Evidence map›Paper›PMID 42328182›Full record

ArticleFrontiers in cellular and infection microbiology2026

Rapid serological detection of smooth

Kaiyutai Zhou, Chenye You, Fucheng Wang, Lulu Li, Liyan Lian, Yuanzheng Jia, Xiangan Han, Wei Jiang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in cellular and infection microbiology, 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

8 authors.

Kaiyutai Zhou *State Key Laboratory of Dairy Biotechnology, Shanghai Engineering Research Center of Dairy Biotechnology, Dairy Research Institute, Bright Dairy & Food Co., Ltd, Shanghai, China.
Chenye You *Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China.
Fucheng Wang *Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China.
Lulu LiShanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China.
Liyan LianShanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China.
Yuanzheng JiaShanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China.
Xiangan HanShanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China.
Wei JiangState Key Laboratory of Dairy Biotechnology, Shanghai Engineering Research Center of Dairy Biotechnology, Dairy Research Institute, Bright Dairy & Food Co., Ltd, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brucellosis, a severe zoonotic disease with over 2,000,000 annual human cases, poses a major threat to the livestock industry and public health. Early and accurate diagnosis in animals is crucial for control, but current methods are often time-consuming, equipment-dependent, or prone to cross-reactivity. This study developed a cost-efficient dynamic flow immunochromatography (DFICT) technique for the accurate diagnosis of bovine and sheep Smooth brucellosis. The assay utilizes a test strip with Smooth lipopolysaccharide and

Indexed as

Antibodies, BacterialBrucellaBrucellosisBrucellosis, BovineCattle DiseasesChromatography, AffinitySerologic TestsSheep DiseasesAnimalsCattleRapid Diagnostic TestsSensitivity and SpecificitySheepAntibodies, Bacterialbovinebrucellosisdynamic flow immunochromatographic testlipopolysaccharidessheepsmooth lipopolysaccharide

Identifiers

PMID42328182
PMCPMC13275397

What OpenQuestion holds

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LicenceCC BY
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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.