Evidence map›Paper›PMID 18568350›Full record

ReviewWorld journal of urology2008

What is low-risk prostate cancer and what is its natural history?

Helen O'Donnell, Chris Parker

Abstract readReview
PubMed Publisher
In one paragraph

Review in World journal of urology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. The relation of serum parathyroid hormone and serum calcium to serum levels of prostate-specific antigen: a population-based study.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2009
    Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Helen O'DonnellInstitute of Cancer Research, Downs Road, Sutton, Surrey, SM2 5PT, UK.
Chris Parker

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article reviews the definition, incidence, pathological characteristics and natural history of low risk localised prostate cancer. Low risk disease is typically defined as clinical stage T1/T2a, biopsy Gleason score </=6, PSA < 10. This risk classification has provided a useful system for reporting of outcomes and for the production of clinical guidelines. However, the low-risk disease is a broad category with a range of pathological characteristics and clinical behaviour. Many, but not all, low-risk prostate cancers are clinically insignificant, destined never to cause any harm. The challenge of managing low risk localized prostate cancer is to distinguish patients with clinically relevant cancers, who may benefit from radical treatment, from the remainder who do not need any intervention. The natural history of untreated low-risk localised prostate cancer has not been well studied, partly because it is a relatively recent entity, and partly because it has been standard practice for men with low risk disease to receive treatment. Data from watchful waiting in the pre-PSA era, modelling studies to take account of the lead time and overdiagnosis associated with PSA testing, and the early results of active surveillance can all provide insights into the likely natural history of low risk disease. There remains a major unmet need for markers of individual prostate cancer behaviour within the low-risk category. Such markers could be used to distinguish those men with truly indolent disease, suitable for observation, from those with significant prostate cancer that stand to benefit from treatment.

Indexed as

HumansMaleProstatic NeoplasmsRisk Factors

Identifiers

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.