Evidence map›Paper›PMID 35701727›Full record

ArticleJournal of nephrology2022

"The Disease Awareness Innovation Network" for chronic kidney disease identification in general practice.

Francesco Pesce, Domenico Pasculli, Giuseppe Pasculli, Luca De Nicola, Mario Cozzolino, Antonio Granata, Loreto Gesualdo

Open access · hybridAbstract read
In one paragraph

Article in Journal of nephrology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 10% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Care Processes and Clinical Responses to Newly Detected Albuminuria: The Stockholm Creatinine Measurements (SCREAM) Project.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2026
    Article
  4. Article
  5. Article
  6. ABCDE to identify and prevent chronic kidney disease: a call to action.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. To predict the risk of chronic kidney disease (CKD) using Generalized Additive2 Models (GA2M).Journal of the American Medical Informatics Association : JAMIA · 2023
    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

7 authors at 5 institutions in 1 country.

Francesco PesceNephrology, Dialysis, and Transplantation Unit, Department of Emergency and Organ Transplantation, University of Bari Aldo Moro, Azienda Ospedaliero Universitaria Consorziale Policlinico di Bari, Piazza Giulio Cesare, 11, 70124, Bari, Italy. francesco.pesce@uniba.it.
Domenico PasculliASL BA-SIMG Societa' Italiana Medici di Medicina Generale e delle Cure Primarie, Florence, Italy.
Giuseppe PasculliNephrology, Dialysis, and Transplantation Unit, Department of Emergency and Organ Transplantation, University of Bari Aldo Moro, Azienda Ospedaliero Universitaria Consorziale Policlinico di Bari, Piazza Giulio Cesare, 11, 70124, Bari, Italy.
Luca De NicolaDivision of Nephrology, University of Campania "Luigi Vanvitelli", Naples, Italy.
Mario CozzolinoRenal Division and Laboratory of Experimental Nephrology, Department of Health Sciences, University of Milan, Milan, Italy.
Antonio GranataNephrology and Dialysis Unit, "Cannizzaro" Hospital, 95126, Catania, Italy.
Loreto GesualdoNephrology, Dialysis, and Transplantation Unit, Department of Emergency and Organ Transplantation, University of Bari Aldo Moro, Azienda Ospedaliero Universitaria Consorziale Policlinico di Bari, Piazza Giulio Cesare, 11, 70124, Bari, Italy. loreto.gesualdo@uniba.it.ORCID http://orcid.org/0000-0002-4861-0911
Azienda Universitaria Ospedaliera Consorziale - Policlinico Bari · ITOspedale Cannizzaro · ITSocietà Italiana di Medicina Generale · ITUniversity of Campania "Luigi Vanvitelli" · ITUniversity of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe "awareness gap" and the under-recognition of chronic kidney disease (CKD) by general practitioners (GPs) is well documented. We set a framework to evaluate the impact in primary care of targeted training and networking with nephrologists with regard to CKD awareness in terms of potential increase of the proportion of patients classified according to KDIGO in the general population and in patients with diabetes, hypertension and heart failure.

methodsData were extracted from the Millewin Digital Platform in use by the GPs (N = 17) at baseline (T0, N = 17,854) and after 6 months (T6, N = 18,662) of networking (education, instant messaging and selected joint visits) with nephrologists (N = 2). The following variables were extracted: age, sex, eGFR (estimated glomerular filtration rate), ACR (urinary albumin-to-creatinine ratio), presence of type 2 diabetes, hypertension and heart failure. The proportion of patients detected having an eGFR below 60 mL/min/1.73m

resultsWe observed an increase in the use of ACR and eGFR tests in the entire cohort (+ 121% and + 73%, respectively) and in patients with comorbidities. The proportion of patients with eGFR < 60 mL/min/1.73m

conclusionsTraining and network support to GPs by nephrologists can improve CKD awareness and increase its identification in the general population and, even more, in categories at risk.

Indexed as

Diabetes Mellitus, Type 2General PracticeHeart FailureHypertensionRenal Insufficiency, ChronicAlbuminsCreatinineGlomerular Filtration RateHumansAlbuminsCreatinineAwarenessChronic kidney diseaseEarly diagnosisPrimary care

Identifiers

PMID35701727
PMCPMC9584961
OpenAlexW4282923691

What Socratic 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 Socratic graph.