Evidence map›Paper›PMID 41332898›Full record

SynthesisFrontiers in pediatrics2025

Optimizing pediatric AKI diagnosis: a patient-tailored meta-analysis of urinary TIMP-2/IGFBP7 performance across clinical scenarios and assay platforms.

Yilong Huang, Yunguang Liu, Na Lin, Guangzi Qi, Wen Shao

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in pediatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Yilong HuangYoujiang Medical University for Nationalities Department of Pediatrics, Affiliated Hospital of Youjiang Ethnic Medical College, Baise, China.
Yunguang LiuYoujiang Medical University for Nationalities Department of Pediatrics, Affiliated Hospital of Youjiang Ethnic Medical College, Baise, China.
Na LinYoujiang Medical University for Nationalities Department of Pediatrics, Affiliated Hospital of Youjiang Ethnic Medical College, Baise, China.
Guangzi QiYoujiang Medical University for Nationalities, Baise, China.
Wen ShaoYoujiang Medical University for Nationalities Department of Pediatrics, Affiliated Hospital of Youjiang Ethnic Medical College, Baise, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To systematically evaluate the diagnostic value of urinary cell cycle arrest biomarkers, tissue inhibitor of metalloproteinases-2 (TIMP-2) and insulin-like growth factor binding protein 7 (IGFBP7), for the early diagnosis of acute kidney injury (AKI) in children using a meta-analysis. Methods: Nine databases were searched (inception-May 2025). Two reviewers independently screened studies, extracted data, and assessed quality (QUADAS-2). Bivariate models (STATA 18.0) generated pooled estimates. Results: 15studies (1,338participants; 337 AKI cases) were included. Overall accuracy: Sensitivity 0.84 (95% CI: 0.71-0.91), Specificity 0.85 (95% CI: 0.76-0.91), AUROC 0.91. Key subgroups: High-risk Neonates: AUROC 0.96, NLR 0.13 (95% CI: 0.02-0.78), Critically Ill/Sepsis: AUROC 0.88, NLR 0.15 (95% CI: 0.04-0.64), ELISA testing: Sensitivity 0.88 (95% CI: 0.70-0.96), NLR 0.15 (95% CI: 0.05-0.43); NephroCheck® Test: AUROC 0.79; Funnel plot asymmetry suggested publication bias. Conclusions: TIMP-2/IGFBP7 show high diagnostic accuracy across pediatric settings, supporting their clinical utility. Systematic Review Registration: https://www.crd.york.ac.uk/PROSPERO/view/CRD420251089957, PROSPERO CRD420251089957.

Indexed as

acute kidney injurydiagnosisinsulin-like growth factor binding protein 7 (IGFBP7)meta-analysispediatricstissue inhibitor of metalloproteinases 2 (TIMP-2)

Identifiers

PMID41332898
PMCPMC12665772

What OpenQuestion 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 OpenQuestion graph.