MétaCan
Menu
Back to cohort
Record W4390706526 · doi:10.12968/bjon.2024.33.1.8

Quality of life among older patients receiving faecal microbiota transplant for <i>Clostridioides difficile</i> infection

2024· article· en· W4390706526 on OpenAlexaff
Frederik Hyllested Birn, Signe Rigmor Wester, Sara Ellegaard Andreasen, Christian Lodberg Hvas, Palle Bager

Bibliographic record

VenueBritish Journal of Nursing · 2024
Typearticle
Languageen
FieldMedicine
TopicClostridium difficile and Clostridium perfringens research
Canadian institutionsCollege & Association of Registered Nurses of Alberta
FundersNovo Nordisk Fonden
KeywordsClostridioidesMedicineFecal bacteriotherapyInternal medicineQuality of life (healthcare)Clostridium difficileMicrobiologyBiologyNursingAntibiotics

Abstract

fetched live from OpenAlex

BACKGROUND: Faecal microbiota transplantation (FMT) has mainly been studied in quantitative research to investigate effect rates. However, there is a lack of qualitative studies to explore patient perspectives. AIM: infection (CDI) at least 1 week after receiving FMT. METHOD: A qualitative study examining quality of life for patients treated with FMT. FINDINGS: Patients with a permanent or transient treatment effect experienced an increase in quality of life in the physical, psychological and social domains. However, patients who did not respond to the treatment experienced negative impacts on their psychological, physical, and social domains. Although patients found the content unappealing, none had reservations about receiving the treatment. CONCLUSION: This study highlights the importance of considering the psychological, social and physical wellbeing of patients when assessing the efficacy of FMT as a treatment option for patients with CDI. It further emphasises the importance of health professionals identifying patients' individual ways of handling the disease and everyday life to improve their quality of life.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.705
Threshold uncertainty score0.796

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
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 head0.035
GPT teacher head0.332
Teacher spread0.297 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueBritish Journal of NursingSame topicClostridium difficile and Clostridium perfringens researchFrench-language works237,207