Evidence map›Paper›PMID 35689214›Full record

ArticleCardiovascular diabetology2022

Epidemiology of the diabetes-cardio-renal spectrum: a cross-sectional report of 1.4 million adults.

Meir Schechter, Cheli Melzer Cohen, Ilan Yanuv, Aliza Rozenberg, Gabriel Chodick, Johan Bodegård, Lawrence A Leiter, Subodh Verma, Hiddo J Lambers Heerspink, Avraham Karasik and 1 more

Abstract read
In one paragraph

Article in Cardiovascular diabetology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. The Current Place of DPP4 Inhibitors in the Evolving Landscape of Type 2 Diabetes Management: Is It Time to Bid Adieu?American journal of cardiovascular drugs : drugs, devices, and other interventions · 2023
    Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. 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

11 authors.

Meir SchechterDiabetes Unit, Department of Endocrinology and Metabolism, Hadassah Medical Center, P.O. Box 12000, 9112001, Jerusalem, Israel.
Cheli Melzer CohenMaccabi Institute for Research and Innovation, Maccabi Healthcare Services, Tel-Aviv, Israel.
Ilan YanuvDiabetes Unit, Department of Endocrinology and Metabolism, Hadassah Medical Center, P.O. Box 12000, 9112001, Jerusalem, Israel.
Aliza RozenbergDiabetes Unit, Department of Endocrinology and Metabolism, Hadassah Medical Center, P.O. Box 12000, 9112001, Jerusalem, Israel.
Gabriel ChodickMaccabi Institute for Research and Innovation, Maccabi Healthcare Services, Tel-Aviv, Israel.
Johan BodegårdCardiovascular, Renal and Metabolism, Medical Department, BioPharmaceuticals, AstraZeneca, Oslo, Norway.
Lawrence A LeiterLi Ka Shing Knowledge Institute, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada.
Subodh VermaDivision of Cardiac Surgery, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada.
Hiddo J Lambers HeerspinkDepartment of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Avraham KarasikMaccabi Institute for Research and Innovation, Maccabi Healthcare Services, Tel-Aviv, Israel.
Ofri MosenzonDiabetes Unit, Department of Endocrinology and Metabolism, Hadassah Medical Center, P.O. Box 12000, 9112001, Jerusalem, Israel. OFRIM@hadassah.org.il.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundType-2 diabetes (T2D), chronic kidney disease, and heart failure (HF) share epidemiological and pathophysiological features. Although their prevalence was described, there is limited contemporary, high-resolution, epidemiological data regarding the overlap among them. We aimed to describe the epidemiological intersections between T2D, HF, and kidney dysfunction in an entire database, overall and by age and sex.

methodsThis is a cross-sectional analysis of adults ≥ 25 years, registered in 2019 at Maccabi Healthcare Services, a large healthcare maintenance organization in Israel. Collected data included sex, age, presence of T2D or HF, and last estimated glomerular filtration rate (eGFR) in the past two years. Subjects with T2D, HF, or eGFR < 60 mL/min/1.73 m

resultsOverall, 1,389,604 subjects (52.2% females) were included; 445,477 (32.1%) were 25- < 40 years, 468,273 (33.7%) were 40- < 55 years, and 475,854 (34.2%) were ≥ 55 years old. eGFR measurements were available in 74.7% of the participants and in over 97% of those with T2D or HF. eGFR availability increased in older age groups. There were 140,636 (10.1%) patients with T2D, 54,187 (3.9%) with eGFR < 60 mL/min/1.73m

conclusionsThis large, broad-based study provides a contemporary, high-resolution prevalence of the DCR spectrum and its components. The results highlight differences in dominance and degree of congruence between T2D, HF, and kidney dysfunction across ages.

Indexed as

Diabetes Mellitus, Type 2Heart FailureRenal InsufficiencyRenal Insufficiency, ChronicAdultAgedCross-Sectional StudiesFemaleGlomerular Filtration RateHumansKidneyMaleMiddle AgedChronic Kidney DiseaseCross-sectional StudyDiabetes-cardio-renal SpectrumEpidemiologyHeart FailureType-2 Diabetes

Identifiers

PMID35689214
PMCPMC9188046

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.