Article in Chronobiology international, 2018. 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
0.4field-weighted citation impact, top 28% 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
1 citing paper in PubMed, 2 citations in OpenAlex.
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
4 authors at 2 institutions in 1 country.
Seth D Rhoadesa Department of Biomedical Informatics , Vanderbilt University Medical Center , Nashville , Tennessee , USA.ORCID 0000-0003-3849-2162
Lisa Bastarachea Department of Biomedical Informatics , Vanderbilt University Medical Center , Nashville , Tennessee , USA.
Joshua C Dennya Department of Biomedical Informatics , Vanderbilt University Medical Center , Nashville , Tennessee , USA.
Jacob J Hugheya Department of Biomedical Informatics , Vanderbilt University Medical Center , Nashville , Tennessee , USA.ORCID 0000-0002-1558-6089
Vanderbilt University Medical Center · USVanderbilt University · US
Funding
The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
Pharmacogenomics of Arrhythmia TherapyU19HL065962 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI RODEN, DAN M · 2010 to 2014
$17.4M
Understanding and preventing HLA-associated drug reactionsP50GM115305 · NIGMS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI DENNY, JOSHUA C. · 2015 to 2019
$13.0M
From GWAS to PheWAS: Scanning the EMR Phenome for Gene-disease AssociationsR01LM010685 · NLM · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BASTARACHE, LISA · 2011 to 2022
$6.3M
VGM: Vanderbilt Genomic Medicine Training ProgramT32HG008341 · NHGRI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Nancy J Cox, Joseph F. Peterson · 2016 to 2026
$2.8M
A Multi-scale Approach to the Mammalian Circadian System and Its Role in Human Health and Disease - Administrative SupplementR35GM124685 · NIGMS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI HUGHEY, JACOB J · 2017 to 2021
$2.1M
Automated Storage and Retrieval of Biological SystemsS10RR025141 · NCRR · VANDERBILT UNIVERSITY · PI RODEN, DAN M · 2008 to 2008
The electronic health record (EHR) contains rich histories of clinical care, but has not traditionally been mined for information related to sleep habits. Here, we performed a retrospective EHR study based on a cohort of 3,652 individuals with self-reported sleep behaviors documented from visits to the sleep clinic. These individuals were obese (mean body mass index 33.6 kg/m
Indexed as
Electronic Health RecordsAdolescentAdultCircadian RhythmDepressionFemaleHumansMaleSelf ReportSleepSurveys and QuestionnairesTime FactorsYoung Adultelectronic health recordsgeneticsphenome-wide association studySleep
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.
Pulling the covers in electronic health records for an association study with self-reported sleep behaviors. · full record | OpenQuestion