Evidence map›Paper›PMID 24614306›Full record

ArticlePloS one2014

Strategies for using the sheep ovarian cortex as a model in reproductive medicine.

Maïté Fransolet, Soraya Labied, Laurie Henry, Marie-Caroline Masereel, Eric Rozet, Nathalie Kirschvink, Michelle Nisolle, Carine Munaut

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
6.7field-weighted citation impact, top 3% 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

20 citing papers in PubMed, 42 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

8 authors at 2 institutions in 1 country.

Maïté FransoletLaboratory of Tumor and Developmental Biology, GIGA-R, University of Liège, Tour de Pathologie (B23), Sart Tilman, Liège, Belgium.
Soraya LabiedLaboratory of Tumor and Developmental Biology, GIGA-R, University of Liège, Tour de Pathologie (B23), Sart Tilman, Liège, Belgium.
Laurie HenryLaboratory of Tumor and Developmental Biology, GIGA-R, University of Liège, Tour de Pathologie (B23), Sart Tilman, Liège, Belgium.
Marie-Caroline MasereelLaboratory of Tumor and Developmental Biology, GIGA-R, University of Liège, Tour de Pathologie (B23), Sart Tilman, Liège, Belgium.
Eric RozetAnalytical Chemistry Laboratory, CIRM, Institute of Pharmacy, University of Liège, and Arlenda s.a., Sart Tilman, Liège, Belgium.
Nathalie KirschvinkVeterinary Integrated Research Unit, Faculty of Sciences, Namur Research Institute for Life Sciences (NARILIS), University of Namur (UNamur), Namur, Belgium.
Michelle NisolleLaboratory of Tumor and Developmental Biology, GIGA-R, University of Liège, Tour de Pathologie (B23), Sart Tilman, Liège, Belgium; Department of Obstetrics and Gynecology, University of Liège, Hôpital la Citadelle, Liège, Belgium.
Carine MunautLaboratory of Tumor and Developmental Biology, GIGA-R, University of Liège, Tour de Pathologie (B23), Sart Tilman, Liège, Belgium.
University of Liège · BEUniversity of Namur · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate and compare the distribution and density of primordial follicles within a whole sheep ovary and to gain insight into how to overcome the impact of natural follicular heterogeneity on the experimental results.

designHistological study.

settingAcademic research center. ANIMALS: Five- to nine-month-old ewes.

interventionsFreshly sampled whole sheep ovaries were collected and prepared for histological analysis. MAIN OUTCOME MEASURE(S): The follicular densities and distributions were determined for hematoxylin and eosin sections. A mathematical model was derived based on the follicle counts and Monte-Carlo simulations.

resultsHeterogeneous distributions and densities of primordial follicles were identified 1) for distinct areas of the same ovarian cortex, 2) between the ovaries of the same animal and 3) across different ewes. A mathematical model based on the analysis of 37,153 primordial follicles from 8 different ovaries facilitated the estimation of the number of cortical biopsies and sections that had to be analyzed to overcome such heterogeneity.

conclusionThe influence of physiological follicular heterogeneity on experimental and clinical results can be overcome when a definite number of cortical pieces and sections are taken into consideration.

Indexed as

Models, AnimalAnimalsComputer SimulationFemaleModels, BiologicalMonte Carlo MethodOvarian FollicleOvaryReproductive MedicineSample SizeSheep

Identifiers

PMID24614306
PMCPMC3948732
OpenAlexW2093188565

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.