Evidence map›Paper›PMID 38802806›Full record

ArticleBMC public health2024

Association of Life's Essential 8 with all-cause mortality and risk of cancer: a prospective cohort study.

Jinguo Jiang, Ning Ning, Yang Liu, Zhiwei Cai, Maoxiang Zhao, Xinyi Peng, Liuxin Li, Shuohua Chen, Jing Wang, Feng Wang and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  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

13 authors.

Jinguo Jiang *Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Heping District, Shenyang, Liaoning Province, 110004, China.
Ning Ning *Department of Epidemiology and Biostatistics, School of Public Health, China Medical University, No.77 Puhe Road, Shenyang North New Area, Shenyang, 110122, Liaoning Province, China.
Yang LiuDepartment of Epidemiology and Biostatistics, School of Public Health, China Medical University, No.77 Puhe Road, Shenyang North New Area, Shenyang, 110122, Liaoning Province, China.
Zhiwei CaiDepartment of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.
Maoxiang ZhaoInterventional Center of Valvular Heart Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Xinyi PengHypertension Center, Fuwai Hospital, State Key Laboratory of Cardiovascular Disease of China, National Center for Cardiovascular Diseases of China, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China.
Liuxin LiGraduate School, North China University of Science and Technology, Tangshan, China.
Shuohua ChenDepartment of Cardiology, Kailuan General Hospital, No.57 Xinhua East Road, Tangshan, 063000, Hebei Province, China.
Jing WangPeking University Medical Informatics Center, Peking University, Beijing, China.
Feng WangChinese Center for Health Education, Beijing, China.
Xueying Qin *Department of Epidemiology and Biostatistics, School of Public Health, Peking University, 38# Xueyuan Road, Haidian District, Beijing, 100191, China. xueyingqin@bjmu.edu.cn.
Yanan Ma *Department of Epidemiology and Biostatistics, School of Public Health, China Medical University, No.77 Puhe Road, Shenyang North New Area, Shenyang, 110122, Liaoning Province, China. ynma@cmu.edu.cn.
Shouling Wu *Department of Cardiology, Kailuan General Hospital, No.57 Xinhua East Road, Tangshan, 063000, Hebei Province, China. drwusl@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNo study has concentrated on the association of LE8 with cancer risk and death. We aim to examine the association of LE8 with death and cancer.

methodsA total of 94733 adults aged 51.42 ± 12.46 years and 77551 participants aged 54.09±12.06 years were enrolled in longitudinal and trajectory analysis respectively. Baseline LE8 was divided into three groups based on the American Heart Association criteria and three trajectory patterns by latent mixture models. We reviewed medical records and clinical examinations to confirm incident cancer during the period from 2006 to 2020. Death information was collected from provincial vital statistics offices. Cox models were used.

results12807 all-cause deaths and 5060 cancers were documented during a 14-year follow-up. Relative to participants with high LE8 at baseline, participants with lower levels of LE8 have a significantly increased risk of mortality and incident cancer. All these risks have an increasing trend with LE8 level decreasing. Meanwhile, the trajectory analysis recorded 7483 all-cause deaths and 3037 incident cancers after approximately 10 years. The associations of LE8 with death and cancer were identical to the longitudinal study. In the subtype cancer analysis, LE8 has a strong effect on colorectal cancer risk. Moreover, the cut point is 56.67 in the association between LE8 and death, while the cut point altered to 64.79 in the association between LE8 and incident cancers. These associations were enhanced among younger adults.

conclusionsThere was a significant association of LE8 with death and cancer risk, especially for the young population.

Indexed as

Cause of DeathNeoplasmsAdultAgedChinaFemaleHumansLongitudinal StudiesMaleMiddle AgedProspective StudiesRisk AssessmentRisk FactorsCancerDeathLife's essential 8Longitudinal analysisThreshold effectTrajectory analysis

Identifiers

PMID38802806
PMCPMC11129373

What OpenQuestion holds

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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.