ReviewDer Pathologe2015
[Molecular diagnostics of non-small cell lung cancer: New markers and technologies].
Review in Der Pathologe, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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
4 citing papers in PubMed.
- lncRNA-disease association prediction based on latent factor model and projection.Scientific reports · 2021Article
- [Pathology of lung cancer].Der Radiologe · 2016Review
- Individualized medicine and demographic change as determining workload factors in pathology: quo vadis?Virchows Archiv : an international journal of pathology · 2016Article
- [Diagnosis, prognosis, and prediction of non-small cell lung cancer. Importance of morphology, immunohistochemistry and molecular pathology].Der Pathologe · 2015Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lung cancer is the prototypical tumor entity for the development of new diagnostic and individualized therapeutic strategies based on molecular patient stratification. Developments in this field specifically concentrate on predictive biomarkers for the response to conventional therapeutic agents, novel drugs targeting specific mutations and also new immunomodulatory drugs. The multitude of upcoming new predictive biomarkers requires the development and implementation of efficient test strategies and comprehensive technical methods, specifically when tissue restrictions inherent to lung cancer diagnostics are also taken into account. Novel procedures and technical aspects of these issues are discussed in this review.
Indexed as
Identifiers
25820445What 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.