Evidence map›Paper›PMID 36876018›Full record

ArticleFrontiers in veterinary science2023

Integrating filter paper extraction, isothermal amplification, and lateral flow dipstick methods to detect

Lingling Zhu, Fengju Gong, Xia Liu, Xueqiang Sun, Yong Yu, Jie Shu, Zihao Pan

Open access · goldAbstract read
In one paragraph

Article in Frontiers in veterinary science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 24% of its field
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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Super-Fast Detection ofFoods (Basel, Switzerland) · 2025
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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 at 2 institutions in 1 country.

Lingling ZhuOIE Reference Laboratory for Swine Streptococcosis, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, China.
Fengju GongCollege of Veterinary Medicine, Nanjing Agricultural University, Nanjing, China.
Xia LiuDepartment of Detection and Diagnosis, Guizhou Animal Disease Prevention and Control Center, Guizhou, China.
Xueqiang SunDepartment of Animal Diseases, China Animal Health and Epidemiology Center, Qingdao, China.
Yong YuOIE Reference Laboratory for Swine Streptococcosis, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, China.
Jie ShuCollege of Veterinary Medicine, Nanjing Agricultural University, Nanjing, China.
Zihao PanOIE Reference Laboratory for Swine Streptococcosis, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, China.
Nanjing Agricultural University · CNChina Animal Health and Epidemiology Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Mastitis is one of the most serious diseases affecting dairy farming, causing huge economic losses worldwide. Methods: In this study, a rapid detection method for Results: The results showed that the lowest extraction line for DED was 0.01-0.001 ng/μl. In the specificity study, 12 different bacteria were tested, and only Discussion: In summary, the method established in this study does not require laboratory equipment and is suitable for on-site detection. The entire method takes only 15 min, is low in cost, has high precision and low technical requirements for operators, which is in contrast with the high cost and cumbersome operation of traditional methods, and is suitable for on-site testing in areas with limited facilities.

Indexed as

filter paper extractionisothermal amplificationlateral flow dipsticksrapid detectionStreptococcus agalactiae

Identifiers

PMID36876018
PMCPMC9978212
OpenAlexW4321107778

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.