Evidence map›Paper›PMID 37591787›Full record

ArticleEpidemiology and health2023

Epidemiologic Questionnaire (EPI-Q) - a scalable, app-based health survey linked to electronic health record and genotype data.

Maxwell Salvatore, Dylan Clark-Boucher, Lars G Fritsche, Jacob Ortlieb, Janet Houghtby, Anisa Driscoll, Bryanne Caldwell-Larkins, Jennifer A Smith, Chad M Brummett, Sachin Kheterpal and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Epidemiology and 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
–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

1 citing paper in PubMed.

  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

12 authors.

Maxwell SalvatoreDepartment of Biostatistics, University of Michigan, Ann Arbor, MI, USA.
Dylan Clark-BoucherDepartment of Biostatistics, University of Michigan, Ann Arbor, MI, USA.
Lars G FritscheDepartment of Biostatistics, University of Michigan, Ann Arbor, MI, USA.
Jacob OrtliebPrecision Health, University of Michigan, Ann Arbor, MI, USA.
Janet HoughtbyPrecision Health, University of Michigan, Ann Arbor, MI, USA.
Anisa DriscollPrecision Health, University of Michigan, Ann Arbor, MI, USA.
Bryanne Caldwell-LarkinsPrecision Health, University of Michigan, Ann Arbor, MI, USA.
Jennifer A SmithDepartment of Epidemiology, University of Michigan, Ann Arbor, MI, USA.
Chad M BrummettAnesthesiology, Michigan Medicine, Ann Arbor, MI, USA.
Sachin KheterpalPrecision Health, University of Michigan, Ann Arbor, MI, USA.
Lynda LisabethDepartment of Epidemiology, University of Michigan, Ann Arbor, MI, USA.
Bhramar MukherjeeDepartment of Biostatistics, University of Michigan, Ann Arbor, MI, USA.

Funding

University of Michigan
6 · The paper itself

Abstract

The Epidemiologic Questionnaire (EPI-Q) was established to collect broad, uniform, self-reported health data to supplement electronic health record (EHR) and genotype information from participants in the University of Michigan (UM) Precision Health cohorts. Recruitment of EPI-Q participants, who were already enrolled in 1 of 3 ongoing UM Precision Health cohorts-the Michigan Genomics Initiative, Mental Health Biobank, and Metabolism, Endocrinology, and Diabetes cohorts-began in March 2020. Of 54,043 retrospective invitations, 5,577 individuals enrolled, representing a 10.3% response rate. Of these, 3,502 (63.7%) were female, and the average age was 56.1 years (standard deviation, 15.4). The baseline survey comprises 11 modules on topics including personal and family health history, lifestyle, and cancer screening and history. Additionally, 11 optional modules cover topics including financial toxicity, occupational exposure, and life meaning. The questions are based on standardized and validated instruments used in other cohorts, and we share resources to expedite development of similar surveys. Data are collected via the MyDataHelps platform, which enables current and future participants to share non-Michigan Medicine EHR data. Recruitment is ongoing. Cohort data are available to those with institutional review board approval; for details, contact the Data Office for Clinical and Translational Research (DataOffice@umich.edu).

Indexed as

Electronic Health RecordsMobile ApplicationsFemaleGenotypeHealth SurveysHumansMaleMiddle AgedRetrospective StudiesSurveys and QuestionnairesBiobankElectronic health recordsEpidemiologyGeneticsSurvey

Identifiers

PMID37591787
PMCPMC10867525

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.