Evidence map›Paper›PMID 40264987›Full record

ArticleJGH open : an open access journal of gastroenterology and hepatology2025

Urine TIMP2.IGFBP7 Reflects Kidney Injury After Moderate Volume Paracentesis in Patients With Ascites: A Randomized Control Study.

Anuchit Suksamai, Sanpolpai Khaoprasert, Amnart Chaiprasert, Sakkarin Chirapongsathorn

Abstract read
In one paragraph

Article in JGH open : an open access journal of gastroenterology and hepatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
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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

4 authors.

Anuchit SuksamaiDivision of Gastroenterology and Hepatology, Department of Medicine Phramongkutklao Hospital and College of Medicine Bangkok Thailand.ORCID https://orcid.org/0000-0001-5991-3689
Sanpolpai KhaoprasertDivision of Gastroenterology and Hepatology, Department of Medicine Phramongkutklao Hospital and College of Medicine Bangkok Thailand.
Amnart ChaiprasertDivision of Nephrology, Department of Medicine Phramongkutklao Hospital and College of Medicine Bangkok Thailand.
Sakkarin ChirapongsathornDivision of Gastroenterology and Hepatology, Department of Medicine Phramongkutklao Hospital and College of Medicine Bangkok Thailand.ORCID https://orcid.org/0000-0001-6924-8504

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Urinary biomarkers may predict acute kidney injury (AKI) in cirrhosis with ascites in a moderate volume paracentesis setting. Objective: The study aimed to assess the risk and consequence of AKI and its progression in patients with decompensated cirrhosis undergoing paracentesis using a urine test measuring tissue inhibitor of metalloproteinases-2 (TIMP2) and insulin-like growth factor-binding protein 7 (IGFBP7). Methods: A randomized, controlled trial was performed. All outpatients with decompensated cirrhosis with ascites and diuretic complications were enrolled and randomized into 3 and 5 L paracentesis groups. Serial urine samples were analyzed for TIMP2. IGFBP7 concentration before and after paracentesis. Results: A total of 90 patients with decompensated cirrhosis were consecutively enrolled during the study period. After screening, 29 patients were enrolled in the 3-L paracentesis group, and 25 patients were enrolled in the 5-L paracentesis group. The mean of the MELD score was 8 ± 1.2. Urine TIMP2.IGFBP7 > 2, rising urine TIMP2, and rising urine TIMP2/urine Cr were shown in patients within the 5-L group for 48% ( Conclusion: In cirrhotic patients with ascites undergoing paracentesis, a 5-L paracentesis volume was associated with a higher incidence of renal tubular injury markers.

Indexed as

AKIdecompensated cirrhosisnovel biomarkerurine IGFBP7urine TIMP2

Identifiers

PMID40264987
PMCPMC12012385

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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.