Evidence map›Paper›PMID 38386614›Full record

SynthesisBiomolecules & biomedicine2024

Donor-derived cell-free DNA as a diagnostic marker for kidney-allograft rejection: A systematic review and meta-analysis.

Yanbo Xing, Qiang Guo, Cong Wang, Haoying Shi, Jiarui Zheng, Yijun Jia, Chengyong Li, Chuan Hao

Open access · diamondAbstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Biomolecules & biomedicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
8.6field-weighted citation impact, top 1% 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

13 citing papers in PubMed, 17 citations in OpenAlex.

  1. Observational
  2. Article
  3. Review
  4. Longitudinal Monitoring of Donor-Derived Cell-Free DNA Supports Risk Stratification in Kidney Transplant Recipients With Allograft Dysfunction.Transplant international : official journal of the European Society for Organ Transplantation · 2026
    Article
  5. Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Observational
  12. Review
  13. Review
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 at 2 institutions in 2 countries.

Yanbo XingDepartment of Urology, The Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China; Second Clinical Medical College, Shanxi Medical University, Taiyuan, Shanxi, China.
Qiang GuoDepartment of Urology, The Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Cong WangDepartment of Urology, The Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China; Second Clinical Medical College, Shanxi Medical University, Taiyuan, Shanxi, China.
Haoying ShiDepartment of Urology, The Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China; Second Clinical Medical College, Shanxi Medical University, Taiyuan, Shanxi, China.
Jiarui ZhengDepartment of Urology, The Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China; Second Clinical Medical College, Shanxi Medical University, Taiyuan, Shanxi, China.
Yijun JiaDepartment of Urology, The Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China; Second Clinical Medical College, Shanxi Medical University, Taiyuan, Shanxi, China.
Chengyong LiDepartment of Urology, The Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Chuan HaoDepartment of Urology, The Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Shanxi Medical University · CNGuangdong Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Donor-derived cell-free DNA (dd-cfDNA) has emerged as a promising biomarker for detecting graft rejection. This study aimed to evaluate the diagnostic accuracy and clinical value of applying it to kidney transplant rejection. Relevant literature on dd-cfDNA diagnostics in kidney transplant rejection was reviewed from PubMed, Embase, Cochrane Library, and Web of Science databases up to 2023. Data and study characteristics were extracted independently by two researchers, and disagreements were resolved through discussion. Diagnostic accuracy data for any rejection (AR) and antibody-mediated rejection (ABMR) were analyzed separately. Potential heterogeneity was analyzed by subgroup analysis or meta-regression. Funnel plots were used to clarify the presence or absence of publication bias. Nine publications provided data on dd-cfDNA accuracy in diagnosing patients with AR. The pooled sensitivity, specificity, and the area under the receiver operating characteristic (AUROC) curve with 95% confidence intervals (CI) were 0.59 (95% CI, 0.48-0.69), 0.83 (95% CI, 0.76-0.88), and 0.80 (95% CI, 0.76-0.83), respectively. Additionally, 12 studies focused on the diagnostic accuracy of dd-cfDNA for ABMR, showing pooled sensitivity, specificity, and the AUROC curve with 95% CI of 0.81 (95% CI, 0.72-0.88), 0.80 (95% CI, 0.73-0.86), and 0.87 (95% CI, 0.84-0.90), respectively. Study type, age group, and sample size contributed to heterogeneity. In summary, our findings indicate that while plasma dd-cfDNA accuracy in diagnosing patients with AR is limited by significant heterogeneity, it is a valuable biomarker for diagnosing ABMR.

Indexed as

BiomarkersCell-Free Nucleic AcidsGraft RejectionKidney TransplantationTissue DonorsAllograftsHumansROC CurveBiomarkersCell-Free Nucleic Acids

Identifiers

PMID38386614
PMCPMC11293223
OpenAlexW4391837303

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.