Evidence map›Paper›PMID 10364958›Full record

ArticleAnnals of the Royal College of Surgeons of England1999

Does screening for prostate cancer identify clinically important disease?

M R Feneley

Open access · greenAbstract read
In one paragraph

Article in Annals of the Royal College of Surgeons of England, 1999. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 78% of its field
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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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

1 author at 1 institution in 1 country.

M R FeneleyBrady Urological Institute, Johns Hopkins Hospital, Baltimore, USA.
Johns Hopkins Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study the combination of digital rectal examination (DRE) and serum prostate-specific antigen (PSA) is shown to be effective for detecting early prostate cancer in a urological out-patient setting. PSA provides the means to detect cancer in men with normal DRE that may otherwise present as so-called incidental cancer at transurethral resection of the prostate (TURP) for apparently benign disease or later in the course of its natural history as locally advanced or metastatic disease. PSA progression in men with incidental cancer has been previously demonstrated to be predicted more reliably by residual cancer on needle biopsy after TURP than by tumour in the resected specimen and, therefore re-staging such patients is worthwhile when further treatment would be considered. Among men selected for radical prostatectomy, non-palpable tumours detected with PSA more predictable in pathological extent than incidental cancer and their particular pathological characteristics suggest they include clinically significant tumours that would progress if untreated to palpable and eventually metastatic disease. In view of this progressive behaviour, cancer detected by PSA should be considered clinically significant particularly in men with a life expectancy of at least 10 years. Therefore screening should be offered for such individuals, to detect and treat tumours at a curable stage and thereby eliminate the high mortality and often protracted morbidity commonly associated with metastatic disease.

Indexed as

Mass ScreeningAdultAgedAged, 80 and overBiopsy, NeedleEnglandHumansIncidenceMaleMiddle AgedPatient SelectionPhysical ExaminationPredictive Value of TestsProspective StudiesProstateProstatectomyProstate-Specific Antigen

Identifiers

PMID10364958
PMCPMC2503180
OpenAlexW2258628381

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.