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Record W2234400667

Current status of PSA screening. Early detection of prostate cancer.

2004· article· en· W2234400667 on OpenAlexaffabout
Tom Pickles

Bibliographic record

VenuePubMed · 2004
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Diagnosis and Treatment
Canadian institutionsBC Cancer Agency
Fundersnot available
KeywordsRandomized controlled trialMedicineLife expectancyProstate cancerProstate cancer screeningMEDLINEProstate-specific antigenEvidence-based medicineProstateGynecologyCancerOncologyIntensive care medicineAlternative medicineInternal medicinePathologyPopulationEnvironmental health
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To update current evidence for prostate-specific antigen (PSA) screening for prostate cancer and to give readers some practical information to discuss with patients. QUALITY OF EVIDENCE A MEDLINE: search revealed only three randomized studies, two of which are incomplete. Several controlled non-randomized studies were found. MAIN MESSAGE: Two ongoing studies have not yet reported survival data, but have added to evidence for screening intervals. One Canadian randomized study has been criticized for its design and conclusions. Non-randomized studies suggest that screening effectively identifies serious cancers and leads to earlier diagnosis. Mortality from prostate cancer has been falling in most western countries since 1992. This cannot be explained by PSA screening, which would probably not produce survival benefit until at least 10 years after its unofficial introduction in about 1990. CONCLUSION: Indirect evidence suggests that all men older than 45 with at least a 10-year life expectancy should be informed of the potential benefits and drawbacks of PSA screening so they can make an informed decision on whether to have the test.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.031
Threshold uncertainty score0.103

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.025
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0060.008
Science and technology studies0.0010.002
Scholarly communication0.0030.004
Open science0.0020.001
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0310.007

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 head0.028
GPT teacher head0.274
Teacher spread0.246 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations7
Published2004
Admission routes2
Has abstractyes

Explore more

Same venuePubMed→Same topicProstate Cancer Diagnosis and Treatment→French-language works237,207→