Evidence map›Paper›PMID 35385608›Full record

ArticleDrug testing and analysis2022

A single LC-MS/MS validated method for tulathromycin quantification in plasma, seminal plasma, and urine to be applied in a pharmacokinetic study in bull.

Andrea Barbarossa, Anisa Bardhi, Teresa Gazzotti, Gaetano Mari, Giampiero Pagliuca

Open access · hybridAbstract read
In one paragraph

Article in Drug testing and analysis, 2022. 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
1.1field-weighted citation impact, top 27% 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, 9 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Andrea BarbarossaDepartment of Veterinary Medical Sciences, University of Bologna, Bologna.ORCID https://orcid.org/0000-0002-7742-4229
Anisa BardhiDepartment of Veterinary Medical Sciences, University of Bologna, Bologna.ORCID https://orcid.org/0000-0002-2012-2852
Teresa GazzottiDepartment of Veterinary Medical Sciences, University of Bologna, Bologna.
Gaetano MariDepartment of Veterinary Medical Sciences, University of Bologna, Bologna.
Giampiero PagliucaDepartment of Veterinary Medical Sciences, University of Bologna, Bologna.
Research Centre for Cereal and Industrial Crops · ITUniversity of Bologna · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tulathromycin is a macrolide antibiotic generally used for the treatment of respiratory diseases in cattle and swine. This work proposes an improvement of a previously published LC-MS/MS method for tulathromycin determination in pig serum, here validated in three different bull matrices: plasma, seminal plasma, and urine. The approach is based on a quick protein precipitation with acetonitrile, filtration, and sample dilution before injection, allowing to rapidly process large batches of samples. Analytes separation was obtained using a BEH C18 (50 × 2.1 mm, 1.7 μm) column, maintained at 40°C with a chromatographic run of 5 min. The method was fully validated over concentration ranges suitable for field levels of tulathromycin found in each matrix (0.01-1 μg/ml for plasma, 0.05-5 μg/ml for seminal plasma, and 0.1-10 μg/ml for urine), showing good linearity during each day of testing (R

Indexed as

SemenTandem Mass SpectrometryAnimalsCattleChromatography, High Pressure LiquidChromatography, LiquidDisaccharidesHeterocyclic CompoundsMacrolidesMaleReproducibility of ResultsSwineDisaccharidesHeterocyclic CompoundsMacrolidestulathromycinLC-MSplasmaseminal plasmatulathromycinurine

Identifiers

PMID35385608
PMCPMC9544005
OpenAlexW4223536601

What OpenQuestion holds

Textmetadata
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.