Evidence map›Paper›PMID 32527325›Full record

Observational studyBMC emergency medicine2020

The growing impact of older patients in the emergency department: a 5-year retrospective analysis in Brazil.

João Carlos Pereira Gomes, Roger Daglius Dias, Jacson Venancio de Barros, Irineu Tadeu Velasco, Wilson Jacob Filho

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC emergency medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

8 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Beyond Triage: Cognitive Profiles and ED-To-Inpatient Costs and Resource Pathways in Older Adults.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2026
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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

5 authors at 2 institutions in 2 countries.

João Carlos Pereira GomesEmergency Department, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Av Dr. Enéas Carvalho de Aguiar, 255, 5° andar, s.5023, São Paulo, SP, CEP: 05403-010, Brazil. joao.cpgomes@hc.fm.usp.br.ORCID 0000-0002-8118-095X
Roger Daglius DiasDepartment of Emergency Medicine, Harvard Medical School, Boston, MA, USA.
Jacson Venancio de BarrosDepartment of Information Technology, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP, Brazil.
Irineu Tadeu VelascoEmergency Department, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Av Dr. Enéas Carvalho de Aguiar, 255, 5° andar, s.5023, São Paulo, SP, CEP: 05403-010, Brazil.
Wilson Jacob FilhoFaculdade de Medicina da Universidade de São Paulo, São Paulo, SP, Brazil.
Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo · BRBrigham and Women's Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe average age of the global population is rising at an increasing rate. There is a disproportional increase in Emergency Department (ED) visits by older people worldwide. In the Brazilian health system, complex and severely ill patients and those requiring specialized urgent procedures are referred to tertiary level care. As far as we know, no other study in Latin America has analyzed the impact of demographic changes in tertiary ED attendance.

aimTo describe the sociodemographic characteristics and outcomes of tertiary Brazilian ED users.

methodsDesign: Observational cross-sectional analytic study.

settingEmergency Department, tertiary university hospital, São Paulo, Brazil.

participantspatients aged 18 years or older attending a tertiary ED (2009-2013). The primary outcomes were hospitalization and mortality; the secondary outcome was ICU admission. Age was categorized as 'young adults' (18-39y), 'adults' (40-59y), 'young-older adults' (60-79y), and 'old-older adults' (80-109y). Other variables included sex, reason for attendance, time of ED visit, mode of presentation, type of hospitalization, main procedure, length of hospital stay (LOS) and length of ICU stay (ICU-LOS). We calculated descriptive statistics, built generalized linear mixed models for each outcome and estimated Odds Ratios (95% CI) for the independent categorical variables. The significance level was 5% with Bonferroni correction.

resultsOlder age-groups represented 26.6% of 333,028 ED visits, 40.7% of admissions, 42.7% of ICU admissions and 58% of all deaths. Old-older patients accounted for 5.1% of ED visits, 9.5% of admissions and 10.1% of ICU admissions. Hospitalization, ICU admission and mortality rates increased with older age in both sexes. LOS and ICU-LOS were similar across age-groups. The proportions of visits and admissions attributed to young adults decreased annually, while those of people aged 60 or over increased. The ORs for hospitalization, ICU admission and mortality associated with the old-older group were 3.49 (95% CI = 3.15-3.87), 1.27 (1.15-1.39) and 5.93 (5.29-6.66) respectively, with young adults as the reference.

conclusionsIn tertiary ED, age is an important risk factor for hospitalization and mortality, but not for ICU admission. Old-older people are at the greatest risk and demand further subgroup stratification.

Indexed as

Hospital MortalityAdolescentAdultAgedAged, 80 and overAge FactorsBrazilCross-Sectional StudiesEmergency Service, HospitalFemaleHospitalizationHospitals, UniversityHumansMaleMiddle AgedRetrospective StudiesAged demographyEmergency departmentOlderOutcomeRoutinely collected data

Identifiers

PMID32527325
PMCPMC7291438
OpenAlexW3034727525

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.