Evidence map›Paper›PMID 34470632›Full record

ArticleBMC public health2021

Current status of premature mortality from four non-communicable diseases and progress towards the Sustainable Development Goal target 3.4: a population-based study in northeast China, 2004-2017.

Li Liu, Yanxia Li, Junmin Song, Qian Chen, Shuang Li, Huijuan Mu, Jun Na, Rui Zhang, Liya Yu, Wei Sun and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.2field-weighted citation impact, top 37% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

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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

11 authors at 3 institutions in 1 country.

Li LiuInstitute of Preventive Medicine, China Medical University, Shenyang, 110122, People's Republic of China.
Yanxia LiInstitute of Preventive Medicine, China Medical University, Shenyang, 110122, People's Republic of China.
Junmin SongInstitute of Preventive Medicine, China Medical University, Shenyang, 110122, People's Republic of China.
Qian ChenInstitute of Preventive Medicine, China Medical University, Shenyang, 110122, People's Republic of China.
Shuang LiInstitute of Preventive Medicine, China Medical University, Shenyang, 110122, People's Republic of China.
Huijuan MuInstitute of Preventive Medicine, China Medical University, Shenyang, 110122, People's Republic of China.
Jun NaInstitute of Preventive Medicine, China Medical University, Shenyang, 110122, People's Republic of China.
Rui ZhangInstitute of Preventive Medicine, China Medical University, Shenyang, 110122, People's Republic of China.
Liya YuInstitute of Preventive Medicine, China Medical University, Shenyang, 110122, People's Republic of China.
Wei SunInstitute of Preventive Medicine, China Medical University, Shenyang, 110122, People's Republic of China.
Guowei PanInstitute of Preventive Medicine, China Medical University, Shenyang, 110122, People's Republic of China. gwpan@cmu.edu.cn.ORCID 0000-0003-2238-0801
Shenyang Center for Disease Control and Prevention · CNShenyang Medical College · CNChina Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimAccording to the United Nations' Sustainable Development Goal (SDG) target 3.4, premature mortality from four non-communicable diseases (cardiovascular diseases, cancer, chronic respiratory diseases, and diabetes mellitus, collectively referred to as NCD4) should achieve a minimum decline of 33% in 2030 relative to 2015. This remains a challenge for China. This study aimed to evaluate the current status and progress towards this target in Liaoning Province, one of the three provinces in northeast China.

methodsWe calculated the premature mortality rates (PMRs) per year and average annual percentage changes (AAPCs) from NCD4 using mortality data between 2004 and 2017. The trend was analyzed in the whole population, as well as in subpopulations of gender (male/female) and inhabiting area (urban/rural). PMRs from NCD4 for 2030 were projected by fitting a linear regression based on the current trend, which was identified by a Joinpoint model.

findingsIn the whole population, only chronic respiratory diseases showed a significant decline (AAPC: - 6.5%, p < 0.05), while only cancer showed a significant increase (AAPC: + 1.3%, p < 0.05); taken together, NCD4 showed a significant increase (AAPC: + 0.6%, p < 0.05). In the subpopulations, while males showed a significant increase in NCD4 (AAPC: + 1.5%, p < 0.05), cardiovascular diseases (AAPC: + 1.7%, p < 0.05), cancer (AAPC: + 1.8%, p < 0.05), and diabetes mellitus (AAPC: + 4.2%, p < 0.05), females showed a significant decline in NCD4 (AAPC: - 1.2%, p < 0.05), cardiovascular diseases (AAPC: - 1.8%, p < 0.05), diabetes mellitus (AAPC: - 2.1%, p < 0.05), but showed a mild increase in cancer (AAPC: + 0.5%, p > 0.05). A comparative analysis of the projected PMRs for 2030 with the 2015 levels revealed that only chronic respiratory diseases are expected to achieve the SDG target 3.4, apart from in the urban male subpopulation.

conclusionExcept for chronic respiratory diseases, NCD4 cannot be expected to achieve the SDG target 3.4 in the whole population of Liaoning Province. Under these circumstances, special attention should be paid to reducing the risks of cancer and providing preventative interventions for men.

Indexed as

Noncommunicable DiseasesSustainable DevelopmentChinaFemaleGoalsHumansMaleMortality, PrematureAverage annual percentage changeChinaChronic diseaseLiaoningMortalityNon-communicable diseasePrematureSustainable Development Goal

Identifiers

PMID34470632
PMCPMC8411532
OpenAlexW3197051788

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.