Evidence map›Paper›PMID 23925976›Full record

ReviewDer Pathologe2013

[The new WHO classification and recent results in soft tissue tumor pathology].

I Petersen

Abstract readEnglish AbstractReview
PubMed Publisher
In one paragraph

Review in Der Pathologe, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

10 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. [Mesenchymal abdominal tumors].Der Radiologe · 2018
    Article
  7. Article
  8. Review
  9. Article
  10. 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

1 author at 1 institution in 2 countries.

I PetersenInstitut für Pathologie, Universitätsklinikum Jena, Ziegelmühlenweg 1, Jena, Germany. iver.petersen@med.uni-jena.de
Jena University Hospital · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The new World Health Organization (WHO) classification presents a comprehensive description of soft tissue tumors which was published in book format at the beginning of 2013. Changes have been made relating to the allocation of known entities, e.g. undifferentiated sarcomas are formed into a new group and are not longer assigned to the so-called fibrohistiocytic tumors and new subgroups were incorporated, such as nerve sheath tumors and gastrointestinal stroma tumors which were previously included in the tumor classification of other organ systems. This development is important from the practical point of view as most of relevant soft tissue tumors are now summarized and can be found in a single book. This is also related to the rapid increase in knowledge of the genetics and cell biology of soft tissue tumors. At present there is considerable progress in tumor pathology illustrated by the fact that important new findings have been published after completion of the classification, such as those related to the identification of the recurrent NAB2-STAT6 gene fusion in solitary fibrous tumors and the detection of frequent mutations in the promoter of the hTERT gene in malignant melanoma. In this report some new findings and clinically relevant aspects of soft tissue tumor pathology will be presented.

Indexed as

Biomarkers, TumorBiopsyCell Transformation, NeoplasticDiagnosis, DifferentialGastrointestinal Stromal TumorsGenetic MarkersHistiocytoma, Malignant FibrousHumansMelanomaMetaplasiaNerve Sheath NeoplasmsPredictive Value of TestsSarcomaSoft Tissue NeoplasmsSolitary Fibrous TumorsWorld Health OrganizationBiomarkers, TumorGenetic Markers

Identifiers

PMID23925976
OpenAlexW91803417

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.