Evidence map›Paper›PMID 28753771›Full record

ArticleEuropean urology focus2017

Quantitative Image Analysis on Histologic Virtual Slides for Prostate Pathology Diagnosis, Response to Chemopreventive Agents, and Prognosis.

Rodolfo Montironi, Liang Cheng, Antonio Lopez-Beltran, Marina Scarpelli

Abstract readEditorialComment
PubMed Publisher
In one paragraph

Article in European urology focus, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.7field-weighted citation impact, top 8% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 3 countries.

Rodolfo MontironiSection of Pathological Anatomy, Polytechnic University of the Marche Region, School of Medicine, United Hospitals, Ancona, Italy. Electronic address: r.montironi@univpm.it.
Liang ChengDepartment of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, IN, USA.
Antonio Lopez-BeltranDepartment of Surgery, Cordoba University Medical School, Cordoba, Spain.
Marina ScarpelliSection of Pathological Anatomy, Polytechnic University of the Marche Region, School of Medicine, United Hospitals, Ancona, Italy.
Marche Polytechnic University · ITIndiana University School of MedicineUniversity of Córdoba · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A recent investigation follows and expands the field of previous studies on the malignancy-associated changes and, above all, adds the missing piece: the role of image analysis of normal-looking prostate epithelium in the prediction of prognosis. This requires combining and integrating our knowledge of uropathology with that of engineering and informatics.

Indexed as

Image Processing, Computer-AssistedProstateEpitheliumHumansMalePathologyPrognosisProstatic NeoplasmsTelepathologyUser-Computer Interface

Identifiers

PMID28753771
OpenAlexW2461739853

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.