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Study protocol: The INTERMAP China Prospective (ICP) study

2020· preprint· en· W2979540551 on OpenAlex
Li Yan, Ellison Carter, Yu Fu, Dongshuang Guo, Pinchun Huang, Gaoqiang Xie, Wuxiang Xie, Yidan Zhu, Frank J. Kelly, Paul Elliott, Liancheng Zhao, Xudong Yang, Majid Ezzati, Yangfeng Wu, Jill Baumgartner, Queenie Chan

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueWellcome Open Research · 2020
Typepreprint
Languageen
FieldEnvironmental Science
TopicHealth, Environment, Cognitive Aging
Canadian institutionsMcGill University
FundersNational Heart, Lung, and Blood InstituteMedical Research CouncilNational Institutes of HealthKing’s College LondonPeking UniversityEnvironmental Protection AgencyMinistry of Education, Culture, Sports, Science and TechnologyPublic Health EnglandNational Natural Science Foundation of ChinaMRC-PHE Centre for Environment and HealthKing's College LondonNorthern Ireland Chest, Heart and Stroke AssociationWellcome TrustCanadian Institutes of Health ResearchWellcome
KeywordsProspective cohort studyMedicineArterial stiffnessCohort studyEnvironmental healthCohortBlood pressureInternal medicine

Abstract

fetched live from OpenAlex

<ns3:p> <ns3:bold>Background:</ns3:bold> Unfavourable blood pressure (BP) level is an established risk factor for cardiovascular diseases (CVD), while the exact underlying reasons for unfavourable BP are poorly understood. The INTERMAP China Prospective (ICP) Study is a prospective cohort to investigate the relationship of environmental and nutritional risk factors with key indicators of vascular function (BP, arterial stiffness, carotid-intima media thickness) among middle-aged/older men and women. </ns3:p> <ns3:p> <ns3:bold>Methods:</ns3:bold> A total of 839 Chinese participants aged 40-59 years from three diverse regions of China were enrolled in INTERMAP in 1997/98; data collection included repeated BP measurements, 24-hour urine specimens, and 24-hour dietary recalls. In 2015/16, 574 of these 839 persons were re-enrolled along with 208 new participants aged 40-59 years that were randomly selected from the same study villages. Participant’s environmental and dietary exposures and health outcomes were assessed in this open cohort study, including BP, 24-hour dietary recalls, personal exposures to air pollution, grip strength, arterial stiffness, carotid-media thickness and plaques, cognitive function, and sleep patterns. Serum and plasma specimens were collected with 24-hour urine specimens. A follow-up visit has been scheduled for 2020-2021. </ns3:p> <ns3:p> <ns3:bold>Discussion:</ns3:bold> Winter and summer assessments of a comprehensive set of vascular indicators and their environmental and nutritional risk factors were conducted with high precision. We will leverage advances in exposome research to identify biomarkers of exposure to environmental and nutritional risk factors and improve our understanding of the mechanisms and pathways of their hazardous cardiovascular effects. The ICP Study is observational by design, thus subject to several biases including selection bias (e.g., loss to follow-up), information bias (e.g., measurement error), and confounding that we sought to mitigate through our study design and measurements. However, extensive efforts will apply to minimize those limitations (continuous observer training, repeated measurements of BP, standardized methods in data collection and measurements, and on-going quality control). </ns3:p>

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.015
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesOpen science, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Protocol · Consensus signal: none
Teacher disagreement score0.393
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0080.055
Research integrity0.0000.006
Insufficient payload (model declined to judge)0.0070.008

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.221
GPT teacher head0.475
Teacher spread0.254 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it