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Record W4248674102 · doi:10.5858/2008-0421-sor1.1

Breast Carcinoma in Uganda: Microscopic Study and Receptor Profile of 45 Cases

2011· article· en· W4248674102 on OpenAlexaffabout
Indrojit Roy, Emmanuel Othieno

Bibliographic record

VenueArchives of Pathology & Laboratory Medicine · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBreast Cancer Treatment Studies
Canadian institutionsSt Mary's Hospital Centre
Fundersnot available
KeywordsMedicineEstrogen receptorProgesterone receptorBreast cancerBreast carcinomaContext (archaeology)Ductal carcinomaEstrogenCarcinomaOncologyInternal medicinePathologyGynecologyCancerBiology

Abstract

fetched live from OpenAlex

Abstract Context. —Histologic and receptor data on breast carcinoma in Uganda are scarce. Estrogen receptor status is not routinely available. Breast cancer blocks from Uganda were studied in Montreal, Canada, and clinical correlations subsequently discussed in Kampala, Uganda. Objective. —To correlate histologic features (tumor type, histologic grade), receptor profile (estrogen receptor, progesterone receptor, and HER2/ neu ), and age in Ugandan women. Design. —Pathology reports for 2000–2004 from Nsambya Hospital, reporting invasive breast carcinoma, provided 45 microscopically confirmed cases. Results. —Seventy-three percent of patients were 50 years or younger. Histologic types were invasive ductal carcinoma (78%) and “good” prognosis types (11%). Overall 40% were grade 3, but 48% of invasive ductal carcinomas were grade 3. Estrogen receptor was positive in 60% overall and in 51% of invasive ductal carcinomas. HER2/ neu was overexpressed in 11%; 36% were “triple” negative (estrogen receptor, progesterone receptor, HER2/ neu negative). Conclusions. —Breast carcinoma in Ugandan women presents at a younger age and is histologically and by receptor profile more aggressive than carcinoma in Caucasian women.

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 score0.213
Threshold uncertainty score0.484

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 studies0.0000.001
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 head0.013
GPT teacher head0.256
Teacher spread0.243 · 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

Citations33
Published2011
Admission routes2
Has abstractyes

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