Evidence map›Paper›PMID 11417301›Full record

Trial reportThe Korean journal of internal medicine2001

Clinical significance of anti-endothelial cell antibody in renal transplant recipients.

Y S Shin, C W Yang, H J Ahn, C W Park, D C Jin, Y S Kim, Y S Chang, B K Bang

Abstract readClinical TrialComparative StudyControlled Clinical Trial
In one paragraph

Trial report in The Korean journal of internal medicine, 2001. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. B-cell immunity in the context of T-cell tolerance after combined kidney and bone marrow transplantation in humans.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2009
    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

8 authors.

Y S ShinDivision of Nephrology, Department of Internal Medicine, The Catholic University of Korea.
C W Yang
H J Ahn
C W Park
D C Jin
Y S Kim
Y S Chang
B K Bang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to evaluate the role of anti-endothelial cell antibody (AECA) in acute rejection in renal transplantation, serum AECA IgG titers were measured in 68 healthy controls, 111 chronic hemodialysis (HD) patients and 58 first renal transplant recipients. The AECA titer in hemodialysis patients was higher than in healthy controls (13.9 +/- 5.0 vs. 4.8 +/- 2.3 U/mL, p < 0.01). In transplant recipients, AECA titers were not affected by dialysis mode (HD vs. CAPD vs. non-dialysis; 9.6 +/- 7.6 vs. 7.9 +/- 3.9 vs. 11.9 +/- 3.1 U/mL, p > 0.05). After renal transplantation, AECA titer was decreased significantly (vs. 4.7 +/- 3.6 U/mL. p < 0.01). The serum AECA IgG titers increased significantly in recipients with acute rejection (6.9 +/- 3.1 vs. 13.5 +/- 9.9 U/mL, p < 0.01), but decreased to 5.6 +/- 3.0 U/mL (p < 0.01) after formal rejection therapy. In the recipients with acute rejection (n = 27), the pre-renal transplant AECA titer was higher than in that without acute rejection (14.0 +/- 8.6 vs. 7.7 +/- 3.8 U/mL, p < 0.01). The results of this study lead us to conclude that pre- and post-renal transplant AECA titer might be a useful predictor for acute rejection and useful for monitoring acute rejection in renal transplant recipients.

Indexed as

AdultAgedAutoantibodiesBiomarkersEnzyme-Linked Immunosorbent AssayFemaleGraft RejectionHumansKidney TransplantationMaleMiddle AgedProbabilityPrognosisReference ValuesRenal DialysisSensitivity and Specificityanti-endothelial cell antibodyAutoantibodiesBiomarkers

Identifiers

PMID11417301
PMCPMC4531702

What OpenQuestion holds

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Registered trials

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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.