Evidence map›Paper›PMID 40624366›Full record

ArticleScientific reports2025

The clinical application value of the KU-F40 fully automatic fecal analyzer for the detection of fecal parasites: A large-sample retrospective study.

Chu Huang, Yunhua Huang, Faquan Lin, Lin Liao

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Development and validation of the AI-predictive ParaScoutEmerging microbes & infections · 2026
    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

4 authors.

Chu HuangKey Laboratory of Clinical Laboratory Medicine of Guangxi Department of Education, Department of Clinical Laboratory, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi, China.
Yunhua HuangKey Laboratory of Clinical Laboratory Medicine of Guangxi Department of Education, Department of Clinical Laboratory, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi, China.
Faquan LinKey Laboratory of Clinical Laboratory Medicine of Guangxi Department of Education, Department of Clinical Laboratory, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi, China.
Lin LiaoKey Laboratory of Clinical Laboratory Medicine of Guangxi Department of Education, Department of Clinical Laboratory, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi, China. liaolin789@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Improving the sensitivity of parasite detection is an urgent task for global public health. The traditional manual microscopy method still has some shortcomings in fecal parasite detection. This study aimed to evaluate the clinical application value of the KU-F40 fully automated fecal analyzer in fecal parasite detection by comparing the fecal detection results of the manual microscopy method with those of the KU-F40 instrumental method. Fecal test results were collected from January to June 2023 and January to June 2024, and divided into manual microscopy group (n = 51,627) and KU-F40 instrumental group (n = 50,606) according to methodology. The detection levels and species of parasites detected by the two methods were retrospectively analyzed. The KU-F40 instrumental group had a higher parasite detection level (8.74%) than the manual microscopy group (2.81%), with statistically significant differences between groups (χ

Indexed as

FecesParasitesAdultAnimalsFemaleHumansMaleMicroscopyMiddle AgedRetrospective StudiesSensitivity and SpecificityClinical application valueFecal detectionKU-F40 fully automatic fecal analyzerManual microscopyParasite

Identifiers

PMID40624366
PMCPMC12234752

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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.