Evidence map›Paper›PMID 42712559›Full record

ArticleFrontiers in public health2026

Trends and projections in cause-specific mortality among patients with colorectal cancer in the United States, 1999-2040.

Ziyan He, Yadong Chen, Yuxing Hu, Jiajia Lin, Yifan Wang, Caiqiu Deng, Yue Cong, Jiaming Liu, Rui Zhou, Yihan He and 2 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Ziyan He *The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Yadong Chen *The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Yuxing Hu *The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Jiajia LinThe Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Yifan WangThe Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Caiqiu DengThe Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Yue CongThe Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Jiaming LiuThe Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Rui ZhouDepartment of Oncology, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China.
Yihan HeDepartment of Oncology, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China.
Fangfang HouDepartment of Oncology, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China.
Haibo ZhangDepartment of Oncology, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: As CRC survival improves, the shifting contributions of metastatic and non-cancer causes to mortality remain poorly characterized, with implications for survivorship care and public health policy. This study aimed to examine temporal trends in CRC mortality with selected contributing conditions from 1999 to 2023 and project rates through 2040 across demographic and geographic subgroups in the United States. Methods: This population-based cohort study utilized mortality data from the Centers for Disease Control and Prevention Wide-ranging Online Data for Epidemiologic Research (CDC WONDER) database. The study included 1,323,609 US residents aged 25 years or older who died from 1999 through 2023 with colorectal cancer listed as the underlying cause of death. We analyzed selected contributing conditions recorded in the multiple cause-of-death field, including heart failure, ischemic heart disease, liver metastasis, lung metastasis, pulmonary embolism, and sepsis. Age-adjusted mortality rates (AAMRs) were calculated per 100,000 persons. Temporal trends were analyzed using Joinpoint regression to estimate annual percent change (APC) and average annual percent change (AAPC). Future mortality rates were projected to 2040 using autoregressive integrated moving average (ARIMA) modeling. Results: Overall CRC AAMR declined from 32.06 in 1999 to 19.57 in 2023 (AAPC,-2.08%). Recent significant increases were observed in liver metastasis mortality from 2016 to 2023 (APC: 2.89%), lung metastasis mortality from 2017 to 2023 (APC: 2.08%), pulmonary embolism mortality from 2012 to 2023 (APC: 3.59%), and heart failure mortality from 2013 to 2023 (APC: 3.16%). These trends were most pronounced among adults aged 35-64 years, non-Hispanic Black individuals, and residents of the Southern US. Model-based projections indicate that overall lung metastasis mortality will continue to increase through 2040, whereas liver metastasis mortality will peak in 2028 and subsequently decline. In pre-pandemic sensitivity analyses, the post-2012 increase in PE mortality persisted, whereas recent increases in IHD, HF, liver metastasis, and sepsis mortality were attenuated or no longer statistically significant. Conclusions: Despite declining overall CRC mortality, recent increases were observed in several metastatic and noncancer contributing conditions. However, pre-pandemic sensitivity analyses suggested that some late-period changes may have been amplified during the COVID-19 era, whereas the increase in PE mortality clearly preceded the pandemic.

Indexed as

Colorectal NeoplasmsMortalityAdultAgedAged, 80 and overCause of DeathCohort StudiesFemaleForecastingHumansMaleMiddle AgedUnited StatesCDC WONDERcolorectal cancerhealth disparitiesjoinpoint regressionmortality trendsmultiple cause of death

Identifiers

PMID42712559
PMCPMC13550207

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.