Evidence map›Paper›PMID 35242949›Full record

ArticleData in brief2022

Meta-analysis data of the accuracy of tests for meat adulteration by real-time PCR.

Aisha N Iskakova, Gulyaim K Abitayeva, Arman B Abeev, Zinigul S Sarmurzina

Open access · goldAbstract read
In one paragraph

Article in Data in brief, 2022. 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
0.8field-weighted citation impact, top 32% 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

1 citing paper in PubMed, 9 citations in OpenAlex.

  1. 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 at 2 institutions in 1 country.

Aisha N IskakovaRepublican State Enterprise ``Republican Collection of Microorganisms'' of the Committee of Science of the Ministry of Education and Science of the Republic of Kazakhstan, Shokan Valikhanov Street, 13/1, Nur-Sultan 010000, Kazakhstan.
Gulyaim K AbitayevaRepublican State Enterprise ``Republican Collection of Microorganisms'' of the Committee of Science of the Ministry of Education and Science of the Republic of Kazakhstan, Shokan Valikhanov Street, 13/1, Nur-Sultan 010000, Kazakhstan.
Arman B Abeev"ABIOTECH'', LLP, Shokan Valikhanov street, 13/1, Nur-Sultan 010000, Kazakhstan.
Zinigul S SarmurzinaRepublican State Enterprise ``Republican Collection of Microorganisms'' of the Committee of Science of the Ministry of Education and Science of the Republic of Kazakhstan, Shokan Valikhanov Street, 13/1, Nur-Sultan 010000, Kazakhstan.
Ministry of Education and Science of the Republic of Kazakhstan · KZKazMunayGas (Kazakhstan) · KZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adulteration of meat products, including illegal substitution and addition of ingredients, tampering, and the misrepresentation and labelling of food or food ingredients, is becoming a more serious problem globally. The consequences of such manipulations can pose various health risks for consumers, including food allergies and poisoning. This study investigates the problem of meat product adulteration, and detection of the same using real-time polymerase chain reaction (qPCR). Review question: What is the diagnostic accuracy of real-time PCR testing for the detection of meat adulteration? A review via meta-analysis was conducted. Searches were conducted in the Web of Science and MEDLINE (February 2021). All data processing was carried out using Review Manager 5.4 and Meta-Disc 1.4 software.

Indexed as

AdulterationMeta-analysisqPCRReal-time PCRSensitivitySpecificity

Identifiers

PMID35242949
PMCPMC8881715
OpenAlexW4212838278

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.