Evidence map›Paper›PMID 30202117›Full record

ArticleNature reviews. Endocrinology2018

Glucose dysregulation phenotypes - time to improve outcomes.

Francesco Zaccardi, Kamlesh Khunti

Registry-linked trialAbstract readComment
PubMed Publisher
In one paragraph

Article in Nature reviews. Endocrinology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07064499 (CGM Boosted by Artificial Intelligence for Better Glycaemic Control in T2 Diabetes), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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.

NCT07064499 active not recruitingnot on this mapstarted 2023, after this paper: background citation

CGM Boosted by Artificial Intelligence for Better Glycaemic Control in T2 Diabetes: a Real-life Multicentre Observational Study in Belgium.

TypeobservationalSponsorErasme University HospitalRan2023 to 2027Enrolled440ConditionsType 2 Diabetes
3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Francesco ZaccardiLeicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, UK.ORCID http://orcid.org/0000-0002-2636-6487
Kamlesh KhuntiLeicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, UK. kk22@leicester.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Blood GlucoseGlucoseHumansInsulinPhenotypeBlood GlucoseGlucoseInsulin

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.