Evidence map›Paper›PMID 40061819›Full record

ArticlePhenomics (Cham, Switzerland)2024

Cohort Profile: TRacing Etiology of Non-communicable Diseases (TREND): Rationale, Progress and Perspective.

Hui-Ying Ren, Ying Lv, Bei-Ning Ma, Chang Gao, Hong-Mei Yuan, Hai-Hong Meng, Zheng-Qian Cao, Ya-Ting Chen, Yan-Xi Zhang, Yu-Ting Zhang and 15 more

Abstract read
In one paragraph

Article in Phenomics (Cham, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

25 authors.

Hui-Ying Ren *Department of Epidemiology & Biostatistics, School of Public Health, Southeast University, Nanjing, 210009 China.
Ying Lv *School of Public Health, Wannan Medical College, WuHu, 241002 China.
Bei-Ning Ma *Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, 210029 China.
Chang GaoSchool of Life Sciences, Westlake University, Hangzhou, 310024 China.
Hong-Mei YuanHealth Commission of YuShan District, Ma'anshan, 243000 China.
Hai-Hong MengHealth Commission of YuShan District, Ma'anshan, 243000 China.
Zheng-Qian CaoHealth Commission of YuShan District, Ma'anshan, 243000 China.
Ya-Ting ChenDepartment of Epidemiology & Biostatistics, School of Public Health, Southeast University, Nanjing, 210009 China.
Yan-Xi ZhangDepartment of Epidemiology & Biostatistics, School of Public Health, Southeast University, Nanjing, 210009 China.
Yu-Ting ZhangDepartment of Epidemiology & Biostatistics, School of Public Health, Southeast University, Nanjing, 210009 China.
Wei LiuDepartment of Epidemiology & Biostatistics, School of Public Health, Southeast University, Nanjing, 210009 China.
Yu-Ping FanDepartment of Epidemiology & Biostatistics, School of Public Health, Southeast University, Nanjing, 210009 China.
Meng-Han LiDepartment of Epidemiology & Biostatistics, School of Public Health, Southeast University, Nanjing, 210009 China.
Yu-Xuan WuDepartment of Epidemiology & Biostatistics, School of Public Health, Southeast University, Nanjing, 210009 China.
Zhuo-Yue FengDepartment of Epidemiology & Biostatistics, School of Public Health, Southeast University, Nanjing, 210009 China.
Xin-Xin ZhangDepartment of Epidemiology & Biostatistics, School of Public Health, Southeast University, Nanjing, 210009 China.
Zhen-Jian LuoDepartment of Epidemiology & Biostatistics, School of Public Health, Southeast University, Nanjing, 210009 China.
Qiu-Yi TangDepartment of General Surgery, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092 China.
Anke WesseliusDepartment of Epidemiology, CAPHRI Care and Public Health Research Institute, Maastricht University, Maastricht, 6229ER The Netherlands.
Jian ChenMa'anshan Center for Disease Control and Prevention, Ma'anshan, 243011 China.
Hong-Xing LuoInstitute for Surgical Research, Oslo University Hospital, 0424 Oslo, Norway.
TREND Cohort Study
Qi-Rong QinSchool of Public Health, Wannan Medical College, WuHu, 241002 China.
Lianmin ChenDepartment of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, 210029 China.ORCID 0000-0003-0660-3518
Evan Yi-Wen YuDepartment of Epidemiology & Biostatistics, School of Public Health, Southeast University, Nanjing, 210009 China.ORCID 0000-0001-7825-5087

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The TRacing Etiology of Non-communicable Diseases (TREND) cohort is a prospective longitudinal cohort and biobank that is mainly based in Ma'anshan, Anhui Province, China. The primary aim of the study is to decipher comprehensive molecular characterization and deep phenotyping for a broad spectrum of chronic non-communicable diseases (NCDs), which focuses on providing mechanistic insights with diagnostic, prognostic and therapeutic implications. The recruitment was initiated in 2023 and is expected to complete in 2025 with 20,000 participants originated from urban and rural area. In the first phase, 3360 participants were recruited. Follow-up visits are scheduled annually and intervally for a total of 30 years. The cohort includes individuals aged over 18 years. Two participants with first-degree linkage were recruited from a household. The age distribution of recruited participants was stratified into four categories: 18-45, 45-55, 55-65, and ≥65 years, aligning with the population proportions of Ma'anshan. Meanwhile, the gender distribution was controlled by pairing men and women from the same household. Data collected at baseline includes socio-economic information, medical history, lifestyle and nutritional habits, anthropometrics, blood oxygen, electrocardiogram (ECG), heart sound, as well as blood, urine and feces tests results. Molecular profiling includes genome, proteome, metabolome, microbiome and extracellular vesicles -omics. Blood, urine and fecal samples are collected and stored at -80 °C in a storage facility for future research. Supplementary Information: The online version contains supplementary material available at 10.1007/s43657-024-00196-4.

Indexed as

Deep phenotypingMulti-omicsNon-communicable diseasesProspective designState-of-art techniques

Identifiers

PMID40061819
PMCPMC11889304

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.