Evidence map›Paper›PMID 37841744›Full record

ArticleFrontiers in public health2023

A protocol of Chinese expert consensuses for the management of health risk in the general public.

Danni Wang, Qiangsheng He, Bin Xia, Jie Zheng, Wangnan Cao, Shaochen Su, Fulan Hu, Jiang Li, Yuelun Zhang, Zhengjia Ren and 13 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
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

23 authors at 14 institutions in 4 countries.

Danni WangDepartment of Epidemiology and Biostatistics, Clinical Big Data Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Qiangsheng HeDepartment of Epidemiology and Biostatistics, Clinical Big Data Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Bin XiaDepartment of Epidemiology and Biostatistics, Clinical Big Data Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Jie ZhengDepartment of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Wangnan CaoDepartment of Social Medicine and Health Education, School of Public Health, Peking University, Beijing, China.
Shaochen SuHealthy Examination & Management Center, The First Hospital of Lanzhou University, Lanzhou, China.
Fulan HuDepartment of Epidemiology and Biostatistics, School of Public Health, Shenzhen University Health Science Center, Shenzhen, China.
Jiang LiOffice for Cancer Screening, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yuelun ZhangMedical Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Zhengjia RenDepartment of Clinical Psychology, The Third Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Xue LiCenter for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Xinyin WuDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China.
Yafang HuangSchool of General Practice and Continuing Education, Capital Medical University, Beijing, China.
Yongjiang TangDepartment of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.
Fuxin WeiDepartment of Orthopaedic Surgery, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China.
Huachun ZouDepartment of Epidemiology, School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China.
Huaili JiangCancer Center, Zhongshan Hospital, Fudan University, Shanghai, China.
Junjie HuangJockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.
Wenbo MengDepartment of General Surgery, The First Hospital of Lanzhou University, Lanzhou, China.
Ming BaiThe Department of Nephrology, Xijing Hospital, The Fourth Military Medical University, Xi'an, China.
Kehu YangHealth Technology Assessment Center, Evidence Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China.
Jinqiu YuanDepartment of Epidemiology and Biostatistics, Clinical Big Data Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Chinese Health RIsk MAnagement Collaboration (CHRIMAC)
Sun Yat-sen University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNChinese University of Hong Kong · HKFirst Hospital of Lanzhou University · CNCapital Medical University · CNCentral South University · CNChongqing Medical University · CNFudan University · CNLanzhou University · CNPeking University · CNShanghai Jiao Tong University · CNShenzhen University Health Science Center · CNSichuan University · CNXijing Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Non-communicable diseases (NCDs) represent the leading cause of mortality and disability worldwide. Robust evidence has demonstrated that modifiable lifestyle factors such as unhealthy diet, smoking, alcohol consumption and physical inactivity are the primary causes of NCDs. Although a series of guidelines for the management of NCDs have been published in China, these guidelines mainly focus on clinical practice targeting clinicians rather than the general population, and the evidence for NCD prevention based on modifiable lifestyle factors has been disorganized. Therefore, comprehensive and evidence-based guidance for the risk management of major NCDs for the general Chinese population is urgently needed. To achieve this overarching aim, we plan to develop a series of expert consensuses covering 15 major NCDs on health risk management for the general Chinese population. The objectives of these consensuses are (1) to identify and recommend suitable risk assessment methods for the Chinese population; and (2) to make recommendations for the prevention of major NCDs by integrating the current best evidence and experts' opinions. Methods and analysis: For each expert consensus, we will establish a consensus working group comprising 40-50 members. Consensus questions will be formulated by integrating literature reviews, expert opinions, and an online survey. Systematic reviews will be considered as the primary evidence sources. We will conduct new systematic reviews if there are no eligible systematic reviews, the methodological quality is low, or the existing systematic reviews have been published for more than 3 years. We will evaluate the quality of evidence and make recommendations according to the GRADE approach. The consensuses will be reported according to the Reporting Items for Practice Guidelines in Healthcare (RIGHT).

Indexed as

East Asian PeopleHealth Risk BehaviorsAlcohol DrinkingChinaClinical ProtocolsConsensusDietHealth Status IndicatorsHumansPublic HealthRisk ManagementSmokingnon-communicable diseases (NCDs)primary preventionprotocols & guidelinesrisk factorsrisk management

Identifiers

PMID37841744
PMCPMC10569298
OpenAlexW4387183422

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.