Evidence map›Paper›PMID 40894859›Full record

ArticleMayo Clinic proceedings. Digital health2025

iCardio: The Brazilian Population-Based Real-World Data Platform for Cardiovascular Disease.

Miriam Allein Zago Marcolino, Ana Paula Beck da Silva Etges, Luciana Rodrigues de Lara, Nayê Balzan Schneider, Yohan Casiraghi, Wanderson Maia Da Silva, Carisi Anne Polanczyk

Abstract read
In one paragraph

Article in Mayo Clinic proceedings. Digital health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

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

2 citing papers in PubMed.

  1. Article
  2. 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.

Miriam Allein Zago MarcolinoNational Institute of Science and Technology for Health Technology Assessment (IATS)-CNPq/Brazil (project: 465518/2014-1), Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.
Ana Paula Beck da Silva EtgesNational Institute of Science and Technology for Health Technology Assessment (IATS)-CNPq/Brazil (project: 465518/2014-1), Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.
Luciana Rodrigues de LaraNational Institute of Science and Technology for Health Technology Assessment (IATS)-CNPq/Brazil (project: 465518/2014-1), Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.
Nayê Balzan SchneiderNational Institute of Science and Technology for Health Technology Assessment (IATS)-CNPq/Brazil (project: 465518/2014-1), Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.
Yohan CasiraghiNational Institute of Science and Technology for Health Technology Assessment (IATS)-CNPq/Brazil (project: 465518/2014-1), Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.
Wanderson Maia Da SilvaMedical School, Universidade Federal do Rio Grande do Sul, Brazil.
Carisi Anne PolanczykNational Institute of Science and Technology for Health Technology Assessment (IATS)-CNPq/Brazil (project: 465518/2014-1), Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Technological advances that contribute to improving organizations and systems' capability to manage care services and pathways are impactful in improving efficiency and reducing waste in health care. This narrative paper presents the implementation of iCardio, a dashboard of population real-world data-based analytical online open-access solution for the cardiovascular field in Brazil. The platform was developed using hospitalization data from patients who underwent cardiovascular operation or interventional procedures, identified by procedure codes reimbursed by the public health system. Patient-level data from hospital and mortality systems were provided by the Brazilian Ministry of Health, cleaned, and organized into individual-level and hospitalization-level datasets to enable parameter calculation. A web-based solution was developed to provide user-friendly, interactive access to 17 indicators relevant to evaluating cardiovascular service efficiency, quality, and equity. Data from 291,490 patients with 317,338 index hospitalizations and 375,809 procedures (172,874 of cardiovascular operations and 202,935 of interventional cardiology) performed in 558 health care centers in Brazil compose the dataset behind the platform. The platform offers 4 analytical views: "patients,' profile,'' "by location,'' "procedure rates,'' and "detailed exploration,'' displaying data by year (2019-2020) with multiple stratification options (eg, patient characteristics, procedures, health care centers, and geography). The iCardio is an online open-access platform based on real-world data that provides ready-to-use information about cardiovascular care in Brazil, which can be used as a transformative tool to sustain data-driven health policies and research in the cardiovascular field in Brazil.

Identifiers

PMID40894859
PMCPMC12396013

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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.