Evidence map›Paper›PMID 24967355›Full record

ReviewBioMed research international2014

Multiparametric MRI for recurrent prostate cancer post radical prostatectomy and postradiation therapy.

Flavio Barchetti, Valeria Panebianco

Abstract readReview
In one paragraph

Review in BioMed research international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. MR-Guided Radiotherapy for Prostate Cancer.Frontiers in oncology · 2020
    Review
  13. Review
  14. Review
  15. Article
  16. Review
  17. Article
  18. La Radiologia medica · 2018
    Review
  19. Comparison of time curves from dynamicPhysics and imaging in radiation oncology · 2018
    Article
  20. Prostate MR Imaging for Posttreatment Evaluation and Recurrence.Radiologic clinics of North America · 2018
    Review
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.

Flavio BarchettiDepartment of Radiological Sciences, Oncology and Pathology, Sapienza University of Rome, 00186 Rome, Italy.ORCID 0000-0001-6291-7904
Valeria PanebiancoDepartment of Radiological Sciences, Oncology and Pathology, Sapienza University of Rome, 00186 Rome, Italy.ORCID 0000-0001-8466-918X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The clinical suspicion of local recurrence of prostate cancer (PCa) after radical prostatectomy (RP) and after radiation therapy (RT) is based on the onset of biochemical failure. The aim of this paper was to review the current role of multiparametric-MRI (mp-MRI) in the detection of locoregional recurrence. A systematic literature search using the Medline and Cochrane Library databases was performed from January 1995 up to November 2013. Bibliographies of retrieved and review articles were also examined. Only those articles reporting complete data with clinical relevance for the present review were selected. This review article is divided into two major parts: the first one considers the role of mp-MRI in the detection of PCa local recurrence after RP; the second part provides an insight about the impact of mp-MRI in the depiction of locoregional recurrence after RT (interstitial or external beam). Published data indicate an emerging role for mp-MRI in the detection and localization of locally recurrent PCa both after RP and RT which represents an information of paramount importance to perform focal salvage treatments.

Indexed as

Magnetic Resonance ImagingProstatectomyProstatic NeoplasmsHumansMaleMEDLINENeoplasm Recurrence, LocalRadiography

Identifiers

PMID24967355
PMCPMC4055489

What OpenQuestion holds

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Registered trials

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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.