Evidence map›Paper›PMID 32641326›Full record

ArticleBMJ open2020

Cohort profile: protocol and baseline survey for the Shanghai Suburban Adult Cohort and Biobank (SSACB) study.

Qi Zhao, Bo Chen, Ruiping Wang, Meiying Zhu, Yueqin Shao, Na Wang, Xing Liu, Tiejun Zhang, Feng Jiang, Weibing Wang and 5 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 4% 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

46 citing papers in PubMed, 1 synthesis or guideline pooled it, 69 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

15 authors at 3 institutions in 2 countries.

Qi Zhao *Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China.ORCID 0000-0003-0140-3920
Bo Chen *Department of Nutrition, School of Public Health, Fudan University, Shanghai, China.
Ruiping WangGeneral office, Songjiang Center for Disease Control and Prevention, Shanghai, China.
Meiying ZhuGeneral office, Songjiang Center for Disease Control and Prevention, Shanghai, China.
Yueqin ShaoGeneral office, Jiading District Center for Disease Control and Prevention, Shanghai, China.
Na WangDepartment of Epidemiology, School of Public Health, Fudan University, Shanghai, China.
Xing LiuDepartment of Epidemiology, School of Public Health, Fudan University, Shanghai, China.
Tiejun ZhangDepartment of Epidemiology, School of Public Health, Fudan University, Shanghai, China.
Feng JiangDepartment of Epidemiology, School of Public Health, Fudan University, Shanghai, China.
Weibing WangDepartment of Epidemiology, School of Public Health, Fudan University, Shanghai, China.
Yonggen Jiang *General office, Songjiang Center for Disease Control and Prevention, Shanghai, China gmzhao@shmu.edu.cn 877162034@qq.com.
Genming Zhao *Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China gmzhao@shmu.edu.cn 877162034@qq.com.
Na HeDepartment of Epidemiology, School of Public Health, Fudan University, Shanghai, China.
Wen ChenDepartment of Health Economic, School of Public Health, Fudan University, Shanghai, China.
Shanghai suburban adult cohort and biobank study group
Fudan University · CNSongjiang District Central Hospital · CNShanghai Municipal Center For Disease Control Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe Shanghai Suburban Adult Cohort and Biobank (SSACB) was established to identify environmental, lifestyle and genetic risk factors for non-communicable chronic diseases (NCDs) in adults (20-74 years old) living in a suburban area of Shanghai with rapid urbanisation.

participantsTwo of eight suburban district were purposely selected according to participant willingness, health service facilities, population, geographic region and electronic medical record system. From these suburban districts, four communities were selected based on economic level and population size. At stage three, one-third of the committees/villages were randomly selected from each community. All residents aged 20-74 years old were invited as study participants. FINDINGS TO DATE: The baseline data on demographics, lifestyle and physical health-related factors were collected using a face-to-face questionnaire interview. All participants completed physical examinations and had blood and urine tests. Blood and urine samples from these tests were stored in a biobank. From 6 April 2016 through 31 October 2017, we conducted face-to-face interviews and clinical examinations in 44 887 participants: 35 727 from Songjiang District and 9160 from Jiading District. The average age of participants was 56.4±11.2 years in Songjiang and 56.6±10.5 years in Jiading. The prevalence of hypertension, diabetes and dyslipidaemia was 34.0%, 8.2% and 11.1%, respectively. FUTURE PLANS: In-person surveys will be conducted every 5 years. For annual tracking, baseline data was linked to the local health information system, which was composed of an electronic medical record system, a chronic disease management system, a cancer registry system, an infectious disease report system and a death registry system. The data of the SSACB cohort is located in the School of Public Health, Fudan University. International and domestic collaborative research projects are encouraged and inherent in the project.

Indexed as

Clinical ProtocolsCohort StudiesHumansInterviews as TopicSurveys and Questionnairesepidemiologyhealth informaticspublic health

Identifiers

PMID32641326
PMCPMC7348462
OpenAlexW3042053693

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.