology and Endocrinology, Hannover Medical School, Hannover, Germany.
Siddharth SinghDivision of Gastroenterology, University of California at San Diego, La Jolla.
Khay Guan YeohYong Loo Lin School of Medicine, National University of Singapore, Singapore.
Rohit LoombaDivision of Gastroenterology, University of California at San Diego, La Jolla.
Daniel Q HuangYong Loo Lin School of Medicine, National University of Singapore, Singapore.
National University of Singapore · SGNational University Hospital · SGUniversity of California San Diego · USMedizinische Hochschule Hannover · DEMount Elizabeth Hospital · SGRoyal Prince Alfred Hospital · AUUniversity of Arizona · USUniversity of Pittsburgh · US

Funding

San Diego Digestive Diseases Research CenterP30DK120515 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Bernd G. Schnabl · 2019 to 2026
$10.8M
NIDDK NIH HHS P30 DK120515
6 · The paper itself

Abstract

Importance: Emerging data suggest that the incidence of early-onset cancers, defined as cancers diagnosed in people younger than 50 years, is increasing, but updated data are limited. Objective: To characterize the patterns in the incidence of early-onset cancers in the US from 2010 to 2019 and provide granular data on the cancers with the fastest-growing incidence rates. Design, Setting, and Participants: This population-based cohort study analyzed data from 17 National Cancer Institute Surveillance, Epidemiology, and End Results registries from January 1, 2010, to December 31, 2019. Age-standardized incidence rates per 100 000 people were extracted for early-onset cancers, with rates age adjusted to the US standard population. A total of 562 145 patients with early-onset cancer between 2010 and 2019 were identified and included. Data were analyzed from October 16, 2022, to May 23, 2023. Main Outcomes and Measures: Primary outcomes were incidence rates and descriptive epidemiological data for people younger than 50 years with cancer. The annual percentage change (APC) of the age-standardized incidence rate was estimated using the Joinpoint regression program. Results: Among 562 145 patients (324 138 [57.7%] aged 40-49 years; 351 120 [62.5%] female) with early-onset cancer, 4565 (0.8%) were American Indian or Alaska Native, 54 876 (9.8%) were Asian or Pacific Islander, 61 048 (10.9%) were Black, 118 099 (21.0%) were Hispanic, 314 610 (56.0%) were White, and 8947 (1.6%) were of unknown race and/or ethnicity. From 2010 to 2019, the age-standardized incidence rate of early-onset cancers increased overall (APC, 0.28%; 95% CI, 0.09%-0.47%; P = .01) and in female individuals (APC, 0.67%; 95% CI, 0.39%-0.94%; P = .001) but decreased in male individuals (APC, -0.37%; 95% CI, -0.51% to -0.22%; P < .001). In contrast, the age-standardized incidence rate of cancers in individuals aged 50 years and older decreased over the study period (APC, -0.87%; 95% CI, -1.06% to -0.67%; P < .001). In 2019, the highest number of incident cases of early-onset cancer were in the breast (n = 12 649). From 2010 to 2019, gastrointestinal cancers had the fastest-growing incidence rates among all early-onset cancer groups (APC, 2.16%; 95% CI, 1.66%-2.67%; P < .001). Among gastrointestinal cancers, those with the fastest-growing incidence rates were in the appendix (APC, 15.61%; 95% CI, 9.21%-22.38%; P < .001), intrahepatic bile duct (APC, 8.12%; 95% CI, 4.94%-11.39%; P < .001), and pancreas (APC, 2.53%; 95% CI, 1.69%-3.38%; P < .001). Conclusions and Relevance: In this cohort study, the incidence rates of early-onset cancer increased from 2010 to 2019. Although breast cancer had the highest number of incident cases, gastrointestinal cancers had the fastest-growing incidence rates among all early-onset cancers. These data may be useful for the development of surveillance strategies and funding priorities.

Indexed as

Breast NeoplasmsAgedCohort StudiesEthnicityFemaleHumansIncidenceMaleMiddle AgedRegistries

Identifiers

PMID37585204
PMCPMC10433086
OpenAlexW4385851709

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.