Evidence map›Paper›PMID 34782019›Full record

ArticleJournal of intensive care2021

Decreased urinary uromodulin is potentially associated with acute kidney injury: a systematic review and meta-analysis.

Ruilian You, Hua Zheng, Lubin Xu, Tiantian Ma, Gang Chen, Peng Xia, Xiaohong Fan, Peili Ji, Li Wang, Limeng Chen

Open access · goldAbstract read
In one paragraph

Article in Journal of intensive care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 14% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Gut microbiota and neonatal acute kidney injury biomarkers.Pediatric nephrology (Berlin, Germany) · 2023
    Review
  9. 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

10 authors at 2 institutions in 1 country.

Ruilian You *Department of Nephrology, Peking Union Medical College Hospital, No 1, Shuaifuyuan, Wangfujing St, Beijing, 100730, China.
Hua Zheng *Department of Nephrology, Peking Union Medical College Hospital, No 1, Shuaifuyuan, Wangfujing St, Beijing, 100730, China.
Lubin XuDepartment of Nephrology, Peking Union Medical College Hospital, No 1, Shuaifuyuan, Wangfujing St, Beijing, 100730, China.
Tiantian MaDepartment of Nephrology, Peking Union Medical College Hospital, No 1, Shuaifuyuan, Wangfujing St, Beijing, 100730, China.
Gang ChenDepartment of Nephrology, Peking Union Medical College Hospital, No 1, Shuaifuyuan, Wangfujing St, Beijing, 100730, China.
Peng XiaDepartment of Nephrology, Peking Union Medical College Hospital, No 1, Shuaifuyuan, Wangfujing St, Beijing, 100730, China.
Xiaohong FanDepartment of Nephrology, Peking Union Medical College Hospital, No 1, Shuaifuyuan, Wangfujing St, Beijing, 100730, China.
Peili JiDepartment of Nephrology, Peking Union Medical College Hospital, No 1, Shuaifuyuan, Wangfujing St, Beijing, 100730, China.
Li WangDepartment of Epidemiology and Biostatistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, 100005, China.
Limeng ChenDepartment of Nephrology, Peking Union Medical College Hospital, No 1, Shuaifuyuan, Wangfujing St, Beijing, 100730, China. chenlimeng@pumch.cn.
Peking Union Medical College Hospital · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

beijing natural science foundation L202035capital's funds for health improvement and research CFH 2020-2-4018national natural scientific foundation of china 81470937national natural scientific foundation of china 81970607the key research and development program of ningxia hui autonomous region 2018BFG02010
6 · The paper itself

Abstract

backgroundUrinary uromodulin (uUMOD) is one of the novel biomarkers for predicting AKI. However, currently available publications showed inconsistent results. We designed this meta-analysis to evaluate the potential association between uUMOD and AKI.

methodsWe searched research articles with no language restriction in Medline, Web of Science, Cochrane Library, Embase, and 3 Chinese datasets from inception to February 2021. We used random-effects models to estimate the standardized mean difference (SMD) between patients with AKI or not, while the leave-one-out method and random-effects meta-regression to evaluate the sensitivity and the impact of potential confounders such as age and surgery.

resultsThe meta-analysis comprising 3148 subjects from 11 studies showed that the uUMOD of the AKI group is significantly lower than the non-AKI group (SMD: - 0.71; 95% confidence interval (CI), - 1.00, - 0.42, P < 0. 001, I

conclusionThe present study suggested a negative association between uUMOD and AKI especially in children and surgical patients.

Indexed as

Acute kidney injuryBiomarkersUromodulin

Identifiers

PMID34782019
PMCPMC8591828
OpenAlexW3213859414

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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.