Evidence map›Paper›PMID 30805857›Full record

ArticleObesity surgery2019

Validation of the Use of Electronic Medical Records for Identification of Post-gastric Bypass Hypoglycemia Cases.

Clare J Lee, G Craig Wood, Nicole Bressler, Tombra Govina, Mariana Lazo, Todd T Brown, Jeanne M Clark, Christopher Still, Peter Benotti

Open access · greenAbstract readValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Obesity surgery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
0.2field-weighted citation impact, top 45% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
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

9 authors at 1 institution in 1 country.

Clare J LeeDivision of Endocrinology, Diabetes & Metabolism, Department of Medicine, The Johns Hopkins University, 1830 E. Monument St., Baltimore, MD, 21287, USA. clee158@jhmi.edu.ORCID http://orcid.org/0000-0002-0824-0207
G Craig WoodGeisinger Obesity Research Institute, Geisinger Clinic, Danville, PA, USA.
Nicole BresslerGeisinger Obesity Research Institute, Geisinger Clinic, Danville, PA, USA.
Tombra GovinaGeisinger Obesity Research Institute, Geisinger Clinic, Danville, PA, USA.
Mariana LazoDivision of General Internal Medicine, Department of Medicine, The Johns Hopkins University, Baltimore, MD, USA.
Todd T BrownDivision of Endocrinology, Diabetes & Metabolism, Department of Medicine, The Johns Hopkins University, 1830 E. Monument St., Baltimore, MD, 21287, USA.
Jeanne M ClarkDivision of General Internal Medicine, Department of Medicine, The Johns Hopkins University, Baltimore, MD, USA.
Christopher StillGeisinger Obesity Research Institute, Geisinger Clinic, Danville, PA, USA.
Peter BenottiGeisinger Obesity Research Institute, Geisinger Clinic, Danville, PA, USA.
Johns Hopkins University · US

Funding

Research BaseP30DK072488 · NIDDK · UNIVERSITY OF MARYLAND BALTIMORE · PI MITCHELL, BRAXTON D, TAYLOR, SIMEON I. · 2005 to 2019
$17.3M
Exploring Mechanisms of Changes in Glucose Homeostasis After Bariatric Surgery: Comparing Vertical Sleeve Gastrectomy and Roux-en-Y Gastric BypassK23DK107921 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI LEE, CLARE JUNG EUN · 2016 to 2018
$582k
NIDDK NIH HHS K23 DK107921NIDDK NIH HHS P30 DK072488
6 · The paper itself

Abstract

objectiveWe sought to validate an algorithm designed to identify patients with post-gastric bypass hypoglycemia (PGBH) using clinician chart review.

methodsWe conducted a chart review study of non-diabetic patients who underwent Roux-en-Y gastric bypass (RYGB) at our institution from 2004 to 2013. The electronic medical record (EMR) algorithm was based on any post-operative glucose <60 mg/dl, diagnosis of hypoglycemia, or medication use for treatment of PGBH and identified 158 charts as PGBH and 1048 charts without PGBH. Two clinicians independently reviewed a random selection of 80 cases and 80 control charts and determined the presence or absence of PGBH by searching the chart using keywords and reviewing laboratory results, medications, and clinic notes.

resultsOf the 160 charts reviewed, the EMR algorithm agreed with the chart review for 130 (accuracy = 80%, 95% CI = 75-87%) with sensitivity of 89% (95% CI = 83-96%) and specificity of 86% (95% CI = 78-93%). We improved the algorithm's accuracy to 90% by limiting the search to data obtained 3 months or more following RYGB.

conclusionThe EMR algorithm has high sensitivity, specificity, and accuracy to identify post-gastric bypass hypoglycemia within our patient cohort. The use EMR-based algorithms may be a useful tool for future research to improve our understanding of epidemiology and risk factors for post-bariatric surgery hypoglycemia.

Indexed as

AlgorithmsElectronic Health RecordsAdolescentAdultAgedCase-Control StudiesCohort StudiesFemaleGastric BypassHumansHypoglycemiaMaleMiddle AgedObesity, MorbidPostoperative ComplicationsPostoperative PeriodBariatric surgeryElectronic medical recordHypoglycemiaValidation

Identifiers

PMID30805857
PMCPMC6544468
OpenAlexW2916905380

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.