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New Data on How Age-Adjusted PSA Velocity Can Improve Prostate Cancer Detection in Different Settings

2006· article· en· W2316632075 on OpenAlexaboutno aff
Charlene Laino

Bibliographic record

VenueOncology Times · 2006
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Diagnosis and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsProstate cancerMedicineProstate-specific antigenCancerProstate biopsyProstateUrologyBiopsyInternal medicineGynecologyOncology

Abstract

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SAN FRANCISCO—The use of age-adjusted PSA velocity values can improve the sensitivity of prostate cancer detection among younger men, a new study shows. And a second study suggests that PSA velocity values in the two years following diagnosis can help predict which men with prostate cancer are most likely to develop aggressive disease. However, these indicators are still not sensitive or specific enough to help oncologists identify which patients require treatment, the researchers reported here at the Prostate Cancer Symposium. The meeting is cosponsored by ASCO, ASTRO, the Prostate Cancer Foundation, and the Society of Urologic Oncology Currently, men with a rise in PSA velocity of 0.75 ng/mL/year or more are typically referred for biopsy. But a team led by Judd W. Moul, MD, hypothesized that lower prostate-specific-antigen velocity values could boost the sensitivity of prostate cancer detection among younger men. “In the past few years, 60 or younger has become the peak age for prostate cancer diagnosis,” said Dr. Moul, Chief of Urologic Surgery at Duke University Medical Center. “Using age-adjusted PSA velocity makes it much more likely that we will detect cancers in men of this age.”Figure: Judd Moul, MD: “Using age-adjusted PSA velocity makes it much more likely that we will detect cancers in men under 60.”11,347 Men The researchers correlated age-normalized PSA velocity values with biopsy status in 11,347 men who underwent PSA testing between January 1988 and February 2005. A total of 145,593 PSA values were assessed. The study showed that for men aged 40 to 59 years, a PSA velocity above 0.25 ng/mL/year can improve sensitivity with reasonable specificity. For men aged 60 to 70, a PSA velocity of 0.50 ng/mL/year is a reasonable cutoff, Dr. Moul reported. The conventional threshold of 0.75 ng/mL/year is an accurate predictor for men at or above age 70, he said. The age-adjusted thresholds identified prostate cancer in an additional 37 men aged 40 to 59 and an additional 18 men aged 60 to 69, compared with using the traditional 0.75 ng/mL/year threshold. The new PSA velocity cutoffs for men 40 to 59 and 60 to 69 had sensitivity values of 52% and 40%, respectively, compared with 26.5% and 31% for the traditional cutoffs. Specificities were only slightly diminished, from 94% to 84% in the younger men and from 91% to 77% in those aged 60 to 70. The researchers used receiver operating curves, a graphical representation of the tradeoff between the false-negative and false-positive rates for every possible cutoff, to arrive at the age-adjusted values. There were limitations to the study, Dr. Moul noted. All the PSA values came from urology patients rather than the general public. In addition, the study did not adjust for abnormal digital rectal exams, because it identified only 4.7% of prostate cancers in the study. The moderator of an ASCO news conference that highlighted the study, Laurence Klotz, MD, Professor of Surgery at the University of Toronto, called the findings encouraging. “We need a better way to determine who should be biopsied and this is one way to refine it,” he said. “But before the new thresholds are put into practice, the concept needs validation.” Prediction of Aggressiveness The second study, conducted by the Scandinavian Prostate Cancer Group Trial-4, found that PSA change during the first two years of follow-up can help to predict the development of advanced prostate cancer. But the use of this variable as a decision tool for clinical intervention appears limited because of its low sensitivity and specificity in predicting outcomes, the researchers concluded.Figure: Laurence Klotz, MD: “The research supports the idea that PSA kinetics may be a way to identify individuals who have aggressive disease.”Led by Katja Fall, MD, PhD, of the Department of Medical Epidemiology and Biostatistics at the Karolinska Institute in Stockholm, the researchers assessed serial PSA measurements in a cohort of 297 men who were diagnosed with localized, Stage T1b, T1c, or T2 prostate cancer and who were randomized to watchful waiting. The patients were followed for a mean of 7.8 years, during which time 21% developed metastases and 12% died of their disease. During the first two years of follow-up, the risk of aggressive disease increased by 5% for each 2 ng/ml/year increase in initial PSA. Overall, 21% of men with fast-rising PSA developed metastatic disease or died within six years of diagnosis, compared with 8% of men with slow-rising PSA. However, there was no specific cutoff point for PSA velocity above which high sensitivity in predicting outcomes was combined with high specificity. Dr. Klotz said that like Dr. Moul's study, “the Scandinavian research supports the idea that PSA kinetics may be a way to identify individuals who have aggressive disease.” That said, other studies do not support the use of PSA kinetics in prostate cancer detection, he added. “We still need more sophisticated ways of looking at 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 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)0.005
metaresearch head score (Gemma)0.029
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.082
Threshold uncertainty score0.162

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.029
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.002

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 head0.023
GPT teacher head0.298
Teacher spread0.275 · 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 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".

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Citations1
Published2006
Admission routes1
Has abstractyes

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