Evidence map›Paper›PMID 39984512›Full record

ArticleScientific reports2025

Unexpectedly high rate of unrecognized acute kidney injury and its trend over the past 14 years.

Lina Han, Hongxiao Li, Lingfan Luo, Xiaolan Ye, Yan Ren, Zimeng Xu, Wei Zhang, Jiawei Zhang, Yiwen Li, Bin Chen and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. 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

12 authors.

Lina HanKidney Department, Zhenhai People's Hospital (Ningbo No.7 Hospital), 718 Nanerxi Road, Luotuo Subdistrict, Zhenhai, Ningbo, China.
Hongxiao LiUrology and Nephrology Center, Department of Nephrology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China.
Lingfan LuoUrology and Nephrology Center, Department of Nephrology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China.
Xiaolan YeCenter for Clinical Pharmacy, Department of Pharmacy, Hangzhou Medical College, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Cancer Center, Hangzhou, Zhejiang, China.
Yan RenUrology and Nephrology Center, Department of Nephrology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China.
Zimeng XuUrology and Nephrology Center, Department of Nephrology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China.
Wei ZhangUrology and Nephrology Center, Department of Nephrology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China.
Jiawei ZhangUrology and Nephrology Center, Department of Nephrology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China.
Yiwen LiUrology and Nephrology Center, Department of Nephrology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China.
Bin ChenKidney Department, Zhenhai People's Hospital (Ningbo No.7 Hospital), 718 Nanerxi Road, Luotuo Subdistrict, Zhenhai, Ningbo, China.
Bin ZhuUrology and Nephrology Center, Department of Nephrology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China.
Lina ShaoUrology and Nephrology Center, Department of Nephrology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China. shaolina@hmc.edu.cn.

Funding

Zhejiang Medical and Health Science and Technology Program 2024KY356Zhejiang Medical and Health Science and Technology Program 2024KY638Zhejiang Province Traditional Chinese Medicine Science and Technology Project 2023ZL670Zhejiang Provincial Natural Science Foundation of China LY24H050002Zhenhai District Medical Science and Technology Program 202302
6 · The paper itself

Abstract

Acute kidney injury (AKI) is a frequent yet often overlooked complication. This study examines the incidence, unrecognized rate, and outcomes of AKI in adults at a large public Chinese hospital from 2010 to 2023. AKI rates were calculated, and outcomes were assessed using follow-up records. Multivariate logistic regression identified risk factors for unrecognized AKI. Among 2,790,540 patients, 5,080 met the AKI criteria, with an overall incidence of 0.18% (0.78% in hospitalizations, 0.05% in outpatients). The unrecognized AKI was 76.3%. In this group, 75% were stage 1, 16.7% stage 2, and 8.3% stage 3. Orthopedics had the highest unrecognized rate (94.5%) and ICUs the lowest (55.77%). Unrecognition of AKI improved from 90.3% in 2010-2011 to 70.2% in 2022-2023. AKI stage progression was linked to poorer survival. Patients with recognized AKI recovered faster than those with unrecognized AKI (8.0 vs. 9.0 days, p < 0.001). The mean follow-up time was 15.8 days, with similar rates at 28 and 90 days post-AKI for both groups. Risk factors for unrecognized AKI included lower AKI stage, baseline creatinine, absence of shock/heart disease/hypertension, and non-nephrology/surgery admissions. Non-nephrology physicians' unfamiliarity with AKI guidelines may contribute to low awareness. Improved early detection and monitoring in high-risk groups are needed.

Indexed as

Acute Kidney InjuryAdultAgedAged, 80 and overChinaFemaleHospitalizationHumansIncidenceMaleMiddle AgedRisk FactorsAcute kidney injuryRisk factorsSurvival prognosisUnrecognized rate

Identifiers

PMID39984512
PMCPMC11845613

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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.