Evidence map›Paper›PMID 26307607›Full record

ArticleDiabetes care2015

Potential Impact of Prescribing Metformin According to eGFR Rather Than Serum Creatinine.

Delphine S Tuot, Feng Lin, Michael G Shlipak, Vanessa Grubbs, Chi-yuan Hsu, Jerry Yee, Vahakn Shahinian, Rajiv Saran, Sharon Saydah, Desmond E Williams and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Diabetes care, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 12% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Improving Equity in Medication Use through Better Kidney Function Measurement.Journal of the American Society of Nephrology : JASN · 2020
    Article
  6. Article
  7. Article
  8. Article
  9. Use of cystatin C to inform metformin eligibility among adult veterans with diabetes.Journal of clinical & translational endocrinology · 2016
    Article
  10. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 1 country.

Delphine S TuotDivision of Nephrology, University of California, San Francisco, San Francisco, CA Center for Vulnerable Populations, San Francisco General Hospital, San Francisco, CA delphine.tuot@ucsf.edu.
Feng LinDepartment of Biostatistics, University of California, San Francisco, San Francisco, CA.
Michael G ShlipakDepartment of Medicine, University of California, San Francisco, San Francisco, CA.
Vanessa GrubbsDivision of Nephrology, University of California, San Francisco, San Francisco, CA Center for Vulnerable Populations, San Francisco General Hospital, San Francisco, CA.
Chi-yuan HsuDivision of Nephrology, University of California, San Francisco, San Francisco, CA.
Jerry YeeDivision of Nephrology and Hypertension, Henry Ford Hospital, Detroit, MI.
Vahakn ShahinianDivision of Nephrology, Department of Medicine, University of Michigan, Ann Arbor, MI.
Rajiv SaranDivision of Nephrology, Department of Medicine, University of Michigan, Ann Arbor, MI.
Sharon SaydahCenters for Disease Control and Prevention, Atlanta, GA.
Desmond E WilliamsCenters for Disease Control and Prevention, Atlanta, GA.
Neil R PoweCenter for Vulnerable Populations, San Francisco General Hospital, San Francisco, CA Department of Medicine, University of California, San Francisco, San Francisco, CA.
CDC CKD Surveillance Team
University of California, San Francisco · USCenters for Disease Control and Prevention · USUniversity of Michigan–Ann Arbor · USHenry Ford Hospital · US

Funding

Engaging University of California Stakeholders for Biorespository ResearchUL1TR000004 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GRANDIS, JENNIFER RUBIN · 2012 to 2015
$78.0M
ESTABLISHING A SURVEILLANCE SYSTEM FOR CHRONIC KIDNEY DISEASE IN THE U.S.U58DP003839 · DP · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI POWE, NEIL R. · 2011 to 2014
$1.8M
Patient Oriented Research in Kidney DiseaseK24DK092291 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HSU, CHI-YUAN · 2011 to 2020
$1.2M
CKD awareness and self-management: Interventions for Safety-Net PatientsK23DK094850 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI TUOT, DELPHINE · 2012 to 2015
$754k
Intramural CDC HHS CC999999NCATS NIH HHS UL1 TR000004NCATS NIH HHS UL1TR000004NCCDPHP CDC HHS U58 DP003839NIDDK NIH HHS K23 DK094850NIDDK NIH HHS K23-DK-094850NIDDK NIH HHS K24 DK092291
6 · The paper itself

Abstract

objectiveMany societies recommend using estimated glomerular filtration rate (eGFR) rather than serum creatinine (sCr) to determine metformin eligibility. We examined the potential impact of these recommendations on metformin eligibility among U.S. adults. RESEARCH DESIGN AND

methodsMetformin eligibility was assessed among 3,902 adults with diabetes who participated in the 1999-2010 National Health and Nutrition Examination Surveys and reported routine access to health care, using conventional sCr thresholds (eligible if <1.4 mg/dL for women and <1.5 mg/dL for men) and eGFR categories: likely safe, ≥45 mL/min/1.73 m(2); contraindicated, <30 mL/min/1.73 m(2); and indeterminate, 30-44 mL/min/1.73 m(2)). Different eGFR equations were used: four-variable MDRD, Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) creatinine (CKD-EPIcr), and CKD-EPI cystatin C, as well as Cockcroft-Gault (CG) to estimate creatinine clearance (CrCl). Diabetes was defined by self-report or A1C ≥6.5% (48 mmol/mol). We used logistic regression to identify populations for whom metformin was likely safe adjusted for age, race/ethnicity, and sex. Results were weighted to the U.S. adult population.

resultsAmong adults with sCr above conventional cutoffs, MDRD eGFR ≥45 mL/min/1.73 m(2) was most common among men (adjusted odds ratio [aOR] 33.3 [95% CI 7.4-151.5] vs. women) and non-Hispanic Blacks (aOR vs. whites 14.8 [4.27-51.7]). No individuals with sCr below conventional cutoffs had an MDRD eGFR <30 mL/min/1.73 m(2). All estimating equations expanded the population of individuals for whom metformin is likely safe, ranging from 86,900 (CKD-EPIcr) to 834,800 (CG). All equations identified larger populations with eGFR 30-44 mL/min/1.73 m(2), for whom metformin safety is indeterminate, ranging from 784,700 (CKD-EPIcr) to 1,636,000 (CG).

conclusionsThe use of eGFR or CrCl to determine metformin eligibility instead of sCr can expand the adult population with diabetes for whom metformin is likely safe, particularly among non-Hispanic blacks and men.

Indexed as

AdultAgedAged, 80 and overCreatinineDiabetes Mellitus, Type 2Diabetic NephropathiesDrug PrescriptionsFemaleGlomerular Filtration RateHumansHypoglycemic AgentsMaleMetforminMiddle AgedNutrition SurveysPractice Guidelines as TopicCreatinineHypoglycemic AgentsMetformin

Identifiers

PMID26307607
PMCPMC4613912
OpenAlexW1839017174

What OpenQuestion holds

Texttitle and abstract
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.