Evidence map›Paper›PMID 24810147›Full record

ArticlePrimary care diabetes2015

Initiation of treatment for incident diabetes: evidence from the electronic health records in an ambulatory care setting.

Sukyung Chung, Beinan Zhao, Diane Lauderdale, Randolph Linde, Randall Stafford, Latha Palaniappan

Abstract read
In one paragraph

Article in Primary care diabetes, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
  2. Observational
  3. Article
  4. Review
  5. Article
  6. Article
  7. 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

6 authors.

Sukyung ChungPalo Alto Medical Foundation Research Institute, Ames Building, 795 El Camino Real, Palo Alto, CA 94301, United States. Electronic address: chungs@pamfri.org.
Beinan ZhaoPalo Alto Medical Foundation Research Institute, Palo Alto, CA, United States.
Diane LauderdaleUniversity of Chicago, Department of Health Studies, Chicago, IL, United States.
Randolph LindePalo Alto Medical Foundation, Endocrinology Department, Palo Alto, CA, United States.
Randall StaffordStanford University, Prevention Research Center, Palo Alto, CA, United States.
Latha PalaniappanPalo Alto Medical Foundation Research Institute and Stanford University, Prevention Research Center, Palo Alto, CA, United States.

Funding

Re-Engineering Translational Research at the University of ChicagoUL1TR000430 · NCATS · UNIVERSITY OF CHICAGO · PI SOLWAY, JULIAN · 2012 to 2016
$20.2M
Strength Training Regimen fOr Normal weiGht Diabetics (STRONG-D)R01DK081371 · NIDDK · STANFORD UNIVERSITY · PI CHURCH, TIMOTHY STEPHEN, PALANIAPPAN, LATHA P · 2009 to 2018
$6.0M
Translating Clinical Decision Making into Systems of Care: A Mid-Career MentorK24HL086703 · NHLBI · STANFORD UNIVERSITY · PI STAFFORD, RANDALL SCOTT · 2007 to 2016
$1.5M
Measuring and Compensating Primary Care Physician EffortK01HS019815 · AHRQ · PALO ALTO MEDICAL FOUNDATION RES INST · PI CHUNG, SUKYUNG · 2012 to 2016
$804k
AHRQ HHS K01 HS019815AHRQ HHS K01HS019815NCATS NIH HHS UL1 TR000430NHLBI NIH HHS K24 HL086703NIDDK NIH HHS 1R01DK081371NIDDK NIH HHS R01 DK081371
6 · The paper itself

Abstract

objectiveWe examined patterns and predictors of initiation of treatment for incident diabetes in an ambulatory care setting in the US.

methodsData were extracted from electronic health records (EHR) for active patients ≥ 35 years in a multispecialty, multiclinic ambulatory care organization with 1000 providers. New onset type 2 diabetes and subsequent treatment were identified using lab, diagnosis, medication prescription, and service use data. Time from the first evidence of diabetes until initial treatment, either medication or education/counseling, was examined using a Kaplan-Meier hazards curve. Potential predictors of initial treatment were examined using multinomial logistic models accounting for physician random effects.

resultsOf 2258 patients with incident diabetes, 55% received either medication or education/counseling (20% received both) during the first year. Of the treated patients, 68% received a treatment within the first four weeks, and 13% after initial 16 weeks. Strong positive predictors (P < 0.01) of combined treatment were younger age, higher fasting glucose at diagnosis, obesity, and visits with an endocrinologist.

conclusionsAmong insured patients who have a primary care provider in a multispecialty health care system, incident diabetes is treated only half the time. Improved algorithms for identifying incident diabetes from the EHR and team approach for monitoring may help treatment initiation.

Indexed as

Ambulatory CareAmbulatory Care FacilitiesElectronic Health RecordsRisk Reduction BehaviorTime-to-TreatmentAdultAgedAged, 80 and overCounselingDiabetes Mellitus, Type 2FemaleGuideline AdherenceHealth Knowledge, Attitudes, PracticeHumansHypoglycemic AgentsIncidenceHypoglycemic AgentsAmbulatory careDiabetes treatmentIncident diabetes

Identifiers

PMID24810147
PMCPMC4221568

What OpenQuestion holds

Textmetadata
LicenceTDM
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.