ReviewDer Pathologe2012
[Renal cancer biomarkers. What is justified?].
Review in Der Pathologe, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Large (>3.8 cm) clear cell renal cell carcinomas are morphologically and immunohistochemically heterogeneous.Virchows Archiv : an international journal of pathology · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Renal carcinoma biomarkers are of potential interest for the diagnosis of renal tumor subtypes and prediction of prognosis or reponses to targeted therapies. Due to the identification of novel renal tumor subtypes, diagnostic immunohistochemical biomarkers are of increasing importance. However, there is currently not enough clinical evidence to recommend prognostic or predictive biomarkers in routine pathology. Therapeutic decisions are still based on correct tumor classification, tumor differentiation grade, and tumor stage. Recent studies have emphasized the relevance of detailed analysis of hilus fat tissue for a correct pT-category. This review summarizes recent developments in renal cancer biomarker research.
Indexed as
Identifiers
23052348What OpenQuestion holds
Registered trials
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.