Evidence map›Paper›PMID 35984565›Full record

ReviewCurrent diabetes reports2022

Potential Clinical Applications for Continuous Ketone Monitoring in the Hospitalized Patient with Diabetes.

Michelle Jaromy, Joshua D Miller

Open access · bronzeAbstract 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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

9 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
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  8. Article
  9. Glycogen storage diseases.Nature reviews. Disease primers · 2023
    Review
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

2 authors at 2 institutions in 1 country.

Michelle JaromyNew York Institute of Technology College of Osteopathic Medicine, 101 Northern Blvd, Glen Head, Oyster Bay, NY, 11545, USA.
Joshua D MillerDivision of Endocrinology and Metabolism, Renaissance School of Medicine at Stony Brook University, 100 Nicolls Rd, Stony Brook, Brookhaven, NY, 11794, USA. Joshua.Miller@stonybrookmedicine.edu.
New York Institute of Technology · USStony Brook School · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewIn this review, the authors discuss potential clinical applications for continuous ketone monitoring (CKM) in a broad continuum of clinical settings from pre-hospital care and the emergency department to acute inpatient management and post-discharge follow-up. RECENT

findingsThough in its early stages, the concept of a novel continuous ketone sensing technology exerts great potential for use in the detection and hospital management of DKA, namely to overcome diagnostic barriers associated with ketoacidosis in patients with diabetes and obtain real-time BOHB levels, which may be useful in understanding both patients' response to treatment and DKA trajectory. Peri- and intra-operative use of CKM technology can potentially be applied in a number of urgent and elective surgical procedures frequently underwent by patients with diabetes and in the observation of patients during peri-operative fasting. In transitional care management, CKM technology could potentially facilitate patients' safe transition through levels of care, following hospital discharge from a DKA episode. This evaluation of the literature presents the potential advantages of adopting CKM and integrating this technology into the care algorithm of patients at risk for ketoacidosis.

Indexed as

AcidosisDiabetes MellitusDiabetic KetoacidosisKetosisAftercareHumansKetonesPatient DischargeKetonesB-hydroxybutyrateDiabetesDiabetic ketoacidosisDKAKetoneMonitor

Identifiers

PMID35984565
PMCPMC9388986
OpenAlexW4292369329

What Socratic holds

Textmetadata
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 Socratic graph.