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Record W2351329815

A comparative study on incidence trends of prostate cancer in part of counties in Guizhou.

2010· article· en· W2351329815 on OpenAlexaboutno aff
Huang GuiJun, Nan ZheiJun, Xin Quan

Bibliographic record

VenueXiandai yufang yixue · 2010
Typearticle
Languageen
FieldMedicine
TopicLiver Disease Diagnosis and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsProstate cancerIncidence (geometry)MedicineDemographyChinaCancerCancer incidenceProstateGynecologyGeographyInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

[Objective] To investigate the epidemic characteristics of prostate cancer in part of counties in Guizhou. [Methods] Registration data about prostate cancer from 1994 to 2008 were collected,and data were collected from Dujun,Weng’an,Fuquan,Guiding,Longli,Huishui,Changshun,Dushan,Sandu,Libo,Luodian and Pingtang,and data were classified into three time periods(1994-1998,1999-2003 and 2004-2008) . The morbidity and mortality were analyzed by software Joinpoint Regression Program 3.3.1. The annual percentage variation of morbidity was calculated analyzed by log trans-formation linear regression analysis. [Results] The morbidity of prostate cancer in south area of Guizhou province from 994-1998,1999-2003 and 2004-2008 were 1.72,2.98 and 4.28 per 100000,and the morbidity presented increased trend. While the morbidity showed to be a low level compared with that in American,Canada and some counties in Europe. [Conclusion] The incidence of prostate cancer in China showed a significant increased trend year by year,and prostate cancer might be one of major cancers in China,and we should pay attention to it.

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 score0.008
Threshold uncertainty score0.445

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 head0.029
GPT teacher head0.353
Teacher spread0.324 · 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
Published2010
Admission routes1
Has abstractyes

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