Evidence map›Paper›PMID 32961825›Full record

SynthesisInternational journal of molecular sciences2020

Urinary Biomarkers for Diagnosis and Prediction of Acute Kidney Allograft Rejection: A Systematic Review.

Francesco Guzzi, Luigi Cirillo, Elisa Buti, Francesca Becherucci, Carmela Errichiello, Rosa Maria Roperto, James P Hunter, Paola Romagnani

Abstract readSystematic Review
In one paragraph

Synthesis in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 3 pooled it
–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

18 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Article
  6. Doppler ultrasound for the evaluation of chronic renal allograft dysfunction.Quantitative imaging in medicine and surgery · 2026
    Article
  7. Article
  8. [Therapeutic response and monitoring of antibody-mediated renal graft rejection].Revista medica del Instituto Mexicano del Seguro Social · 2025
    Article
  9. Article
  10. Review
  11. Review
  12. Clinical value of the sTim‑3 level in chronic kidney disease.Experimental and therapeutic medicine · 2022
    Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Editorial for Special Issue-Biomarkers of Renal Disease.International journal of molecular sciences · 2020
    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.

Francesco GuzziDepartment of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, 50134 Florence, Italy.ORCID 0000-0003-0788-5078
Luigi CirilloDepartment of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, 50134 Florence, Italy.ORCID 0000-0002-0440-7356
Elisa ButiNephrology and Dialysis Unit, Meyer Children's University Hospital, 50139 Florence, Italy.
Francesca BecherucciNephrology and Dialysis Unit, Meyer Children's University Hospital, 50139 Florence, Italy.
Carmela ErrichielloNephrology and Dialysis Unit, Meyer Children's University Hospital, 50139 Florence, Italy.
Rosa Maria RopertoNephrology and Dialysis Unit, Meyer Children's University Hospital, 50139 Florence, Italy.
James P HunterNuffield Department of Surgical Sciences, Oxford Transplant Centre, Churchill Hospital, University of Oxford, Oxford OX3 7LJ, UK.
Paola RomagnaniDepartment of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, 50134 Florence, Italy.ORCID 0000-0002-1774-8088

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Noninvasive tools for diagnosis or prediction of acute kidney allograft rejection have been extensively investigated in recent years. Biochemical and molecular analyses of blood and urine provide a liquid biopsy that could offer new possibilities for rejection prevention, monitoring, and therefore, treatment. Nevertheless, these tools are not yet available for routine use in clinical practice. In this systematic review, MEDLINE was searched for articles assessing urinary biomarkers for diagnosis or prediction of kidney allograft acute rejection published in the last five years (from January 1, 2015 to May 31, 2020). This review follows the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines. Articles providing targeted or unbiased urine sample analysis for the diagnosis or prediction of both acute cellular and antibody-mediated kidney allograft rejection were included, analyzed, and graded for methodological quality with a particular focus on study design and diagnostic test accuracy measures. Urinary C-X-C motif chemokine ligands were the most promising and frequently studied biomarkers. The combination of precise diagnostic reference in training sets with accurate validation in real-life cohorts provided the most relevant results and exciting groundwork for future studies.

Indexed as

Kidney TransplantationAllograftsBiomarkersGraft RejectionHumansKidneyBiomarkersantibody-mediated rejectiondiagnostic test accuracykidney graftkidney transplantationT-cell-mediated rejection

Identifiers

PMID32961825
PMCPMC7555436

What OpenQuestion holds

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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 OpenQuestion graph.