Evidence map›Paper›PMID 42150481›Full record

ArticleClinics (Sao Paulo, Brazil)2026

Diagnostic accuracy of MRI and US for identifying acute rejection after allogeneic kidney transplantation: a systematic review and meta-analysis.

Rong Qian, Ya-Fei Zhang, Xin-Yan Zhou, Yi-Hua Bai, Dong Chen, Tao Wu, Guo-Dong Zhang, Wan Shen, Sha-Sha Bao, Na Tan and 3 more

Abstract read
In one paragraph

Article in Clinics (Sao Paulo, Brazil), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

13 authors.

Rong QianDepartment of Radiology, Yan' an Hospital Affiliated to Kunming Medical University, (Kunming Yan' an Hospital), Kunming, China; Key Laboratory of Tumor Immunological Prevention and Treatment of Yunnan Province, Kunming, China.
Ya-Fei ZhangDepartment of Urology, The First People's Hospital of Kunming, Kunming, China.
Xin-Yan ZhouDepartment of Radiology, Yan' an Hospital Affiliated to Kunming Medical University, (Kunming Yan' an Hospital), Kunming, China; Key Laboratory of Tumor Immunological Prevention and Treatment of Yunnan Province, Kunming, China.
Yi-Hua BaiDepartment of Nephrology, The Second Affiliated Hospital of Kunming Medical University, Kunming, China.
Dong ChenDepartment of Ultrasound, Yunnan Cancer Hospital (The Third Affiliated Hospital of Kunming Medical University), Kunming, China.
Tao WuDepartment of Colorectal Surgery, Yunnan Cancer Hospital (The Third Affiliated Hospital of Kunming Medical University), Kunming, China.
Guo-Dong ZhangBidding and Procurement Office, Yunnan Cancer Hospital (The Third Affiliated Hospital of Kunming Medical University), Kunming, China.
Wan ShenDepartment of Radiology, Yan' an Hospital Affiliated to Kunming Medical University, (Kunming Yan' an Hospital), Kunming, China; Key Laboratory of Tumor Immunological Prevention and Treatment of Yunnan Province, Kunming, China.
Sha-Sha BaoDepartment of Radiology, Yan' an Hospital Affiliated to Kunming Medical University, (Kunming Yan' an Hospital), Kunming, China; Key Laboratory of Tumor Immunological Prevention and Treatment of Yunnan Province, Kunming, China.
Na TanDepartment of Radiology, Yan' an Hospital Affiliated to Kunming Medical University, (Kunming Yan' an Hospital), Kunming, China; Key Laboratory of Tumor Immunological Prevention and Treatment of Yunnan Province, Kunming, China.
Yi LuDepartment of Radiology, The First Affiliated Hospital of Kunming Medical University), Kunming, China.
Cheng-de LiaoDepartment of Radiology, Yan' an Hospital Affiliated to Kunming Medical University, (Kunming Yan' an Hospital), Kunming, China; Key Laboratory of Tumor Immunological Prevention and Treatment of Yunnan Province, Kunming, China. Electronic address: chengdeliao@qq.com.
Zhi-Qiang OuyangDepartment of Radiology, Yan' an Hospital Affiliated to Kunming Medical University, (Kunming Yan' an Hospital), Kunming, China; Key Laboratory of Tumor Immunological Prevention and Treatment of Yunnan Province, Kunming, China. Electronic address: zhi-qiangouyang@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate the diagnostic performance of multiparametric Magnetic Resonance Imaging (MRI) and Ultrasound (US) for detecting Acute Immune Rejection (AIR) after kidney transplantation through a systematic review and meta-analysis.

methodsFive electronic databases were systematically searched up to May 30, 2025. Eligible studies included kidney transplant recipients assessed with noninvasive imaging for AIR and reporting diagnostic accuracy. Two reviewers independently performed study selection, data extraction, and quality assessment using the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2). Given the heterogeneity of imaging modalities, MRI and US studies were analyzed separately, and subgroup analyses and meta-regression were performed to explore sources of heterogeneity.

resultsEighteen studies (1140 cases; 494 AIR and 646 non-AIR) were included. For MRI, the pooled sensitivity, specificity, and Area Under the Curve (AUC) were 0.89, 0.91, and 0.96, respectively. For US, the pooled sensitivity, specificity, and AUC were 0.79, 0.89, and 0.90, respectively. Substantial between-study heterogeneity was observed. Meta-regression and subgroup analyses suggested that heterogeneity was associated with reference standard and imaging timing.

conclusionMRI and US demonstrate promising accuracy for detecting AIR after kidney transplantation. However, the available evidence remains limited in scale, and substantial heterogeneity exists across studies. Therefore, MRI and US should be considered adjunctive tools rather than replacements for histopathological biopsy. Further large-scale, prospective studies are required to validate their clinical utility.

Indexed as

Diagnosis accuracyKidney transplantationMagnetic resonance imagingMeta-analysisUltrasound imaging

Identifiers

PMID42150481
PMCPMC13213319

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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.