ArticleeLife2018
How low can you go?
Article in eLife, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- Article
- A destabilizing Y891D mutation in activated EGFR impairs sensitivity to kinase inhibition.NPJ precision oncology · 2024Article
- Mechanistically Weighted Metric to Predict In Vivo Antibody-Receptor Occupancy: An Analytical Approach.The Journal of pharmacology and experimental therapeutics · 2023Article
- Recent Advances in the Study of Extracellular Vesicles in Colorectal Cancer.Gastroenterology · 2022Review
- Mechanism of p38 MAPK-induced EGFR endocytosis and its crosstalk with ligand-induced pathways.The Journal of cell biology · 2021Article
Corrections and comments
- Comment on
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Extremely low numbers of active epidermal growth factor receptors are sufficient to drive tumor growth.
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.