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Record W4414889391

"Life without an Anus": Experience of Cancer Patients Living with Colostomy in South West Nigeria.

2025· article· en· W4414889391 on OpenAlexaff
Funmilola Wuraola, Adewale Aderounmu, John Jackman, Betel Yibrehu, Olalekan Olasehinde, Mary Ogunyemi, Adewale Adisa, T. Peter Kingham, I O Alatise

Bibliographic record

VenuePubMed · 2025
Typearticle
Languageen
FieldMedicine
TopicStoma care and complications
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCancerColostomyFace (sociological concept)MEDLINE
DOInot available

Abstract

fetched live from OpenAlex

INTRODUCTION: As the incidence of colorectal cancer increases in Nigeria, more patients will get colostomies. Previous studies of patients with colostomies in other African countries have reported significant decreases in quality of life. Understanding the experiences of Nigerian patients is crucial for designing interventions that ensure patients can maintain a high quality of life after colostomy. This study aims to explore the impact of colostomy on the quality of life of Nigerian patients. METHODS: Between August and December 2022, 16 in-depth interviews were conducted with patients who had undergone a colostomy for at least six months. Patients were identified through an institutional database of colorectal cancer patients at Obafemi Awolowo University Teaching Hospital in Southwest Nigeria. RESULTS: Patients overwhelmingly reported life-altering challenges related to their colostomy. Some of the most commonly reported challenges included social isolation, financial constraints, sexual dissatisfaction, and altered self-image. Patients also reported that they did not understand until after surgery what it would be like to live with a colostomy. CONCLUSION: As the number of cancer patients with colostomies increases in Nigeria, it is important to address the social and financial barriers that patients face after having a colostomy.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.263

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.019
GPT teacher head0.279
Teacher spread0.260 · 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
Published2025
Admission routes1
Has abstractyes

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