Evidence map›Paper›PMID 39990525›Full record

ReviewMedical journal, Armed Forces India

Glomerulitis in T cell-mediated renal allograft rejection and antibody-mediated rejection histology in the absence of donor-specific antibodies heralds a similar clinico-morphologic pattern of injury to an antibody-mediated rejection: A systematic review.

Varun Bajaj, A W Kashif, Vikram Singh, Surabhi Sharma, Somasundaram Venkatesan

Abstract readReview
In one paragraph

Review in Medical journal, Armed Forces India. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Varun BajajAssistant Professor, Department of Pathology, Armed Forces Medical College, Pune, India.
A W KashifProfessor, Department of Pathology, Armed Forces Medical College, Pune, India.
Vikram SinghAssistant Professor, Department of Pathology, Armed Forces Medical College, Pune, India.
Surabhi SharmaSenior Resident (Community Medicine), Army Institute of Cardiothoracic Sciences, Pune, India.
Somasundaram VenkatesanProfessor & Head, Department of Pathology, Armed Forces Medical College, Pune, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The morphologic finding of transplant glomerulitis (g) forms important evidence of microvascular injury. Besides antibody-mediated rejection (ABMR), this morphological feature is also seen in acute cellular rejection (ACR) and vasculitis but not included in the grading criteria for cellular rejection. A systematic review was thus conducted to summarize the current evidence and shed light on the quantum of impetus to be given to this finding when encountered during evaluation of renal biopsies. Out of a total of 13 studies selected, 06 studies supported the histologic finding of glomerulitis in ACR and non-DSA ABMR morphologies with variable incidence ranging from 15 to 21%. Seven studies supported glomerulitis as an independent prognostic marker for graft outcome at 1 year post transplant with or without DSA with highest HR reported of 4.52 and lowest being 01. Reviewing the present literature revealed interesting insights into occurrence, nature, molecular expression, role in glomerular injury and long-term outcomes with glomerulitis. It is recommended to approach the treatment of such lesions with heightened caution, as there appear to be elevated rates of graft failure, delayed graft function and Transplant glomerulopathy.

Indexed as

Acute cellular rejectionAntibody-mediated rejectionDonor-specific antibodiesTransplant glomerulitis

Identifiers

PMID39990525
PMCPMC11842912

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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.