ReviewMolecular diagnosis & therapy2018
Neuroendocrine Pulmonary Tumors of Low, Intermediate and High Grade: Anatomopathological Diagnosis-Prognostic and Predictive Factors.
Review in Molecular diagnosis & therapy, 2018. 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.
- A Systematic Review on Combined [Journal of clinical medicine · 2023Review
- SOX11 is a sensitive and specific marker for pulmonary high-grade neuroendocrine tumors.Diagnostic pathology · 2022Article
- Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Neuroendocrine tumors (NETs) belong to a heterogeneous family of rare tumors with very broad and complex clinical behavior. Due to their heterogeneity, the lack of specific symptoms and the absence of sensitive methods for early detection, patients are usually diagnosed when the disease is in an advanced state for which curative treatments are scarce. In most cases, these few treatments try to prolong the survival of patients, maintaining the quality of life. The identification of biomarkers could help to improve early diagnosis and to choose the most suitable therapeutic strategy. This paper provides a review of the current histopathological diagnostic approaches for lung NET subtypes, including the predictive and prognostic factors, to help in the early diagnosis of this disease.
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Registered trials
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