Evidence map›Paper›PMID 39273375›Full record

ArticleInternational journal of molecular sciences2024

Advancing 3Rs: The Mouse Estrus Detector (MED) as a Low-Stress, Painless, and Efficient Tool for Estrus Determination in Mice.

Irina V Belozertseva, Dmitrijs D Merkulovs, Helena Kaiser, Timofey S Rozhdestvensky, Boris V Skryabin

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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.

Irina V BelozertsevaValdman Institute of Pharmacology, Pavlov First Saint Petersburg State Medical University, L'va Tolstogo str. 6-8, St. Petersburg 197022, Russia.ORCID 0000-0001-8572-3600
Dmitrijs D MerkulovsELMI Ltd., Bukultu str. 7B, LV-1005 Riga, Latvia.ORCID 0009-0000-8150-9877
Helena KaiserCore Facility Transgenic Animal and Genetic Engineering Models (TRAM), Medical Faculty, University of Münster, von-Esmarch str. 56, D-48149 Münster, Germany.
Timofey S RozhdestvenskyCore Facility Transgenic Animal and Genetic Engineering Models (TRAM), Medical Faculty, University of Münster, von-Esmarch str. 56, D-48149 Münster, Germany.ORCID 0000-0002-3384-925X
Boris V SkryabinCore Facility Transgenic Animal and Genetic Engineering Models (TRAM), Medical Faculty, University of Münster, von-Esmarch str. 56, D-48149 Münster, Germany.ORCID 0000-0002-4392-185X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Determining the estrous cycle stages in mice is essential for optimizing breeding strategies, synchronizing experimental timelines, and facilitating studies in behavior, drug testing, and genetics. It is critical for reducing the production of genetically unmodified offspring in the generation and investigation of genetically modified animal models. An accurate detection of the estrus cycle is particularly relevant in the context of the 3Rs-Replacement, Reduction, and Refinement. The estrous cycle, encompassing the reproductive phases of mice, is key to refining experimental designs and addressing ethical issues related to the use of animals in research. This study presents results from two independent laboratories on the efficacy of the Mouse Estrus Detector (MED) from ELMI Ltd. (Latvia) for the accurate determination of the estrus phase. The female mice of five strains/stocks (CD1, FVB/N, C57Bl6/J, B6D2F1, and Swiss) were used. The results showed that the MEDPro

Indexed as

EstrusEstrus DetectionAnimalsEstrous CycleFemaleMaleMice3Rsfemale mice estrous cyclemouse estrus detectorvaginal wall active resistance

Identifiers

PMID39273375
PMCPMC11395264

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Registered trials

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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.