Evidence map›Paper›PMID 30301884›Full record

ArticleNature communications2018

Patchwork of contrasting medication cultures across the USA.

Rachel D Melamed, Andrey Rzhetsky

Abstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

2 authors.

Rachel D MelamedInstitute of Genomics, Genetics, and Systems Biology, Biological Sciences Division, Chicago, 60637, IL, USA.
Andrey RzhetskyInstitute of Genomics, Genetics, and Systems Biology, Biological Sciences Division, Chicago, 60637, IL, USA. arzhetsky@uchicago.edu.ORCID http://orcid.org/0000-0001-6959-7405

Funding

Modeling the temporal succession of phenotypes & environnnental cuesP50MH094267 · NIMH · UNIVERSITY OF CHICAGO · PI RZHETSKY, ANDREY · 2011 to 2015
$10.2M
MAPGen Knowledge Base (MAPGenKB) and Coordination CenterU01HL108634 · NHLBI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ZHOU, XIANGHONG JASMINE · 2011 to 2015
$5.3M
Mendelian Disease - Asthma Comorbidity to Find Subgroup-Specific Asthma GenesR01HL122712 · NHLBI · UNIVERSITY OF CHICAGO · PI OBER, CAROLE, RZHETSKY, ANDREY · 2015 to 2018
$3.1M
Using clinical data to identify FDA-approved drugs for cancer prevention and therapeutic repurposingK01ES028055 · NIEHS · UNIVERSITY OF MASSACHUSETTS LOWELL · PI MELAMED, RACHEL DANIA · 2017 to 2020
$500k
NHLBI NIH HHS R01 HL122712NHLBI NIH HHS U01 HL108634NIEHS NIH HHS K01 ES028055NIMH NIH HHS P50 MH094267
6 · The paper itself

Abstract

Health in the United States is markedly heterogeneous, with large disparities in disease incidence, treatment choices and health spending. Drug prescription is one major component of health care-reflecting the accuracy of diagnosis, the adherence to evidence-based guidelines, susceptibility to drug marketing and regulatory factors. Using medical claims data covering nearly half of the USA population, we have developed and validated a framework to compare prescription rates of 600 popular drugs in 2334 counties. Our approach uncovers geographically separated sub-Americas, where patients receive treatment for different diseases, and where physicians choose different drugs for the same disease. The geographical variation suggests influences of racial composition, state-level health care laws and wealth. Some regions consistently prefer more expensive drugs, even when they have not been proven more efficacious than cheaper alternatives. Our study underlines the benefit of aggregating massive information on medical practice into a summarized and actionable form.

Indexed as

Drug PrescriptionsGeographyHumansModels, TheoreticalRural PopulationUnited StatesUrban Population

Identifiers

PMID30301884
PMCPMC6177425

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.