ReviewZhongguo fei ai za zhi = Chinese journal of lung cancer2017
[Application of Bevacizumab in Non-small Cell Lung Cancer].
Review in Zhongguo fei ai za zhi = Chinese journal of lung cancer, 2017. 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.
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
At present, non-small cell lung cancer is one of the highest incidence of cancers in the world, and its incidence increased year by year, this situation prompted people to continue to seek a variety of treatment in order to extend the survival of patients and improve the quality of life of patients. This review aims to discuss the progress of bevacizumab in the treatment of non-small cell lung cancer, through the clinical data so far to explore the clinical use of the drug, the choice of patients and the future direction of development.
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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.