Evidence map›Paper›PMID 42834839›Full record

ArticleJournal of clinical laboratory analysis2026

Development and Analytical Validation of a Smartphone-Based Quantitative Lateral Flow Immunoassay for Serum Cystatin-C.

Ye Lian, Ruiying Zheng, Chenqi Yang, Yueyang Luo, Na Zhang, Guojun Lian, Baoqing Li

Abstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Ye LianCollege of Science, Mathematics and Technology, Wenzhou-Kean University, Wenzhou, China.
Ruiying ZhengFirst School of Medicine (School of Information and Engineering), Wenzhou Medical University, Wenzhou, China.
Chenqi YangCollege of Information Science and Engineering, Ningbo University, Ningbo, China.
Yueyang LuoCollege of Science, Mathematics and Technology, Wenzhou-Kean University, Wenzhou, China.
Na ZhangSchool of Laboratory Medicine (School of Life Sciences), Wenzhou Medical University, Wenzhou, China.
Guojun LianSchool of Laboratory Medicine (School of Life Sciences), Wenzhou Medical University, Wenzhou, China.ORCID https://orcid.org/0009-0002-3912-3107
Baoqing LiClinical Laboratory Center, Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.

Funding

National College Students Innovation and Entrepreneurship Training Program 202516405001S
6 · The paper itself

Abstract

backgroundCystatin-C is an important renal function biomarker, but conventional quantification requires centralized laboratory analyzers, limiting timely testing in primary care and resource-limited settings.

methodsWe developed and validated a quantitative smartphone-based lateral flow immunoassay (SP-LFIA) comprising a colorimetric strip, a Redmi Note 12R smartphone, a fixed-geometry macro-lens module with integrated LED illumination, and an Android application. The application directly converted background-corrected test/control-line (T/C) ratios into concentrations using a batch-specific third-order polynomial calibration model. Analytical validation followed relevant Clinical and Laboratory Standards Institute guidelines.

resultsThe assay showed a quantitative range of 0.32-8.00 mg/L and a limit of detection of 0.15 mg/L. Intra- and inter-assay coefficients of variation were below 10%. No significant interference was observed from bilirubin, triglycerides, hemoglobin, rheumatoid factor, gentamicin sulfate, norvancomycin hydrochloride, or cisplatin at the tested concentrations. Accelerated testing supported strip performance after storage at 50°C for 28 days. In 120 clinical serum samples, SP-LFIA agreed closely with the commercial particle-enhanced turbidimetric immunoassay reference method (R

conclusionThe smartphone-based LFIA provides a reliable, rapid, low-cost, and practical approach to quantitative Cystatin-C testing in point-of-care settings where serum preparation is available.

Indexed as

clinical method validationcystatin‐Cgold nanoparticleslateral flow immunoassaypoint‐of‐care testingquantitative analysissmartphone‐based detection

Identifiers

PMID42834839
PMCPMC13639760

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.