Evidence map›Paper›PMID 34548657›Full record

ArticleGene therapy2022

Rs1h

Yong Zeng, Haohua Qian, Maria Mercedes Campos, Yichao Li, Camasamudram Vijayasarathy, Paul A Sieving

Open access · hybridAbstract read
In one paragraph

Article in Gene therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 9% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Cells · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. X-Linked Retinoschisis.Cold Spring Harbor perspectives in medicine · 2023
    Review
  12. A Spontaneous Nonhuman Primate Model of Myopic Foveoschisis.Investigative ophthalmology & visual science · 2023
    Article
  13. Article
  14. XLRS Rat with Rs1Genes · 2022
    Article
  15. Article
  16. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Yong Zeng *National Eye Institute, National Institutes of Health, Bethesda, MD, USA.
Haohua Qian *National Eye Institute, National Institutes of Health, Bethesda, MD, USA.ORCID 0000-0002-1114-4697
Maria Mercedes CamposNational Eye Institute, National Institutes of Health, Bethesda, MD, USA.
Yichao LiNational Eye Institute, National Institutes of Health, Bethesda, MD, USA.
Camasamudram VijayasarathyNational Eye Institute, National Institutes of Health, Bethesda, MD, USA.
Paul A SievingNational Eye Institute, National Institutes of Health, Bethesda, MD, USA. pasieving@ucdavis.edu.ORCID 0000-0002-2918-577X
National Institutes of Health · USCalifornia Institute for Regenerative Medicine · US

Funding

Visual Function CoreZICEY000503 · NEI · NATIONAL EYE INSTITUTE · PI QIAN, HAOHUA · 2011 to 2025
$12.3M
Evaluation of Visual Function in Animal ModelsZIAEY000530 · NEI · NATIONAL EYE INSTITUTE · PI QIAN, HAOHUA · 2013 to 2025
$1.8M
Intramural NIH HHS Z99 EY999999
6 · The paper itself

Abstract

Animal models of X-linked juvenile retinoschisis (XLRS) are valuable tools for understanding basic biochemical function of retinoschisin (RS1) protein and to investigate outcomes of preclinical efficacy and toxicity studies. In order to work with an eye larger than mouse, we generated and characterized an Rs1h

Indexed as

Cell Adhesion MoleculesEye ProteinsRetinoschisisAnimalsDietary SupplementsElectroretinographyExonsHumansPhenotypeRatsRetinaCell Adhesion MoleculesEye ProteinsRS1 protein, human

Identifiers

PMID34548657
PMCPMC8938309
OpenAlexW3199821901

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.