Evidence map›Paper›PMID 31236141›Full record

ArticleDiabetology & metabolic syndrome2019

The influence of demographic, social-educational determinants and diabetes management on agreement between glucometer and logbook and its impact on glycemic control in patients with type 1 diabetes: a follow-up study.

Rebeca Cavalcante, Alessandra S M Matheus, Aneliza Zanette, Bruna Braga, Bruna Duarte, Bruna Würdig, Daniele Maieron, João Scarparo Sorio, Luciana Bagatini, Michelle Cherit and 1 more

Open access · goldAbstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 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

11 authors at 1 institution in 1 country.

Rebeca CavalcanteDepartment of Internal Medicine, Diabetes Unit, State University Hospital of Rio de Janeiro, Rio de Janeiro, RJ Brazil.
Alessandra S M MatheusDepartment of Internal Medicine, Diabetes Unit, State University Hospital of Rio de Janeiro, Rio de Janeiro, RJ Brazil.
Aneliza ZanetteDepartment of Internal Medicine, Diabetes Unit, State University Hospital of Rio de Janeiro, Rio de Janeiro, RJ Brazil.
Bruna BragaDepartment of Internal Medicine, Diabetes Unit, State University Hospital of Rio de Janeiro, Rio de Janeiro, RJ Brazil.
Bruna DuarteDepartment of Internal Medicine, Diabetes Unit, State University Hospital of Rio de Janeiro, Rio de Janeiro, RJ Brazil.
Bruna WürdigDepartment of Internal Medicine, Diabetes Unit, State University Hospital of Rio de Janeiro, Rio de Janeiro, RJ Brazil.
Daniele MaieronDepartment of Internal Medicine, Diabetes Unit, State University Hospital of Rio de Janeiro, Rio de Janeiro, RJ Brazil.
João Scarparo SorioDepartment of Internal Medicine, Diabetes Unit, State University Hospital of Rio de Janeiro, Rio de Janeiro, RJ Brazil.
Luciana BagatiniDepartment of Internal Medicine, Diabetes Unit, State University Hospital of Rio de Janeiro, Rio de Janeiro, RJ Brazil.
Michelle CheritDepartment of Internal Medicine, Diabetes Unit, State University Hospital of Rio de Janeiro, Rio de Janeiro, RJ Brazil.
Marilia Brito GomesDepartment of Internal Medicine, Diabetes Unit, State University Hospital of Rio de Janeiro, Rio de Janeiro, RJ Brazil.
Universidade do Estado do Rio de Janeiro · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe primary objective of this study was to evaluate the demographic, clinical, social-educational determinants and diabetes management factors that have influenced the agreement between glycaemia obtained from a glucometer and logbook; the second objective was to evaluate the influence of the above-mentioned factors on glycemic control and its trajectories in Type 1 diabetes (T1D) over 1 year follow-up period during routine clinical practice.

methodsThis was a prospective observational cohort study conducted at the Diabetes Unit at Rio de Janeiro's State University, between May 2017 and May 2018. All consecutive patients with clinical diagnosis of T1D that attended the Diabetes Unit between April and June 2017 were enrolled in this study.

resultsData were obtained from 158 patients. Overall, for 112 (73.2%) of the patients, we found no agreement between glycaemia obtained from a glucometer and the logbook (group 2). In 41 (26.8%) of the patients there was an agreement (group 1). Patients from group 1 presented a lower mean glycated hemoglobin (HbA1c) (p = 0.03) and a tendency to have a lower baseline HbA1c (p = 0.08), they received more frequently strips for glucose monitoring from the Sistema Único de Saúde (SUS) (p = 0.047) and were more adherent to the prescribed diet (p = 0.01) than patients from group 2. Multivariate analysis of this agreement (as a dependent variable) showed that adherence to diet was the only significant independent variable. Significant difference was noted between baseline and final HbA1c [(9.4 ± 2.2%) vs (9.03 ± 1.8%), p = 0.017], respectively.

conclusionsOur study revealed that the majority of T1D patients that were followed at a tertiary center did not have significant agreement between glycaemia obtained from a glucometer and a logbook. Adherence to diet was the main factor related to the agreement, but the supply of strips by SUS should also be considered in clinical practice.

Indexed as

GlucometerGlycemic controlSelf-monitoring blood glucoseSocio-educational determinantsType 1 diabetes

Identifiers

PMID31236141
PMCPMC6580586
OpenAlexW2952943597

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.