Evidence map›Paper›PMID 32938600›Full record

ArticleBMJ open2020

Cohort profile: the ChicagO Multiethnic Prevention and Surveillance Study (COMPASS).

Briseis Aschebrook-Kilfoy, Muhammad G Kibriya, Farzana Jasmine, Liz Stepniak, Rajan Gopalakrishnan, Andrew Craver, Paul Zakin, Saira Tasmin, Karen E Kim, Kathleen H Goss and 3 more

Abstract 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 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  8. Uterine Fibroid Prevalence in a Predominantly Black, Chicago-Based Cohort.International journal of environmental research and public health · 2024
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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

13 authors.

Briseis Aschebrook-KilfoyDepartment of Public Health Sciences, The University of Chicago, Chicago, Illinois, USA brisa@uchicago.edu.ORCID 0000-0003-1918-7816
Muhammad G KibriyaDepartment of Public Health Sciences, The University of Chicago, Chicago, Illinois, USA.
Farzana JasmineDepartment of Public Health Sciences, The University of Chicago, Chicago, Illinois, USA.
Liz StepniakDepartment of Public Health Sciences, The University of Chicago, Chicago, Illinois, USA.
Rajan GopalakrishnanComprehensive Cancer Center, University of Chicago, Chicago, Illinois, USA.
Andrew CraverInstitute for Population and Precision Health, The University of Chicago, Chicago, Illinois, USA.
Paul ZakinInstitute for Population and Precision Health, The University of Chicago, Chicago, Illinois, USA.
Saira TasminDepartment of Public Health Sciences, The University of Chicago, Chicago, Illinois, USA.
Karen E KimComprehensive Cancer Center, University of Chicago, Chicago, Illinois, USA.
Kathleen H GossComprehensive Cancer Center, University of Chicago, Chicago, Illinois, USA.
Marcy ListComprehensive Cancer Center, University of Chicago, Chicago, Illinois, USA.
Michelle LeBeauComprehensive Cancer Center, University of Chicago, Chicago, Illinois, USA.
Habibul AhsanDepartment of Public Health Sciences, The University of Chicago, Chicago, Illinois, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe ChicagO Multiethnic Prevention and Surveillance Study or 'COMPASS' is a population-based cohort study with a goal to examine the risk and determinants of cancer and chronic disease. COMPASS aims to address factors causing and/or exacerbating health disparities using a precision health approach by recruiting diverse participants in Chicago, with an emphasis on those historically underrepresented in biomedical research.

participantsNearly 8000 participants have been recruited from 72 of the 77 Chicago community areas. Enrolment entails the completion of a 1-hour long survey, consenting for past and future medical records from all sources, the collection of clinical and physical measurement data and the on-site collection of biological samples including blood, urine and saliva. Indoor air monitoring data and stool samples are being collected from a subset of participants. On collection, all biological samples are processed and aliquoted within 24 hours before long-term storage and subsequent analysis. FINDINGS TO DATE: The cohort reported an average age of 53.7 years, while 80.5% identified as African-American, 5.7% as Hispanic and 47.8% as men. Over 50% reported earning less than US$15 000 yearly, 35% were obese and 47.8% were current smokers. Moreover, 38% self-reported having had a diagnosis of hypertension, while 66.4% were measured as hypertensive at enrolment. FUTURE PLANS: We plan to expand recruitment up to 100 000 participants from the Chicago metropolitan area in the next decade using a hybrid community and clinic-based recruitment framework that incorporates data collection through mobile medical units. Follow-up data collection from current cohort members will include serial samples, as well as longitudinal health, lifestyle and behavioural assessment. We will supplement self-reported data with electronic medical records, expand the collection of biometrics and biosamples to facilitate increasing digital epidemiological study designs and link to state and/or national level databases to ascertain outcomes. The results and findings will inform potential opportunities for precision disease prevention and mitigation in Chicago and other urban areas with a diverse population. REGISTRATION: NA.

Indexed as

Black or African AmericanHispanic or LatinoChicagoChronic DiseaseCohort StudiesHumansMaleMiddle Agedepidemiologypreventive medicinepublic health

Identifiers

PMID32938600
PMCPMC7497521

What OpenQuestion holds

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LicenceCC BY-NC
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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.