Evidence map›Paper›PMID 28682851›Full record

ArticleEpidemiology (Cambridge, Mass.)2017

Sentinel Modular Program for Propensity Score-Matched Cohort Analyses: Application to Glyburide, Glipizide, and Serious Hypoglycemia.

Meijia Zhou, Shirley V Wang, Charles E Leonard, Joshua J Gagne, Candace Fuller, Christian Hampp, Patrick Archdeacon, Sengwee Toh, Aarthi Iyer, Tiffany Siu Woodworth and 6 more

Open access · greenAbstract readVideo-Audio Media
In one paragraph

Article in Epidemiology (Cambridge, Mass.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
12.4field-weighted citation impact, top 2% 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

17 citing papers in PubMed, 33 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

16 authors at 8 institutions in 1 country.

Meijia ZhouFrom the aCenter for Pharmacoepidemiology Research and Training, Center for Clinical Epidemiology and Biostatistics, Department of Biostatistics and Epidemiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA; bDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; cDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA; dCenter for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD; and eDepartment of Epidemiology, College of Public Health, University of Iowa, Iowa City, IA.
Shirley V Wang
Charles E Leonard
Joshua J Gagne
Candace Fuller
Christian Hampp
Patrick Archdeacon
Sengwee Toh
Aarthi Iyer
Tiffany Siu Woodworth
Elizabeth Cavagnaro
Catherine A Panozzo
Sophia Axtman
Ryan M Carnahan
Elizabeth A Chrischilles
Sean Hennessy
Harvard Pilgrim Health Care · USHarvard University · USUniversity of Iowa · USUniversity of Pennsylvania · USBrigham and Women's Hospital · USCenter for Clinical Research (United States) · USCenter for Drug Evaluation and Research · USUnited States Food and Drug Administration · US

Funding

Clinical Importance of Drug-Drug InteractionsR01AG025152 · NIA · UNIVERSITY OF PENNSYLVANIA · PI HENNESSY, SEAN, LI, LANG · 2006 to 2021
$8.1M
Drug-Drug Interactions Involving Antidiabetic AgentsR01DK102694 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI HENNESSY, SEAN, LI, LANG · 2014 to 2017
$2.4M
Methods for studying treatment heterogeneity using large observational databasesR00HS022193 · AHRQ · BRIGHAM AND WOMEN'S HOSPITAL · PI WANG, SHIRLEY · 2015 to 2017
$747k
AHRQ HHS R00 HS022193FDA HHS HHSF223200910006INIA NIH HHS R01 AG025152NIDDK NIH HHS R01 DK102694
6 · The paper itself

Abstract

Sentinel is a program sponsored by the US Food and Drug Administration to monitor the safety of medical products. We conducted a cohort assessment to evaluate the ability of the Sentinel Propensity Score Matching Tool to reproduce in an expedited fashion the known association between glyburide (vs. glipizide) and serious hypoglycemia. Thirteen data partners who contribute to the Sentinel Distributed Database participated in this analysis. A pretested and customizable analytic program was run at each individual site. De-identified summary results from each data partner were returned and aggregated at the Sentinel Operations Center. We identified a total of 198,550 and 379,507 new users of glyburide and glipizide, respectively. The incidence of emergency department visits and hospital admissions for serious hypoglycemia was 19 per 1000 person-years (95% confidence interval = 17.9, 19.7) for glyburide users and 22 (21.6, 22.7) for glipizide users. In cohorts matched by propensity score based on predefined variables, the hazard ratio (HR) for glyburide was 1.36 (1.24, 1.49) versus glipizide. In cohorts matched on a high-dimensional propensity score based on empirically selected variables, for which the program ran to completion in five data partners, the HR was 1.49 (1.31, 1.70). In cohorts matched on propensity scores based on both predefined and empirically selected variables via the high-dimensional propensity score algorithm (the same five data partners), the HR was 1.51 (1.32, 1.71). These findings are consistent with the literature, and demonstrate the ability of the Sentinel Propensity Score Matching Tool to reproduce this known association in an expedited fashion.See video abstract at, http://links.lww.com/EDE/B275.

Indexed as

Sentinel SurveillanceAdultAgedCohort StudiesDiabetes Mellitus, Type 2Emergency Service, HospitalFemaleGlipizideGlyburideHospitalizationHumansHypoglycemiaHypoglycemic AgentsIncidenceMaleMiddle AgedGlipizideGlyburideHypoglycemic Agents

Identifiers

PMID28682851
PMCPMC6554646
OpenAlexW2724923863

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.