Evidence map›Paper›PMID 33319487›Full record

Observational studyDiabetes, obesity & metabolism2021

A retrospective observational population-based study to assess the prevalence and burden of illness of type 2 diabetes with an estimated glomerular filtration rate < 90 mL/min/1.73 m

Wally Rapattoni, David Zante, Marko Tomas, Varun Myageri, Shane Golden, Prerna Grover, Ali Tehrani, Brad Millson, Sheldon W Tobe, Jennifer B Rose

Abstract readObservational Study
In one paragraph

Observational study in Diabetes, obesity & metabolism, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Humanistic and Economic Burden of Patients with Cardiorenal Metabolic Conditions: A Systematic Review.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2023
    Review
  3. Observational
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

10 authors.

Wally RapattoniJanssen Inc., Toronto, Ontario, Canada.ORCID 0000-0001-6400-982X
David ZanteJanssen Inc., Toronto, Ontario, Canada.
Marko TomasJanssen Inc., Toronto, Ontario, Canada.
Varun MyageriIQVIA, Kirkland, Quebec, Canada.
Shane GoldenIQVIA, Kirkland, Quebec, Canada.
Prerna GroverIQVIA, Kirkland, Quebec, Canada.ORCID 0000-0002-2744-2955
Ali TehraniIQVIA, Kirkland, Quebec, Canada.
Brad MillsonIQVIA, Kirkland, Quebec, Canada.
Sheldon W TobeSunnybrook Health Sciences Centre, Toronto, Ontario, Canada.
Jennifer B RoseJanssen Inc., Toronto, Ontario, Canada.ORCID 0000-0001-5961-7134

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo better understand the healthcare burden of people with type 2 diabetes (T2D) and estimated glomerular filtration rate (eGFR) < 90 mL/min/1.73 m MATERIALS AND

methodsWe used administrative data to evaluate the prevalence of T2D, eGFR < 90 mL/min/1.73 m

resultsWhile the prevalence of T2D in the general population aged ≥ 30 years in Ontario increased by 1.8% over a 5-year period (2011-2012 to 2015-2016), the prevalence of eGFR < 90 mL/min/1.73 m

conclusionsThis real-world retrospective study highlights an increasing prevalence of T2D, eGFR < 90 mL/min/1.73 m

Indexed as

Diabetes Mellitus, Type 2Renal Insufficiency, ChronicCost of IllnessGlomerular Filtration RateHumansOntarioPrevalenceRetrospective Studiescardiovascular diseasediabetes complicationsdiabetic nephropathyhealth economicspopulation studytype 2 diabetes

Identifiers

PMID33319487
PMCPMC8049006

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.