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Record W4404331906 · doi:10.1093/ckj/sfae341

Patient-reported outcome measures for life participation in patients with chronic kidney disease: a systematic review

2024· review· en· W4404331906 on OpenAlexaff
Anastasia Hughes, Angela Ju, Rosanna Cazzolli, Martin Howell, Fergus Caskey, Meghan J. Elliott, Janine Farragher, Sharlene A. Greenwood, Adeera Levin, Karine Manera, Amanda Sluiter, Armando Teixeira‐Pinto, Hernán Trimarchi, Bill Wang, Chandana Guha, Rebecca Wu, Allison Jauré

Bibliographic record

VenueClinical Kidney Journal · 2024
Typereview
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsUniversity of British ColumbiaUniversity of TorontoUniversity of Calgary
FundersNational Health and Medical Research CouncilMedical Research Council
KeywordsMedicineKidney diseaseDiseaseIntensive care medicinePatient-reported outcomeOutcome (game theory)Systematic reviewMEDLINEQuality of life (healthcare)Internal medicineBiologyNursing

Abstract

fetched live from OpenAlex

Background: The symptoms, comorbidities and treatment burden associated with chronic kidney disease (CKD) can be debilitating and limit life participation in patients with CKD not requiring kidney replacement therapy (KRT). The aim of this study was to identify the characteristics, content and psychometric properties of patient-reported outcome measures (PROMs) used to assess life participation in patients with CKD. Methods: We searched MEDLINE, Embase, PsycINFO and CINAHL from database inception to February 2023 for all studies that reported life participation in patients with CKD (stages 1-5 not requiring kidney replacement therapy). We analysed the characteristics, dimensions of life participation and psychometric properties of the measures. Results: From the 114 studies included, 20 (18%) were randomized trials, 3 (3%) were non-randomized trials and 91 (80%) were observational studies. Forty-one different measures were used to assess life participation, of which six (15%) were author-developed measures. Twelve (29%) measures assessed life participation specifically, while 29 (71%) measures assessed broader constructs such as quality of life, which included questions relevant to life participation. The 36-Item Short Form Health Survey (SF-36) and Kidney Disease Quality of Life Short Form (KDQOL-SF) were the most frequently used, in 39 (34%) and 24 (21%) studies, respectively. Many content domains for life participation were assessed, including physical activities (walking, running and sports), social activities, leisure activities, work or study and self-care. None of the measures for life participation were developed specifically for CKD. Four measures (EuroQol 5-dimension 3-level (EQ-5D-3L), Functional Assessment of Cancer Therapy - Anemia, Short Form 6-dimension and Short-From 36-dimension (SF-36)) had validation data collected in patients with CKD. Conclusion: The measures for life participation used in patients with CKD vary in content, with few validated in the CKD population. There is a need for a validated measure to assess life participation in a meaningful and consistent way in all patients with CKD worldwide.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.013
metaresearch head score (Gemma)0.067
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.013
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.067
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0070.008
Bibliometrics0.0070.009
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.113
GPT teacher head0.433
Teacher spread0.320 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations4
Published2024
Admission routes1
Has abstractyes

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