Evidence map›Paper›PMID 26722652›Full record

ReviewWorld journal of transplantation2015

Role for urinary biomarkers in diagnosis of acute rejection in the transplanted kidney.

Basma Merhi, George Bayliss, Reginald Y Gohh

Abstract readReview
In one paragraph

Review in World journal of transplantation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

3 authors.

Basma MerhiBasma Merhi, George Bayliss, Department of Medicine, Division of Kidney Disease and Hypertension, Rhode Island Hospital, Brown University School of Medicine, Providence, RI 02903, United States.
George BaylissBasma Merhi, George Bayliss, Department of Medicine, Division of Kidney Disease and Hypertension, Rhode Island Hospital, Brown University School of Medicine, Providence, RI 02903, United States.
Reginald Y GohhBasma Merhi, George Bayliss, Department of Medicine, Division of Kidney Disease and Hypertension, Rhode Island Hospital, Brown University School of Medicine, Providence, RI 02903, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the introduction of potent immunosuppressive medications within recent decades, acute rejection still accounts for up to 12% of all graft losses, and is generally associated with an increased risk of late graft failure. Current detection of acute rejection relies on frequent monitoring of the serum creatinine followed by a diagnostic renal biopsy. This strategy is flawed since an alteration in the serum creatinine is a late clinical event and significant irreversible histologic damage has often already occurred. Furthermore, biopsies are invasive procedures that carry their own inherent risk. The discovery of non-invasive urinary biomarkers to help diagnose acute rejection has been the subject of a significant amount of investigation. We review the literature on urinary biomarkers here, focusing on specific markers perforin and granzyme B mRNAs, FOXP3 mRNA, CXCL9/CXCL10 and miRNAs. These and other biomarkers are not yet widely used in clinical settings, but our review of the literature suggests that biomarkers may correlate with biopsy findings and provide an important early indicator of rejection, allowing more rapid treatment and better graft survival.

Indexed as

Acute renal allograft rejectionGraft outcomeSerum creatinineUrinary biomarkersUrinary CXCL9 and CXCL10Urinary FOXP3 mRNAUrinary miRNAUrinary perforin, granzyme B and Fas-ligand mRNA

Identifiers

PMID26722652
PMCPMC4689935

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.