ArticleThe Journal of experimental medicine2017
Correction: AAV-mediated expression of anti-tau scFvs decreases tau accumulation in a mouse model of tauopathy.
Article in The Journal of experimental medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- AAV-mediated peripheral scFv's administration to reduce cerebral tau in adult P301S transgenic mice: Mono-vs. combination therapy.Molecular therapy. Methods & clinical development · 2025Article
- Loss of forebrain BIN1 attenuates hippocampal pathology and neuroinflammation in a tauopathy model.Brain : a journal of neurology · 2023Article
- Intramuscular injection of vectorized-scFvMC1 reduces pathological tau in two different tau transgenic models.Acta neuropathologica communications · 2020Article
Corrections and comments
- Erratum for
Authors and funding
11 authors.
Funding
Abstract
PubMed holds no abstract for this paper.
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.