Evidence map›Paper›PMID 35352767›Full record

ArticleEinstein (Sao Paulo, Brazil)2022

Epidemiological characteristics and adherence of a cohort of elderly people with HIV/AIDS in the Public Health System.

Cristiane Marcos Soares Dias Ferreira, Isabel Cristina Gonçalves Leite

Open access · diamondAbstract read
In one paragraph

Article in Einstein (Sao Paulo, Brazil), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 45% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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

2 authors at 1 institution in 1 country.

Cristiane Marcos Soares Dias FerreiraUniversidade Federal de Juiz de Fora, Juiz de Fora, MG, Brazil.ORCID http://orcid.org/0000-0002-5466-9848
Isabel Cristina Gonçalves LeiteUniversidade Federal de Juiz de Fora, Juiz de Fora, MG, Brazil.ORCID http://orcid.org/0000-0003-1258-7331
Universidade Federal de Juiz de Fora · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo characterize the epidemiological profile of patients aged 50 years or older diagnosed as HIV/AIDS, in a Specialized Service of the Public Health System.

methodsA retrospective cohort study using secondary data from medical records in the period 2014 to 2018. Sociodemographic and clinical characteristics, and features related to treatment adherence were organized in a database. Quantitative variables were expressed as mean (or median) ± standard deviation (or interquartile range), and categorical variables expressed as number and percentage of patients. The Kaplan-Meier method was applied to assess the probability of overall specific survival.

resultsOf the 241 initially eligible patients, 149 patients were evaluated, registering 19 deaths in the studied period. There was a predominance of males aged 50-59 years, with severe immunodeficiency upon admission (29.7%), and with a CD4+ T lymphocyte count below 200 cells in 62 (46.3%) of patients. Elderly people aged 61 or over were more adherent. There was an increase in the CD4+ T lymphocyte count by an average of 139.63 in the first 6 months, and 50.51 from the first 6 months to 12 months of follow-up, with an average increase in the first 12 months of 157.63 cells. Specific overall survival in the period was 85%.

conclusionPatients older than 50 years had an immune response and no viral load detection in the 12-month period, deserving further studies to improve survival.

Indexed as

Acquired Immunodeficiency SyndromePublic HealthAgedCD4 Lymphocyte CountCohort StudiesHumansMaleMiddle AgedRetrospective Studies

Identifiers

PMID35352767
PMCPMC8932733
OpenAlexW4226151841

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.