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HOW YOUNG PEOPLE COPE WITH CHRONIC KIDNEY DISEASE: LITERATURE REVIEW

2012· review· en· W1503464851 on OpenAlexfundno aff
Shahid Muhammad, Helen Noble, Pauline Banks, Amanda Carson, Colin R. Martin

Bibliographic record

VenueJournal of Renal Care · 2012
Typereview
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsnot available
FundersMcMaster University
KeywordsCoping (psychology)MedicineFeelingKidney diseaseLearned helplessnessPopulationPerceptionDiseaseChecklistGerontologyClinical psychologyPsychologySocial psychologyPathologyInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Chronic kidney disease (CKD) is a complex, long-term condition occurring in all age groups. It has been reported that the incidence of renal replacement therapy in young people is 7-8 per million population. Notwithstanding those individuals who may receive a donor kidney, many individuals may be disenfranchised by perceptions of helplessness and feelings of powerlessness against a backdrop of diminished health outlook, consequently impacting on capacity for effective coping. AIM: The aim of this review is to explore how young people cope with CKD. METHODS: Three hundred and thirty-seven abstracts were identified. Sixty-three papers were cross-examined using a Critical Appraisal Skills Checklist Tool. RESULTS: Young people face various demands; these may be episodic or ongoing, depending on health and circumstance. The themes this review uncovers are: 'Lack of a Coping Definition'; 'Coping Strategies in Young People'; and 'Barriers to the Understanding of Coping in Young People'. CONCLUSION: More qualitative research is vital to retrieve 'real-life' perceptions from young people coping with kidney disease to identify how care should be made more explicit for them.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.543
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.291
Teacher spread0.276 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations8
Published2012
Admission routes1
Has abstractyes

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