Evidence map›Paper›PMID 35530045›Full record

ArticleFrontiers in medicine2022

Early Estimated Glomerular Filtration Rate Trajectories After Kidney Transplant Biopsy as a Surrogate Endpoint for Graft Survival in Late Antibody-Mediated Rejection.

Anita Borski, Alexander Kainz, Nicolas Kozakowski, Heinz Regele, Johannes Kläger, Robert Strassl, Gottfried Fischer, Ingrid Faé, Sabine Wenda, Željko Kikić and 9 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2022. 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
1.3field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Clinical Impacts of Allograft Biopsy in Renal Transplant Recipients 10 Years or Longer After Transplantation.Transplant international : official journal of the European Society for Organ Transplantation · 2024
    Article
  3. 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

19 authors at 1 institution in 1 country.

Anita BorskiDepartment of Nephrology and Dialysis, Medical University Vienna, Vienna, Austria.
Alexander KainzDepartment of Nephrology and Dialysis, Medical University Vienna, Vienna, Austria.
Nicolas KozakowskiDepartment of Pathology, Medical University Vienna, Vienna, Austria.
Heinz RegeleDepartment of Pathology, Medical University Vienna, Vienna, Austria.
Johannes KlägerDepartment of Pathology, Medical University Vienna, Vienna, Austria.
Robert StrasslDivision of Clinical Virology, Department of Laboratory Medicine, Medical University Vienna, Vienna, Austria.
Gottfried FischerDepartment of Blood Group Serology and Transfusion Medicine, Medical University Vienna, Vienna, Austria.
Ingrid FaéDepartment of Blood Group Serology and Transfusion Medicine, Medical University Vienna, Vienna, Austria.
Sabine WendaDepartment of Blood Group Serology and Transfusion Medicine, Medical University Vienna, Vienna, Austria.
Željko KikićDepartment of Urology, Medical University Vienna, Vienna, Austria.
Gregor BondDepartment of Nephrology and Dialysis, Medical University Vienna, Vienna, Austria.
Roman Reindl-SchwaighoferDepartment of Nephrology and Dialysis, Medical University Vienna, Vienna, Austria.
Katharina A MayerDepartment of Nephrology and Dialysis, Medical University Vienna, Vienna, Austria.
Michael EderDepartment of Nephrology and Dialysis, Medical University Vienna, Vienna, Austria.
Markus WahrmannDepartment of Nephrology and Dialysis, Medical University Vienna, Vienna, Austria.
Susanne HaindlDepartment of Nephrology and Dialysis, Medical University Vienna, Vienna, Austria.
Konstantin DobererDepartment of Nephrology and Dialysis, Medical University Vienna, Vienna, Austria.
Georg A BöhmigDepartment of Nephrology and Dialysis, Medical University Vienna, Vienna, Austria.
Farsad EskandaryDepartment of Nephrology and Dialysis, Medical University Vienna, Vienna, Austria.
Medical University of Vienna · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Late antibody-mediated rejection (ABMR) after kidney transplantation is a major cause of long-term allograft loss with currently no proven treatment strategy. Design for trials testing treatment for late ABMR poses a major challenge as hard clinical endpoints require large sample sizes. We performed a retrospective cohort study applying commonly used selection criteria to evaluate the slope of the estimated glomerular filtration rate (eGFR) within an early and short timeframe after biopsy as a surrogate of future allograft loss for clinical trials addressing late ABMR. Methods: Study subjects were identified upon screening of the Vienna transplant biopsy database. Main inclusion criteria were (i) a solitary kidney transplant between 2000 and 2013, (ii) diagnosis of ABMR according to the Banff 2015 scheme at >12 months post-transplantation, (iii) age 15-75 years at ABMR diagnosis, (iv) an eGFR > 25 mL/min/1.73 m Results: A total of 70 allografts from 68 patients were included. An eGFR loss of 1 ml/min/1.73 m Conclusion: Our study supports the use of the eGFR slope modeled for at least 12 months after biopsy-proven diagnosis of late ABMR, as a surrogate parameter for future allograft loss. The simultaneous occurrence of glomerulonephritis together with ABMR at index biopsy and the use of ATG at the time of transplantation-likely representing a confounder in pre-sensitized recipients-were strongly associated with worse transplant outcomes.

Indexed as

allograft lossantibody-mediated allograft rejectiondonor-specific anti HLA antibodiesestimated glomerular filtration rate (eGFR)fine and gray modellandmark analysissurrogate end point validation

Identifiers

PMID35530045
PMCPMC9069161
OpenAlexW4224247853

What Socratic holds

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LicenceCC BY
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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 Socratic graph.