Evidence map›Paper›PMID 26157588›Full record

ArticleInfection & chemotherapy2015

Diagnostic Usefulness of Cytomegalovirus (CMV)-Specific T Cell Immunity in Predicting CMV Infection after Kidney Transplantation: A Pilot Proof-of-Concept Study.

Sung-Han Kim, Hyun-Jeong Lee, Sun-Mi Kim, Joo Hee Jung, Sung Shin, Young Hoon Kim, Hungseop Sung, Sang-Oh Lee, Sang-Ho Choi, Yang Soo Kim and 2 more

Open access · goldAbstract read
In one paragraph

Article in Infection & chemotherapy, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

10 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Observational
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. 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

12 authors at 1 institution in 1 country.

Sung-Han KimDepartment of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Hyun-Jeong LeeDepartment of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Sun-Mi KimDepartment of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Joo Hee JungDepartment of Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Sung ShinDepartment of Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Young Hoon KimDepartment of Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Hungseop SungDepartment of Laboratory Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Sang-Oh LeeDepartment of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Sang-Ho ChoiDepartment of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Yang Soo KimDepartment of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Jun Hee WooDepartment of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Duck Jong HanDepartment of Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Ulsan College · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCytomegalovirus (CMV) is one of the most important opportunistic infections in transplant recipients. Currently sero-positivity for CMV IgG before solid organ transplantation is the laboratory test of choice for stratifying the risk of CMV reactivation after solid organ transplantation. Theoretically, CMV-specific cell-mediated immune responses before solid organ transplantation should further categorize patients as high or low risk of CMV development. We therefore evaluated the usefulness of the CMV-specific enzyme-linked immunospot (ELISPOT) assay in kidney transplant (KT) candidates for predicting the development of CMV infections after transplantation. MATERIALS AND

methodsAll adult CMV IgG (+) recipients admitted to the KT institute between March 2014 and June 2014 were enrolled, and CMV infections after KT were observed between March 2014 and December 2014. All patients underwent CMV pp65 and IE1-specific ELISPOT assays before transplantation. CMV infection was defined in the presence of CMV antigenemia, CMV syndrome, or tissue-invasive CMV disease. We used the data to select optimal cut-off values for pp65 and IE1, respectively, on ROC curves.

resultsA total of 69 transplant recipients involving 54 (78%) living-donor KT, 9 (13%) deceased-donor KT, 3 (4%) kidney-pancreas transplants, and 3 (4%) pancreas transplants were enrolled. Of the 69 patients, 27 (39%) developed CMV infections. There was no association between the IE1-specific ELISPOT assay and CMV infection. However, only 15 (31%) of the 48 patients with positive pp65-specific ELISPOT results (>10 spots/2.0 × 105 cells) developed CMV infections, whereas 12 (57%) of the 21 patients with negative pp65-specific ELISPOT results developed CMV infection (P = 0.04).

conclusionNegative pp65-specific ELISPOT assay results before transplantation appear to predict the subsequent development of CMV infections after transplantation in CMV IgG (+) KT recipients. Therefore, risk stratification of CMV IgG (+) recipients using the CMV-specific ELISPOT, together with preventive strategies, may further reduce CMV development.

Indexed as

CytomegalovirusEnzyme-linked immunospot assayKidney transplantation

Identifiers

PMID26157588
PMCPMC4495268
OpenAlexW2143495433

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.