Evidence map›Paper›PMID 35917098›Full record

ReviewCurrent diabetes reports2022

Electronic Health Record-Based Decision-Making Support in Inpatient Diabetes Management.

Johanna E Gerwer, Grace Bacani, Patricia S Juang, Kristen Kulasa

Abstract readReview
In one paragraph

Review in Current diabetes reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Association Between Daily Insulin Dose Adjustments and Glycemic Control in Noncritically Ill Hospitalized Hyperglycemic Patients: A Retrospective Cohort Study.Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Toward better diabetes care: Exploration and implementation.Journal of diabetes investigation · 2023
    Review
  10. Review
  11. 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

4 authors.

Johanna E GerwerDepartment of Internal Medicine, Division of Endocrinology and Metabolism, University of California San Diego, San Diego, CA, USA.
Grace BacaniDepartment of Internal Medicine, Division of Endocrinology and Metabolism, University of California San Diego, San Diego, CA, USA.
Patricia S JuangDepartment of Internal Medicine, Division of Endocrinology and Metabolism, University of California San Diego, San Diego, CA, USA.
Kristen KulasaDepartment of Internal Medicine, Division of Endocrinology and Metabolism, University of California San Diego, San Diego, CA, USA. kkulasa@health.ucsd.edu.ORCID 0000-0002-3559-5046

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewThis review discusses ways in which the electronic health record (EHR) can offer clinical decision support (CDS) tools for management of inpatient diabetes and hyperglycemia. RECENT

findingsThe use of electronic order sets can help providers order comprehensive basal bolus insulin regimens that are consistent with current guidelines. Order sets have been shown to reduce insulin errors and hypoglycemia rates. They can also help set glycemic targets, give hemoglobin A1C reminders, guide weight-based dosing, and match insulin regimen to nutritional profile. Glycemic management dashboards allow multiple variables affecting blood glucose to be shown in a single view, which allows for efficient evaluation of glucose trends and adjustment of insulin regimen. With the use glycemic management dashboards, active surveillance and remote management also become feasible. Hypoglycemia prevention and management are another part of inpatient diabetes management that is enhanced by EHR CDS tools. Furthermore, diagnosis and management of diabetic ketoacidosis and hyperglycemia hyperosmolar state are improved with the aid of EHR CDS tools. The use of EHR CDS tools helps improve the care of patients with diabetes and hyperglycemia in the inpatient hospital setting.

Indexed as

Diabetes MellitusDiabetic KetoacidosisHyperglycemiaHypoglycemiaBlood GlucoseElectronic Health RecordsHumansHypoglycemic AgentsInpatientsInsulinBlood GlucoseHypoglycemic AgentsInsulinClinical decision supportElectronic health recordHyperglycemiaInpatient diabetes managementOrder sets

Identifiers

PMID35917098
PMCPMC9355925

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.