Evidence map›Paper›PMID 41589559›Full record

ArticleRevista da Escola de Enfermagem da U S P2026

Clinical validation of ICNP® Terminological Subset for people with chronic kidney disease undergoing hemodialysis.

Richardson Augusto Rosendo da Silva, Juliana Otaciana da Silva, Silvia Maria de Sá Basílio Lins, Harlon França de Menezes, Ana Beatriz Pereira da Silva, José Leonildo Fernandes de Queiroz, Rafaella Viesti Machado, Jéssica Fernanda Galon

Erratum issuedAbstract readValidation Study
In one paragraph

Article in Revista da Escola de Enfermagem da U S P, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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
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.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Richardson Augusto Rosendo da SilvaUniversidade Federal do Rio Grande do Norte, Programa de Pós-graduação em Enfermagem, Natal, RN, Brazil.ORCID 0000-0001-6290-9365
Juliana Otaciana da SilvaUniversidade Federal Fluminense, Programa de Pós-graduação Mestrado Profissional em Enfermagem Assistencial, Niterói, RJ, Brazil.ORCID 0000-0002-1926-4028
Silvia Maria de Sá Basílio LinsUniversidade Federal Fluminense, Programa de Pós-graduação Mestrado Profissional em Enfermagem Assistencial, Niterói, RJ, Brazil.ORCID 0000-0002-6717-9223
Harlon França de MenezesUniversidade Federal do Rio Grande do Norte, Programa de Pós-graduação em Enfermagem, Natal, RN, Brazil.ORCID 0000-0001-9884-6511
Ana Beatriz Pereira da SilvaUniversidade Federal do Rio Grande do Norte, Programa de Pós-graduação em Enfermagem, Natal, RN, Brazil.ORCID 0000-0001-8339-6482
José Leonildo Fernandes de QueirozUniversidade Federal do Rio Grande do Norte, Programa de Pós-graduação em Enfermagem, Natal, RN, Brazil.ORCID 0009-0000-0646-2669
Rafaella Viesti MachadoUniversidade Federal do Rio Grande do Norte, Departamento de Enfermagem, Natal, RN, Brazil.ORCID 0009-0008-9538-2449
Jéssica Fernanda GalonUniversidade Federal do Rio Grande do Norte, Programa de Pós-graduação em Enfermagem, Natal, RN, Brazil.ORCID 0009-0005-6148-0575

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo clinically validate the nursing diagnoses/outcomes and interventions statements of the CIPE® Subset for individuals with chronic kidney disease undergoing hemodialysis.

methodClinical validation study, with individuals aged 18 years or older, with chronic kidney disease, undergoing dialysis for at least three months. The research took place in three stages: Application of the Nursing Process to clinical practice, encompassing five essential steps - Nursing assessment, diagnosis, planning, implementation, and progress notes; Structuring of case studies; and Identification of the prevalence of ND/NO and NI listed from the case studies. Data were analyzed using latent class analysis.

resultsThe findings revealed three distinct latent classes: low (Class 1), medium (Class 2), and high (Class 3) risk. The indicators showed high sensitivity (72.0% to 91.0%) and specificity (83.0% to 92.0%) values, confirming the clinical validity of the subset and the consistency of the model for discriminating different profiles of patients undergoing hemodialysis.

conclusionThe study clinically validated a subset of 23 nursing diagnoses/outcomes and 169 interventions, demonstrating their applicability in care.

Indexed as

Nursing DiagnosisRenal DialysisRenal Insufficiency, ChronicStandardized Nursing TerminologyAdultAgedFemaleHumansMaleMiddle AgedSensitivity and Specificity

Identifiers

PMID41589559
PMCPMC12854694

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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.