Evidence map›Paper›PMID 36197431›Full record

ArticleRevista brasileira de enfermagem2022

Prognosis of patients with heart disease with acute kidney injury undergoing dialysis treatment.

Daniela Ferreira, Maria Aparecida Batistão Gonçalves, Dayana Souza Fram, João Luiz Grandi, Dulce Aparecida Barbosa

Open access · goldAbstract read
In one paragraph

Article in Revista brasileira de enfermagem, 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
–field-weighted citation impact, top 83% 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, 0 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

5 authors at 2 institutions in 1 country.

Daniela FerreiraUniversidade Federal de São Paulo. São Paulo, São Paulo, Brazil.ORCID http://orcid.org/0000-0002-4136-835X
Maria Aparecida Batistão GonçalvesInstituto do Coração. São Paulo, São Paulo, Brazil.ORCID http://orcid.org/0000-0002-1517-0892
Dayana Souza FramUniversidade Federal de São Paulo. São Paulo, São Paulo, Brazil.ORCID http://orcid.org/0000-0001-6366-2325
João Luiz GrandiUniversidade Federal de São Paulo. São Paulo, São Paulo, Brazil.ORCID http://orcid.org/0000-0002-6522-7754
Dulce Aparecida BarbosaUniversidade Federal de São Paulo. São Paulo, São Paulo, Brazil.ORCID http://orcid.org/0000-0002-9912-4446
Universidade Federal de São Paulo · BRHospital do Coração · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesto verify the relationship of cardiovascular diseases with acute kidney injury and assess the prognosis of patients in renal replacement therapy.

methodsa cohort study, carried out in a public hospital specialized in cardiology. Treatment, comorbidities, duration of treatment, laboratory tests, discharge and deaths were analyzed.

resultsof the 101 patients, 75 (74.3%) received non-dialysis treatment. The most frequent cardiological diagnoses were hypertension, cardiomyopathies and coronary syndrome. Hospitalization in patients undergoing dialysis was 18 days, hemoglobin <10.5g/dl and anuria in the first days of hospitalization contributed to the type of treatment. Each increase in hemoglobin units from the first day of hospitalization decreases the chance of dialysis by 19.2%. There was no difference in mortality.

conclusionsthe main cardiological diseases were not predictive of dialysis indication, and clinical treatment was the most frequent. Anuria and anemia were predictors for dialysis treatment.

Indexed as

Acute Kidney InjuryAnuriaHeart DiseasesCohort StudiesHemoglobinsHumansPrognosisRenal DialysisHemoglobins

Identifiers

PMID36197431
PMCPMC9728817
OpenAlexW4302276480

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.