Evidence map›Paper›PMID 42668583›Full record

ArticleKidney medicine2026

The Precision and Accuracy of Chronic Kidney Disease Epidemiology Collaboration Creatinine, Cystatin C, and Creatinine-Cystatin C Equations in Kidney Transplant Recipients: A Systematic Review and Meta-Analysis.

Kanita Mankan, Pakpoom Wongyikul, Nop Khongthon, Adivitch Sripusanapan, Kajohnsak Noppakun, Ekamol Tantisattamo, Pojsakorn Danpanichkul, Phichayut Phinyo, Moragot Chatatikun, Atthaphong Phongphithakchai

Abstract read
In one paragraph

Article in Kidney medicine, 2026. 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

10 authors.

Kanita MankanDepartment of Biochemistry, Chiang Mai University, Chiang Mai, Thailand.
Pakpoom WongyikulDepartment of Biomedical Informatics and Clinical Epidemiology (BioCE), Chiang Mai University, Chiang Mai.
Nop KhongthonPrimary Care and Family Medicine, Thammasat University Hospital, Bangkok, Thailand.
Adivitch SripusanapanChiang Mai University, Chiang Mai, Thailand.
Kajohnsak NoppakunDivision of Nephrology, Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.
Ekamol TantisattamoDivision of Nephrology and Hypertension and Kidney Transplantation, University of California, Irvine, Irvine, CA.
Pojsakorn DanpanichkulDepartment of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, TX.
Phichayut PhinyoDepartment of Biomedical Informatics and Clinical Epidemiology (BioCE), Chiang Mai University, Chiang Mai.
Moragot ChatatikunSchool of Allied Health Sciences, Walailak University, Nakhon Si Thammarat, Thailand.
Atthaphong PhongphithakchaiNephrology Unit, Division of Internal Medicine, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rationale & Objective: Cystatin C offers advantages over creatinine for estimating glomerular filtration rate (GFR) because of its reduced dependence on muscle mass. Although the 2024 Kidney Disease: Improving Global Outcomes (KDIGO) guidelines support its use in chronic kidney disease, specific guidance for kidney transplant recipients (KTRs) remains limited. This systematic review and meta-analysis evaluated the precision and accuracy of cystatin C-based, creatinine-based, and combined creatinine- and cystatin C-based equations compared with measured GFR in KTRs. Study Design: Systematic review and meta-analysis. Setting & Study Populations: Published studies evaluating the performance of Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equations among adult KTRs. Selection Criteria for Studies: The peer-reviewed studies reporting CKD-EPI-based estimated GFR (eGFR) compared with measured GFR, including data on mean bias and/or accuracy metrics (P30 or P10). Data Extraction: Two reviewers independently extracted study characteristics, GFR measurement methods, equation type, mean bias, and accuracy outcomes. Discrepancies were resolved through consensus. Analytical Approach: Random-effects meta-analyses were performed to estimate pooled mean bias and accuracy within 30% (P30) and 10% (P10) of measured GFR, with 95% confidence intervals (CIs). Heterogeneity was quantified using the I Results: Twenty-six studies met inclusion criteria; 14 provided extractable CKD-EPI bias data (4,041 adult KTRs; 11,997 repeated measures). The combined creatinine-cystatin C equation had the lowest pooled mean bias (0.63 mL/min/1.73 m Limitations: Heterogeneity in GFR measurement methods, assay calibration, and timing post-transplant. Conclusions: Across heterogeneous KTR studies, the CKD-EPI creatinine-cystatin C equation demonstrates lower mean bias and slightly higher pooled P30 than single-marker equations in population-level assessment. When cystatin C is available, the combined equation is a reasonable choice. Further multicenter validation studies with harmonized biomarker protocols are needed to confirm its clinical utility in KTRs. Registration: PROSPERO (CRD42024506221).

Indexed as

creatinineCystatin Cestimated glomerular filtration ratekidney transplant

Identifiers

PMID42668583
PMCPMC13524676

What Socratic holds

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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 Socratic graph.