ReviewClinical and experimental nephrology2010
Searching for novel intercellular signal-transducing molecules in the kidney and their clinical application.
Review in Clinical and experimental nephrology, 2010. 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
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this review, isolation and characterization of several kidney-derived molecules are described, namely carbonic anhydrase XIV, cysteine-rich protein 61, and kidney-liver-specific immunoglobulin-like protein. Features of neutrophil gelatinase-associated lipocalin (LCN2 or human neutrophil lipocalin) as a kidney differentiation inducer and renal injury biomarker and also as an iron-carrier protein are also summarized. Furthermore, the concepts of forest fire theory and the biology of siderophore-binding proteins are discussed.
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20652349What 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.