Evidence map›Paper›PMID 32098130›Full record

ReviewJournal of clinical medicine2020

Variable Responses to Corneal Grafts: Insights from Immunology and Systems Biology.

Antonio Di Zazzo, Sang-Mok Lee, Jaemyoung Sung, Matteo Niutta, Marco Coassin, Alireza Mashaghi, Takenori Inomata

Open access · goldAbstract readReview
In one paragraph

Review in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
2.3field-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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Peripheral blood immune cell profiling of acute corneal transplant rejection.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2022
    Article
  14. Article
  15. Article
  16. Immunology and Donor-Specific Antibodies in Corneal Transplantation.Archivum immunologiae et therapiae experimentalis · 2021
    Review
  17. Review
  18. Article
  19. Article
  20. Corneal angiogenic privilege and its failure.Experimental eye research · 2021
    Review
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

7 authors at 5 institutions in 5 countries.

Antonio Di ZazzoOphthalmology Complex Operative Unit, Campus Bio Medico University, 00128 Rome, Italy.
Sang-Mok LeeDepartment of Ophthalmology, Catholic Kwandong University College of Medicine, Gangneung-si, Gangwon-do 25601, Korea.
Jaemyoung SungUniversity of South Florida, Morsani College of Medicine, Tampa, FL 33612, USA.
Matteo NiuttaOphthalmology Complex Operative Unit, Campus Bio Medico University, 00128 Rome, Italy.
Marco CoassinOphthalmology Complex Operative Unit, Campus Bio Medico University, 00128 Rome, Italy.
Alireza MashaghiSystems Biomedicine and Pharmacology Division, Leiden Academic Centre for Drug Research, Leiden University, 2333CC Leiden, The Netherlands.
Takenori InomataDepartment of Ophthalmology, Juntendo University Faculty of Medicine, Tokyo 1130033, Japan.
Università Campus Bio-Medico · ITJuntendo University · JPLeiden University · NLNune Eye Hospital · KRUniversity of South Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Corneal grafts interact with their hosts via complex immunobiological processes that sometimes lead to graft failure. Prediction of graft failure is often a tedious task due to the genetic and nongenetic heterogeneity of patients. As in other areas of medicine, a reliable prediction method would impact therapeutic decision-making in corneal transplantation. Valuable insights into the clinically observed heterogeneity of host responses to corneal grafts have emerged from multidisciplinary approaches, including genomics analyses, mechanical studies, immunobiology, and theoretical modeling. Here, we review the emerging concepts, tools, and new biomarkers that may allow for the prediction of graft survival.

Indexed as

biomechanicscorneagenomicsimmune rejectionpersonalized medicinetransplantation

Identifiers

PMID32098130
PMCPMC7074162
OpenAlexW3008616526

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.