ArticleClinics (Sao Paulo, Brazil)2026
Portable quantitative detection of serum total cholesterol using smartphone-based image colorimetry.
Article in Clinics (Sao Paulo, Brazil), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTraditional biochemical testing is limited by fixed sites, specialized equipment, and long turnaround times, severely reducing patient compliance with regular monitoring. To address the demands of routine lipid management, this study developed a simple, rapid and low-cost method for Total Cholesterol (TC) detection that enables high-throughput parallel processing of multiple samples.
methodThis method synchronously identifies the RGB values of multiple pixels in an image through a mobile phone camera. All experiment procedures were strictly followed according to the guidelines of the National Committee for Clinical Laboratory Standards. Multiple performance indicators of the device were evaluated, and the results were compared for consistency with those from a fully automated clinical biochemical analyzer.
resultsThe TC concentration showed the strongest quantitative correlation with the green channel intensity (G-value). This method was preliminarily validated on a prototype smartphone. Both its detection precision and accuracy met clinical standards. The method demonstrated satisfactory linearity over 1.19-8.49 mmoL/L, and its analytical results for the limited samples in this study were highly consistent with those obtained from the automatic biochemical analyzer.
conclusionsIntegrating low cost and high efficiency, this novel method has great application potential in indoor settings within primary healthcare institutions and resource-limited remote areas.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.