Evidence map›Paper›PMID 38370383›Full record

ArticleJournal of Cancer2024

Age-related Disparities in Pan-Cancer Mortality and Causes of Death: Analysis of Surveillance, Epidemiology, and End Results (SEER) Data.

Yile Lin, Huiyang Li, Haixiao Wu, Shu Li, Maxim A Abakumov, Vladimir P Chekhonin, Karl Peltzer, Kirellos Said Abbas, Alexander D Makatsariya, Zheng Liu and 3 more

Open access · goldAbstract read
In one paragraph

Article in Journal of Cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 25% 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, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Observational
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 at 7 institutions in 6 countries.

Yile LinDepartment of Orthopaedic Surgery, Tianjin Medical University General Hospital, Tianjin, China.
Huiyang LiThe Sino-Russian Joint Research Center for Bone Metastasis in Malignant Tumor, Tianjin, China.
Haixiao WuThe Sino-Russian Joint Research Center for Bone Metastasis in Malignant Tumor, Tianjin, China.
Shu LiThe Sino-Russian Joint Research Center for Bone Metastasis in Malignant Tumor, Tianjin, China.
Maxim A AbakumovThe Sino-Russian Joint Research Center for Bone Metastasis in Malignant Tumor, Tianjin, China.
Vladimir P ChekhoninThe Sino-Russian Joint Research Center for Bone Metastasis in Malignant Tumor, Tianjin, China.
Karl PeltzerThe Sino-Russian Joint Research Center for Bone Metastasis in Malignant Tumor, Tianjin, China.
Kirellos Said AbbasThe Sino-Russian Joint Research Center for Bone Metastasis in Malignant Tumor, Tianjin, China.
Alexander D MakatsariyaThe Sino-Russian Joint Research Center for Bone Metastasis in Malignant Tumor, Tianjin, China.
Zheng LiuThe Sino-Russian Joint Research Center for Bone Metastasis in Malignant Tumor, Tianjin, China.
Jin ZhangThe Sino-Russian Joint Research Center for Bone Metastasis in Malignant Tumor, Tianjin, China.
Yuan XueDepartment of Orthopaedic Surgery, Tianjin Medical University General Hospital, Tianjin, China.
Chao ZhangThe Sino-Russian Joint Research Center for Bone Metastasis in Malignant Tumor, Tianjin, China.
Sino Biological (China) · CNPirogov Russian National Research Medical University · RUTianjin Medical University General Hospital · CNNational University of Science and Technology · RUPerinatal Institute · GBThe Seventh Affiliated Hospital of Sun Yat-sen University · CNTianjin Medical University Cancer Institute and Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Comprehensive analysis of mortality and causes of death (COD) in cancers was of importance to conduct intervention strategies. The current study aimed to investigate the mortality rate and COD among cancers, and to explore the disparities between age. Initially, cancer patients diagnosed between 2010 and 2019 from the surveillance, epidemiology, and end results (SEER) database were extracted. Then, frequencies and percentage of deaths, and mortality rate in different age groups were calculated. Meanwhile, age distribution of different COD across tumor types was illustrated while the standardized mortality ratios (SMR) stratified by age were calculated and visualized. A total of 2,670,403 death records were included and digestive system cancer (688,953 death cases) was the most common primary cancer type. The mortality rate increased by 5.6% annually in total death, 4.0% in cancer-specific death and 10.9% in non-cancer cause. As for cancer-specific death, the age distribution varied among different primary tumor types due to prone age and prognosis of cancer. The top five non-cancer causes in patients older than 50 were cardiovascular and cerebrovascular disease, other causes, COPD and associated conditions, diabetes as well as Alzheimer. The SMRs of these causes were higher among younger patients and gradually dropped in older age groups. Mortality and COD of cancer patients were heterogeneous in age group due to primary tumor types, prone age and prognosis of cancer. Our study conducted that non-cancer COD was a critical part in clinical practice as well as cancer-specific death. Individualized treatment and clinical intervention should be made after fully considering of the risk factor for death in different diagnosis ages and tumor types.

Indexed as

AgeCause of DeathSEER ProgramStandardized Mortality RateTrend

Identifiers

PMID38370383
PMCPMC10869975
OpenAlexW4391581781

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.