Evidence map›Paper›PMID 40161445›Full record

ArticleJournal of pharmaceutical analysis2025

Development of a smartphone-integrated handheld automated biochemical analyzer for point-of-care testing of urinary albumin.

Ze Wu, Peng Zhang, Wei Xiao, Qian Chen, Wangrun Lin, Peipei Chen, Kangwei Chen, Qiangqiang Fu, Zhijian Wang, Lei Zheng

Abstract read
In one paragraph

Article in Journal of pharmaceutical analysis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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

10 authors.

Ze WuDepartment of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
Peng ZhangDepartment of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
Wei XiaoDepartment of Laboratory Medicine, Guangdong Second Provincial General Hospital, Guangzhou, 510320, China.
Qian ChenDepartment of Obstetrics and Gynaecology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
Wangrun LinDepartment of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
Peipei ChenDepartment of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
Kangwei ChenDepartment of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
Qiangqiang FuDepartment of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
Zhijian WangDepartment of Obstetrics and Gynaecology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
Lei ZhengDepartment of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The level of urinary albumin is a critical indicator for the early diagnosis and management of chronic kidney disease (CKD). However, existing methods for detecting albumin are not conducive to point-of-care testing due to the complexity of reagent addition and incubation processes. This study presents a smartphone-integrated handheld automated biochemical analyzer (sHABA) designed for point-of-care testing of urinary albumin. The sHABA features a pre-loaded, disposable reagent cassette with reagents for the albumin assay arranged in the order of their addition within a hose. The smartphone-integrated analyzer can drive the reagents following a preset program, to enable automatic sequential addition. The sHABA has a detection limit for albumin of 5.9 mg/L and a linear detection range from 7 to 450 mg/L. The consistency of albumin level detection in 931 urine samples using sHABA with clinical tests indicates good sensitivity (95.78%) and specificity (90.16%). This research advances the field by providing an automated detection method for albumin in a portable device, allowing even untrained individuals to monitor CKD in real time at the patient's bedside. In the context of promoting tiered diagnosis and treatment, the sHABA has the potential to become an essential tool for the early diagnosis and comprehensive management of CKD and other chronic conditions.

Indexed as

AlbuminBiochemical analyzerChronic kidney diseasePoint-of-care testingSmartphone

Identifiers

PMID40161445
PMCPMC11950751

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.