Evidence map›Paper›PMID 36381878›Full record

ArticleCureus2022

Effects of Electroconvulsive Therapy on Glycemic Control in Type 1 Diabetes.

Simona Stefan, Yazan Alzedaneen, Hilary B Whitlatch, Rana Malek, Kashif Munir

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 43% 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, 2 citations in OpenAlex.

  1. 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

5 authors at 3 institutions in 1 country.

Simona StefanDepartment of Medicine, Albert Einstein College of Medicine, New York, USA.
Yazan AlzedaneenDepartment of Medicine, University of Maryland Medical Center Midtown Campus, Baltimore, USA.
Hilary B WhitlatchEndocrinology, Diabetes and Metabolism, University of Maryland School of Medicine, Baltimore, USA.
Rana MalekEndocrinology, Diabetes and Metabolism, University of Maryland School of Medicine, Baltimore, USA.
Kashif MunirEndocrinology, Diabetes and Metabolism, University of Maryland School of Medicine, Baltimore, USA.
University of Maryland, Baltimore · USUniversity of Maryland Medical Center Midtown Campus · USAlbert Einstein College of Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electroconvulsive therapy (ECT) is a treatment modality for refractory depression and other severe psychiatric diseases. Depression is a common comorbid condition of diabetes. Yet, evidence regarding the effect of ECT on glycemic control in patients with diabetes is limited and conflicting, with reports of both exacerbation and amelioration of hyperglycemia. A 52-year-old Caucasian man with a history of type 1 diabetes mellitus (T1DM) was admitted for ECT therapy in the setting of worsening depression refractory to medical treatment. Pre-admission glycemic control was poor. He had significant glycemic variability during his hospitalization with hyper- and hypoglycemia. He required near-daily adjustment of insulin doses and distinct "ECT day" and "non-ECT day" insulin regimens. By the conclusion of his ECT course, in addition to achieving favorable psychiatric recovery, he had a marked improvement in glycemic control. This suggests that the treatment of depression may have beneficial effects on improving glycemic control in patients with T1DM.

Indexed as

depression and diabeteselectro-convulsive therapyglycemic controlinsulin-dependent diabetes mellitustransient hyperglycemiatype 1 diabetes mellitus (t1dm)

Identifiers

PMID36381878
PMCPMC9651074
OpenAlexW4304694663

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.