ReviewDer Pathologe2020
[Immunohistochemical and molecular pathological diagnosis of lung carcinoma].
Review in Der Pathologe, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed, 1 citations in OpenAlex.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The therapy of lung cancer has revolutionarily changed within the last 15 years. The prognosis of patients has dramatically improved due to targeted therapies, for instance tyrosine kinase inhibitors (TKI). Current recruiting studies are testing new MET-, KRAS-, ROS1-, RET- and NTRK-inhibitors. The first clinical data are promising, emphasizing that it remains a future challenge for pathologists and oncologists to keep an eye on all facets of therapy options. Today, precise lung cancer classification via immunohistochemistry and molecular pathology is crucial for the therapy and prognosis of patients. Further, new biopsy technologies lead to very small tumor tissue samples and cytological samples of high diagnostic quality. Therefore, the complexity of diagnosis needs a strategic procedure to minimize loss of tissue material. This assay gives an overview of efficient and target-orientated diagnostic procedures in consideration of current clinical trials.
Indexed as
Identifiers
What 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.