ArticleKidney medicine
Precision Medicine Diagnostics for Rare Kidney Disease: Twitter as a Tool in Clinical Genomic Translation.
Article in Kidney medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers, 1 of them a synthesis that pooled it.
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, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.
- Opportunities and pitfalls of social media research in rare genetic diseases: a systematic review.Genetics in medicine : official journal of the American College of Medical Genetics · 2021Pooled it
- The expanded spectrum of human disease associated with GREB1L likely includes complex congenital heart disease.Prenatal diagnosis · 2024Article
- A novel missense mutation in GREB1L identified in a three-generation family with renal hypodysplasia/aplasia-3.Orphanet journal of rare diseases · 2022Article
- Experiments with LDA and Top2Vec for embedded topic discovery on social media data-A case study of cystic fibrosis.Frontiers in artificial intelligence · 2022Article
Corrections and comments
- Erratum issued
Authors and funding
11 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
New technologies such as genomics present opportunities to deliver precision medicine, including in the diagnosis of rare kidney disorders. Simultaneously, social media platforms such as Twitter can provide rapid and wide-reaching information dissemination in health care and science. We present 2 cases in which the reporting of a novel genetic cause for human kidney disease was communicated through Twitter and then subsequently noted by treating clinicians, thereby resulting in rapid clinical diagnostic translation. In 1 family, this involved the reporting of heterozygous variants in
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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.