Evidence map›Paper›PMID 41739672›Full record

ArticleRevista brasileira de enfermagem2026

Middle-range theory of the risk for ineffective glucose pattern self-management in hemodialysis.

Larissa de Lima Ferreira, Cláudio César Guimarães Martins, Lívia Hilário de Sousa Nunes, Annaiza Freitas Lopes de Araújo, Maria Isabel da Conceição Dias Fernandes, Ana Luisa Brandão de Carvalho Lira

Abstract read
In one paragraph

Article in Revista brasileira de enfermagem, 2026. 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
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

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

6 authors.

Larissa de Lima FerreiraUniversidade Federal do Rio Grande do Norte. Natal, Rio Grande do Norte, Brazil.ORCID http://orcid.org/0000-0003-2567-2236
Cláudio César Guimarães MartinsUniversidade Federal do Ceará. Fortaleza, Ceará, Brazil.ORCID http://orcid.org/0009-0003-2512-7120
Lívia Hilário de Sousa NunesUniversidade Federal do Ceará. Fortaleza, Ceará, Brazil.ORCID http://orcid.org/0009-0009-7305-4185
Annaiza Freitas Lopes de AraújoUniversidade Federal do Ceará. Fortaleza, Ceará, Brazil.ORCID http://orcid.org/0000-0001-8965-944X
Maria Isabel da Conceição Dias FernandesUniversidade Federal do Rio Grande do Norte. Natal, Rio Grande do Norte, Brazil.ORCID http://orcid.org/0000-0003-0569-5027
Ana Luisa Brandão de Carvalho LiraUniversidade Federal do Ceará. Fortaleza, Ceará, Brazil.ORCID http://orcid.org/0000-0002-7255-960X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesto develop a middle-range theory for the "Risk for ineffective glucose pattern self-management" nursing diagnosis in patients undergoing hemodialysis.

methodsthis is a methodological study to validate the nursing diagnosis, based on a middle-range theory, conducted in six stages: defining the approach, theoretical-conceptual models, and concepts, developing the pictogram, propositions, and causal relationships. The construction was operationalized through a scoping review and supported by Roy's model.

resultstwo essential attributes were identified, as well as 18 clinical antecedents, subdivided into seven risk factors, seven associated conditions, and four at-risk populations. A pictogram, six theoretical propositions, and causal relationships were identified in linear, domino, and qualitative leap effects.

conclusionsthe middle-range theory of the "Risk for ineffective glucose pattern self-management" nursing diagnosis in hemodialysis patients was developed, helping to better understand this phenomenon.

Identifiers

PMID41739672
PMCPMC12933934

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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.