Evidence map›Paper›PMID 42027901›Full record

ArticleClinical kidney journal2026

Breath ammonia test for chronic kidney disease screening: impact of fasting on diagnostic accuracy.

Ming-Jen Chan, Shuh-Kuan Liau, Yi-Jung Li, Hsiao-Wen Zan, Hsing-Fei Meng, Chao-Sung Lai, Yi-Jiun Su, Ya-Chung Tian

Abstract read
In one paragraph

Article in Clinical kidney journal, 2026. 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

8 authors.

Ming-Jen ChanDepartment of Nephrology and Kidney Research Center, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan.ORCID https://orcid.org/0000-0003-1482-8557
Shuh-Kuan LiauDepartment of Nephrology and Kidney Research Center, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan.
Yi-Jung LiDepartment of Nephrology and Kidney Research Center, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan.
Hsiao-Wen ZanDepartment of Photonic, National Yang Ming Chiao Tung University, Hsinchu, Taiwan.ORCID https://orcid.org/0000-0002-7685-1245
Hsing-Fei MengInstitute of Physics, National Yang Ming Chiao Tung University, Hsinchu, Taiwan.
Chao-Sung LaiDepartment of Electronics Engineering, Chang Gung University, Taoyuan, Taiwan.ORCID https://orcid.org/0000-0002-2069-7533
Yi-Jiun SuSchool of Traditional Chinese Medicine, College of Medicine, Chang Gung University, Taoyuan, Taiwan.ORCID https://orcid.org/0000-0002-8372-1166
Ya-Chung TianDepartment of Nephrology and Kidney Research Center, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan.ORCID https://orcid.org/0000-0002-1104-889X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chronic kidney disease (CKD) is a global health concern and early detection is crucial for preventing progression. Current screening methods are inconvenient and resource intensive. Breath ammonia has been proposed as a non-invasive biomarker for renal dysfunction but its diagnostic accuracy and the impact of fasting remain unclear. This study aimed to validate the breath ammonia test for CKD screening and assess the effect of fasting on its diagnostic performance. Methods: This prospective study included 244 participants: a derivation cohort ( Results: The average age of the participants was 60.7 years, with males comprising 51% of the cohort. Breath ammonia levels significantly correlated with serum creatinine ( Conclusions: The breath ammonia test is a promising non-invasive CKD screening tool. Standardizing pretest fasting may further improve its diagnostic accuracy.

Indexed as

breath ammonia testchronic kidney diseasefastingscreening

Identifiers

PMID42027901
PMCPMC13101991

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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.