Evidence map›Paper›PMID 28181568›Full record

ArticleScientific reports2017

Predictive Modeling of Physician-Patient Dynamics That Influence Sleep Medication Prescriptions and Clinical Decision-Making.

Andrew L Beam, Uri Kartoun, Jennifer K Pai, Arnaub K Chatterjee, Timothy P Fitzgerald, Stanley Y Shaw, Isaac S Kohane

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.3field-weighted citation impact, top 9% 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

9 citing papers in PubMed, 19 citations in OpenAlex.

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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

7 authors at 4 institutions in 1 country.

Andrew L BeamDepartment of Biomedical Informatics, Harvard Medical School, Boston MA, USA.
Uri KartounCenter for Systems Biology; Center for Assessment Technology &Continuous Health (CATCH), Massachusetts General Hospital, Boston MA, USA.
Jennifer K PaiMerck &Co., Inc., Boston, MA, USA.
Arnaub K ChatterjeeMerck &Co., Inc., Boston, MA, USA.
Timothy P FitzgeraldMerck &Co., Inc West Point, PA, USA.
Stanley Y ShawCenter for Systems Biology; Center for Assessment Technology &Continuous Health (CATCH), Massachusetts General Hospital, Boston MA, USA.
Isaac S KohaneDepartment of Biomedical Informatics, Harvard Medical School, Boston MA, USA.
Harvard University · USMerck & Co., Inc., Rahway, NJ, USA (United States) · USCenter for Assessment · USUnited States Military Academy · US

Funding

TrainingU54HG007963 · NHGRI · HARVARD MEDICAL SCHOOL · PI KOHANE, ISAAC S., MURPHY, SHAWN N · 2014 to 2018
$18.3M
NHGRI NIH HHS U54 HG007963
6 · The paper itself

Abstract

Insomnia remains under-diagnosed and poorly treated despite its high economic and social costs. Though previous work has examined how patient characteristics affect sleep medication prescriptions, the role of physician characteristics that influence this clinical decision remains unclear. We sought to understand patient and physician factors that influence sleep medication prescribing patterns by analyzing Electronic Medical Records (EMRs) including the narrative clinical notes as well as codified data. Zolpidem and trazodone were the most widely prescribed initial sleep medication in a cohort of 1,105 patients. Some providers showed a historical preference for one medication, which was highly predictive of their future prescribing behavior. Using a predictive model (AUC = 0.77), physician preference largely determined which medication a patient received (OR = 3.13; p = 3 × 10

Indexed as

Clinical Decision-MakingDrug PrescriptionsModels, TheoreticalPhysician-Patient RelationsCohort StudiesHumansLogistic ModelsOdds RatioPyridinesSleepTrazodoneZolpidemPyridinesTrazodoneZolpidem

Identifiers

PMID28181568
PMCPMC5299453
OpenAlexW2587274904

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.