Evidence map›Paper›PMID 42306616›Full record

ReviewFood and waterborne parasitology2026

From conventional to biosensor-based detection of

Munwar Ali, Xiaohui Liang, Ali Raza, Chang Xu, Tingting Sun, Qing He, Zizye Zhu, Kun Li, Lizeng Peng

Abstract readReview
In one paragraph

Review in Food and waterborne parasitology, 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

9 authors.

Munwar AliCollege of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China.
Xiaohui LiangSchool of Life Sciences, Qilu Normal University, Jinan 250200, China.
Ali RazaSchool of Environmental and Rural Science, University of New England, Armidale, NSW, 2351, Australia.
Chang XuCollege of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China.
Tingting SunSchool of Life Sciences, Qilu Normal University, Jinan 250200, China.
Qing HeCollege of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China.
Zizye ZhuCollege of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China.
Kun LiCollege of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China.
Lizeng PengKey Laboratory of Novel Food Resources Processing & Institute of Agro-Food Sciences and Technology, Shandong Academy of Agricultural Sciences, Jinan 250100, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Zoonotic food- and waterborne protozoan parasites (FWPPs) pose a significant global public health risk, causing substantial morbidity via contaminated fresh produce, water, and meat. Despite their notable impact, surveillance and detection technologies remain inadequate for high-priority protozoans such as

Indexed as

BiosensorsDetectionFoodHazardsParasitesWater

Identifiers

PMID42306616
PMCPMC13266204

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.