Evidence map›Paper›PMID 29211187›Full record

ArticleRevista Brasileira de terapia intensiva

The Epimed Monitor ICU Database®: a cloud-based national registry for adult intensive care unit patients in Brazil.

Fernando Godinho Zampieri, Márcio Soares, Lunna Perdigão Borges, Jorge Ibrain Figueira Salluh, Otávio Tavares Ranzani

Open access · diamondAbstract read
In one paragraph

Article in Revista Brasileira de terapia intensiva. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed, 2 pooled it
7.1field-weighted citation impact, top 2% 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

69 citing papers in PubMed, 2 syntheses or guidelines pooled it, 141 citations in OpenAlex.

  1. Pooled it
  2. Understanding and Enhancing Sepsis Survivorship. Priorities for Research and Practice.American journal of respiratory and critical care medicine · 2019
    Pooled it
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9 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Fernando Godinho ZampieriInstituto de Pesquisa, HCor-Hospital do Coração - São Paulo (SP), Brasil.
Márcio SoaresInstituto D'Or de Pesquisa e Ensino - Rio de Janeiro (RJ), Brasil.
Lunna Perdigão BorgesEpimed Solutions - Rio de Janeiro (RJ), Brasil.
Jorge Ibrain Figueira SalluhInstituto D'Or de Pesquisa e Ensino - Rio de Janeiro (RJ), Brasil.
Otávio Tavares RanzaniUnidade de Terapia Intensiva, Departamento de Emergências Clínicas, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo - São Paulo (SP), Brasil.
Universidade do Estado do Rio de Janeiro · BRHospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo · BRHospital do Coração · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo describe the Epimed Monitor Database®, a Brazilian intensive care unit quality improvement database.

methodsWe described the Epimed Monitor® Database, including its structure and core data. We presented aggregated informative data from intensive care unit admissions from 2010 to 2016 using descriptive statistics. We also described the expansion and growth of the database along with the geographical distribution of participating units in Brazil.

resultsThe core data from the database includes demographic, administrative and physiological parameters, as well as specific report forms used to gather detailed data regarding the use of intensive care unit resources, infectious episodes, adverse events and checklists for adherence to best clinical practices. As of the end of 2016, 598 adult intensive care units in 318 hospitals totaling 8,160 intensive care unit beds were participating in the database. Most units were located at private hospitals in the southeastern region of the country. The number of yearly admissions rose during this period and included a predominance of medical admissions. The proportion of admissions due to cardiovascular disease declined, while admissions due to sepsis or infections became more common. Illness severity (Simplified Acute Physiology Score - SAPS 3 - 62 points), patient age (mean = 62 years) and hospital mortality (approximately 17%) remained reasonably stable during this time period.

conclusionA large private database of critically ill patients is feasible and may provide relevant nationwide epidemiological data for quality improvement and benchmarking purposes among the participating intensive care units. This database is useful not only for administrative reasons but also for the improvement of daily care by facilitating the adoption of best practices and use for clinical research.

Indexed as

Databases, FactualQuality ImprovementAdultAgedAged, 80 and overBenchmarkingBrazilCritical CareCritical IllnessFemaleGuideline AdherenceHospital MortalityHumansIntensive Care UnitsMaleMiddle Aged

Identifiers

PMID29211187
PMCPMC5764553
OpenAlexW2782672802

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.