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Biological and Pathological Study of Prostate Cancer at Localized Stage in Western Algeria

2013· article· en· W1981224406 on OpenAlexvenueno aff
Abdelkrim Berroukche, Malika Bendahmane-Salmi

Bibliographic record

VenueJournal of Analytical Oncology · 2013
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Diagnosis and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsPathologicalMedicineStage (stratigraphy)Prostate cancerProstate-specific antigenProstateCancerOncologyInternal medicineProstate adenocarcinomaUrologyTumor stageBiology

Abstract

fetched live from OpenAlex

Objective:Toshow the contribution of the pathological examination, associated with prostatic specific antigen (PSA), in the early detection of prostate cancer in Western Algeria. Methodology:This study focused on 160 cases, old between 50-80 years, with histologically confirmed prostate adenocarcinoma and carried out in urology hospitals in western Algeria during the period from 2007 to 2011. Tumor stage, PSA, Gleason score and the degree of tumor differentiation were analyzed. Results:135 patients, with a poor prognosis and a Gleason score > 8 index of incurable malignant aggression, have not been the subject of this study. But the other 35 patients were candidates because they had a favorable prognosis with a localized stage that could be curable. Gleason score was between 5-6 in 5 patients with TPSA 10 ng / ml at differential stage, score of 7 in 10 patients with TPSA between 10-20 ng / ml atmoderately differentiated stage and finally a score of 8 in 20 patients with TPSA between 20,1-50 ng / ml at apoorly differentiated stage. Conclusion:There is a strong correlation between TPSA, Gleason score and the degree of tumor differentiation. Biological and pathological prognosis, established early, can reduce tumor progression.

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 score0.020
Threshold uncertainty score0.757

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.051
GPT teacher head0.374
Teacher spread0.323 · 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
Published2013
Admission routes1
Has abstractyes

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